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Deep expertise in your category

Amiel Digital is trained on billions of signals from real catalogs and shopper search queries across key verticals.

Catalog team reviewing product data together at a sunlit desk
Built vertical-first

A separate brain for every category

Generic AI flattens nuance. Amiel runs vertical-specific models tuned on retail-grade datasets — apparel reads like a stylist, beauty like a chemist, home like an interior designer.

Fashion & apparel

Fashion & apparel

+12% search-to-cart

Styles, silhouettes, occasions, trends — the real language shoppers use to search.

  • Silhouette, neckline, sleeve, fit
  • Occasion & trend tagging
  • Color family + shade nuance
  • Returns-aware sizing language
Beauty

Beauty

+18% PDP conversion

Skin type, shades, effects, ingredients — attributes deeper than any product feed.

  • Skin type & concern
  • Ingredient & free-from claims
  • Shade family + undertone
  • Finish, coverage, longevity
Home goods

Home goods

+9% AOV on furniture

Materials, interior styles, room sizes — we help shoppers find the perfect match.

  • Room, style, mood
  • Material & care
  • Dimensions & size class
  • Color story across collections
Marketplaces

Marketplaces

+24% feed approval rate

Normalize third-party seller attributes into one consistent catalog language.

  • Third-party seller normalization
  • Required-field auto-fill
  • Category & taxonomy mapping
  • Quality & disapproval rescue
AI attribute enrichment panel showing color, material and occasion with confidence scores
Same model, your taxonomy

We map to your attribute schema

Amiel's 25k+ taxonomy is the starting point, not the constraint. We map every value to the names and codes your PIM, search index and feeds already speak.