AI agents

AI agents for merchandising & assortment

4 live agents (Merchandising Copilot, Best & Worst Sellers, Assortment Gap Finder…) and 4 on the roadmap: what each does, the data it needs and the questions it answers.

7 Oct 2026 · 2 min read

Merchandisers need numbers before opinions. These agents read your catalog and sales, explain what is and isn't working, and suggest actions.

4 agents you can switch on today

Merchandising Copilot

Answers assortment and performance questions with numbers, then recommends actions.

Who it's for: Your team (console, API)
Data it needs: Products
Tools it uses: assortment and range analytics; sales analytics by category, channel or period; read-only SQL over your retail data (sandboxed per workspace); semantic product search with filters (price, colour, category)

Ask it, for example:

  • "What's our assortment mix by category for Women?"
  • "Which categories drove revenue in the last 90 days?"

Best & Worst Sellers

Ranks SKUs and categories by revenue or units for any period and department.

Who it's for: Your team (console, API)
Data it needs: Products, Orders, Order lines
Tools it uses: sales analytics by category, channel or period

Ask it, for example:

  • "Top 10 SKUs by revenue in the last 30 days"
  • "Worst-selling categories for Men"

Assortment Gap Finder

Finds under-represented colours, price points or categories versus demand.

Who it's for: Your team (console, API)
Data it needs: Products
Tools it uses: assortment and range analytics; read-only SQL over your retail data (sandboxed per workspace)

Ask it, for example:

  • "Which colours are under-represented in women's dresses?"
  • "Price-point gaps in handbags"

Product Copywriter

Writes SEO-friendly titles, descriptions and bullet highlights from product data.

Who it's for: Your team (console, API)
Data it needs: Products
Tools it uses: full product details; semantic product search with filters (price, colour, category)

Ask it, for example:

  • "Write PDP copy for the first lipstick in our catalog"

Coming next

  • Size-curve optimiser: Recommends size ratios per store from sales and returns.
  • Range review prep: Builds the pack for seasonal range reviews.
  • Trend scout: Matches social and search trends to catalog gaps.
  • Product attribute enricher: Fills missing attributes from images and text.

How to turn them on

  1. Load the data each agent needs (upload, API or, soon, a connector to your e-commerce platform).
  2. Open Agent catalog in the ServiceBuddy console: agents whose data is present show as ready.
  3. Install, add your own instructions, and test in the Playground.

#merchandising#ai agents

See it on your own catalog. Start free

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