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The retail decisioning layer

One system decides what each shopper sees. Most retailers run four or five separate tools.

Search in one tool, recommendations in another, pricing in a third, ads bolted on top — nobody owns the order products appear in, and the margin leaks between them. Particular Audience replaces that patchwork with a single decision: a Unified Decision Engine that scores relevance, inventory, margin and sponsored demand in one pass, on every surface, including the AI assistants now doing the shopping.

DTC boho fashion label (anonymized) — Limited drops, fanatical fans, bigger baskets | Particular Audience

Multi-modal recommendations merged similar-item discovery with cross-sell and style buys on a direct-to-consumer own-brand range.

Limited drops, fanatical fans, bigger baskets

Multi-modal recommendations merged similar-item discovery with cross-sell and style buys on a direct-to-consumer own-brand range.

  • +5.7% Average order value uplift
  • +12.3% Units per transaction uplift
  • 16.7% Click through rate

Releases are limited and the fan base is fanatical, so similar-item discovery carries enduring value long after a drop sells through.

Carousels combined cross-sell with style buys, lifting units per transaction more than order value alone — the signature of a discovery gain rather than a price gain.