Visual Merchandising Guide: what this AI agent does and how to use it
Suggests what to put in windows and front tables from best sellers, stock and current promotions. Who it's for, the questions it answers, the data it needs and how to switch it on.
Try the Visual Merchandising Guide live demo →
What it does
Store associates need fast, practical answers on the shop floor: stock, policies and what to show a returning customer. The Visual Merchandising Guide agent is the specialist for this job: suggests what to put in windows and front tables from best sellers, stock and current promotions.
Who it's for
Your team. It runs in the console for your staff and through the REST API. It is a team agent, so it is never exposed to shoppers.
Questions it answers
Ask it in any of our languages, for example:
- "What should we feature on the front table this week?"
- "Window ideas for Women based on what sells"
- "Which products should go in a summer window?"
The live demo shows these as sample prompts in your language, on a fictional store's data.
How it works
- It understands the question in the language it was written in, even when your catalog is in another language.
- It looks things up with tools, never from memory:
- Sales analytics by category, channel or period
- Stock-out risk and days of cover
- Semantic product search with filters (price, colour, category)
- Read-only sql over your retail data (sandboxed per workspace)
- It answers from your data, in your brand voice and currency, and shows which tools it used.
- Rules stay in code. Prices, eligibility and permissions come from your data and settings; the agent explains them and can't invent them. Why this matters.
The data it needs
Products, Orders, Order lines, Inventory. As soon as these tables are loaded, the agent is ready to switch on. Files can use your own column names: they're mapped automatically. See Connect your data.
Works well with
- Store Staff Copilot: Store associates ask about products, policies, stock and hours from the shop floor.
- Clienteling Assistant: Prepares a client brief (tier, past orders) and suggests products to show a returning customer.
- Stock Count Assistant: Plans cycle counts by location and value, prioritising fast sellers and suspicious stock.
Your team can use them side by side in the console, or call each one through the API.
Turn it on
- Load the data it needs.
- Install Visual Merchandising Guide from the Agent catalog and add your own instructions (guide).
- Test it in the Playground, in every language you serve.
- Invite your team or call it from your own systems.
New to ServiceBuddy? Start with how onboarding works.
Try it, and related AI Agent Buddies
Store operations
Visual Merchandising GuideSuggests what to put in windows and front tables from best sellers, stock and current promotions.
Store operations
Store Staff CopilotStore associates ask about products, policies, stock and hours from the shop floor.
Store operations
Clienteling AssistantPrepares a client brief (tier, past orders) and suggests products to show a returning customer.
Store operations
Stock Count AssistantPlans cycle counts by location and value, prioritising fast sellers and suspicious stock.
More about Store operations
Stock Count Assistant: what this AI agent does and how to use it
Plans cycle counts by location and value, prioritising fast sellers and suspicious stock. Who it's for, the questions it answers, the data it needs and how to switch it …
Store Staff Copilot: what this AI agent does and how to use it
Store associates ask about products, policies, stock and hours from the shop floor. Who it's for, the questions it answers, the data it needs and how to switch it on.
Clienteling Assistant: what this AI agent does and how to use it
Prepares a client brief (tier, past orders) and suggests products to show a returning customer. Who it's for, the questions it answers, the data it needs and how to swit…
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