Incomplete product data is what blocks listings, buries your team in manual work, and keeps products invisible to shoppers and AI search. Synaps fills the gaps — attributes, GTINs, categories, descriptions — with AI you can trust.
Missing colors, materials, dimensions, GTINs and category attributes are the number-one reason products can't be listed or found.
Dropship and multi-supplier catalogs arrive in different formats, languages and levels of completeness — normalizing it by hand doesn't scale.
Researching and filling attributes product-by-product is slow, error-prone, and never finished as catalogs keep growing.
Marketplaces and AI search engines rank on data completeness. Sparse attributes mean low visibility — even for products that are technically live.
Generates missing attributes — color, material, size, dimensions and more — validated against each marketplace's rules.
Crawls product pages and matches trusted product databases to source real values, not guesses.
Finds and validates barcodes so products clear marketplace identifier requirements.
Classifies each product into the correct marketplace category automatically.
Enriches and translates product data for cross-border catalogs and international marketplaces.
Every enriched value is checked against marketplace requirements before it's used — sourced and verified, not free-form guessing.
Import supplier feeds, store data or flat files — in whatever format they arrive.
Synaps audits every product and pinpoints exactly which required fields are missing or non-compliant.
The engine sources and generates the missing values, then validates them against each marketplace's rules.
Send enriched, marketplace-ready product data to your channels, PIM or store.
AI catalog enrichment for marketplace listings is the process of using AI to complete and correct your product data so every listing meets a marketplace's requirements. Instead of manually researching missing attributes, Synaps audits your catalog, pinpoints exactly what each marketplace requires, and fills the gaps — attributes, GTINs, categories, descriptions and translations — validating every value before it's published.
The result is more products that qualify to go live, higher publish rates, and listings that perform better on both marketplaces and AI search surfaces like Google, Perplexity and ChatGPT.
Once your data is enriched, publish and sync it across 20+ marketplaces from one place.
Push your enriched catalog to every marketplace in a single shot, optimized per channel.
What causes marketplace rejections, and how enriched data clears them.
Why every Mirakl marketplace needs its own taxonomy and attribute mapping.
What to do when the file your supplier sends is half empty.