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Case Studies

7 Essential Features to Look for in a PIM Solution

Looking for a PIM solution in 2026? Learn the 7 essential features that separate modern, future-proof PIM platforms from legacy tools — including AI-driven enrichment, data governance, omnichannel syndication, and analytics that turn product data into a competitive advantage

Preparing product structure for PIM and AI

PIM and AI don’t fix product data—they amplify it. If your taxonomy, attributes, variants, and governance aren’t coherent, implementations slow down and AI output becomes unreliable. Here’s what product structure must look like to support PIM operations and AI consumption.

PIM for tools and hardware merchants and distributors

Tools and hardware merchants and distributors manage thousands of SKUs with complex specifications, variants, and compliance requirements. This article explains why PIM is essential for organising large catalogues, improving accuracy, and scaling across B2B, D2C, and marketplace channels.

Data enrichment vs data cleaning

Data cleaning and data enrichment get lumped together, but they do different jobs. Cleaning makes your product records accurate, consistent, and unique. Enrichment adds the detail, content and context that improve search, conversion, and customer confidence. Here’s how to sequence both for measurable results.

Cleaning up legacy data: Modernising your old product catalogue

Legacy product data often lives in messy spreadsheets and ageing ERPs, slowing launches, and weakening search. This article outlines a pragmatic, phased approach to modernising your catalogue: define the future model, audit, and prioritise, cleanse and de-duplicate, enrich for modern channels, then lock in governance so the problem doesn’t creep back.

AI features to look for when choosing a PIM solution

AI is now a practical must-have in PIM. This guide shows the features that genuinely save time and lift product quality: intelligent supplier data cleansing, GenAI content with brand controls, proactive validation, asset intelligence, semantic search, and personalisation supported by digital shelf insights. Use our checklist to avoid AI-washing.