Type a product category. Get a complete attribute schema — required fields, data types, accepted values — in under two minutes. Then reuse, extend, and refine as your catalogue grows.
Defining what to collect has always been the step everyone avoids. AI Schema Builder removes the blockers — workshops, spreadsheets, and six-week discovery projects.
Type a category name. AI generates a complete attribute schema — field names, data types, units, and accepted values — drawn from 50,000+ industry products.
Common attributes like Brand, Voltage, and Weight are shared across categories. Change the definition once and it updates everywhere — no schema drift.
Set accepted values, units, required fields, and format constraints per attribute. Enforced at onboarding, import, and enrichment — before bad data gets in.
The traditional approach to taxonomy design involves stakeholder workshops, spreadsheet templates, and months of iteration before a single product is onboarded. AI Schema Builder generates a complete, best-practice schema for any product category instantly — then you refine it, not build it from scratch.
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In most PIM setups, the same attribute exists twelve times with twelve different names, units, and accepted values. SKU Launch uses a shared attribute library — one definition per concept, reused across every category that needs it.
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AI generates the copy. Your team reviews it. SKU Launch never auto-publishes. Every piece of generated content sits in a review queue until someone on your team approves, edits, or rejects it.
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Enrichment & Content is one of three pillars.
Book 30 minutes. We'll generate a schema for your product categories live — and show you how it connects to onboarding and enrichment.
Product data enrichment that actually gets done — so your product pages convert, your search works, and your team stops living in spreadsheets.
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