Machine-readable catalog
Structured product data, schema, and clear answers so assistants describe and recommend you correctly.
RETAIL AND COMMERCE
AI for retail and commerce
Half of buyers now start in an AI rather than a search box. Being found means being readable by machines, and converting means reading your own orders faster than a person can.
What makes this hard
- 01Catalog copy is written for browsing, so an AI summarizing your category skips you.
- 02Onboarding a supplier's catalog takes weeks of manual data work.
- 03Orders arrive and nobody knows which ones were the start of something bigger.
Where agents earn their seat
Catalog onboarding at volume
Spec validation, content generation, and image QA that compress time-to-market on large SKU counts.
Order signal
Every order read for what it is worth, with the ones deserving a call put in front of a rep with the reason attached.
The constraint we design around
Nothing may break the buying path. Changes ship behind flags, catalog work is reversible, and anything customer-facing is measured against the existing conversion baseline before it stays.
