01PlaybookSmall e-commerce and DTC teams

E-Commerce Catalog Ops

Automate product-catalog cleanup, classification, and launch with a stack that ingests messy supplier data, normalizes titles and taxonomies, and ships a storefront with an AI chat assistant in days.

01 / The problem

Where teams get stuck

  1. 01Supplier feeds arrive with inconsistent titles, descriptions, and categories.
  2. 02Manual tagging burns catalog-team hours and still ships errors.
  3. 03New storefronts take weeks to launch even without the catalog work.
02 / The outcome

What ships instead

  • 70% less manual tagging via multi-agent classification.
  • Consistent taxonomy across brands and locales.
  • Storefront live in days with AI chat grounded in the cleaned catalog.
03 / The stack

Products in this playbook

04 / By the numbers

Metrics teams report

01
Manual tagging reduction
~0%
02
Time-to-launch
days, not weeks
03
Locales supported
EN, NL, TR
05 / Questions

Frequently asked

Yes. Text Management ingests CSV/API feeds and runs multi-agent classification with confidence-based human review for low-certainty rows.

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