<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>PXM Atlas knowledge base</title><link>https://pxmatlas.com/knowledge/</link><description>Guides on PXM, PIM, DAM, PLM, EU regulation and AI.</description><language>en</language><item><title>Agentic commerce: preparing product data for AI shopping agents</title><link>https://pxmatlas.com/knowledge/agentic-commerce-product-data/</link><guid>https://pxmatlas.com/knowledge/agentic-commerce-product-data/</guid><description>Agentic commerce is shopping in which AI agents search, compare and complete purchases on behalf of buyers. In 2026 the main open specifications are the Agentic Commerce Protocol (ACP) from OpenAI and Stripe, Google's Universal Commerce Protocol (UCP) and the Agent Payments Protocol (AP2). All depend on complete, structured and current product data supplied through feeds and APIs.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>AI in PIM: use cases, data requirements and governance</title><link>https://pxmatlas.com/knowledge/ai-in-pim/</link><guid>https://pxmatlas.com/knowledge/ai-in-pim/</guid><description>AI in PIM is the use of machine learning and large language models inside product information management to create, enrich, classify, translate and check product data. Results depend on the quality of the underlying data model, and outputs need governance: confidence thresholds, human review and an audit trail.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>AI product data enrichment: extraction, classification, QA</title><link>https://pxmatlas.com/knowledge/ai-product-data-enrichment/</link><guid>https://pxmatlas.com/knowledge/ai-product-data-enrichment/</guid><description>AI product data enrichment uses machine learning and large language models to fill missing attributes, extract values from supplier documents and images, classify products into standards such as ETIM, ECLASS or GS1 GPC, and normalise units and values. It works best with a defined target data model, confidence thresholds and human review of uncertain or high-risk values.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>B2B vs B2C product experience: how product data needs differ</title><link>https://pxmatlas.com/knowledge/b2b-vs-b2c-product-experience/</link><guid>https://pxmatlas.com/knowledge/b2b-vs-b2c-product-experience/</guid><description>B2B and B2C product experience differ in buyer, decision process and data. B2B buyers need deep technical specifications, classification standards such as ETIM or ECLASS, documents, customer-specific assortments and procurement formats, while B2C shoppers need visual, persuasive and concise content across webshops and marketplaces. Most manufacturers serve both from one master record with channel-specific views.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>Composable Commerce and PXM: The Role of PIM in a MACH Stack</title><link>https://pxmatlas.com/knowledge/composable-commerce-and-pxm/</link><guid>https://pxmatlas.com/knowledge/composable-commerce-and-pxm/</guid><description>In composable commerce, the PIM or PXM platform acts as the product content service that supplies attributes, relations, assets and translations to the commerce engine, search, CMS and front ends through APIs and events. Success depends on clear data ownership per service, event-driven synchronisation and a product model designed for API consumption.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>CSRD and product data after the 2026 Omnibus simplification</title><link>https://pxmatlas.com/knowledge/csrd-and-product-data/</link><guid>https://pxmatlas.com/knowledge/csrd-and-product-data/</guid><description>Since Omnibus I entered into force on 18 March 2026, the CSRD applies to EU companies with more than 1,000 employees and more than EUR 450 million net turnover. Product data still matters: Scope 3 emissions, substances of concern and circular economy metrics in the ESRS depend on material, weight and composition data held across PLM, ERP and PIM.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>DAM and PIM Integration: Patterns, Data Ownership and Steps</title><link>https://pxmatlas.com/knowledge/dam-and-pim-integration/</link><guid>https://pxmatlas.com/knowledge/dam-and-pim-integration/</guid><description>DAM and PIM integration connects the system that governs media files with the system that governs product data, so every product record references the correct, approved and licensed assets. The most common pattern keeps files and rights in the DAM and stores asset references, roles and sort order in the PIM, with links created automatically through GTIN or SKU based naming or metadata.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>DAM Metadata and Taxonomy Design: Schema, Fields and Governance</title><link>https://pxmatlas.com/knowledge/dam-metadata-taxonomy/</link><guid>https://pxmatlas.com/knowledge/dam-metadata-taxonomy/</guid><description>A DAM metadata taxonomy is the structured set of fields, controlled vocabularies and hierarchies used to describe, find and govern digital assets. A good design combines descriptive, administrative, technical, rights and relational metadata, keeps mandatory fields to a minimum at upload, aligns with IPTC, XMP and Dublin Core, and assigns a named owner to every vocabulary.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>Digital Asset Rights Management: Licences, Releases and Expiry</title><link>https://pxmatlas.com/knowledge/digital-asset-rights-management/</link><guid>https://pxmatlas.com/knowledge/digital-asset-rights-management/</guid><description>Digital asset rights management is the practice of recording and enforcing the usage rights attached to images, video and other media: who owns them, where, how and until when they may be used. In a DAM it combines structured rights metadata, model and property releases, expiry automation and propagation to PIM and channels, so expired or restricted assets are withdrawn everywhere.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>Digital Product Passport Explained: EU Rules, Scope and Dates</title><link>https://pxmatlas.com/knowledge/digital-product-passport-explained/</link><guid>https://pxmatlas.com/knowledge/digital-product-passport-explained/</guid><description>A digital product passport (DPP) is a structured set of product-specific data, linked to a unique identifier and reached through a data carrier such as a QR code. ESPR (EU) 2024/1781 sets the general framework, the EU DPP registry went live on 20 July 2026 and the first mandatory passports are battery passports from 18 February 2027. Toys follow from 1 August 2030 and ESPR product groups follow their delegated acts.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>DPP Data Architecture: Identifiers, Carriers, Hosting, Access</title><link>https://pxmatlas.com/knowledge/dpp-data-architecture/</link><guid>https://pxmatlas.com/knowledge/dpp-data-architecture/</guid><description>A digital product passport architecture has five layers: source systems, a passport data layer, unique identifiers with data carriers, hosting with access control, and registration in the EU DPP registry. PIM typically supplies identity, classification and multilingual content, while PLM, ERP and LCA tools supply composition, batch and footprint data. Harmonised standards cited in July 2026 now define identifiers, carriers, APIs and interoperability.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>ESPR Explained: Ecodesign Regulation (EU) 2024/1781 Timeline</title><link>https://pxmatlas.com/knowledge/espr-ecodesign-regulation/</link><guid>https://pxmatlas.com/knowledge/espr-ecodesign-regulation/</guid><description>The Ecodesign for Sustainable Products Regulation (ESPR), Regulation (EU) 2024/1781, entered into force on 18 July 2024 and lets the Commission set performance and information requirements, including digital product passports, for almost all physical products. Requirements apply per product group through delegated acts, none of which had been adopted under the working plan by 17 October 2026. A ban on destroying unsold apparel and footwear has applied to large enterprises since 19 July 2026.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>ETIM and ECLASS classification: a guide for product data teams</title><link>https://pxmatlas.com/knowledge/etim-eclass-classification/</link><guid>https://pxmatlas.com/knowledge/etim-eclass-classification/</guid><description>ETIM and ECLASS are open product classification standards that assign each technical product a class and a fixed set of typed features, values and units. ETIM dominates electrical, HVAC and installation wholesale in Europe; ECLASS covers a broader industrial scope. As of October 2026 the current releases are ETIM 10.0 and ECLASS 16.0, with ETIM 11.0 planned for 1 December 2026.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>The EU AI Act and AI-generated product content in 2026</title><link>https://pxmatlas.com/knowledge/eu-ai-act-product-content/</link><guid>https://pxmatlas.com/knowledge/eu-ai-act-product-content/</guid><description>For product content teams, the EU AI Act (Regulation (EU) 2024/1689) mainly means Article 50 transparency duties, applicable since 2 August 2026, and an obligation to support AI literacy. Human-reviewed product descriptions generally need no AI label, but shopping chatbots must disclose that they are AI and realistic synthetic images may count as deepfakes.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>EUDR Product Data: Deforestation Rules, Dates and Attributes</title><link>https://pxmatlas.com/knowledge/eudr-product-data/</link><guid>https://pxmatlas.com/knowledge/eudr-product-data/</guid><description>The EU Deforestation Regulation (EUDR), Regulation (EU) 2023/1115, requires that cattle, cocoa, coffee, oil palm, rubber, soya and wood products are deforestation-free, legal and covered by a due diligence statement. After amendments in 2024 and 2025 it applies from 30 December 2026 for large and medium operators and from 30 June 2027 for micro and small operators. Product data teams need commodity codes, geolocation and statement references linked to items and batches.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>European Accessibility Act: what it means for product content</title><link>https://pxmatlas.com/knowledge/european-accessibility-act-product-content/</link><guid>https://pxmatlas.com/knowledge/european-accessibility-act-product-content/</guid><description>The European Accessibility Act (Directive (EU) 2019/882) has applied since 28 June 2025 and requires consumer e-commerce services in the EU to be accessible. For product content this means text alternatives for images, captions for video, accessible documents and information about the accessibility features of the products being sold.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>Generative AI for product descriptions: workflow and controls</title><link>https://pxmatlas.com/knowledge/generative-ai-product-descriptions/</link><guid>https://pxmatlas.com/knowledge/generative-ai-product-descriptions/</guid><description>Generative AI for product descriptions uses large language models to draft titles, descriptions and bullet points from structured product attributes, brand guidelines and channel rules. Accuracy depends on grounding the model in verified data, and EU consumer law applies to AI-written claims exactly as it does to human-written copy.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>Generative engine optimisation (GEO) for product content</title><link>https://pxmatlas.com/knowledge/generative-engine-optimisation-product-content/</link><guid>https://pxmatlas.com/knowledge/generative-engine-optimisation-product-content/</guid><description>Generative engine optimisation (GEO) is the practice of structuring product content so that AI assistants and AI search features, such as ChatGPT, Gemini and Google AI Mode, can find, interpret and cite it. For product teams, GEO rests on complete structured attributes, accurate product feeds, schema.org markup and pages that answer buyer questions directly.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>GPSR Explained: Product Safety Data Rules Under (EU) 2023/988</title><link>https://pxmatlas.com/knowledge/gpsr-product-safety-regulation/</link><guid>https://pxmatlas.com/knowledge/gpsr-product-safety-regulation/</guid><description>The General Product Safety Regulation (GPSR), Regulation (EU) 2023/988, has applied since 13 December 2024 to non-food consumer products without more specific EU safety rules. It requires product identifiers, manufacturer and EU responsible person details, and warnings or safety information on the product and in every online offer. For PIM teams this makes safety information mandatory, structured content for every channel.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>GS1 GDSN explained: how global data synchronisation works</title><link>https://pxmatlas.com/knowledge/gs1-gdsn-explained/</link><guid>https://pxmatlas.com/knowledge/gs1-gdsn-explained/</guid><description>The GS1 Global Data Synchronisation Network (GDSN) is a standards-based network through which suppliers publish product master data once to a certified data pool, and retailers, distributors and healthcare providers subscribe to it. Items are identified by GTIN, information provider GLN and target market, and the GS1 Global Registry connects publishers and subscribers across data pools.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>Headless commerce product APIs: architecture and design guide</title><link>https://pxmatlas.com/knowledge/headless-commerce-product-apis/</link><guid>https://pxmatlas.com/knowledge/headless-commerce-product-apis/</guid><description>A headless commerce product API exposes product data from a PIM or commerce platform to any front end, such as webshops, apps, kiosks and AI agents, independent of a presentation layer. Effective designs separate management and delivery APIs, publish changes through events or webhooks, cache delivery responses close to users and measure freshness and latency against defined service levels.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>Marketplace content requirements: Amazon, Zalando and bol</title><link>https://pxmatlas.com/knowledge/marketplace-content-requirements/</link><guid>https://pxmatlas.com/knowledge/marketplace-content-requirements/</guid><description>Marketplace content requirements are the identifier, attribute, title, image and compliance rules a product listing must meet before a marketplace accepts it. Amazon, Zalando and bol all key listings on GTIN or EAN, enforce category-specific mandatory attributes and image rules, and since 13 December 2024 require GPSR safety and manufacturer information for products sold to EU consumers.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>How to Measure Product Content ROI: KPIs, Methods, Formulas</title><link>https://pxmatlas.com/knowledge/measuring-product-content-roi/</link><guid>https://pxmatlas.com/knowledge/measuring-product-content-roi/</guid><description>Product content ROI is measured by linking content improvements (completeness, richness, accuracy, speed) to business outcomes (conversion, returns, channel acceptance, labour hours) and comparing the value with the cost. Reliable measurement uses a baseline, controlled comparisons such as A/B tests or holdout categories, and a fixed KPI set reported monthly.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>Multilingual product content: managing languages and locales</title><link>https://pxmatlas.com/knowledge/multilingual-product-content/</link><guid>https://pxmatlas.com/knowledge/multilingual-product-content/</guid><description>Multilingual product content management is the practice of modelling, translating, localising and approving product information for each language and market from one master record. It relies on a PIM data model that separates global, language-specific and locale-specific attributes, translation workflows combining machine translation with human review, and controlled terminology, while meeting legal language rules such as those in the EU General Product Safety Regulation.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>Open-Source vs SaaS PIM: Costs, Control and Licensing Compared</title><link>https://pxmatlas.com/knowledge/open-source-vs-saas-pim/</link><guid>https://pxmatlas.com/knowledge/open-source-vs-saas-pim/</guid><description>Open-source PIM provides the source code under a licence that allows self-hosting and deep customisation, with the buyer responsible for hosting, security and upgrades. SaaS PIM is a vendor-operated subscription service with continuous updates and less code-level control. The right choice depends on in-house engineering capacity, customisation needs, licence terms and five-year total cost of ownership.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>PIM Data Model Design: Families, Attributes, Variants, Rules</title><link>https://pxmatlas.com/knowledge/pim-data-model-design/</link><guid>https://pxmatlas.com/knowledge/pim-data-model-design/</guid><description>A PIM data model is the structure that defines which product types (families) exist, which attributes each needs, how variants inherit values, how products relate, and how values vary by channel and locale. A sound model starts from channel and regulatory requirements, uses typed attributes with units, and maps to standards such as ETIM, ECLASS or GS1 GPC.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>PIM Implementation Roadmap: Phases, Timeline, Roles and Risks</title><link>https://pxmatlas.com/knowledge/pim-implementation-roadmap/</link><guid>https://pxmatlas.com/knowledge/pim-implementation-roadmap/</guid><description>A PIM implementation roadmap sequences the work from mobilisation, discovery and data model design through configuration, integration, data migration, testing and go-live, followed by phased roll-out to more channels and markets. A first release for a mid-sized organisation typically takes four to nine months (estimate) when scope is limited to a minimum viable set of families, sources and channels.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>PIM Selection Criteria: How to Evaluate and Score PIM Software</title><link>https://pxmatlas.com/knowledge/pim-selection-criteria/</link><guid>https://pxmatlas.com/knowledge/pim-selection-criteria/</guid><description>PIM selection criteria are the weighted requirements used to compare product information management platforms against an organisation's own data, processes and channels. The criteria that best predict success are data model fit, workflow and governance, integration, syndication and standards, usability at scale, and commercial and partner fit, each tested with scripted demos on real product data.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>PIM Total Cost of Ownership: Cost Drivers and a 5-Year Model</title><link>https://pxmatlas.com/knowledge/pim-total-cost-of-ownership/</link><guid>https://pxmatlas.com/knowledge/pim-total-cost-of-ownership/</guid><description>PIM total cost of ownership (TCO) is the full cost of acquiring, implementing, running and eventually replacing a product information management platform, usually modelled over five years. Licence or subscription fees are often a minority of the total; implementation, integration, internal data teams, content enrichment and upgrades make up the rest.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>PLM and Ecodesign Data: Preparing for ESPR Requirements</title><link>https://pxmatlas.com/knowledge/plm-and-ecodesign-data/</link><guid>https://pxmatlas.com/knowledge/plm-and-ecodesign-data/</guid><description>Ecodesign data is the set of product attributes and evidence that ESPR delegated acts will require, including durability, repairability, recycled content, substances of concern and environmental footprint. Because these values are decided during design and sourcing, PLM is usually the system of record. PIM and passport systems then publish the approved values to customers and authorities.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>PLM to PIM Handoff: Data Scope, Timing and Attribute Ownership</title><link>https://pxmatlas.com/knowledge/plm-to-pim-handoff/</link><guid>https://pxmatlas.com/knowledge/plm-to-pim-handoff/</guid><description>The PLM to PIM handoff is the governed transfer of released product definitions from product lifecycle management into product information management. PLM remains the master for engineering, material and compliance data, while PIM adds commercial, channel and localised content. A staged, attribute-level handoff shortens time to market and supports EU passport and packaging obligations.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>PLM vs PIM: Differences, Data Ownership and When to Use Both</title><link>https://pxmatlas.com/knowledge/plm-vs-pim/</link><guid>https://pxmatlas.com/knowledge/plm-vs-pim/</guid><description>PLM (product lifecycle management) manages product definition data such as CAD, bills of materials, specifications and engineering changes, mainly for R&amp;D, engineering and quality teams. PIM (product information management) manages commercial product content such as marketing attributes, descriptions, classifications, assets and translations for sales channels. Manufacturers and brands usually need both, connected by a governed handoff.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>PPWR Explained: EU Packaging Regulation 2025/40 and Timeline</title><link>https://pxmatlas.com/knowledge/ppwr-explained/</link><guid>https://pxmatlas.com/knowledge/ppwr-explained/</guid><description>The Packaging and Packaging Waste Regulation (PPWR), Regulation (EU) 2025/40, replaces Directive 94/62/EC and has applied since 12 August 2026. It sets directly applicable EU rules on packaging substances, recyclability, recycled content, minimisation, reuse, labelling and extended producer responsibility. Many obligations phase in from 2028 to 2040 and several implementing acts were still pending in October 2026.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>PPWR Product Data Requirements: Attributes, Evidence, Labels</title><link>https://pxmatlas.com/knowledge/ppwr-product-data-requirements/</link><guid>https://pxmatlas.com/knowledge/ppwr-product-data-requirements/</guid><description>PPWR compliance requires structured packaging data at component level, linked to every sellable item: materials, weights, recyclability evidence, recycled content, substances of concern, reusability and label content. Since 12 August 2026 this data must support technical documentation and an EU declaration of conformity. PIM, PLM or a dedicated packaging system can master it, provided ownership and evidence links are clear.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>Product Content Maturity Model: 5 Levels and Self-Assessment</title><link>https://pxmatlas.com/knowledge/product-content-maturity-model/</link><guid>https://pxmatlas.com/knowledge/product-content-maturity-model/</guid><description>A product content maturity model is a structured way to score how well an organisation creates, governs, distributes and measures product content. The PXM Atlas model uses five levels, from ad hoc spreadsheets to adaptive, data-driven content, across six dimensions, so teams can identify the next realistic improvement step.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>Product data governance: roles, policies and operating models</title><link>https://pxmatlas.com/knowledge/product-data-governance/</link><guid>https://pxmatlas.com/knowledge/product-data-governance/</guid><description>Product data governance is the set of roles, decision rights, policies and controls that determine who owns, creates, changes and approves product data across PIM, ERP, PLM and channels. A working model names a data owner and data steward per domain, fixes a source system per attribute group, and measures compliance with KPIs such as rule pass rate and time to resolve data issues.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>Product data quality framework: dimensions, rules and KPIs</title><link>https://pxmatlas.com/knowledge/product-data-quality-framework/</link><guid>https://pxmatlas.com/knowledge/product-data-quality-framework/</guid><description>A product data quality framework is a defined set of quality dimensions, measurable rules, scores, owners and remediation workflows that keeps product data fit for its channels. Most frameworks measure completeness, accuracy, consistency, validity, timeliness and uniqueness, align with standards such as ISO 8000 and the GS1 Data Quality Framework, and report scores per category, supplier and channel.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>Product data syndication: channels, methods and governance</title><link>https://pxmatlas.com/knowledge/product-data-syndication/</link><guid>https://pxmatlas.com/knowledge/product-data-syndication/</guid><description>Product data syndication is the controlled distribution of approved product content from a PIM or PXM platform to retailers, marketplaces, distributors and data pools, mapped to each recipient's data model and format. It combines standards such as GS1 GDSN with channel APIs and feeds, and it is measured by acceptance rate, time to listing and content compliance per channel.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>How to Build a PXM Business Case: Value Drivers, Costs, ROI</title><link>https://pxmatlas.com/knowledge/pxm-business-case/</link><guid>https://pxmatlas.com/knowledge/pxm-business-case/</guid><description>A PXM business case compares the measurable benefits of better product content (faster time to market, higher conversion, fewer returns, lower manual effort, compliance readiness) with a five-year total cost of ownership. Strong cases use baseline data from current processes, conservative assumptions and named benefit owners.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>PXM vs PIM vs MDM: Differences, Overlap and When to Use Each</title><link>https://pxmatlas.com/knowledge/pxm-vs-pim-vs-mdm/</link><guid>https://pxmatlas.com/knowledge/pxm-vs-pim-vs-mdm/</guid><description>MDM creates a trusted master record for data domains such as product, customer and supplier across enterprise systems. PIM enriches product data for marketing and sales channels, and PXM adds channel tailoring, syndication and content analytics on top of PIM. Many organisations run MDM for operational product data and PIM or PXM for commercial content.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>Supplier data onboarding: a step-by-step process for PIM teams</title><link>https://pxmatlas.com/knowledge/supplier-data-onboarding/</link><guid>https://pxmatlas.com/knowledge/supplier-data-onboarding/</guid><description>Supplier data onboarding is the process by which retailers, wholesalers and distributors collect product data and assets from suppliers, validate them against a defined minimum data set and approve them into the PIM. Effective onboarding uses standard formats such as GS1 GDSN, BMEcat or ETIM xChange where possible, automated validation in a staging area, and KPIs such as time to onboard and first-pass yield.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>What Is Digital Asset Management (DAM)? Definition and Uses</title><link>https://pxmatlas.com/knowledge/what-is-dam/</link><guid>https://pxmatlas.com/knowledge/what-is-dam/</guid><description>Digital asset management (DAM) is software that centrally stores, describes, governs and distributes rich media such as images, video, 3D files and documents. A DAM adds structured metadata, version control, usage rights, approval workflows and automated renditions, so teams can find the right approved asset and deliver it to every channel in the right format.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>What Is PIM? Product Information Management Explained</title><link>https://pxmatlas.com/knowledge/what-is-pim/</link><guid>https://pxmatlas.com/knowledge/what-is-pim/</guid><description>Product information management (PIM) is software and practice for centralising, structuring, enriching and distributing product data, such as attributes, classifications, relations, translations and linked assets, to every sales and marketing channel. A PIM becomes the governed source of commercial product content between ERP or PLM and the channels.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>What Is Product Lifecycle Management (PLM)? Definition and Scope</title><link>https://pxmatlas.com/knowledge/what-is-plm/</link><guid>https://pxmatlas.com/knowledge/what-is-plm/</guid><description>Product lifecycle management (PLM) is the business approach and software that manage product definition information from concept through design, manufacturing, service and end of life. PLM systems hold CAD data, bills of materials, specifications, change records and compliance data, and they serve engineering, R&amp;D, quality and sourcing teams before product data flows to ERP and PIM.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item><item><title>What Is Product Experience Management (PXM)? A Clear Guide</title><link>https://pxmatlas.com/knowledge/what-is-product-experience-management/</link><guid>https://pxmatlas.com/knowledge/what-is-product-experience-management/</guid><description>Product experience management (PXM) is the discipline and software category that turns governed product data into channel-specific, context-aware product content. It builds on PIM by adding content tailoring, syndication, content analytics and feedback loops so every channel shows complete, compliant and persuasive product information.</description><pubDate>Sat, 17 Oct 2026 08:00:00 +0000</pubDate></item></channel></rss>
