Knowledge base
Guides to PLM, PIM, DAM, PPWR, DPP and compliance
48 practitioner guides for product data, sustainability and IT leaders. Each article opens with a direct answer, lists key takeaways and links to the vendors and regulations it covers.
IndexKB-ALL48 articles · 35k words
PLM
Product lifecycle management: specifications, BOMs, change control and supplier collaboration.
- KB-PLM-01What is PLM? Product lifecycle management, its core modules and who uses itPLM manages a product from concept to end of life: requirements, BOM, change control, specifications, suppliers and compliance. See modules and industry fit.
- KB-PLM-02The product content stack: how PLM, ERP, PIM, DAM and PXM split responsibilitiesPLM owns specs and BOMs, ERP owns prices and stock, PIM owns marketing and channel data, DAM owns assets. Clear ownership decides project success.
- KB-PLM-03BOM management explained: EBOM, MBOM, SBOM, configurable BOMs and change controlEBOM, MBOM and SBOM describe one product for engineering, manufacturing and service. Material-level BOM data now feeds DPP and PPWR compliance reporting.
- KB-PLM-04Retail, fashion, CPG and food PLM: tech packs, line planning, specifications and supplier collaborationFashion, retail, CPG and food PLM manage tech packs, line plans, specifications, materials and packaging. Material data feeds the textile DPP and PPWR.
- KB-PLM-05How to select a PLM system: a step-by-step process from scope to contractA PLM selection runs through scope, requirements, longlist, scripted demos, reference checks, TCO and contract, and typically takes 4 to 8 months to finish.
- KB-PLM-06SaaS, private cloud or on-premise PLM: trade-offs in customisation, upgrades, CAD, residency and costSaaS PLM offers fast upgrades and low IT effort; on-premise offers deep customisation and control. Compare CAD integration, data residency and cost profile.
PPWR
The EU Packaging and Packaging Waste Regulation and the packaging data it demands.
- KB-PKG-01PPWR explained: what the EU Packaging and Packaging Waste Regulation requires and why it is a product data problemPPWR (EU) 2025/40 applies from 12 August 2026 to every company placing packaging on the EU market. Compliance depends on component-level packaging data.
- KB-PKG-02PPWR timeline: obligations and deadlines from entry into force to the 2040 targetsPPWR entered into force on 11 February 2025 and applies from 12 August 2026. Recyclability, recycled content and reuse obligations follow from 2030 to 2040.
- KB-PKG-03Recyclability under PPWR: design-for-recycling criteria, performance grades and the component data behind themFrom 2030 PPWR requires packaging to reach recyclability grade A, B or C, and from 2035 to be recycled at scale. Grades depend on data for every component.
- KB-PKG-04PPWR recycled content and reuse targets: tiers, calculation and the supplier data behind themPPWR sets recycled content minimums of 10% to 35% for plastic packaging from 2030, rising to 25% to 65% by 2040, plus reuse targets for transport.
- KB-PKG-05A practical packaging data model for PPWR: hierarchy, components, evidence and where the data should liveA PPWR-ready packaging data model links primary, secondary and tertiary levels to components, materials, weights, recycled content, grades and declarations.
- KB-PKG-06PPWR labelling and EPR: harmonised sorting labels, QR codes, producer reporting and fee modulationPPWR brings harmonised sorting labels from August 2028, QR codes for reusable packaging and EPR fees modulated by recyclability grade, all from one data set.
DPP
Digital Product Passports under ESPR, the battery passport and the data architecture behind them.
- KB-DPP-01The EU Digital Product Passport explained: what it holds, who reads it and when it arrivesThe EU Digital Product Passport is a product-level data record reached via a data carrier, defined per product group by ESPR delegated acts from 2027 onwards.
- KB-DPP-02ESPR, the Ecodesign for Sustainable Products Regulation: scope, delegated acts and what product teams must prepareESPR (EU) 2024/1781 sets ecodesign rules for almost all physical goods via delegated acts, bans destroying unsold apparel and footwear, and enables the DPP.
- KB-DPP-03The EU battery passport: data fields, deadlines and responsibilities under Regulation (EU) 2023/1542From 18 February 2027 every EV, LMT and industrial battery above 2 kWh on the EU market needs an item-level battery passport reached through a QR code.
- KB-DPP-04The textile Digital Product Passport: what ESPR will require and how fashion brands should prepareThe textile DPP under ESPR is expected via a delegated act around 2027, with application later. Brands should fix fibre, origin and supplier data in PLM now.
- KB-DPP-05Digital Product Passport data architecture: identifiers, GS1 Digital Link, registry and system integrationA DPP architecture links GTIN, batch and serial IDs via a GS1 Digital Link QR code to decentralised data, the EU registry and PLM, PIM and ERP sources.
- KB-DPP-06Digital Product Passport readiness roadmap: a 12 to 24 month plan from data inventory to scale-upA DPP readiness roadmap runs 12 to 24 months: data inventory, gap analysis, supplier data collection, system ownership, a pilot product, then scale-up.
Compliance
Product safety, deforestation, sustainability reporting, green claims, substances and accessibility.
- KB-CMP-01GPSR product safety data: operators, warnings, traceability and recalls in the product recordGPSR (EU) 2023/988 requires operator details, product identifiers and local-language warnings in every online offer. How to model them in PIM and ERP.
- KB-CMP-02EUDR deforestation traceability: commodities, geolocation, due diligence statements and the data behind themEUDR needs plot geolocation and a due diligence statement for seven commodities and derived products. What PLM, ERP and PIM must hold, and when, as amended.
- KB-CMP-03CSRD, Scope 3 and product carbon footprints: where product-level emissions data should liveCSRD Scope 3 reporting and customer requests both depend on product carbon footprints. How ISO 14067 and PEF data fit PLM, ERP and PIM after the 2025 Omnibus.
- KB-CMP-04Green claims under the ECGT Directive: banned wording, sustainability labels and claims governance in product contentDirective (EU) 2024/825 applies from 27 September 2026 and bans generic environmental claims. How to govern claims, labels and durability data in PIM.
- KB-CMP-05Substance compliance data: REACH SVHC, SCIP notifications, RoHS, PFAS and full material declarations linked to the BOMREACH SVHC, SCIP, RoHS and PFAS rules all depend on substance data per component. How to collect supplier declarations and link them to BOMs in PLM.
- KB-CMP-06European Accessibility Act and product content: alt text, documents and WCAG requirements for PIM and DAMThe European Accessibility Act applies to e-commerce from 28 June 2025. Alt text, accessible PDFs and WCAG 2.1 AA via EN 301 549 depend on PIM and DAM data.
DAM
Digital asset management: metadata, rights, integration with PIM and the business case.
- KB-DAM-01What is DAM? Digital asset management, its core functions and product DAM versus brand DAMDAM is the system of record for images, video and documents: ingest, metadata, search, workflow, rights and delivery. How product DAM differs from brand DAM.
- KB-DAM-02DAM selection criteria: a weighted framework for choosing digital asset management softwareTen weighted DAM selection criteria, from metadata model and PIM integration to EU data residency and pricing, plus how to adjust weights and score demos.
- KB-DAM-03DAM metadata schema and taxonomy design: vocabularies, identifiers, naming and governanceHow to design a DAM metadata schema: controlled vocabularies, required fields per asset type, SKU and GTIN on assets, file naming rules and governance roles.
- KB-DAM-04DAM and PIM integration: who masters what, renditions, sync methods and retailer image specsDAM and PIM integration patterns: DAM masters the file, one system masters the asset-to-SKU link, renditions by profile, and API, event or connector sync.
- KB-DAM-05Rights management and content provenance in DAM: licences, releases, restrictions and C2PAHow DAM manages usage rights, licence expiry, model releases and territory or channel limits, and how C2PA Content Credentials label AI-generated content.
- KB-DAM-06DAM ROI business case: five value drivers and a worked exampleBuild a DAM ROI case from five drivers: search time, asset reuse, fewer reshoots, faster launches and rights risk avoided, with a labelled worked example.
PIM & PXM
Product information and product experience management, syndication and data governance.
- KB-PIM-01What is PIM? Core capabilities, who needs it and when to buyPIM centralises, enriches and governs product data for every channel. See the six core capabilities, who needs a PIM system and the signs it is time to buy.
- KB-PIM-02PXM: what product experience management adds to PIM, and when the label is marketingPXM extends PIM with content, assets, syndication, analytics and personalisation. It earns the name only when channel data drives content work.
- KB-PIM-03Product data syndication: GDSN, data pools, retailer templates and error loopsProduct data syndication sends product content to retailers and marketplaces via GDSN data pools, templates and feeds. Error loops decide whether it scales.
- KB-PIM-04Product data quality and governance: dimensions, scoring, ownership and cadenceProduct data quality needs scored dimensions, ownership per attribute domain, named stewards, a short KPI set and a fixed review cadence. How to set it up.
- KB-PIM-05How to run a PIM selection: from requirements to contractA sound PIM selection runs in five steps: use-case requirements, scripted demos with your data, weighted scoring, a paid proof of concept and firm contracts.
- KB-PIM-06MDM vs PIM: how master data management and product information management differMDM governs master data across domains for internal systems. PIM enriches product content for external channels. The differences and when to combine both.
AI
AI in product content, the EU AI Act, generative engine optimisation and agentic commerce.
- KB-AI-01AI in product content: where it adds value from supplier onboarding to quality checksAI adds most value in product content where output can be checked against a schema: mapping, classification and extraction first, generative copy last.
- KB-AI-02Governance for generative AI product descriptions: brand rules, grounding, review and auditGovern generative product copy with six controls: brand rules, grounding in attributes, review thresholds, prohibited claims, audit trail and quality metrics.
- KB-AI-03What the EU AI Act (EU) 2024/1689 means for product content teamsMost product content AI is limited or minimal risk under the EU AI Act. Duties: AI literacy since Feb 2025, Article 50 since Aug 2026, vendor checks.
- KB-AI-04Generative Engine Optimisation: how AI-ready product data earns visibility in AI answersGenerative engines cite products whose data is structured, complete and consistent. GEO for product content: schema.org, attributes, entities, llms.txt.
- KB-AI-05AI auto-tagging in DAM: recognition, custom models, visual search and review workflowsAI auto-tagging speeds DAM metadata, but generic tags rarely match business taxonomies. See accuracy expectations, custom models, review workflows and cost.
- KB-AI-06Agentic commerce: what AI shopping and procurement agents need from product dataAI shopping and procurement agents buy from structured, current data: price, availability, specifications and compliance. How to prepare product data feeds.
Architecture
Integration patterns, RFPs, total cost of ownership and the business case for the product stack.
- KB-ARC-01Composable and MACH architecture for the product content stack: benefits, costs and when a suite winsComposable MACH stacks trade licence cost for permanent integration work. See the benefits, the costs and the criteria that favour a PXM suite instead.
- KB-ARC-02Integration patterns for PLM, ERP, PIM and DAM: flows, identifiers and master data ownershipProduct data flows from PLM to ERP to PIM to channels, with DAM alongside. Compare point-to-point, iPaaS, event-driven and API-led patterns and set ownership.
- KB-ARC-03How to write an RFP for PLM, PIM, DAM or PXM: structure, requirements, demo scripts and scoringA strong PIM, PLM, DAM or PXM RFP uses MoSCoW requirements, scripted demos on your own data and a weighted scoring model agreed before vendors respond.
- KB-ARC-04Total cost of ownership for PXM, PIM and DAM: a five-year model with a worked exampleLicences are often only a third of five-year PXM cost. Model implementation, integration, migration, internal staff, run costs and upgrades before you sign.
- KB-ARC-05Product data implementation pitfalls: five recurring failures in PIM, PLM and DAM projects and their mitigationsMost PIM, PLM and DAM projects stall on ownership, customisation, migration, stewardship or big bang rollouts. See each pitfall and how to mitigate it.
- KB-ARC-06Building the business case for a product content platform: value drivers, quantification and executive framingA credible PIM, DAM or PXM business case quantifies five value drivers from your own baseline, frames risk for executives and funds delivery in phases.