AI-powered product attributes
Amiel analyses product images, descriptions and clickstream signals, then enriches every record with the attributes shoppers actually search for — even the ones they don't yet know they want.
The Amiel platform
One layer of intelligence under every channel
A unified retail brain that ingests your catalog, learns from images, reviews and search logs, and emits structured, shopper-friendly metadata to every surface that touches a customer.
+ Vision + language+ Live trend layer+ Brand voice presets+ SOC 2+ SSO+ RBAC
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25k+
Customer-oriented attribute taxonomy
30M+
Items tagged every year
3B+
Training data points
Trends, always-on
Models are continuously updated with the latest micro-trends, occasions and style cues, so your catalogue reflects the zeitgeist as it happens instead of three seasons late.
Synonyms and shopper language
Shoppers use a hundred different words for the same item. Amiel's synonyms layer folds that variety into your metadata so no relevant query goes unmatched.
Built for retail, not generic AI
Retail data, retail taxonomy, retail experts in the loop. Models are specialised per vertical — apparel, beauty, home, grocery — so output sounds like a category expert, not a chatbot.
Inside the model
From a single image, hundreds of structured attributes
Amiel reads the photograph, the copy and the shopper signals together — then commits a confident, source-attributed attribute set back to your catalog. Every value comes with a confidence score and an audit trail.
- Color and material grounded in pixels
- Occasion and trend grounded in search intent
- Silhouette and fit grounded in returns data
- Every value reversible from the dashboard
A stack designed for retail at scale
Six purpose-built layers, one API contract. Replace any of them later — we'll stay out of your way.
01
Ingestion
Connectors for Shopify, BigCommerce, commercetools, Akeneo and any CSV/feed source.
02
Vision + language
Specialized models that read images, descriptions and reviews together — not in isolation.
03
Retail taxonomy
A living 25k+ attribute graph maintained by category experts, not crowd workers.
04
Intent layer
Continuously trained on real shopper queries to bridge brand copy and customer language.
05
Approvals & governance
Brand voice presets, banned-term controls and human-in-the-loop sign-off.
06
Syndication APIs
Push enriched records to search, ads, marketplaces and AI answer engines.
Living taxonomy
Category expertise, encoded
25,000+ attributes tuned vertical by vertical, kept fresh by category experts and trend signals.
Apparel
SilhouetteNecklineSleeveLengthFitOccasionTrendCare
Beauty
Skin typeConcernFinishIngredientShade familyToneCoverage
Home
MaterialStyleRoomColor familySize classCareMood
Grocery
DietAllergenOriginCertificationPack sizeOccasion
Operations
One workspace for the whole catalog
Track enrichment progress, approve rewrites in bulk and watch performance flow back into the model.
Up to $1M in annual incremental sales lift
One enriched data layer, syndicated to search, ads, PDP and marketplaces — with brand voice, banned terms and human-in-the-loop approvals built in. SOC 2, SSO and role-based access ship by default.