How AI Is Transforming Product Data Management for E-commerce SMEs

Are your product listings costing you sales?

For many Belgian SMEs selling online, managing a product catalogue is a constant headache. Incomplete descriptions, poorly optimised titles, missing attributes — these issues drive customers away and undermine your organic search visibility.

The good news: artificial intelligence now makes it possible to automate much of this work, often producing results that exceed what a human team could achieve manually at scale.

The real problem behind poorly managed catalogues

A quality e-commerce catalogue is more than slapping a photo and a price on a page. Every product listing needs to:

• Include a clear, persuasive description
• Target the right keywords to appear in search results
• Fill in all technical attributes required by marketplaces (Amazon, Bol.com, etc.)
• Stay consistent with the rest of your catalogue

When you have 500, 2,000 or 10,000 SKUs, doing all of this manually becomes impossible. The result: rushed listings, lost sales, and product returns caused by incorrect or missing information.

What AI can actually do

Generative AI tools now handle these tasks at scale — automatically and consistently.

Automated description writing

From a product title, manufacturer reference, or a simple list of attributes, AI can generate a complete commercial description tailored to your brand voice. In seconds, where a human copywriter would need several minutes per listing.

Intelligent categorisation

AI analyses your products and automatically classifies them into the right categories — including those imposed by marketplaces with their own complex taxonomies. No more miscategorisation errors that bury your products in search results.

Filling in missing attributes

One of the most common catalogue problems: incomplete technical attributes (material, dimensions, compatibility...). AI can extract this information from manufacturer datasheets, PDFs, or product URLs, then structure it automatically.

SEO optimisation

AI can enrich your titles and descriptions with the most relevant search terms for your market, drawing on real purchasing behaviour data to improve your organic visibility.

A real example: a Belgian distributor with 3,000 SKUs

One of our clients — a Belgian sweets distributor — had a catalogue of 3,000 products, 40% of which had incomplete or missing descriptions. The update work was estimated at several months for a full-time employee.

With an AI enrichment pipeline set up in a matter of weeks:

• 95% of listings were enriched in under 48 hours
• Click-through rates on product pages increased by 28%
• Returns linked to incorrect product information dropped by 35%

This is not magic — it is well-configured intelligent automation.

How to build an AI enrichment pipeline

1. Audit your existing catalogue

Before diving in, you need to know where you stand. How many listings are incomplete? Which attributes are consistently missing? Which categories are causing the most problems?

2. Define your quality standards

AI produces what you ask it to. You need to define clearly: how long should descriptions be? What tone of voice? Which attributes are mandatory? These rules become the brief for your model.

3. Choose the right technical approach

Depending on your situation, several options exist:

• Generative AI APIs (GPT-4, Claude, Gemini) for writing and analysis
• Specialist e-commerce tools (Akeneo, Plytix with AI modules)
• Custom development for specific needs or integration with your existing ERP/PIM

4. Keep a human validation step

AI is not infallible. A quick spot-checking process catches errors before publication. Over time, you can refine your prompts and reduce the need for manual correction.

5. Measure and iterate

Track key metrics: conversion rate by category, return rate, SEO performance. This data lets you continuously improve catalogue quality.

Why now is the right time to act

Marketplaces like Amazon and Bol.com are increasingly strict about listing quality. Poorly filled catalogues are penalised in search rankings — sometimes to the point of listing removal.

Meanwhile, your competitors are starting to use these technologies. Waiting means falling behind.

Working with a specialist consultant

Setting up an AI enrichment pipeline is not trivial. You need to choose the right tools, configure them properly, integrate them with your existing systems, and train your teams.

At AIves Consulting, we guide Belgian SMEs through this process, from initial audit to full deployment. We have particular expertise in e-commerce catalogue enrichment and integration with the major marketplaces active in Belgium.

If your product catalogue is causing you problems, get in touch — a first conversation is often enough to identify quick wins and estimate the return on investment.