· 4 min read
How to choose a PIM: ten questions to ask before you sign
A neutral guide to choosing a PIM: what to ask about data, channels, team, suppliers, integrations, AI, price and exit, and how to test it with your catalog.
Author
Founder of Bruxel.AI
In 2014 he founded Wolf Sellers, an e-commerce agency in Mexico City, and later Bruxel.AI, the AI-powered PIM.
· 4 min read
A neutral guide to choosing a PIM: what to ask about data, channels, team, suppliers, integrations, AI, price and exit, and how to test it with your catalog.
· 3 min read
The kinds of PIM on the market and what each vendor publishes about its editions and pricing on its own site, with date and source, so you can compare them.
· 3 min read
AI already writes descriptions, fills attributes, proposes categories and translates. Where it pays off, where it fails and how to keep human review.
· 3 min read
AI can already put your product in a scene or in a model's hands, but it does not replace the real photo. What works, what fails and how to disclose it.
· 3 min read
Alt text makes your product images useful to people who cannot see them and to search engines. What to say, what to avoid and how to write it at scale.
· 3 min read
When several teams touch the same product record, nobody knows which step each product is in. How to design an approval workflow with lanes, rules and a board.
· 3 min read
With thousands of product pages and several writers, brand voice gets lost. How to define it in a few rules and apply it across the whole catalog.
· 3 min read
A catalog-wide completeness percentage says little. How to measure completeness per product and per channel, what to do with the gap list and how to prioritize.
· 3 min read
Moving your catalog from spreadsheets to a PIM does not require cleaning it first. How to prepare the file and what to check on the first load.
· 3 min read
More and more buyers ask an AI assistant before they search. What GEO is, what Google says about its AI features and what changes in your product pages.
· 3 min read
The ERP runs operations, the DAM stores files and the PIM describes the product so it can be sold. What each one does, where they overlap and how they connect.
· 3 min read
PIMs are priced per user, by catalog size or by usage. How to compare the three models, which costs the quote leaves out and how to do the math.
· 3 min read
Attributes turn a product record into data you can filter, compare and send to every channel. What they are, how to group them and how to complete them.
· 3 min read
A badly captured product field does not show on a dashboard, it shows in returns. Seven common catalog mistakes and how to keep them from coming back.
· 3 min read
A good description answers what the buyer asks, with facts that can be checked. How to write it for your store, for Google and for AI assistants alike.
· 3 min read
Each channel wants the catalog with its own columns, order and rules. What a feed is, what usually fails and how to build one per channel from the same record.
· 3 min read
Structured data tells Google your product's name, brand, price and availability. What to mark up, how to validate it and which mistakes to avoid.
· 3 min read
A good taxonomy helps buyers find products and search engines understand your catalog. How to design the category tree and connect it with each channel.
· 3 min read
A T-shirt in five sizes and three colors is not fifteen separate products. How to model variants with a parent product and axes, and what channels ask for.
· 3 min read
Product onboarding with suppliers is often a back-and-forth of spreadsheets. How to replace it with a form that follows your rules and a review queue.
· 3 min read
Selling in another language is not word-for-word translation. What gets translated, what is copied as is and how to keep languages in sync.
· 4 min read
A PIM keeps all your product information in one place so you can sell it on every channel. What it stores, when you need one and what to look for when choosing.
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