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November 25, 2025
Erika Muttigliengo

AI Shopping: waarom retailers nu hun productgegevens moeten aanpassen

AI-gestuurd winkelen neemt snel toe — en retailers met rommelige, verspreide productgegevens zullen achterop raken. Ontdek waarom gecentraliseerde, gevalideerde productinformatie de sleutel is tot succes in het tijdperk van agentic commerce, en hoe een PIM uw bedrijf PIM voorop te blijven lopen op het gebied van AI.

AI Shopping: waarom retailers nu hun productgegevens moeten aanpassen

Retail is undergoing its biggest shift since ecommerce began. We’re moving beyond the world of search and hope, where shoppers typed keywords, scrolled endlessly, compared manually, and just hoped the result was right.

Today’s reality?
AI-driven personal shopping.

AI agents already understand who the shopper is — their style, size, preferences, needs, sensitivities, and budget. This transforms the entire shopping journey into something deeply personal and almost fully automated.

From searching to being served

Retail is shifting toward a 100% self-service model, where AI handles the heavy lifting across the entire journey:

  • hyper-relevant product discovery
  • real-time comparisons
  • sizing and fit advice
  • alternative suggestions
  • location-based stock insights
  • return assistance
  • customer service

Shoppers aren’t browsing anymore — they’re simply being guided.

And in this new environment, retailers don’t win by adding more people.
They win by building smarter, connected systems.

The big challenge behind all this: disconnected data

This AI-powered future sounds exciting — but there’s a catch.
Most retailers want AI, but very few have the clean, connected data that makes it actually work.

In many companies, product information is still spread across isolated pockets:

  • details and specs in one system
  • images somewhere else
  • spreadsheets floating around teams
  • channel-specific content stuck inside tools that don’t sync

And when data is scattered, AI can’t see the full picture.
It can’t recommend accurately, it can’t personalize meaningfully, and it can’t act like the “smart shopping assistant” customers now expect.

Simply put:
Disconnected data = disconnected experiences.
And disconnected experiences limit AI — no matter how powerful the technology is.

Why product data is the real foundation of AI Commerce

AI doesn’t magically fix messy data.
It amplifies it.

If your product information is fragmented, incomplete, or inconsistent, every AI-driven experience becomes unreliable.

A Product Information Management (PIM) system solves this by turning product data into a centralized, validated, and connected source of truth.

Without PIM:

  • AI agents give generic, inaccurate advice
  • product comparisons fail
  • recommendations feel irrelevant
  • personalization breaks
  • automation becomes risky

With PIM:

  • product data becomes clean, structured, and always up-to-date
  • AI understands your products
  • every channel gets consistent information
  • your tech stack finally works together

It’s not about putting AI inside your PIM — it’s about making your PIM the engine that powers AI everywhere else.

Why companies must act now

Technology is moving too fast for businesses to “figure it out later.”
In the new AI-driven retail landscape, product data will be the deciding factor between:

brands that scale effortlessly, and brands that fall behind.

If your data is messy today, it will block:

  • ecommerce platform upgrades
  • ERP transitions
  • AI search and recommendations
  • composable commerce strategies
  • marketplace growth
  • AI content generation
  • omnichannel consistency

Every future investment depends on your ability to fix your data first.
It’s not just preparation — it’s survival.

How PIM prepares you for the AI Future

A PIM helps your team:

  • centralize all product information
  • validate and maintain data quality
  • enrich products with AI-relevant attributes
  • distribute clean data everywhere
  • scale content and channels without losing control

Once your data foundation is solid, you can plug into your favorite AI tools — or specialized solutions for content creation, translations, product copy, or enrichment — without chaos.

Wist je dat?

KatanaPIM connects directly with specialized AI tools, making it easy to generate and enrich product content using reliable, structured data — no extra hassle needed.

Ready for the next era of commerce?

Agentic commerce isn’t coming — it’s already here.
Retailers who act now will be ready. Those who wait risk being locked out by the speed of AI-driven change.

👉 Discover how a PIM prepares your business for the AI future — Try KatanaPIM.

Geschreven door Erika Muttigliengo

Marketingmanager

Belangrijkste opmerkingen

  • Retail is shifting from “search” to fully automated, AI-driven personal shopping.
  • AI agents can only perform well when product data is connected, accurate, and complete.
  • Disconnected systems and scattered data are the biggest blockers for AI-powered commerce.
  • A PIM provides the centralized, validated product data foundation that AI relies on.
  • Companies must act now — the pace of AI innovation is too fast to fix data later.
  • With a solid data foundation, businesses can confidently connect to AI tools for enrichment, personalization, and automation.

Leer hoe u volledige controle krijgt over uw productgegevens

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AI Shopping: waarom retailers nu hun productgegevens moeten aanpassen

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