AI agents for merchandising & assortment

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

13 agents you can switch on today

Merchandising Copilot

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

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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?"
• "Which brands lead in Women's footwear?"

Best & Worst Sellers

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

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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"
• "Best-selling colours in the last 30 days"

Assortment Gap Finder

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

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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"
• "Which categories have too few products under $30?"

Product Copywriter

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

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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"
• "Write an Instagram caption for SKU 21979"
• "Rewrite the description of our best-selling handbag"

Range Review Prep

Prepares a category range review: mix, sales, winners, losers and what to add or cut.

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

Ask it, for example:

• "Prepare a range review for Women's dresses"
• "Range review for handbags"
• "Range review for Men's shirts"

Size-curve Optimiser

Compares sizes sold with sizes bought to suggest a better size curve for the next buy.

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Who it's for: Your team (console, API)
Data it needs: Orders, Order lines, Products
Tools it uses: read-only SQL over your retail data (sandboxed per workspace)

Ask it, for example:

• "What is our size curve for Women's tops?"
• "Which sizes sell best overall?"
• "Size split for Men's tshirts"

Trend Scout

Spots what is accelerating in your own sales: categories, colours and brands growing fastest.

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Who it's for: Your team (console, API)
Data it needs: Products, Orders, Order lines
Tools it uses: read-only SQL over your retail data (sandboxed per workspace); sales analytics by category, channel or period

Ask it, for example:

• "What's trending in the last 30 days vs the 30 before?"
• "Which colours are growing fastest?"
• "Which brands are rising?"

Product Attribute Enricher

Suggests missing attributes (colour, occasion, season, style) and better descriptions from product data.

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

Ask it, for example:

• "Which products are missing colour or season, and what should they be?"
• "Enrich the attributes of SKU 48466"
• "Which categories have the most missing attributes?"

Range Rationalisation Advisor

Identifies tail SKUs to delist using sales, stock and range overlap, with the revenue at stake.

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Who it's for: Your team (console, API)
Data it needs: Products, Order lines, Inventory
Tools it uses: read-only SQL over your retail data (sandboxed per workspace); sales analytics by category, channel or period

Ask it, for example:

• "Which SKUs should we delist in Women's tops?"
• "How many products sold nothing in 90 days?"
• "Tail SKUs in handbags with stock still on hand"

Festive Season Range Planner

Plans festive ranges (Ramadan, Diwali, Lunar New Year, Christmas) from category performance and catalogue depth.

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Who it's for: Your team (console, API)
Data it needs: Products, Order lines
Tools it uses: assortment and range analytics; sales analytics by category, channel or period; semantic product search with filters (price, colour, category)

Ask it, for example:

• "Plan our Christmas gifting range"
• "Range plan for Diwali in Women's"
• "Which categories should lead Lunar New Year?"

Accessory Attach Planner

Finds which accessories sell with each hero category and plans what to range beside it.

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

Ask it, for example:

• "What accessories sell with dresses?"
• "Attach rate of bags with shoes"
• "Which accessories should sit next to watches?"

Shade Range Planner

Compares shade (colour) sales with the shades stocked to plan the beauty range.

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

Ask it, for example:

• "Which lipstick shades sell best?"
• "Plan our nail polish shade range"
• "Which shades should we drop?"

Size Curve by Region

Builds size curves per city so buys match local size demand.

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Who it's for: Your team (console, API)
Data it needs: Orders, Order lines, Customers
Tools it uses: read-only SQL over your retail data (sandboxed per workspace)

Ask it, for example:

• "Size curve by city"
• "Which city buys more large sizes?"
• "Size split for our top 3 cities"

Coming next

• Trend scout (external): Watches social and competitor sites for emerging trends.
• Open-to-buy planner: Tracks budget left to spend per category and season.
• New product forecaster: Forecasts demand for new items from similar past products.
• Supplier scorecard: Rates suppliers on lead time
• Stationery Season Planner: Plans back-to-school stationery and gift ranges per store from school calendars and past sell-through.
• Store Clustering Engine: Groups stores by customer profile, climate and space to tailor ranges for each cluster.
• Planogram Generator: Generates planograms automatically from space, sales and adjacency rules for each store format.
• Trend to Buy Translator: Turns trend research into a buy plan with options, depth and price points per category.
• Line Plan Builder: Builds the seasonal line plan with options, price ladders and delivery drops per category.
• Chilled Planogram Builder: Builds planograms for chilled and frozen cases that respect temperature zones, shelf life and facings.
• Frontlist and Backlist Balancer: Balances new releases against backlist titles per store, using sales velocity and local interest.
• Seasonal Toy Range Planner: Plans holiday toy ranges and depth from pre-season signals, licences and last year's sell-through.
• Room Set Planner: Plans showroom room sets that showcase cross-category ranges and drive whole-room purchases.
• Limited Edition Allocator: Allocates scarce limited-edition pieces to stores and top clients fairly using history and wait lists.
• Concession Mix Optimiser: Evaluates concession and own-bought brand mix by floor and recommends space swaps on profitability.
• Team Kit Range Planner: Plans club, school and fan kit ranges by region and season around fixtures and launches.
• Cluster Planogram Planner: Creates planograms per convenience store cluster, such as office, residential or forecourt, from mission data.

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.