Blog
What we learn on real catalogs, written so business and technical readers both understand it: data models, identifiers, standards like GS1 and ETIM, AI enrichment and governance. No vendor jargon. Each article starts from a problem we met on a project and ends with what we would do again.
Resources
Everything you have to know is here
PXM vs PIM: What Is the Difference and Which Do You Need?
A plain definition of each, how they fit together, and a decision table for multi-channel brands
What Is a PIM System? How It Works, With Real Examples
A plain-English guide to product information management: what the system does, how product data moves through it, and what it looks like in four real catalogs
PIM Architecture: Where the PIM Sits Between ERP, DAM and Channels
The reference flow, who owns which data, integration patterns and the data model layers, with the mistakes I see most in real catalogs
PIM Cost and ROI: What Really Drives Total Cost of Ownership
The ten cost lines of a PIM, why the license misleads budgets, and how to build an ROI case from your own numbers
Open-Source vs SaaS PIM: How to Decide
What each model means, what you take on, and which vendors offer which, from their own pages
Product Catalog Management: What It Covers and When You Need a PIM
Structure, taxonomy, attributes, content and channels, and the tools that manage them at each stage
PIM for Distributors: What a B2B Catalog Really Needs
Supplier data, units, packaging levels, ETIM and GTIN, ERP ownership: what a wholesale catalog asks of a PIM, and what to test before you choose one
Product Data Governance: Roles, Rules and a Framework That Holds
Who owns each attribute, which rules apply, and how to start small enough that it lasts
How to Choose a PIM: A Vendor-Neutral Comparison
A criteria-first way to compare PIM software, written by an implementer with no license to sell
Product Taxonomy: A Practical Guide to Design and Mapping
Design it for the shopper, map it to the channels.
ETIM Classification: A Shared Language, Not a Model
What ETIM is, how it is built, and why it belongs in your exchange layer, not in your shopper navigation.
How to Manage a PIM Project Without Losing Control
PIM projects fail not because of the tool, but because of how they're managed. How to keep control from kickoff to go-live: scope gates, RACI and stakeholder alignment.
Supplier Data: Where PIM Projects Fail Before They Start
Why Your Products Don't Appear in AI Search Results (And What to Fix)
Missing from ChatGPT, Perplexity and Google AI Overviews? The cause is usually product data, not SEO tags.
Why EU Sustainability Rules Are a Product Data Architecture Problem
ESPR, the Empowering Consumers Directive and PPWR all land in the same place: your product data.
How Long Does a PIM Migration Take? Timeline by Phase
PIM Data Migration Checklist: From Audit to Go-Live
Vague Specifications: The Most Expensive Document in IT
Vague specifications are the silent killer of IT projects. Here is what they cost and how to avoid them.
AI Without Data Governance Is Noise
Governance precedes deployment, not follows it. Learn why data governance is non-negotiable for AI ROI.
AI and the CDO: Questions to Ask Before You Buy
Before your organization buys AI, your Chief Data Officer needs to ask the right questions about governance, data quality, vendor fit, implementation risk, and team readiness for AI adoption.
Technical Debt Doesn't Live in IT. It Lives in the P&L.
Technical debt taxes developer productivity, slows feature delivery and shows up in the P&L. Here is how to measure it and when to pay it down.
E-commerce Replatforming: The Risks Nobody Puts in the Project Plan
Replatforming looks simple on a roadmap. It isn't. Here are the risks that most often push projects over time and over budget.
ERP and WMS Integration Problems: Why Projects Fail
ERP and WMS systems don't talk. When they don't, you lose inventory accuracy, miss demand signals, and debug in production.
Headless Commerce: Who It's Actually For
Headless is powerful but expensive. We walk through when it makes sense, and when traditional platforms deliver a better return.
MACH vs Monolith: Total Cost of Ownership Analysis
MACH does not automatically cost less. Over ten years, staffing and integration decide the total cost of ownership. Here is how to model it.
Why PIM Projects Fail and How to Scope One That Won't
Why E-Commerce Transformation Projects Fail: 5 Structural Causes
Most e-commerce transformations that go wrong share the same five structural failures. Here is how to spot them early and how to avoid them.
PIM vs Spreadsheets: When Excel Becomes a Liability
PIM vs MDM: Key Differences and When You Need Both
PIM and MDM are often confused. Here's what each does, when you actually need both, and how to integrate them without chaos.
How to Brief a PIM Vendor Without Getting Burned
Master PIM vendor briefing with our step-by-step guide. Learn what specifications to nail down, red flags to watch, and how to avoid costly documentation mistakes.
PIM Data Migration: Process, Risks and How to Prepare
How to Choose a PIM Consultant: Criteria, Questions and Red Flags
A buyer's guide: what to check, what to ask in the first call, and what a first engagement and a PIM audit should deliver.
The Complete Guide to PIM Implementation for Enterprise
A practical guide to enterprise PIM implementation: the steps, the team, a realistic timeline, the common challenges and how to measure ROI.
Bad Product Data Is a Customer Problem First
Doctor Project started with one goal: make product data clear, structured and useful. Writing down what worked, what broke and how we fixed it is part of that work. If one of these problems looks like yours, we can talk it through.
Why Doctor Project exists
