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Explorer cover graphic reading Procurement Transformation, Navigating Procurement Transformation in Manufacturing, tagged Procurement 101, with an isometric grid of glowing blue cubes

Several key factors are propelling procurement transformation in the manufacturing sector:Technology Advancements:Digital tools and platforms are revolutionizing how manufacturers source materials, manage supplier relationships, and analyze procurement data. From cloud-based procurement solutions to AI and machine learning, technology is at the forefront of procurement transformation. 74% of senior executives in the US middle market firms said <a href="https://rsmus.com/middle-market/mmbi.html#:~:text=The%20RSM%20US%20Middle%20Market%20Business%20Index%20special%20report%20on,middle%20market's%20approach%20to%20technology.&amp;text=Executives%20at%20midsize%20companies%20agree,according%20to%20RSM's%20special%20report." rel="noopener noreferrer" target="_blank">digital transformation was the most important area of investment</a> for their companies.Global Supply Chain Crisis:The global manufacturing landscape is constantly changing, influenced by factors. According to Blue Yonder’s 2023 Supply Chain Executive Survey, 48% of manufacturers have watched their profit margins shrink due to cost increases during the pandemic time.Regulatory and Sustainability Considerations:With an increasing focus on sustainability and ethical sourcing, manufacturers are revising their procurement strategies to comply with regulatory requirements and meet sustainability goals.

In addressing the challenges faced by the manufacturing industry, the utilization of digital technologies and addressing labor shortages have become indispensable. Companies are called <a href="https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-digital-transformation" rel="noopener noreferrer" target="_blank">digital transformation</a> when they respond to the rapid changes in the business environment by utilizing data and digital technology to innovate products, services, and business models based on the needs of customers and society. They also transform their operations, organization, processes, and corporate culture/climate to establish competitive advantages.The journey of digital transformation (DX) in the manufacturing sector is complex and multifaceted, encompassing various aspects of operations, from work processes to the overarching business model. Here, we delve into the four critical layers that constitute the foundation of digital transformation in manufacturing: Work, Value Chain, Business Model, and Culture.<img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2F3d5e6259e7d1429ba70ab470e9c87d7b?alt=media&amp;token=11b2e31d-d8f1-4133-99ee-5a456a707a8f&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="Pyramid diagram of the four layers of manufacturing digital transformation: Work, Value chain, Business model, and Culture, each paired with a DX goal and example"><h3>Work: Enhancing Efficiency through Automation</h3>At the core of digital transformation is the automation and robotization of tasks traditionally performed by humans, significantly improving work efficiency. Examples include:<ul><li>Utilizing Robotic Process Automation (RPA) tools like Ui Path to automate routine Excel data entry tasks. (<a href="https://www.uipath.com/" rel="noopener noreferrer" target="_blank">Ui Path</a>)</li><li>Implementing robots in manufacturing for tasks that are simple yet critical, ensuring consistent quality and efficiency (<a href="https://www.robots.com/articles/robotic-welders-at-caterpillar-inc" rel="noopener noreferrer" target="_blank">Caterpillar</a>)</li></ul><h3>Value Chain: Optimizing for Quality, Cost, and Delivery (QCD)</h3>Digital transformation extends to the optimization and integration of data across the value chain, enhancing the overall Quality, Cost, and Delivery (QCD) and the value created.This is achieved through:<ul><li>Integrating data to improve sales capabilities, such as using past quotation prices to refine sales strategies.</li><li>Accumulating historical defect data to stabilize QCD (Quality, Cost and Delivery), ensuring product quality and reliability.</li></ul><h3>Business Model: Customer-Centric Transformation</h3>A pivotal aspect of digital transformation is leveraging digital technology to evolve products into offerings that are more fundamentally focused on customer needs. This involves:Transitioning from selling machinery to providing comprehensive solutions<ul><li><a href="https://www.hbs.edu/faculty/Pages/item.aspx?num=52376" rel="noopener noreferrer" target="_blank">Siemens AG</a> successfully transformed its manufacturing through digitalization, leveraging IoT and AI for smart factories, boosting efficiency and creating new revenue streams.</li><li>Realizing 24-hour automation to support High-Mix Low-Volume (HMLV) production, catering to diverse customer demands efficiently.</li></ul><h3>Culture: Fostering a Digital-First Mindset</h3>The success of digital transformation also hinges on the ability to cultivate a company culture that embraces digital advancements. This includes<ul><li>Acquiring and utilizing new data to predict and respond to changes in customer behavior, ensuring that operations are not just efficient but also aligned with market needs.</li><li>Adopting an Agile workstyle, which emphasizes delivering outputs quickly with a focus on customer satisfaction, and enables cross-departmental teams to respond to early signs of change effectively.</li></ul>In essence, the digital transformation in manufacturing is a holistic process that requires concerted efforts across various dimensions of the business. From automating simple tasks to reshaping the company culture towards agility and customer-centricity, each layer plays a vital role in ensuring manufacturers can navigate the complexities of the modern market and emerge more resilient, efficient, and innovative.

Before delving into the intricacies of how to execute a transformation, it’s crucial to anchor our strategies and initiatives in a fundamental understanding of why transformation is not just beneficial but necessary for modern manufacturing firms. The WHY (objective) of transformation varies by company, but they can largely be divided into the following three patterns.Revenue Expansion<ul><li>Digitization and automation of procurement tasks based on each supplier’s attributes.</li><li>Integration of production management systems with suppliers and improvement of compliance with delivery schedules.</li></ul>Cost Reduction<ul><li>Proposals for Value Analysis/Value Engineering (VAVE) based on analysis of past ordering data.</li><li>Reduction of labor through automatic ordering and cost reduction through optimal ordering.</li></ul>Risk Reduction<ul><li>Supplier risk analysis for Business Continuity Planning (BCP). This involves the initiative to identify and replace hazardous materials in response to regulatory changes such as&nbsp;<a href="https://environment.ec.europa.eu/topics/waste-and-recycling/rohs-directive_en" rel="noopener noreferrer" target="_blank">RoHS</a>.</li></ul>

Implementing procurement transformation can seem daunting, but with a structured approach, manufacturers can navigate the journey with confidence:Assess Your Current Procurement Landscape:Understand your current processes, technologies, and supplier relationships to identify areas for improvement.Set Clear Objectives and Milestones:Define what you want to achieve with your transformation initiative, including specific, measurable goals.Select the Right Technologies and Partners:Choose technologies and partners that align with your objectives and can support your transformation journey.Cultivate a Culture of Continuous Improvement:Encourage innovation and adaptability within your organization to sustain the transformation over the long term.

At CADDi, we understand the complexities of procurement transformation. Our suite of solutions and services is designed to support manufacturers at every step of their transformation journey. From strategic sourcing to risk management, our platform empowers manufacturers to optimize their procurement processes.<img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2F9f992231deb54635b9307122233aa009?alt=media&amp;token=64d57f7d-6986-4b56-bb7c-329d61a4d59d&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="Explorer diagram: AI integrates spec, CAD, quotation, purchase, production, quality, sales, and maintenance data across departments to support standardization, VA/VE, supplier consolidation, quality stabilization, BCP, and organizational transformation"><h3>Integrate siloed data into one place</h3>Just by uploading CSV files, you can connect all relevant information to the associated drawings: cost, quantity, supplier information, sales price, cost breakdown, etc. <a href="https://caddi.com/en-us/platform/caddi-explorer/" rel="noopener noreferrer" target="_blank">Explorer</a> easily connects ERP data, CAM, CAD, quality defect reports, spec sheets automatically. With its proprietary OCR-based AI technology, Explorer automatically extracts and digitizes non-structural data such as legacy drawings in static scanned PDF files with handwritten texts.<img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2F8830308aec8c45bfac90580893a56ff7?alt=media&amp;token=a90cc247-4c87-41fd-ad61-bf7e09fb9c24&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="Dimensioned engineering drawing of a stepped shaft with an M18 threaded hole, shown under the Explorer logo, with a title block listing drawing number, part name, material, scale, and delivery date"><h3>AI-powered Intelligence to assist procurement analytics</h3>CADDi’s patented technology identifies the shape of each part to find “like parts” across all historical drawings, with all the relevant supply chain data (e.g., cost, quality, manufacturing notes, specs) automatically linked to each drawing. This allows you to achieve greater visibility into your dormant drawings within your file storage and draw actionable insights to help you drive cross-functional initiatives such as design standardization, VAVE, and supplier consolidation.<img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2F52c4c9e489444c1e9f70fd66f725ea03?alt=media&amp;token=66644345-70be-4251-bb9b-b71f183b99bd&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="CADDi Drawer on a laptop with the caption Instantly find Similar Drawings: a reference drawing is uploaded and a Similar drawing panel lists matching drawings with supplier names and purchase order counts"><h3>Streamline regulatory compliance work</h3>Dealing with various regulations and standard changes can be difficult and time-consuming. Explorer enables you to search through a large number of drawings and specifications, which were previously identified manually, to confirm their impact. The system digitizes information on 2D drawings, including supplier names and material information, and integrates this with procurement data and specs. Based on this data, it allows users to search by keywords and identify drawings that include specific substances along with the supplier name. This provides you with sufficient information to collaborate with each supplier on corrective measures to change materials and specifications to those that comply with regulations.

Procurement transformation is not just a trend; it’s a strategic imperative for manufacturers aiming to thrive in the modern business ecosystem. By embracing change and leveraging the right strategies and technologies, manufacturers can ensure their procurement practices contribute to long-term success and resilience.

Procurement 101: Navigating Procurement Transformation in Manufacturing

Explorer cover graphic reading Procurement Process Assessment, Finding inefficiencies and optimizing, beside a flowchart of connected blocks

A helpful procurement performance assessment is a major undertaking that will require cooperation across multiple parties. Don’t expect to breeze through this; instead, devote the time to get the most out of what you learn.Each company will have their own stumbling blocks and opportunities when completing their assessment. Generally speaking, though, these are the subtasks you need to complete:<h3>1. Ensure your systems can produce the data you need</h3>This preliminary task can be the most difficult. You need to make sure that your enterprise resource planning (ERP) software is producing and storing the data of what parts are procured on each deal. You want to know costs, quantities, suppliers, the dates of transactions, and more. You also want to track data about those parts once you’ve started using them, using your product lifecycle management (PLM) software. Data about quality, failure rate, and use duration should be stored for each part.The challenging thing is making sure there’s a connection between the order data of a part and the failure data of the same part in operation. Most software setups will have a disconnect. Using a <a href="https://us.caddi.com/resources/insights/systems-of-insight" rel="noopener noreferrer" target="_blank">system of insight</a>, like CADDi, can make these connections more consistent and intuitive. This is necessary in order to make accurate judgments in your procurement performance assessment.<h3>2. Determine the most critical KPIs for your procurement process</h3>You should go into your procurement performance assessment with specific goals in mind. Base these goals on where your process needs to achieve better performance. Do you need to decrease the time that each procurement cycle takes? Do you need to save more money on each deal?Once you have some sense of what you’re trying to achieve, determine the metrics that would reflect success in these categories. Some examples of KPIs for procurement processes include:<ol><li>Average spend on each deal</li><li>Average failure rate/year on each part</li><li>Average cycle length between orders being initiated and receiving the parts</li><li>Number of suppliers used in an average month</li><li>Contract compliance rate</li></ol>There are many more specific KPIs that may be required for specific goals. You may also want to focus on only certain types of deals, or certain suppliers.Once you have some KPIs you want to focus on, start collecting the baseline data of your system at its current state.Keep an open mind as you collect this data. You’re likely to notice metrics that are underperforming that you didn’t expect as you start to turn over rocks. You might need to reevaluate your priorities once you get a more accurate picture of your current performance.<h3>3. Investigate causes of procurement performance inefficiencies</h3>Once you understand where improvements are necessary, start investigating the causes of those inefficiencies. For example, if cycles are taking too long, look at where time is added during procurement. Is it in looking up past deals for related parts? Is it in putting out the RFQ to suppliers? Is it in approving a quote?Your system might not be granular enough at first to capture all of these sub-stages of cycles. Tracking this data may involve the cooperation and coordination of many different teams. Use a few specific examples and track them as they go through the steps.It’s important to note that this will require extra work for your procurement team and others. Don’t dump this on them as “additional work”, but allocate time and resources for it. Set your expectations for other work accordingly. Think of this as investment in your long-term process. It will be worth it.<h3>4. Attempt fixes and track results</h3>This seems like it would be the most difficult step, but sometimes your procurement performance assessment can reveal some surprisingly simple solutions. You may realize that some layer of approvals adds no value but consistently takes a long time. You may uncover old manual steps in processes that can be automated easily with modern technology.Other issues will require more sophisticated features. A common stumbling block in procurement is accessing old data. If investigating past deals for a given part, procurement teams typically need to look up specific order or part numbers. This leads to a lot of endless scrolling through databases or cross-referencing dozens of tables. Cutting-edge solutions do exist, however. CADDi can trivialize these searches by using <a href="https://us.caddi.com/product/procurement" rel="noopener noreferrer" target="_blank">drawing-based connections</a> to give you all relevant historical data without requiring any specific knowledge.Once you’ve implemented some changes, continue tracking your KPIs to ensure improvements. You may not immediately see the results you expect. Remember that process changes always have learning curves, so be patient as people become accustomed. It’s also possible that you misattributed an inefficiency. This isn’t anything to be ashamed of. Procurement is a complicated process where many things are interconnected. Reassess your hypotheses with the knowledge you’ve gained from your first attempt. Eventually all your roadblocks can be ironed out.<h3>5. Prepare your next procurement performance assessment</h3>The procurement performance assessment isn’t a “one and done” process. It should be something repeated on a regular basis. Even if all your initial goals are achieved, new improvements are always possible. Embrace a <a href="https://us.caddi.com/resources/insights/continuous-improvement" rel="noopener noreferrer" target="_blank">continuous improvement mentality</a> and keep finding areas to improve.

<a href="https://caddi.com/en-us/platform/caddi-explorer/" rel="noopener noreferrer" target="_blank">Explorer</a> represents a significant leap forward in the continuous improvement initiatives within the manufacturing sector, particularly in the realms of procurement and drawing management.<h3>Streamline activities in the procurement and manufacturing process</h3>The following features enable you to streamline the time-consuming tasks of data collection and organization in procurement and manufacturing operations.<ul><li>Cost data, supplier information, spec documents and manufacturing work instructions link automatically to each drawing and can also be exported together.</li><li>By using keyword searches combined with similarity searches, the time spent searching for drawings and data in procurement tasks can be reduced.</li></ul><img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2F46048292e4854d7fb1263f16cb4dac5b?alt=media&amp;token=18e2d8e7-91d3-4b37-a00e-15052a82a6a9&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="CADDi Drawer screenshot: a keyword search for &#x27;bearing&#x27; opens a dimensioned part drawing, with a side panel listing basic info such as drawing number, material, surface treatment and customer, plus purchase order details including supplier company, sales price, quantity and price.">One of the key aspects of Explorer that supports continuous improvement is its collaborative capabilities. In manufacturing, the ability to quickly share and review designs and specifications can significantly speed up the iteration process. Explorer allows for seamless collaboration among teams, regardless of their physical location, fostering an environment where feedback is rapidly integrated, and improvements are continuously implemented. This feature is crucial for manufacturers aiming to refine their processes and products steadily over time, as it ensures that all stakeholders can contribute to the enhancement of quality and efficiency.

Procurement Performance Assessment - What it is and how to do one

Traditional procurement data sources like ERP systems, supplier records, and inventory databases often fall short in providing comprehensive insights as below.<ul><li>Incomplete data – Not all relevant procurement data gets captured in these systems. Important details may be stored in emails, spreadsheets, or paper documents separate from core databases. This results in blindspots in analysis.</li><li>Data inconsistencies – Since procurement data comes from multiple sources, there are often inconsistencies in categorization, naming conventions, units of measure, and more. Resolving these is time-consuming.</li><li>Inaccurate data – Errors can creep in from manual data entry across different systems. Typos, duplicates, and outdated information reduce data accuracy.</li><li>Siloed data – Cross-functional data is difficult to connect. There may be limited visibility between engineering, procurement, finance, and other departments.</li></ul>These limitations result in procurement analytics that is incompleted, fragmented, and unreliable. Key insights get missed, leading to suboptimal spending decisions.

Engineering drawings contain a wealth of detailed product data and specifications that are often overlooked in procurement processes. By tapping into this rich data source, organizations can gain powerful insights to optimize purchasing and improve bottom lines.Drawings include precise materials specifications, dimensional data, tolerance requirements, surface finish designations, and other technical details for manufactured parts and assemblies. The visualization of drawing data in structured formats allows buyers to understand exact product needs for more informed sourcing. This information provides invaluable accuracy for procurement teams to source components that perfectly match design requirements.Extracting data from drawings also enables advanced analytics of engineering requirements. Statistical analysis of materials usage, cost driver metrics, supplier performance, and other trends can help procurement managers negotiate better contracts, consolidate purchases for volume discounts, and streamline inventories.The level of detail in engineering drawings simply cannot be captured through traditional procurement data sources like purchase orders and invoices. Unlocking the untapped potential in legacy drawing archives represents a massive opportunity to strengthen <a href="https://caddi.com/en-us/resources/insights/procurement-intelligence/" rel="noopener noreferrer" target="_blank">procurement intelligence</a>

Drawing data, however, is often siloed and disconnected. You need to build a foundation where&nbsp;drawing data is linked to ERP and procurement systems across the enterprise to identify savings opportunities and reduce maverick buying.<a href="https://caddi.com/en-us/resources/insights/ai-in-procurement/" rel="noopener noreferrer" target="_blank">Advanced technologies like AI and machine learning (ML)</a> are key to harnessing the full potential of drawing data. AI can automate the extraction of metadata from drawings at scale. This includes information on parts, materials, dimensions, and more.ML algorithms can then analyze these extracted datasets to spot trends and patterns. This may reveal inefficiencies in procurement spend or design reuse. ML can also enable predictive analytics, forecasting future materials and parts needs.Integrating disconnected drawing data enables holistic analysis with AI and ML. This gives procurement leaders the actionable insights needed to optimize operations. Drawing data integration culminates in a digital thread that connects design, procurement, and manufacturing.

Engineering drawings contain a wealth of data that can empower procurement teams to optimize spending and processes when leveraged properly. Here are some of the ways drawing data can lead to procurement improvements:<h4>Improved <a href="https://caddi.com/en-us/resources/insights/spend-analysis/" rel="noopener noreferrer" target="_blank">Spend Analysis</a></h4><ul><li>Analyzing drawing data helps identify the specific parts, materials, and services being purchased. This granular understanding improves spend visibility.</li><li>Data from drawings enables a digital bill of materials for tracking quantities and costs. This enhances spend analytics.</li><li>Drawing details reveal specifications and requirements for purchased items. This knowledge strengthens strategic sourcing decisions.</li></ul><h4>Stronger <a href="https://caddi.com/en-us/resources/insights/supplier-negotiation/" rel="noopener noreferrer" target="_blank">Supplier Negotiations</a></h4><ul><li>With detailed specifications from drawings, procurement can consolidate spend and negotiate better contracts.</li><li>Drawing data aids in supplier qualification based on production capabilities required.</li><li>Quantities and costs from drawings support fact-based negotiations with suppliers.</li></ul><h4>Increased <a href="https://caddi.com/en-us/resources/insights/design-standardization/" rel="noopener noreferrer" target="_blank">Design Standardization</a></h4><ul><li>Drawing analysis uncovers commonalities between product designs that allow part standardization.</li><li>Identifying interchangeable parts through drawings enables procurement savings.</li><li>Design optimizations to maximize standard components can be identified from drawing data.</li><li>Drawings indicate where custom parts could be replaced by standardized options.</li></ul>

To implement an effective drawing data strategy and drive procurement optimization, organizations need strong data governance, change management, and executive sponsorship.&nbsp;<h3>Data Governance</h3>A clearly defined data governance model is essential to get value from engineering drawings. This includes data policies, standards, and accountability for data quality.Procurement teams should partner with engineering and IT to:<ul><li>Establish data ownership – Who is accountable for which drawing data attributes?</li><li>Set policies for metadata, file formats, storage, security, and retention</li><li>Define standards for data inputs, taxonomy, and integration</li><li>Monitor data quality via audits and KPIs</li><li>Create feedback loops to continuously improve data practices&nbsp;</li></ul><h3>Change Management</h3>Extracting value from drawings requires changes to existing workflows and mindsets. A change management plan can ease this transition by:<ul><li>Communicating the benefits of data-driven procurement</li><li>Providing training on new drawing practices and systems</li><li>Involving change champions from engineering and procurement</li><li>Celebrating small wins and milestones</li><li>Monitoring adoption and addressing resistance</li></ul><h3>Executive Sponsorship</h3>Executive sponsors give drawing data initiatives necessary priority and resources. Ideally, the CPO and engineering lead jointly sponsor the strategy to signal cross-functional alignment. Executive sponsors should:<ul><li>Allocate budget for technology and talent</li><li>Set expectations for participation</li><li>Review progress at steering committee meetings</li><li>Remove roadblocks</li><li>Link data success to incentives</li></ul>

<a href="https://caddi.com/en-us/platform/caddi-explorer/" rel="noopener noreferrer" target="_blank">Explorer</a> empowers procurement teams to optimize their processes by unlocking the untapped potential of engineering drawing data. The platform automatically extracts all relevant information from drawings, including dimensions, text, and shapes, making even handwritten drawings from decades ago searchable and comparable.<img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2Fb4591dc7e0e74700b4f8aae7de17a45e?alt=media&amp;token=9a621c09-dc93-49bc-8cdf-507c3a7afcb6&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="Diagram showing scattered data sources such as CAD, PLM, ERP, spec sheets, cost analysis, and VAVE ideas flowing into Explorer for integration and analysis, producing outcomes including knowledge transfer, shorter quotation lead time, fewer product defects, and more efficient process design">By connecting this extracted data with quotation and supply-chain information from CSV files and ERP systems, Explorer creates a comprehensive, structured dataset that procurement professionals can leverage for strategic decision-making. The platform’s powerful keyword and similarity search capabilities enable users to quickly identify similar parts across their entire historical drawing archive, revealing opportunities for supplier consolidation, <a href="https://caddi.com/en-us/resources/insights/supplier-consolidation/" rel="noopener noreferrer" target="_blank">price negotiation</a>, <a href="https://caddi.com/en-us/resources/insights/vave-value-analysis-value-engineering/" rel="noopener noreferrer" target="_blank">value analysis and engineering (VAVE)</a> initiatives, and <a href="https://caddi.com/en-us/resources/insights/strategic-sourcing/" rel="noopener noreferrer" target="_blank">strategic sourcing</a>.With Explorer, procurement teams can identify the best suppliers based on historical pricing and drawing data, consolidate orders to increase volume and reduce costs, and pinpoint reference prices that assist <a href="https://caddi.com/en-us/resources/insights/request-for-quotation/" rel="noopener noreferrer" target="_blank">RFQ processes</a>. By integrating disconnected drawing data and enabling advanced analytics, Explorer provides the actionable insights procurement leaders need to optimize their operations, reduce maverick buying, and improve their bottom line.

How to Optimize Procurement with Engineering Drawing Data

Dark blue cover graphic for Design Standardization, Engineering 101, with a glowing circled checkmark made of dots over a digital grid

Design standardization refers to establishing consistent specifications, procedures, dimensions, materials, and processes that will be used for manufacturing a company’s products. This is an important practice for manufacturing companies for several reasons:<ul><li>Improving quality control by reducing errors and defects. When all designs follow the same set of standards, there is less room for mistakes or inconsistencies during production.</li><li>Increasing manufacturing efficiency and productivity. Standardized designs allow manufacturing equipment, tools, and processes to be optimized. Workers also gain familiarity with common standards, working faster and with fewer errors.</li><li>Simplifying logistics and inventory management. Fewer variations in parts and materials are needed with standardized designs. This reduces purchasing costs and inventory requirements.</li><li>Enabling ease of maintenance and servicing. Standardized components are interchangeable between products, making repairs and maintenance faster and more cost effective.</li><li>Enhancing customer satisfaction and company reputation. Consistent product quality and reliable performance result from standardized manufacturing, improving customer opinions of the company and its brands.</li></ul>Standardization provides significant benefits for companies involved in manufacturing, assembly, and production across a wide range of industries. Implementing design standardization should be a high priority for any company looking to maximize quality, efficiency, and profitability in its operations.

<ul><li>Consistency and interchangeability – Standardizing components and processes allows parts to be interchangeable across products or manufacturing lines. This simplifies production, maintenance, and repair when the same fasteners, connectors, or processes are used.</li><li>Simplified production – With standardized components, tools, documentation, and training, workers can move between stations and lines more easily. Standard workflows and protocols also simplify setup, operation, and monitoring.</li><li>Cost reduction – By reducing unique parts and materials, companies can benefit from economies of scale in procurement. Bulk purchasing of standardized consumables, materials, and components reduces per unit costs.</li><li>Improved quality – Standardization drives process consistency, which improves quality control. Defects are also reduced. Components produced to tighter specifications have less variability.</li></ul>

When implementing design standardization in manufacturing, there are several key areas to focus on:<h3>Parts/Components</h3><ul><li>Standardize commonly used parts and components as much as possible. This includes fasteners, motors, gears, seals, bearings, and any other parts used repeatedly across products. Develop a library of approved, standardized components.</li><li>Reduce part numbers by consolidating duplicate and similar parts. Standardize dimensions, materials, coatings, etc.&nbsp;</li><li>Limit custom or proprietary parts only to where absolutely required by the design.</li></ul><h3>Drawings/Documentation</h3><ul><li>Standardize formats and templates for drawings, models, specifications, etc. This improves clarity and makes documentation easier to understand.</li><li>Standard symbol libraries, data presentation, drawing structure, title blocks, etc. should be consistent.</li><li>Store documentation in a central location where the latest versions can be accessed.</li></ul><h3>Processes</h3><ul><li>Identify processes that are common across products, such as machining, welding, painting, assembly steps, testing, etc.</li><li>Standardize these processes as much as possible, including equipment, setup, instructions, quality checks, etc.</li><li>Document processes clearly using standard work instructions, SOPs, or visual job aids.</li></ul><h3>Tools and Fixtures</h3><ul><li>Standardize tooling, jigs, fixtures, and workholding devices.</li><li>Develop modular, adjustable designs that can serve multiple products vs. custom one-off tools.</li><li>Create standard tooling databases, management systems, storage locations, etc.</li></ul><h3>Materials and Purchased Items</h3><ul><li>Standardize on approved supplier lists, grades/types of raw materials, and specifications for purchased items.</li><li>Consolidate to the smallest number of options possible while still meeting design requirements.</li><li>Leverage purchasing power through preferred suppliers, blanket orders, or inventory management agreements.</li></ul>

Implementing design standardization in manufacturing companies can be challenging. Here are some of the main difficulties:<ul><li>High initial investment – Creating standards requires upfront effort and cost. Companies need to allocate resources to analyze current designs, determine optimal standards, and document them. This investment may delay revenues.</li><li>Resistance to change – Employees used to custom one-off designs may resist adhering to standards that restrict flexibility. Overcoming cultural inertia requires education on the long-term benefits.</li><li>Difficulty achieving consensus – With diverse product lines and departments, companies can struggle to align on standardized designs. Compromises may be required to get all stakeholders on board.</li></ul>

To successfully implement design standards, companies need to follow a systematic approach:<ul><li>Form a cross-functional team – Include representatives from engineering, manufacturing, quality, procurement, and any other relevant departments. They will provide diverse perspectives and ensure buy-in.</li><li>Analyze current designs – Thoroughly evaluate existing products and components. Identify differences and inconsistencies. Assess costs, performance, manufacturability etc. This analysis will highlight areas to standardize.</li><li>Identify standardization opportunities – Based on the analysis, determine specific parts and processes to standardize. Prioritize high-impact areas that will maximize benefits. Focus first on interchangeable components.</li><li>Create standards documentation – Develop clear guidelines, drawings, specifications, and procedures. Standardize nomenclature, materials, dimensions, finishes, performance criteria etc.</li><li>Get stakeholder buy-in – Review standards with affected groups. Address concerns through education on benefits. Gain approval before moving to implementation.</li><li>Develop implementation plan – Define specific rollout steps. Set schedules, budgets, responsibilities etc. Allow sufficient time for design, documentation, inventory management, and training.</li><li>Provide training – Educate teams on new standards and processes. Ensure they have the knowledge to apply standards consistently. Emphasize importance of adherence.</li></ul>Following this structured approach will lead to successful adoption and sustainment of design standards. The upfront effort pays significant dividends through improved quality, reduced costs, faster production, and more.

Standardization efforts must be thoroughly documented. Key documentation includes:<ul><li>Engineering drawings – Dimensional drawings fully specifying parts, assemblies, and equipment. Standardized templates, fonts, dimensioning styles, and file formats should be used.</li><li>Specifications – Detailed specifications for materials, processes, coatings, performance parameters, and all other requirements. Standard nomenclature and formatting makes specifications consistent.</li><li>Part lists or BOM – Standard part naming conventions and cataloging systems should document all standard, approved parts. Unique part numbers identify each standard component.</li><li>Process documentation – Work instructions, visual worksheets, setup sheets, and control plans codify standardized production and assembly processes. They ensure consistency across shifts and personnel.</li></ul>Documentation removes tribal knowledge and provides clear, standardized references for manufacturing personnel. Keeping documentation updated and linked to physical standards like gauges and fixtures maintains consistency over time.

Implementing design standards requires proper training for all stakeholders. This ensures everyone understands and adopts the new standards.<ul><li>Conduct training sessions to educate engineering, manufacturing, quality, and procurement teams on the new standards. Explain the rationale and benefits.</li><li>Address any resistance to change through open discussions. Emphasize how standardization improves quality, reduces costs, and makes processes more efficient.</li><li>Highlight specific benefits for each stakeholder group. For example, show engineering how design standards simplify and streamline their work. Demonstrate how standards allow manufacturing to be more consistent and optimize operations.</li><li>Use a mix of classroom and hands-on training to reinforce learning. Have engineers walk through creating drawings and designs using the new standards. Give manufacturing teams opportunities to practice setups and processes per the standards.</li><li>Make training mandatory for all relevant employees to ensure complete adoption. Require passing an assessment to verify understanding of the new standards.</li><li>Document the training material and keep records of completed training sessions and assessments. This ensures standardization knowledge is retained within the organization.</li></ul>Proper training and education are critical to drive the cultural and operational changes needed to successfully implement design standards. Focusing on the benefits can help address resistance to change.

Once standards are implemented, it’s crucial to verify that they are being followed correctly. This involves several key steps:<ul><li>Conduct audits of the manufacturing process, equipment setups, quality inspections, etc. to ensure compliance with the standards. Auditors should check that operators are following standardized work instructions and that equipment/tooling meets specifications.</li><li>Analyze data gathered from the audits and daily operations. Track metrics related to quality, cost, cycle times, and more. Identify areas that need improvement based on deviations from the standards.</li><li>Update standards as needed. Standards are living documents, not set in stone. As issues arise or improvements are identified, standards should be updated to reflect best practices. A systematic process for submitting and approving updates is important.</li><li>Provide feedback loops. Share results of audits and data analysis with production teams. Celebrate successes following standards and discuss opportunities when standards are not met. This facilitates continuous improvement.</li><li>Ongoing training. As standards evolve, ensure employees are kept up to date through refresher training on new or modified standards. This helps standards become second nature.</li></ul>By verifying standards are followed and continuously improving them, companies can maximize the benefits of standardization including quality, efficiency, and cost reduction. It takes discipline, but pays major dividends.

Implementing design standards is not a one-time initiative. Companies must establish processes for periodically reviewing standards, making updates and revisions, and continual improvement.<ul><li>Periodic reviews – Standards should be reviewed on a regular basis (e.g. annually) to evaluate their effectiveness and identify areas for improvement. Key metrics to analyze include manufacturing efficiency, quality, cost, lead time, etc.&nbsp;</li><li>Managing updates – When issues are identified or new technologies/processes emerge, standards will need to be updated. Updates should balance enforcing standardization with allowing flexibility. A structured process for submitting, reviewing, and approving updates should be followed.</li><li>Continual improvement – In addition to updates, there should be a philosophy of continual incremental improvement to standards over time. Lean tools like Kaizen can be applied to regularly enhance standards. Employees who work directly with the standards should be engaged in giving feedback for improvement.</li></ul>By treating standards as dynamic rather than static documentation, companies can ensure they are maximizing the benefits of design standardization.

<a href="https://caddi.com/en-us/platform/caddi-explorer/" rel="noopener noreferrer" target="_blank">Explorer</a> is a powerful tool that can significantly streamline and enhance design standardization efforts in manufacturing companies. Key features and benefits include:<ul><li>Powerful Search and Retrieval – Explorer’s search capabilities make it fast and easy to find relevant standardized designs. Users can smoothly identify similar drawings to your target design of standardization and search by keyword, attribute, part number, and more. This saves significant time versus manual searching and ensures the right standard is always used.</li></ul><img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2F6844caa6ab114edc893bb6fea7a27ec4?alt=media&amp;token=85fd75b5-9239-4b11-b1ef-660814659b93&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="CADDi Drawer interface with a keyword search for &quot;bearing&quot;: a selected bearing engineering drawing on the left shows Basic info fields (drawing ID, serial number, drawing number, surface treatment, material, customer), and a grid of similar bearing drawings on the right lists material, customer, part name, purchase orders, quantity, and price."><ul><li>Customizable Attributes and Meta-Data – Standard parts and designs can be tagged with extensive meta-data and custom attributes in Explorer. This allows for sophisticated categorization and filtering of standardized content. Attributes can identify preferred parts, flag obsolete designs, and link to supporting documentation and specs.</li></ul><img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2F9ca066ede8044439912e8c1ecf4df2de?alt=media&amp;token=e01a3e19-de4b-46e5-81e9-03f6126d1cfa&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="Screenshot of CADDi Drawer showing a keyword search for &#x27;bearing&#x27; with a matching technical drawing of a flanged part open in the viewer, thumbnails of similar drawings on the left, and a side panel listing drawing number, material, part name Bearing, customer and purchase order details.">

Engineering 101: Design Standardization – How to Implement It

Demand planning is the strategic process that underpins supply chain management, ensuring that manufacturing aligns seamlessly with market demand. It’s a multifaceted discipline that encompasses sales forecasting, inventory management, and comprehensive supply chain oversight. Effective demand planning facilitates accurate revenue forecasts, optimizes inventory levels to match demand fluctuations, and enhances overall profitability for specific channels or products.The essence of demand planning lies in its processes, which are critical for forecasting demand accurately.These include trade promotion management (TPM), which involves marketing tactics like discounts and in-store promotions to generate demand. By collaborating at detailed and aggregated levels, companies can swiftly adjust their products, campaigns, and promotions, ensuring they remain aligned with distributor and customer signals across all timeframes.Another crucial aspect is sales and operations planning (S&amp;OP). This cross-functional process brings together all relevant departments, including sales, marketing, production, and finance, to ensure that the demand forecast aligns with production capacity and financial objectives. S&amp;OP meetings facilitate consensus on a single demand plan, which serves as the foundation for operational planning and resource allocation, helping to balance supply and demand effectively.Collaborative planning, forecasting, and replenishment (CPFR) further enhances demand planning by fostering collaboration between suppliers, manufacturers, and retailers. By sharing information and forecasts, all parties can work together to improve the accuracy of demand predictions, optimize inventory levels, and reduce costs. This collaborative approach not only strengthens supply chain partnerships but also ensures that the end-to-end supply chain is more responsive to consumer needs.Technology plays a pivotal role in streamlining demand planning processes. Advanced planning and scheduling (APS) systems integrate data from various sources, providing a comprehensive view of demand, inventory, production capacity, and supply chain constraints. These systems use sophisticated algorithms to generate optimal production plans that meet demand while minimizing costs and maximizing resource utilization.

Diving deeper into the world of demand planning, we encounter various models that businesses employ to forecast future demand accurately.Econometric models, for instance, consider both dependent and independent variables, analyzing the intricate web of cause and effect that influences demand. A famous case is that of a multinational technology company which, by employing econometric models, was able to anticipate market shifts with a remarkable 85% accuracy rate, significantly improving its supply chain efficiency.Trend projection models, another pillar of demand planning, rely on historical data to forecast future demand. By identifying patterns and controlling for anomalies, companies can prepare for predictable fluctuations in demand. A retail giant exemplified the power of trend projection by adjusting its inventory levels ahead of peak shopping seasons, resulting in a 20% improvement in customer satisfaction due to reduced stockouts.Barometric models, which take into account economic indicators like inflation rates and consumer spending trends, have proven essential for industries sensitive to economic cycles. A leading automobile manufacturer used these models to adjust production in anticipation of an economic downturn, effectively avoiding overproduction and aligning inventory with reduced consumer spending, thus maintaining profitability during challenging times.If you are in charge of procurement for a manufacturer of industrial machines or plant equipment, that is, products that are high-mix low-volume (HMLV), you might think that the above models are difficult to directly apply because they are designed for mass production. That is indeed the case.Of course, don’t forget to utilize the essence of the above models, but in addition, approaches like the following can be applicable.For HMLV manufacturers, building strong relationships with key customers and engaging in collaborative forecasting can significantly enhance demand planning accuracy. This practice involves sharing data and insights between the manufacturer and its customers to jointly develop more accurate forecasts. Given the customized nature of many HMLV products, understanding customer plans and expectations can lead to better-aligned production schedules and improved customer satisfaction.

Lean demand planning emphasizes efficiency and waste reduction throughout the supply chain. By identifying and eliminating non-value-added steps, companies can significantly enhance their operational efficiency. For example, a consumer electronics company implemented lean principles in its demand planning process, automating data entry and report generation.In the manufacturing industry, lean demand planning goes beyond just automating processes and adopting a pull-based approach; it incorporates a set of specific methods and practices designed to streamline operations, minimize waste, and closely align production with customer demand. These practices include:Value Stream Mapping (VSM): This tool involves mapping out all the steps involved in the demand planning process, from raw material procurement to product delivery to the customer. By visualizing the entire process, companies can easily identify and eliminate steps that do not add value, thereby streamlining operations and focusing resources on activities that directly contribute to meeting customer demand.Continuous Improvement (Kaizen): Lean demand planning is not a one-time initiative but an ongoing effort to improve efficiency and effectiveness. Kaizen, or continuous improvement, is a core principle of lean philosophy, encouraging companies to constantly seek ways to refine their demand planning processes. This could involve regular reviews of forecasting accuracy, inventory levels, and production schedules to identify areas for improvement.Demand Segmentation: By segmenting demand based on characteristics such as product type, customer group, or sales channel, manufacturers can apply different forecasting and replenishment strategies tailored to each segment’s specific needs. This targeted approach allows for more accurate demand planning and can help to reduce inventory levels and increase service levels.Synchronization of Supply Chain Activities: Lean demand planning requires tight coordination between all parts of the supply chain, from suppliers to manufacturers to distributors. By synchronizing activities such as material procurement, production scheduling, and product delivery, companies can ensure that each component of the supply chain is operating in harmony, reducing lead times and improving responsiveness to changes in demand.Advanced Forecasting Techniques: Incorporating advanced forecasting techniques such as predictive analytics and machine learning can significantly improve the accuracy of demand forecasts. These technologies can analyze large volumes of data to identify patterns and predict future demand trends, allowing manufacturers to adjust their production plans proactively.Pull-based Replenishment Systems: Implementing pull-based systems such as Kanban can help to align production more closely with actual demand. In a Kanban system, production is triggered by consumption, ensuring that inventory levels are kept to a minimum and that products are produced only when there is a real need.

In procurement and supply chain management, the following are key activities where the output from demand planning should be utilized:<h3>Supplier Collaboration</h3>Close collaboration with suppliers is essential to align procurement strategies with forecasted demand. Sharing demand forecasts with suppliers can help them prepare and ensure they have the capacity to meet your needs, leading to stronger relationships and more reliable supply chains. This can involve collaborative planning, forecasting, and replenishment (CPFR) initiatives, which enhance visibility and coordination between partners.<h3>Inventory Optimization</h3>Effective demand planning enables manufacturers to optimize their inventory levels, striking a balance between having enough stock to meet demand without holding excessive inventory that ties up capital. Techniques such as just-in-time (JIT) inventory management can be employed to reduce waste and improve cash flow. This approach relies on the timely procurement of materials in response to demand forecasts, minimizing stock levels while ensuring production continuity.<h3>Flexible Supply Chain</h3>Flexibility in the supply chain is crucial to respond to fluctuations in demand. By understanding demand patterns, manufacturers can develop contingency plans, such as identifying alternative suppliers or diversifying procurement sources. This agility allows companies to adapt to unexpected changes in demand or supply disruptions quickly.

Executing demand planning in the manufacturing industries involves navigating a complex landscape of challenges that can significantly impact the efficiency and effectiveness of supply chain operations.One of the primary challenges is the accuracy of demand forecasts. Forecasting errors can lead to either overproduction, resulting in excess inventory costs, or underproduction, leading to stockouts and lost sales. The variability and unpredictability of market demand, influenced by factors such as economic shifts, consumer preferences, and geopolitical events, make accurate forecasting exceedingly difficult.Another major challenge is the integration of demand planning with other business processes. Many manufacturing companies struggle with siloed departments where information and data are not shared effectively across the organization. This lack of integration can hinder the alignment of demand planning with production scheduling, procurement, and inventory management, leading to inefficiencies and increased operational costs.Data quality and management also pose significant challenges. Demand planning requires high-quality, timely, and relevant data to be effective. However, collecting, processing, and analyzing large volumes of data from various sources can be daunting. Data inconsistencies, inaccuracies, and the absence of a unified data management strategy can compromise the integrity of demand forecasts.

<a href="https://caddi.com/en-us/platform/caddi-explorer/" rel="noopener noreferrer" target="_blank">Explorer</a> not only facilitates more accurate demand forecasting but also provides the means to execute on these forecasts with precision. Its integrated platform allows for seamless communication between procurement, production, and sales departments, ensuring that each segment of the supply chain is aligned with the overall demand planning strategy.<h3>Streamline activities in the planning process</h3>The following features enable you to streamline the time-consuming tasks of data collection and organization in procurement operations.<ul><li>Price data, quantity data, customer information and supplier information can be automatically linked to each drawing and can also be exported together.</li><li>By using keyword searches combined with similarity searches, the time spent searching for drawings and data in planning tasks can be reduced.</li></ul><img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2F874ec4c18e844f0c90769b732d6f357d?alt=media&amp;token=0ba34c3b-929a-494f-b136-32d73f24d27b&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="CADDi Drawer screenshot of a technical drawing open in the viewer, with a side panel listing basic info such as drawing number, material, and surface treatment, plus purchase order fields like sales price, quantity, and processing cost"><h3>Linking demand forecasting and procurement activities</h3>By using Explorer to link various demand-side data, such as drawings and purchase data, as the basis for forecasts, it is possible to reverse-engineer from the created demand forecasts to predict necessary procurement volumes and facilitate supplier selection.

Procurement 101: Demand Planning – Maximize impacts through integration with the supply side

Calculator displaying the word OPTIMIZE on a spreadsheet, on a title card reading Drawing Data to Optimize Your Cost

Cost modeling is the process of estimating and predicting the total costs associated with designing, developing, and manufacturing a product. It is a crucial step in product development and engineering, allowing companies to evaluate the financial viability of a potential new product before investing significant resources into bringing it to market.In manufacturing and engineering, accurate cost modeling provides many benefits. It helps companies determine if a proposed product will be profitable to produce based on projected revenues and expenses. Cost modeling enables comparison of design alternatives, materials, and manufacturing methods to find the most cost-effective option. It also aids in setting the appropriate pricing for a product and identifying opportunities to reduce costs through design changes or process improvements.Overall, cost modeling provides vital information for making informed business decisions about product development, budgeting, and resource allocation. As products become more complex, with thousands of parts and long global supply chains, detailed and reliable cost modeling is increasingly critical for companies to remain competitive.Now let’s examine how drawing data can be utilized for effective cost modeling in product development.

Engineering drawings contain a wealth of data that is extremely valuable for developing accurate cost estimates and models. The drawings specify all the key physical details and parameters of the product or system being modeled, including:<ul><li>Dimensions – The drawings provide detailed measurements of all components, assemblies, and systems. This allows accurate material quantities to be calculated.</li><li>Materials – The materials for each part are defined on the drawings. This provides the essential input for determining material costs.</li><li>Finishes – <a href="https://caddi.com/en-us/resources/insights/metal-finishing/" rel="noopener noreferrer" target="_blank">Surface finishes</a> such as coatings and polishing, are specified on drawings. This impacts processing and labor costs.</li><li>Tolerances – The dimensional tolerances and geometric tolerances provide manufacturing requirements. Tighter tolerances require more operations and expense.</li><li>Assembly relationships – The drawings illustrate how components fit and operate together. This reveals complexity and assembly costs.</li></ul>Since the drawings contain comprehensive details for manufacturing the product, they serve as the central source of truth for generating cost estimates. Rather than relying on assumptions or generic data, cost models can be built around the unique specifications contained in the engineering drawings. This allows very accurate and tailored estimates to be developed.By leveraging the detailed data in the drawings, estimators can account for the precise materials, features, operations and processes needed to produce the product. This minimizes guesswork and provides greater confidence in cost projections. Overall, treating drawings as a vital information source enables superior cost modeling and estimating.

Extracting data from drawings for cost modeling presents several key challenges:<ul><li>Difficulty extracting data automatically: Unlike 3D models, 2D drawings are raster images that make automated data extraction difficult. There is no underlying parametric data to pull from. Complex image recognition and processing is required.</li><li>Variability in drawing styles/standards: Drawings can vary greatly in visual style, layout, notation, dimensions etc. This makes it hard to apply automated techniques reliably across different drawing sets. There is no universal standard that all drawings conform to.</li><li>Keeping drawings and models in sync: Even when data can be extracted from drawings, keeping it synced with 3D models is an ongoing challenge. Drawings and models diverge as they are edited, requiring constant cross-checking and updates to ensure consistency.</li></ul>Overcoming these limitations requires advanced computer vision techniques, standardized drawing frameworks, and tight version control between 2D and 3D data sets. Cost estimators must carefully evaluate and clean drawing data before usage in models.

Standardizing drawing practices company-wide is critical for creating accurate cost models. All teams should follow consistent conventions for dimensions, notes, layers, and other drawing elements. This makes data extraction and cost estimation more seamless.Cross-functional collaboration is also key. Engineers, designers, estimators, and project managers should align on modeling needs and drawing standards. With input from multiple disciplines, drawings can capture the right details for costing. Teams should review drawings together before major project milestones.Automating data extraction from drawings is essential for efficient modeling. Manual data entry is time-consuming and error-prone. New technologies like AI and machine learning can automatically pull dimensions, materials, and other attributes from drawings. This speeds up model creation while minimizing mistakes. As automation improves, companies should invest in tools to enhance drawing-based cost modeling.

Cost modeling using drawing data has promising developments on the horizon. There are three key areas where we expect to see improvements:<h3>Improving Interoperability Between CAD and Cost Modeling Software</h3>Currently, transferring data between CAD and cost modeling software can be cumbersome. Often it involves exporting drawing data to a neutral format like IFC or CSV, then importing it into the cost modeling software. Better integration between the two types of tools would streamline data transfer and reduce effort. We may see CAD and cost modeling vendors partner to offer tighter connections between their offerings.However, it’s important to note that the drawing data that can be output from 3D CAD has limitations. Tolerances, metal finishes, and various other data necessary for accurate cost modeling are often not included in the 3D models. In many cases, this detailed information still needs to be gleaned from traditional 2D drawings.Until 3D CAD tools evolve to comprehensively capture all the manufacturing specs in the model itself, combining 3D CAD output with data from 2D drawings will remain a practical necessity for precise cost estimation. Improving the link between 3D CAD and 2D drawings within CAD software could help streamline this hybrid data gathering approach in the near term.<h3>AI to Automate Data Extraction from Drawings</h3>Extracting cost-relevant data like areas, counts, and materials from drawings is currently a manual process. Emerging AI techniques like computer vision could automate recognizing building elements in drawings and extracting the key data. This would eliminate tedious manual work and reduce errors.<h3>Real-Time Updating of Cost Models</h3>Today, cost models are static snapshots. When the building design changes, cost models must be manually updated. In the future, dynamic links between CAD and cost tools could allow real-time updating of cost models. As soon as a change is made in the CAD software, the cost model is automatically refreshed. This would enable greater agility and confidence in decision making.

<a href="https://caddi.com/en-us/platform/caddi-explorer/" rel="noopener noreferrer" target="_blank">Explorer</a> offers a powerful solution for companies looking to improve their cost modeling with drawing data. By automating data extraction from drawings and connecting this information with existing supply chain data, Explorer enables a more efficient and accurate approach to cost estimation.One of the key features of Explorer is its ability to automatically scan and extract data from PDF drawings, including dimensions, text, and shapes. This eliminates the time-consuming manual process of gathering data from drawings for cost modeling. Even handwritten drawings can be made searchable and comparable, allowing companies to leverage their entire historical drawing archive.<img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2Ff1174ac33d32475ba5e08794ad65a4d9?alt=media&amp;token=817fbb1a-38db-4ea7-9b26-e21272340e3e&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="Example engineering drawing in CADDi Drawer of a shaft, showing dimensioned side and end views, an M18 threaded hole, chamfer callouts, and a title block with part number, material, and scale">In addition to extracting drawing data, Explorer allows users to easily connect estimation/quotation and other supply chain data to the associated drawings. This can include cost, quantity, supplier information, sales price, cost breakdowns, and more. By uploading CSV files or integrating with ERP, CAM, CAD, and other systems, all relevant information is linked to the drawings, providing a comprehensive view for cost modeling.Explorer’s powerful search capabilities further enhance the cost modeling process. Users can search their entire drawing archive using keywords, including material, size, designer’s name, part name, and notes. The platform’s patented similarity search technology can identify similar drawings based on the shape of each part, even for handwritten drawings from decades ago. This allows cost estimators to quickly find relevant historical data for benchmarking and cost comparison.<img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2F2eb42f67791b44c5b4a2b6b2062c2ee0?alt=media&amp;token=2133ba63-39eb-4642-bf14-5c7dc8d91b24&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="CADDi Drawer screenshot on a laptop showing &#x27;Search by reference image&#x27; with an uploaded technical drawing and a panel of similar drawings, next to the caption &#x27;Instantly find Similar Drawings&#x27;">For even greater convenience, Explorer offers an image search feature that allows users to upload a photo of a sketch or drawing and find the most similar drawings in their archive.When comparing similar drawings or revisions, Explorer makes it easy to identify differences with just one click. This streamlines the process of evaluating design changes and their impact on costs.Finally, Explorer allows users to download all drawing information, along with associated supplier data, prices, tags, and more, to a CSV file with a single click. This facilitates further analysis and integration with cost modeling tools.Furthermore, the article below also explains benchmarking using Explorer as an alternative means of cost analysis, so please be sure to refer to it.<a href="https://caddi.com/en-us/resources/insights/should-cost-analysis-20240307/" rel="noopener noreferrer" target="_blank">Should-Cost Analysis: Insights from Industry Experts</a>

How to Leverage Drawing Data to Optimize Your Cost Models

Category management involves developing procurement strategies for each of these categories, contrasting with item-by-item management where a vendor is sought for each product to negotiate the lowest prices. This item-by-item approach is inefficient when dealing with a wide range of products because it can lead to increased costs for other items, negating any savings achieved.The process of obtaining quotes and negotiating prices for each item individually is time-consuming and labor-intensive, and it can be even more complicated when each department conducts its own procurement. This often results in one department purchasing similar goods at a higher price than another, which is not cost-effective on a company-wide scale.Category management addresses these issues by consolidating the procurement process. For example, in the case of fabricated metal parts, it involves understanding the total expenditure and items purchased across buyers, departments, countries, items, and suppliers, and then negotiating prices and quotes on this aggregated basis.This approach may lead to price increases for some items and decreases for others, but the focus is on reducing costs across the entire category of office supplies. By identifying suppliers who can offer competitive prices for the entire category, not just individual items, companies can leverage stronger buying power and reduce the number of suppliers, leading to preferred supplier agreements.This method allows for a more strategic procurement process that not only simplifies supplier management but also ensures that the company secures the best possible deals, optimizing overall costs rather than focusing on the cost of individual items.

The implementation of category management involves several key strategies such as supplier segmentation and demand management.<h3>Supplier segmentation</h3>It categorizes suppliers based on their strategic importance and potential value to the organization. This enables targeted supplier management plans and resource allocation, significantly improving the efficiency and effectiveness of procurement activities. <a href="https://www.mckinsey.com/" rel="noopener noreferrer" target="_blank">A study by McKinsey</a> highlighted that companies with better supplier segmentation could raise profit margins on addressable categories by 10 to 20%​​.The Kraljic Matrix offers a strategic framework for the supplier segmentation. It aids organizations in classifying their procurement items based on two key dimensions: the complexity of the market and the importance of each item to the business. This classification results in a four-quadrant matrix that segments items into non-critical, leverage, bottleneck, and strategic categories.‍<img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2F20ca6d32422649e0b6402739d5c67261?alt=media&amp;token=0c038f3b-c966-4087-ae53-bc0eb638eff7&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="Kraljic Matrix: four quadrants on axes of profit impact (vertical) and market complexity (horizontal): Leverage Items, Strategic Items, Non-critical Items, Bottleneck Items">Each of these quadrants dictates a specific procurement strategy:<ul><li>Non-critical items, which are low in complexity and importance, call for efficient processing and standardization.</li><li>Leverage items are significant to the business but face lower market complexity, suggesting bulk buying or volume discounts as viable strategies.</li><li>Bottleneck items present high complexity with lower business importance, necessitating diversification of supply sources to mitigate risk.</li><li>Strategic items are both highly important and market-complex, requiring strong supplier relationships and thorough market analysis for risk management and securing supply.</li></ul>The matrix typically advocates for each segment as below:Non-critical Items: The focus here is on efficiency and minimizing the administrative burden. Strategies like e-auctioning and the use of catalogs can help streamline the procurement process, making it easier to manage these items without consuming significant resources.Leverage Items: Buyers have significant power and can use it to negotiate better terms or foster innovation from suppliers. The abundance of interchangeable suppliers in this market means buyers can push for lower prices, though they must be wary of pushing too hard and jeopardizing supplier viability.Bottleneck Items: The strategy focuses on damage limitation, recognizing the limited opportunities for favorable deals. Creative procurement strategies may include redefining product requirements to substitute materials from more accessible sources, thereby mitigating the risk.Strategic Items: Effective management involves a broad skill set and significant executive involvement to nurture a collaborative, mutually beneficial relationship. This partnership is crucial for ensuring supply chain reliability and fostering innovation.<h3>Demand management</h3>It focuses on understanding and forecasting future requirements, optimizing inventory levels, and aligning procurement with consumer demand by implementing the following techniques:Analyzing Historical Data: This foundational approach leverages past sales, trends, and customer behaviors to predict future demand. It empowers procurement teams to refine inventory strategies, fulfilling customer needs while optimizing stock levels.Market Analysis: By scrutinizing current market trends, customer preferences, and the competitive environment, organizations gain qualitative insights that complement data-driven forecasts. This method adjusts predictions based on evolving market conditions and consumer shifts, enriching the forecasting accuracy.Statistical Forecasting: Utilizing mathematical models, statistical forecasting analyzes historical sales data to identify patterns. This technique incorporates seasonal changes and economic factors, offering a sophisticated tool for projecting future demand.Collaborative Stakeholder Engagement: Integral to demand management, this strategy involves key internal stakeholders—like sales, marketing, and operations—in forecasting discussions. The collaboration results in a unified demand management plan that encapsulates diverse departmental insights, ensuring comprehensive and accurate demand forecasts.Sales and Operations Planning (S&amp;OP): S&amp;OP facilitates regular collaboration between various departments to align demand forecasts with operational strategies. This process ensures that production and procurement plans are in sync with market demand, enhancing organizational efficiency.Continuous Review and Adjustment: Demand planning is an ongoing process that requires regular updates to forecasts as new information emerges and market conditions change. This agility allows organizations to maintain relevant and precise demand plans, swiftly adapting to market fluctuations or supply chain disruptions.By implementing these demand management techniques, you can minimize wasteful spending and reduce stockouts, ensuring that manufacturing operations are both efficient and responsive to market needs​​.

Strategic sourcing is not a concept that stands in direct comparison with category management; rather, it encompasses category management as part of its broader strategy.It helps identify the most suitable suppliers, negotiate favorable contracts, and establish robust supplier performance metrics. This approach not only ensures that manufacturing operations are supported by reliable and cost-effective supply chains but also drives continuous improvement in supplier relationships and procurement processes​​.This means that category management is a vital tool to make the strategic sourcing initiatives work effectively.

Implementing and executing category management successfully can be challenging, with various obstacles and bottlenecks that organizations need to navigate. One of the primary difficulties lies in the creation and execution of category strategies, which involve comprehensive data collection, analysis, planning, and the implementation of actions. However, this process is often more complex than anticipated​​.A significant hurdle is the lack of in-depth insights into spend and supplier data, exacerbated by operating environments characterized by multiple ERPs and other solutions, leading to dispersed and non-harmonized spend data. This situation requires considerable time and manual effort to establish a baseline for spend and supplier information for a given category​​.Moreover, a talent gap and rising expectations for category managers present another challenge. Many organizations lack the necessary capabilities or tools to uncover valuable category insights. Category managers often depend on a limited set of strategies focused on basic contract terms and price-increase avoidance, which can limit the achievement of broader outcomes​​.The complexity of managing these strategies increases as organizations aim to move beyond siloed optimizations to achieve company-wide excellence. The role of category managers needs to be reimagined, requiring a more analytical and commercially savvy approach, centered around customer needs and the willingness to pay. This shift necessitates a deep understanding of product offerings, pricing, channels, and cost drivers, with a focus on developing a growth-centered product portfolio while expanding margins​​.Addressing these challenges involves significant change management, requiring organizations to introduce and implement a uniform process and a common set of tools for category management systematically. This not only involves the category teams but also requires a shift in mindset across stakeholders​​.

It has become essential to have solutions that can aggregate and link data from multiple sources, such as ERPs, for processing and analysis to tackle these challenges within limited time and resources. Additionally, solutions that can instantly categorize drawings and design information according to the required perspectives are crucial.<a href="https://caddi.com/en-us/platform/caddi-explorer/" rel="noopener noreferrer" target="_blank">Explorer</a> is one such solution. Using Explorer, the following analyses and data management tasks can be easily performed:<h3>Similarity search of part drawings</h3>The similarity search feature enables categorization not only by basic drawing information such as material but also by part shape. This is something that cannot be easily achieved with standard drawing management systems or PDM/PLM software.<img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2Facc821dd4ba3495e9c061d6ec26e7322?alt=media&amp;token=9ef5d955-b6f5-4b50-8d72-b58b0b6d2093&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="CADDi Drawer screenshot comparing two sheet metal part drawings side by side, each with basic info fields such as drawing ID, drawing number, surface treatment, material SS304, and customer, plus a purchase orders section"><h3>Streamline activities in the procurement process</h3>The following features enable you to streamline the time-consuming tasks of data collection and organization in procurement operations.<ul><li>Price data and supplier information can be automatically linked to each drawing and can also be exported together.</li><li>By using keyword searches combined with similarity searches, the time spent searching for drawings and data in procurement tasks can be reduced.</li></ul><img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2F336adc093987435891b1b5a1ab0548b3?alt=media&amp;token=068cda3b-6f89-4334-af66-1ea9655d47fa&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="CADDi Drawer screenshot: a 2D sheet-metal part drawing displayed beside a side panel of basic info and purchase order data, including drawing number, material, surface treatment, customer, sales price, quantity, and cost breakdown.">Manufacturers of industrial machinery and equipment, such as Kawasaki Railcar Manufacturing, are actually utilizing these features of Explorer to successfully implement and elevate category management.<a href="https://caddi.com/en-us/drawer/case-studies/kawasaki-railcar-manufacturing/" rel="noopener noreferrer" target="_blank">Kawasaki Railcar Manufacturing: Unlocking the Potential of Hidden Drawings and Purchasing Data: Achieving Unexpected Cost Reductions</a>

Procurement 101: Category Management – From siloed optimization to company-wide excellence

The history of procure-to-pay has evolved alongside advancements in business practices and technology. Initially, the P2P process was entirely manual, involving paper-based orders and invoices, which was time-consuming and prone to errors. As businesses sought more efficiency and control over their spending, electronic systems began to be developed in the late 20th century, introducing automation into various stages of the P2P process.The advent of the internet and cloud computing further transformed P2P, enabling real-time collaboration between buyers and suppliers, centralized data management, and more sophisticated automation through <a href="https://caddi.com/en-us/resources/insights/e-procurement/" rel="noopener noreferrer" target="_blank">e-procurement</a> and ERP systems. Today, procure-to-pay solutions leverage advanced technologies such as AI and machine learning for predictive analytics, automated decision-making, and enhanced visibility across the entire procurement process.This process includes several steps such as requisitioning, purchasing, receiving, invoice reconciliation, and payment. It involves multiple departments within an organization, including procurement, finance, and accounting, aiming to streamline purchasing processes, reduce costs, and ensure compliance with company policies.

The Procure-to-Pay (P2P) process is a crucial component of an organization’s procurement function, covering the full cycle from identifying procurement needs to paying suppliers. It encompasses several key steps, each critical for ensuring efficient, effective procurement and financial processes within a company. Here’s a more detailed look at these steps and what makes each important:<h3>Identify Needs</h3>The first step involves identifying the need for goods or services within the organization. It’s important because it sets the foundation for the procurement process, ensuring that purchases align with business objectives and requirements.<h3>Supplier Selection</h3>This step involves researching and selecting the right suppliers based on criteria such as price, quality, reliability, and service. The importance of this step lies in establishing relationships with suppliers who can provide the best value and service to meet the organization’s needs.<h3>Purchase Requisition</h3>Employees submit a purchase requisition for the goods or services needed. This internal document is crucial for obtaining approval from the necessary managers or departments before making a purchase, ensuring that the procurement aligns with budget and policy.<h3>Purchase Order Creation</h3>Once a purchase requisition is approved, a purchase order (PO) is issued to the supplier. The PO is a legal offer to buy products or services. This step is important because it formalizes the buying intention and specifies the terms and conditions of the purchase.<h3>Order Receipt and Inspection</h3>When the goods or services are delivered, they must be received, inspected, and matched against the PO and the delivery documentation. This step is critical for ensuring that what was ordered has been delivered correctly and meets the specified quality standards.<h3>Three-Way Matching</h3>This involves matching the invoice received from the supplier against the PO and the delivery receipt. It’s a crucial step for verifying that the invoiced charges are accurate and correspond to what was ordered and received, helping to prevent overpayments or fraudulent charges.<h3>Invoice Approval and Payment</h3>Once the invoice is verified, it goes through an approval process before payment is made to the supplier. Timely payment is important for maintaining good supplier relationships and can also enable discounts for early payment in some cases.<h3>Record Keeping</h3>Finally, detailed records of the purchase, including the requisition, PO, delivery documentation, invoice, and payment details, are maintained. This step is crucial for audit purposes, budgeting, and financial planning.

Adopting best practices in the P2P process can significantly enhance efficiency and effectiveness. Implementing procure-to-pay software is at the forefront of these practices, offering automation that streamlines the entire procurement cycle. A Gartner report highlights that organizations adopting cloud-based P2P suites can see a reduction in procurement cycle times by up to 50%.Strengthening supplier relationships is another critical practice. A smooth and transparent P2P process not only improves operational efficiency but also fosters strong, mutually beneficial relationships with suppliers. This was evident in a case where a multinational corporation streamlined its P2P process, leading to a 40% improvement in supplier delivery times and a significant increase in supplier satisfaction scores.Reducing costs and improving visibility into purchasing are also paramount. Automating the P2P process minimizes manual errors and operational costs, while providing real-time insights into procurement data. An industry survey revealed that companies that fully automate their P2P processes can achieve up to a 60% reduction in processing costs.

The role of technology in revolutionizing the P2P process cannot be overstated. eProcurement systems facilitate seamless creation, approval, and management of purchase requisitions, significantly reducing cycle times. For instance, a global retail chain implemented an eProcurement system, leading to an 80% decrease in the time taken to process requisitions.Automation plays a key role in enhancing efficiency across the P2P cycle. From automated purchase orders to invoice processing, technology eliminates manual bottlenecks, ensuring a smooth flow of operations. A healthcare provider reported a 70% decrease in invoice processing time after adopting an automated P2P system.Lastly, data analytics empowers organizations to make informed decisions, optimize procurement strategies, and forecast demand more accurately. A study found that companies utilizing analytics in their P2P process improved their spend under management by 25% and realized a 15% improvement in cost savings.

The P2P landscape is continually evolving, driven by technological advancements and shifting market dynamics. A notable trend is the rapid adoption of cloud-based P2P suites. A recent Gartner report predicts that over 50% of organizations will have implemented cloud-based P2P solutions by 2025. These systems offer greater flexibility, scalability, and efficiency, enabling companies to adapt quickly to market changes.Another emerging trend is the increasing importance of environmental, social, and governance (ESG) standards in the procurement process. Companies are now evaluating suppliers not just on cost and quality, but also on their adherence to ESG criteria. This shift reflects a broader commitment to sustainable and ethical business practices.

As the P2P Process stands on the brink of further evolution, <a href="https://caddi.com/en-us/platform/caddi-explorer/" rel="noopener noreferrer" target="_blank">Explorer</a> is poised to play a pivotal role in embracing this evolution. Unlike traditional System of Record (SoR) tools that primarily focus on managing and storing structured data, Explorer operates as a System of Insight (SoI).<img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2F8ab1199c7c1e470b9f3cc91a4cea263c?alt=media&amp;token=e3f0512a-3e66-402b-a3d4-78904c190d52&amp;apiKey=209ee507cedf4c298e100edae4bba2df">It has the unique capability to automatically convert unstructured data on drawings into structured data, making it accessible and analyzable alongside traditional structured data sources. This capability allows Explorer to offer comprehensive insights that were previously unattainable.<img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2Fb9234b8d725141188bb8493fed9243d9?alt=media&amp;token=34c2e53d-a6d4-47fd-8493-75a9a5f8e231&amp;apiKey=209ee507cedf4c298e100edae4bba2df">By turning drawings and other unstructured data into structured formats, Explorer enables procurement teams to perform deep analytics on a wider array of data points and significantly streamline procurement activities such as supplier selection. This capability opens up a multitude of opportunities for insights, from identifying non-obvious cost drivers in the supply chain to uncovering efficiencies in product specifications or procurement processes.

Procurement 101: Procure-to-Pay (P2P) – Entering a new era

The biggest concern for most manufacturers isn’t costs, competition, or technological shortcomings, it’s staffing. When we asked our respondents what their biggest challenge heading into 2026 was, 79% said the skilled labor shortage.‍It makes sense. Even if you seize an excellent market gap, outcompete your competition with quality and speed, or make an innovative technological leap, all of it falls apart if you don’t have the people to execute on it. And this is a problem more and more American manufacturers will face, as many skilled workers retire and fewer new people enter the manufacturing sector.‍Unfortunately, there is no secret talent pool that you’ll be able to discover. Instead, you should look to do more with fewer people. Investing in technology that can help onboard people and bring them up to productivity faster is essential to make up the gap. These “digital mentors” can transfer the knowledge and expertise of your oldest employees to new ones, helping you mitigate productivity losses and seize new opportunities.<img src="https://cdn.builder.io/api/v1/image/assets%2F209ee507cedf4c298e100edae4bba2df%2F04a71b840a0d4080a253f63ae46a3bf1?format=webp" alt="Infographic titled The Climate: Adjusting to Tariff Instability, arguing agility beats prediction because complex, inconsistent tariffs make cost prediction impossible; a world map shows a jagged red volatility line with warning markers at major trade hubs.">

We’re over a year into the new era of American tariffs, and many manufacturers are still facing challenges getting adjusted. Nearly half of our respondents say that complex, inconsistent, and rapidly changing tariffs make it hard for them to plan for the future.‍This uncertainty can be a big shock to manufacturers who are used to calculating and projecting costs and revenue a year or more out. No matter how hard you try, you can’t find some magical formula that will insulate you from sudden cost fluctuations while still maintaining profits.‍Instead, what you should aim for is the flexibility and agility to respond immediately to new developments and opportunities. If one supplier becomes prohibitively expensive, have the capability and knowledge to switch to the best alternative. At the same time, maintain an awareness of your supply chain necessary to <a href="https://us.caddi.com/resources/insights/avoid-costly-tariff-errors" rel="noopener noreferrer" target="_blank">avoid costly noncompliance fees</a>.&nbsp;<img src="https://cdn.builder.io/api/v1/image/assets%2F209ee507cedf4c298e100edae4bba2df%2Fc963da15c01b4f13b6e6ec144e31a7a4?format=webp" alt="Survey stat graphic, &#x27;The Reaction: The Robotics Era is Here&#x27;: 69% of respondents plan to invest in physical assets and automation, illustrated by a chrome industrial robot arm with blue wireframe overlays.">

Perhaps it’s no surprise that manufacturers facing the pain of a lack of workers are considering another path: robotics. We found that 69% plan to invest in physical assets, like advanced machinery or robotics in 2026, a sizable increase from previous years.‍It’s a sensible move, but without the correct setup, these investments can lead to overcommitment to one production strategy, which can become less valuable as market forces change. This new generation of machines also demands a strong digital foundation to have maximum efficiency: if the “digital backend” isn’t consistent, comprehensive, and organized, you still need a lot of manual intervention, offsetting the productivity gains.<img src="https://cdn.builder.io/api/v1/image/assets%2F209ee507cedf4c298e100edae4bba2df%2F1b5d14f1f29547d6a9bea8020880033d?format=webp" alt="Graphic of a robotic arm dissolving into digital pixels beside the text: The Oversight: Good Enough Systems Aren&#x27;t Enough. Investment in operational software (PLM, ERP) is dropping while hardware spend rises. Smart machines require smart software. A disorganized digital backend requires manual intervention that offsets the ROI of robotics.">

Alongside this growth in physical investments, we saw a drop off in investments in operational systems – PLMs, ERPs, and other software to help organize and process backend data. We think this reflects an attitude that many shops feel their software setup is “good enough”. But as we said before – if you invest in smarter machines, you need the software to advance and keep up.‍As exciting as advances in robotics are, there’s even more innovation happening on the software side. Manufacturing software is empowering shops to automate a whole new category of tasks, increasing productivity, consistency, and agility. By making investments in the next generation of software – often at a fraction of the cost of a production line upgrade – you can gain a competitive edge against those who are investing elsewhere.<img src="https://cdn.builder.io/api/v1/image/assets%2F209ee507cedf4c298e100edae4bba2df%2F7ddceed143b747959fe647494377587c?format=webp" alt="Graphic titled &#x27;The Strategy: Don&#x27;t Expand. Hone In.&#x27; showing tangled sketch lines converging into a focused set of machined metal parts, with three labels: Clean Data, eliminate redundant and obsolete parts; Optimize, launch VAVE initiatives; Stabilize, focus on core plans to weather uncertainty">

All of these findings and others suggest a year where manufacturers are hesitant to launch major projects and expansions. Instead, they want to hone in on their core plans and weather storms of uncertainty.‍We’re here for it. Honing in isn’t unambitious. Instead, it’s an opportunity to focus on foundational projects: cleaning through your mess of <a href="https://us.caddi.com/resources/insights/parts-proliferation-the-junk-drawer-of-manufacturing-chaos" rel="noopener noreferrer" target="_blank">redundant and obsolete parts</a>, launching <a href="https://us.caddi.com/resources/whitepaper/value-analysis-value-engineering-for-manufacturing" rel="noopener noreferrer" target="_blank">VAVE initiatives to optimize design and procurement choices</a>, and more.‍Want to see how CADDi can help you thrive in 2026? Explore our <a href="https://us.caddi.com/product-tour?utm_source=Website-Referral&amp;utm_medium=Website&amp;utm_content=Blog&amp;utm_campaign=&amp;utm_term=" rel="noopener noreferrer" target="_blank">interactive product tour</a> or <a href="https://us.caddi.com/demo-request?utm_source=Website-Referral&amp;utm_medium=Website&amp;utm_content=Demo&amp;utm_campaign=&amp;utm_term=blog" rel="noopener noreferrer" target="_blank">book a personalized demo</a>.

2026 American Manufacturing Survey: 5 Key Takeaways

We’re excited to announce that CADDi – or maybe we should say CADDDi – is now fully compatible with 3D CAD objects! Whether your shop uses primarily 2D drawings, 3D models, or a combination of both, CADDi will create a one-stop <a href="https://us.caddi.com/resources/insights/manufacturing-data-lake" rel="noopener noreferrer" target="_blank" style="font-size: 16px;">data lake</a> for all your manufacturing data.<img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2F22fc5c52cb8043b79f923bb6b1fc0d41?alt=media&amp;token=24d99044-b408-4a53-b318-b16a41d1e5e3&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="CADDi Drawer 3D CAD screen listing six .stp files as a grid of thumbnails, each showing a gray machined plate with a center bore and bolt holes">Read on to learn about this exciting new feature!<h3>Using 3D models in CADDi</h3>Uploading your 3D model files into CADDi is just as quick and easy as working with 2D drawings. You can do bulk uploads of up to 3000 drawings at the time. Your whole library can be imported and analyzed in a flash.<img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2F5d7d8606dd0b4e2cba032e23092232d8?alt=media&amp;token=0a1f83c4-515d-467c-9746-70550e4decf3&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="Three views of a 3D CAD model of a gray square plate with chamfered corners, a central bore and bolt holes, shown from the front, the side, and an angled view">Once imported, you can use CADDi to view your models from any angle and highlight different measurements.‍You can link the 3D model back to the corresponding 2D drawing. Without CADDi, switching back and forth between these viewpoints can be tedious and require jumping between different programs. With CADDi, you can alternate between 2D and 3D smoothly, empowering a deeper understanding of the design.‍For example, 2D drawings are great to understand the specific production process stages that will be applied to a design. It’s easy to see where a machine will make cuts, make holes, bend materials, etc. You can see exactly what measurements and settings will be applied for each step.‍On the other hand, 3D models help let you take a holistic view of the entire final product. Sometimes you may not notice a potential improvement or defect until you’re actually rotating the model and seeing it as a physical object. It can be easier to picture how it will be ultimately used and connected with this perspective.‍Being able to switch back and forth for any given design is the best of both worlds, empowered by CADDi.<h3>3D Object File Compatibilities for CADDi</h3>CADDi supports a wide variety of file formats for 3D objects, including:<ul><li>Solidworks: .sldprt and .sldasm files</li><li>CATIA: .CATPart and CATProduct files</li><li>Solidedge: .par, .psm, and .asm files</li><li>Autodesk Inventor: .ipt and .iam files</li><li>.jt, .prt, .igs, .iges, .stp, .step, .x_t, .x_b, .xmt_txt, and .xmt_bin files</li></ul>‍No matter where you start creating or managing 3D CAD files, CADDi can import them to make them organized, searchable assets.<h3>Try CADD(D)i today!</h3>See the third dimension of CADDi today by signing up for a <a href="https://us.caddi.com/demo-request?utm_source=Website-Referral&amp;utm_medium=Website&amp;utm_content=Demo&amp;utm_campaign=&amp;utm_term=blog" rel="noopener noreferrer" target="_blank">personalized demo</a> or walking through our <a href="https://us.caddi.com/product-tour?utm_source=Website-Referral&amp;utm_medium=Website&amp;utm_content=Blog&amp;utm_campaign=&amp;utm_term=" rel="noopener noreferrer" target="_blank">product tour</a>.

CADDi heads into the Third Dimension with 3D Object Support

PLM is an integrated system for managing the entire lifecycle of a product within the manufacturing sector, encompassing the stages of planning, development, design, production preparation, production, sales, maintenance, and disposal. In contrast, Product Data Management (PDM) refers to the methods and products that manage the foundational data necessary for realizing PLM. The roles of PLM and PDM are distinct; while PLM manages the entire product lifecycle, PDM focuses on the centralized management of design data.<img src="https://cdn.builder.io/o/assets%2F209ee507cedf4c298e100edae4bba2df%2Fdac1addabb8b423094144fd922cdbd25?alt=media&amp;token=c127adf0-1ba7-410d-b175-089b582b0524&amp;apiKey=209ee507cedf4c298e100edae4bba2df" alt="Diagram of PLM versus SCM scope: PLM spans Product Planning, Design and Engineering, Prototyping, Production, and Maintenance; PDM covers only Design and Engineering; SCM runs Procurement, Production, Logistics, and Sales and Service">By implementing PLM, companies can centralize product information, which in the context of manufacturing-centric businesses, contributes to improved production efficiency, cost reduction, quicker product launches to market, and enhanced governance. In many manufacturing industries, the management of the product lifecycle significantly influences revenue. Optimizing and appropriately maintaining PLM can contribute to maximizing profits and reducing costs.Recently, the clear distinction between PLM and PDM has been blurring, with vendors now offering comprehensive product lifecycle management systems that include both PLM and PDM functionalities. For instance, Windchill by PTC, a renowned PLM product, encompasses PDM capabilities within its PLM package. This evolution reflects a trend towards integrated solutions that provide a holistic approach to managing the complex needs of product development and manufacturing processes.

Product Lifecycle Management (PLM) systems offer a comprehensive suite of features designed to manage the entire lifecycle of a product efficiently. Key features included in PLM systems are:<h3>1. Data Management</h3><ul><li>Centralized Product Data Repository: A single source of truth for all product-related information, including designs, specifications, documentation, and BOM (Bill of Materials).</li><li>Document Management: Tools for managing product documentation, version control, and ensuring that all stakeholders have access to the latest information.</li></ul><h3>2. Product Design and Development</h3><ul><li>CAD Integration: Integration with Computer-Aided Design (CAD) tools to manage design files and changes directly within the PLM system.</li><li>Change Management: Processes for managing changes to product designs and documentation, including change requests, impact analysis, and approval workflows.</li></ul><h3>3. Project Management</h3><ul><li>Project Planning and Scheduling: Tools to plan, schedule, and track product development projects, including resource allocation and milestone tracking.</li><li>Collaboration Tools: Features that facilitate communication and collaboration among cross-functional teams, suppliers, and partners.</li></ul><h3>4. Quality Management</h3><ul><li>Quality Control: Processes and tools for ensuring product quality, including quality planning, defect tracking, and CAPA (Corrective and Preventive Actions).</li><li>Compliance Management: Management of compliance with industry standards and regulations throughout the product lifecycle.</li></ul><h3>5. Supply Chain Management</h3><ul><li>Supplier Collaboration: Tools for collaborating with suppliers, including sharing product designs, specifications, and procurement information.</li><li>BOM Management: Management of the Bill of Materials, including creation, modification, and communication with manufacturing and supply chain partners.</li></ul><h3>6. Manufacturing Process Management</h3><ul><li>Manufacturing Planning: Tools for planning manufacturing processes, including workflow definition and factory layout optimization.</li><li>Production Scheduling: Scheduling production runs, managing work orders, and tracking manufacturing progress.</li></ul><h3>7. Product Portfolio Management</h3><ul><li>Product Roadmapping: Tools for planning product portfolios, including market analysis, product strategy development, and lifecycle management.</li><li>Portfolio Analysis: Analysis and reporting tools to evaluate product performance, market trends, and investment returns.</li></ul><h3>8. Configuration Management</h3><ul><li>Version Control: Managing different versions of product designs and documents to ensure consistency and traceability.</li><li>Variant Management: Managing different product variants and configurations to meet diverse market and customer requirements.</li></ul><h3>9. Service and Maintenance</h3><ul><li>Service Lifecycle Management: Tools for managing post-sale service and maintenance, including service plans, warranty tracking, and customer support.</li><li>Feedback Integration: Integrating customer feedback into product development and improvement processes.</li></ul>

It’s not hard to imagine that implementing a PLM system with such an extensive range of features can be challenging. Below, we would like to introduce some common points of failure in PLM implementation.<h3>Alignment in Strategic Objectives, Planning and Priority</h3>A significant gap between the visions of CxO-level executives and the managers or leaders implementing PLM can lead to misaligned strategic objectives and operational processes.Immature planning and a failure to differentiate between essential and important requirements can lead to misguided priorities.<h3>The Big Bang Approach</h3>Deploying numerous PLM modules overnight often overwhelms users, leading to system rejection. This attempt at rapid implementation fails to consider user adaptation and learning curves.Automating too many processes too soon can introduce complexity and delays, leading to increased costs and inflexible business rules.<h3>Stakeholder Engagement and Cultural Change</h3>Failure to engage key stakeholders throughout the implementation process can lead to a lack of buy-in and support for the PLM system.Implementing a PLM system is not just a technological shift but also a significant cultural change for an organization, requiring clear communication and support to navigate.<h3>Missteps in Vendor Selection</h3>Selecting the wrong technology can stall the implementation from the beginning. Organizations frequently seek a PLM solution that is immediately usable without considering the constraints imposed by these solutions.User interfaces that do not cater to the specific needs of different roles can deter users from adopting the system.Also, opting for a Product Data Management (PDM) system when a PLM solution is needed can lead organizations to a dead end, as PDM systems are not designed to manage information across the entire product lifecycle.<h3>Cost Concerns</h3>PLM projects often face high costs, particularly due to user licensing fees, which can inhibit the project before it fully begins.The high cost of PLM licenses can limit the system’s deployment across the organization, restricting the true benefit of PLM from being realized.<h3>Data Integrity and System Integration</h3>Migrating data into a new PLM system is daunting, especially if existing data is unstructured, incomplete, or inaccurate.Off-the-shelf PLM solutions may not fully align with an organization’s specific processes and needs, highlighting the necessity for customization and seamless integration with other enterprise systems.<h3>Training, Support, and Continuous Improvement</h3>Underestimating the need for comprehensive training and ongoing support can result in the underutilization of the system and resistance to adoption.Treating a PLM implementation as a one-time project, rather than an ongoing process, can hinder the system’s ability to adapt to changing business needs and technologies.

Here’s a consolidated guide to ensure a smooth PLM implementation, focusing solely on the solutions that have proven effective.<h3>Strategic Planning and Integration</h3>Comprehensive Integration: To bridge solution gaps, it’s crucial to implement a PLM that integrates all applications comprehensively. Leveraging technologies like Web Services Federation can bring data from various systems into a unified user interface without altering existing solutions.Evaluating Technology Alignment: Ensure the selected PLM technology aligns with both current and future business objectives. It should be scalable, adaptable, and capable of integrating with existing systems to avoid the pitfalls of starting point errors.<h3>Implementation Approach</h3>Phased Rollout: Adopt a phased approach to avoid overwhelming users. Begin with a single process, solicit feedback, make necessary adjustments, and then proceed to the next. This method not only engages users but also flattens the learning curve, contrasting the “Big Bang” implementation strategy.Change Management: Underestimating the change management required is a common oversight. Develop a comprehensive strategy that includes training, communication, and support to help staff adapt. Engaging users early and continuously is key to managing resistance and ensuring smooth adoption.<h3>Cost Management and Access</h3>Cost-effective Licensing: Address high cost estimates by limiting licenses to essential users and exploring shared access methods, such as Microsoft SharePoint or open-source PLM systems, to make PLM benefits accessible across the supply chain without prohibitive costs.<h3>Vision, Support, and Data Governance</h3>Aligning Vision and Roadmap: Align everyone’s understanding by defining clear business goals, setting priorities, and creating a plan to achieve them. Secure strong executive sponsorship to communicate this vision, emphasizing that PLM supports the company’s strategic goals.Data Quality and Governance: Prioritize data quality and establish robust data governance policies from the outset. This includes defining data standards, roles, and responsibilities to ensure data accuracy and consistency.<h3>User Experience and System Usability</h3>Tailored User Interfaces: To counteract the challenge of overly complex UIs, pre-plan to select a PLM solution that offers role-based interfaces tailored to different user needs. Conduct user testing early to ensure the system meets users’ needs, facilitating smoother adoption.<h3>Tool Selection and Automation</h3>Appropriate Tool Selection: Avoid the trap of choosing the wrong tools by not forcing a fit where it does not exist. If multiple PDM systems are currently in use effectively, continue to do so while building a PLM system atop to manage broader business challenges.Balanced Automation: Over-automation can complicate implementation. Automate consistent and predictable routine tasks while allowing room for human judgment. Not every decision needs to be automated to realize the true value of PLM in facilitating process integration and enabling informed decision-making.

In conclusion, successfully implementing a Cloud PLM system is a multifaceted endeavor that requires careful planning, strategic decision-making, and a user-centric approach. By focusing on comprehensive integration, a phased implementation strategy, effective change management, and cost management, businesses can lay a solid foundation for their PLM journey. Aligning the project with the company’s strategic vision, ensuring executive support, prioritizing data quality, and embracing a role-based user experience further enhance the potential for success.Moreover, selecting the right tools and maintaining a balanced approach to automation are crucial steps that cannot be overlooked. In <a href="https://caddi.com/en-us/drawer/resources/insights/cloud-plm-software" rel="noopener noreferrer" target="_blank">another article – “Cloud PLM Software 2024 – Comparison and the future,”</a> we have provided a classification and list of major cloud PLM systems and introduced software to support PLM utilization for your reference.

Procurement 101: Common Failures in Cloud PLM Implementation and How to Avoid Them

Article cover image for “What It Really Takes to Build a Global High-Growth Startup” featuring Atomico Partner Luca Eisenstecken and CADDi CEO Yushiro Kato

Ryota: We see a lot of buzzwords in AI, and we started to see players experiencing exponential growth in this area. The growth period has changed a lot from the past standard. From your perspective, Luca, how has the high-growth playbook changed in this AI era?Luca: It's a great question. It's something that we're grappling with and thinking about every day. I have a slightly different view than what you would probably read day-to-day.<img src="https://cdn.builder.io/api/v1/image/assets%2F209ee507cedf4c298e100edae4bba2df%2F2d3b2f1c94134014bfa6855f5a4dee1c?format=webp" alt="Webinar slide reading How has the high-growth playbook changed in the AI era, with a Slido code 2593631 and QR code for questions, and a speaker video thumbnail labeled Luca Eisenstecken">The rules of the game have changed. That is undeniably true. We are seeing growth trajectories that even two years ago would have been impossible to achieve. It's unprecedented growth. That being said, there's always more than meets the eye.What I’m spending a lot of time trying to unpack is the quality of that revenue and the durability of that growth.While some of these trajectories look mind-bogglingly good, it's always a question of what actually underpins that. The access you have now means you can do more with less. That is incredibly exciting, and if you're not leveraging that, you will lag behind. Also, the solutions have become different. If you are not AI-native, or layering AI-native solutions on a traditional B2B software business, you will likely have a hard time selling in the future because you're competing with founders that are incredibly hungry.However, what has mainly changed is the velocity and the attention we're paying to what is actually driving adoption. Two or three years ago, if you sold a contract, there was not a doubt that usage and ROI were there. Now, we're seeing a lot of experimentation and budget unlocking because corporations just "want to be AI."Therefore, what matters much more now is the underlying usage and actually measuring ROI. You have to identify the pain points you're solving and differentiate from several other solutions coming up.What has me so excited about CADDi is the value delivered every day across departments, the usage in accounts, and the retention metrics. It’s the underlying quality of revenue while still delivering outsized growth. That combination is exceedingly rare and historically has not been possible. If you seize that, that is where a generational opportunity awaits.

Ryota: As you said, it's really hard for companies that are not AI-native to survive. Meanwhile, there is a huge opportunity to utilize existing AIs internally to do more with less. Yushiro, what's your perspective on this?Yushiro: This is a really interesting era. AI matters, but for me, at the same time, AI doesn't really matter. AI is just one of the enablers.There used to be terms like "T2D3" (Triple, Triple, Double, Double, Double) for SaaS growth. Now it's like "Q2T3"—Quadruple, Quadruple, Triple—growing from $1 million to $100 million within three years. You’re surviving in an era of speed.But we haven't changed the plan. We have been an AI-native company long before ChatGPT-3 launched. With CADDi Manufacturing*, we used a lot of AI to automatically recognize the shape of parts, understand customer requirements, and select suppliers.*CADDi’s original business, a platform for delivering custom-made parts ordered by customers with optimal QCD (Quality, Cost, Delivery)The core thing, as Luca said, is the quality of the revenue. We are taking a close look at the churn rate and NRR (Net Revenue Retention). There are a lot of LLM wrappers out there, and it's easy to create those. But the thing that hasn't changed is that growth should be driven by customer needs and deep customer understanding. You should not start from AI or technology; you should start from the market.However, AI has made unsolvable issues solvable. In manufacturing, issues like shortening engineering lead time, reducing procurement costs, and improving quality impact the P&amp;L and Balance Sheet directly.Another important change is the budget shift. Traditionally, software was bought with an IT budget. Now, accountability has shifted to the business' budget because AI software, like CADDi, can impact the real P&amp;L.. We have customers where procurement teams, who have never bought software before, are buying with their own budget.I think we should take a look at what hasn't changed rather than what has. The world will change fast, but the key question is what will remain unchanged for the next 5-10 years.

Yushiro: One question to Luca—how do you assess the quality of revenue? It's really hard to identify the difference between a simple wrapper and a deep solution.Luca: It's both qualitative and quantitative. On the quantitative side: renewal cycles, Gross Revenue Retention, and Net Revenue Retention. Do people renew? Do they expand?We then go a level deeper: Usage. How often do they use it? How does it correlate to their workflows? It's like the classic NPS question: "If CADDi ceased to exist tomorrow, how would you feel?"When I looked at CADDi, I spoke to many customers and experts. Understanding how it gets adopted is a massive indicator. We also look at the gross margin profile—are you giving things away to drive usage?When we pull all of that together, the Venn diagram of "high quality of revenue" and "durability of growth" is very small.&nbsp;What is CADDi’s Edge in this AI age?Ryota: What is CADDi's edge? There are so many companies saying, "We are AI-native." How is CADDi different?Luca: In short: Real, tangible ROI. You're solving huge structural problems that haven't been solvable before. These problems are the largest markets I've seen in the last 10 years.If you have tangible ROI, and you are ingrained in the permission level of companies and data workflows, you have data gravity as a result of usage. That is an edge because you have access to things others don't. No matter how much someone may try, if you're not integrated within the parameters of permission, you cannot solve it.The second edge is your team and ambition. You have a relentless pursuit to be a global business—winning in Japan, Southeast Asia, now expanding to the US. Having a technical edge is hard, but without the ambition to execute, it doesn't matter.Yushiro: I would highlight two main areas. The first is our technical edge, specifically regarding shape recognition. Since the core data of manufacturing lies in design data—drawings and 3D CAD—we leverage our own proprietary technology to recognize and analyze these shapes. To give an analogy, while generic AI can beat humans at Chess or Shogi, it often struggles with specific mate problems because they require deep, specialized logic. There is still a huge gap between verticalized, specialized AI and generic AI, and since manufacturing is one of the deepest industries, our unique shape analysis capability is a critical edge.<img src="https://cdn.builder.io/api/v1/image/assets%2F209ee507cedf4c298e100edae4bba2df%2Fba42581c123443578358363881c2891b?format=webp" alt="Webinar slide reading &#x27;Given this AI shift, what is CADDi&#x27;s edge?&#x27; with a Slido Q&amp;A code and QR code, and speaker Yushiro Kato in a small video window">The second is our organizational strength backed by domain knowledge. We are not just a software company; we started by handling physical products like sheet metals and machining. I personally handled quotations, supplier development, and inspections, and even apologized to customers for quality defects. This experience means we understand the real value chain from engineering to the aftermarket. While generic AI can solve surface-level issues, our deep understanding allows us to tackle the deeper, structural issues that others cannot reach.

Ryota: What unfair advantage led you to bet on CADDi in the US, given that Japanese firms often struggle to scale globally?Yushiro: We never viewed this as "Japan vs. Global."&nbsp;We need to acknowledge that "Japan is part of Global." Our mission doesn't say "support Japanese manufacturers"; we are born global.Our unfair advantage is that we have been doing real manufacturing for more than 7 years. We supported engineers with drawings because we were liable for the quality and cost of the parts we manufactured. We sourced parts from 600 suppliers globally and had several physical inspection centers. We have a deep understanding of the real world—like excess inventory issues—that pure software vendors don't have.Also, drawings are a universal language. Manufacturing is language-agnostic. Our shape analysis technology is universally applicable.Luca: It seems impossible until someone does it. Atomico was founded by the founder of Skype. 20 years ago, people said, "You cannot build a tech giant from Europe." He proved them wrong. Now, 40% of large US successes are non-US founders (such as Datadog, UiPath, Stripe). Great founders and companies can be built from anywhere. You guys are the living example of a Japanese-originated breakout company becoming a global success.

Ryota: Another question: What is the strategy to acquire American accounts?Yushiro: Actually, our portfolio in the US is quite diverse. We are already serving huge US manufacturing enterprises, as well as local job shops. It is certainly not limited to Japanese subsidiaries.To acquire these customers, the strategy is simple but hard: In-person, On-site touchpoints. Even in this virtual era, we visit their factories, attend trade shows, and talk to CXOs and VPs face-to-face. Since customers upload proprietary data like drawings and costs, emotional credibility is essential.<img src="https://cdn.builder.io/api/v1/image/assets%2F209ee507cedf4c298e100edae4bba2df%2Fed2edcd1b9e441abb8eeacd57b04b704?format=webp" alt="Webinar slide titled Clients Logo in Japan showing a grid of 25 Japanese manufacturer logos including Subaru, Suzuki, Toyota Battery, Kawasaki, Denso, Komatsu, Yanmar, IHI, NSK, MinebeaMitsumi, Nidec, Tokyo Electron, Ebara, YKK, Topcon and Kitz, noted as a partial list as of Nov 2025."> Slide from the webinar deck showing some CADDi clients in Japan.This slide only shows a part of the clients in Japan but we also have many US local clients.

Ryota: One final question: What positions are we hiring for, and are there global transfer opportunities?Yushiro: We are hiring for basically everything: BizDev, Customer Success, Sales, Marketing, Corporate (HR, Hiring, Accounting), and Engineering.Regarding transfer opportunities: Yes. We have about 50 employees in the US, and some have transferred from Japan. Recently, I asked on my Slack channel, "Is there anybody who wants to go to the US?" More than 10 people said yes. I picked one, and he is moving next month. It's that casual. If you are performing well, the opportunities are there. We are also expanding into Europe and other parts of Asia, so naturally, there will be more global transfer opportunities.Ryota: Great. We need to expand our team, and we are in the phase of building a strong team here in the US. It should be a very exciting opportunity.CADDi continues to grow and is seeking global talents across different specialties and experience levels. Check out our careers page for open positions in the US and Japan.<a href="https://apply.workable.com/caddi/" rel="noopener noreferrer" target="_blank">CADDi Careers at CADDi -Job Openings- apply.workable.com</a>

What It “Really” Takes to Build a Global High-Growth Startup

CADDi leverages AI to digitize drawings and procurement data, making manufacturing insights searchable by shape, text, dimensions and part names.