Practical buyer guides and how-tos: choosing a PIM, evaluating enrichment vendors, build vs buy, fixing catalogs, and winning AI search.
A practitioner's framework for deciding whether to build product data enrichment in-house or buy it. Real cost models, criteria, hidden traps, and a decision checklist.
How to Build a Product Taxonomy That ScalesA practitioner's guide to building a product taxonomy that survives growth: structure rules, attributes, standards (UNSPSC, ETIM, GS1 GPC), governance, channel mapping, and migration.
How to Choose a PIM (Product Information Management System)A practical, vendor-neutral guide to choosing a PIM for distributors, retailers, brands, and manufacturers — the real criteria, evaluation steps, pricing models, and pitfalls.
How to Choose a Product Content Syndication PlatformA practical, vendor-neutral guide to choosing product content syndication software: connector coverage, channel-spec mapping, GDSN, the feedback loop, pricing traps, and a buyer's checklist.
How to Choose a Product Data Enrichment VendorA practitioner's guide to evaluating product data enrichment vendors for B2B distributors, retailers, and manufacturers: criteria, scoring, pitfalls, and a runnable evaluation plan.
How to Enrich Product Data at Scale (100,000+ SKUs)A practitioner's guide to enriching 100,000+ SKUs: define a schema, prioritize the catalog, automate extraction, verify against a gold set, and write back to your source of truth.
How to Fix Miscategorized SKUs Across a Large CatalogA practitioner's playbook for finding and fixing miscategorized SKUs at scale: how to detect bad categories, build a golden taxonomy, classify in bulk, validate, and write back.
How to Get Your Products Cited by AI Search (ChatGPT, Perplexity, Google AI)A practitioner's guide for B2B distributors, brands, and manufacturers: how AI search picks products to cite, and the exact steps to become the answer.
How to Measure Product Data QualityA practitioner's guide to measuring product data quality at B2B distributors, retailers, and manufacturers: the six dimensions, exact formulas, sampling, and a weighted scorecard you can run this quarter.
How to Migrate From One PIM to Another Without Breaking Your CatalogA practitioner's playbook for migrating from one PIM to another: data-model mapping, cutover strategies, validation, rollback, and the failure modes that wreck B2B catalogs.
How to Prepare Your Catalog for AI-Powered Search and Agentic CheckoutA practitioner's guide for distributors, retailers, and manufacturers: the exact catalog data work that makes your SKUs discoverable by answer engines and transactable by AI agents.
How to Structure Product Attributes and Attribute ValuesA practitioner's guide to structuring product attributes and values for B2B catalogs: data model, taxonomy, controlled vocabularies, units, naming, and governance — with examples and pitfalls.
How to Write B2B Product Descriptions That ConvertA practitioner's guide to writing B2B product descriptions that convert: structure, specs, buyer signals, search and AEO, before/after examples, pitfalls, and a copy-paste checklist.
Offshore data entry vs automated enrichment: how to decideA practitioner's guide for B2B distributors, retailers, and manufacturers: real cost math, accuracy and throughput tradeoffs, when offshore wins, and a decision framework.
PIM RFP Checklist: Questions to Ask Every VendorA practitioner's PIM RFP checklist: the exact questions to ask vendors on data modeling, syndication, integration, governance, AI, pricing, and TCO — plus the demo scenarios that expose weak answers.
Product Data Governance: Who Owns What, and How to Keep It CleanA practitioner's guide to product data governance for B2B distributors, retailers, and manufacturers: ownership maps, golden records, quality metrics, and a cadence that keeps the catalog clean.