Multi-currency Price Setter: what this AI agent does and how to use it
Turns a base price into local shelf prices per country with exchange rates, duties and local price endings. Who it's for, the questions it answers, the data it needs and how to switch it on.
Try the Multi-currency Price Setter live demo →
What it does
Merchandisers need numbers before opinions. These agents read your catalog and sales, explain what is and isn't working, and suggest actions. The Multi-currency Price Setter agent is the specialist for this job: turns a base price into local shelf prices per country with exchange rates, duties and local price endings.
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:
- "Set local prices for a $49.99 dress in our markets"
- "Price our top sneaker in INR, GBP and AED"
- "What should $120 be in Singapore dollars?"
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:
- Semantic product search with filters (price, colour, category)
- Store finder with live opening hours
- 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, Stores. 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
- Merchandising Copilot: Answers assortment and performance questions with numbers, then recommends actions.
- Best & Worst Sellers: Ranks SKUs and categories by revenue or units for any period and department.
- Assortment Gap Finder: Finds under-represented colours, price points or categories versus demand.
- Product Copywriter: Writes SEO-friendly titles, descriptions and bullet highlights from product data.
- Range Review Prep: Prepares a category range review: mix, sales, winners, losers and what to add or cut.
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 Multi-currency Price Setter 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
Merchandising & Pricing
Multi-currency Price SetterTurns a base price into local shelf prices per country with exchange rates, duties and local price endings.
Merchandising & Pricing
Merchandising CopilotAnswers assortment and performance questions with numbers, then recommends actions.
Merchandising & Pricing
Best & Worst SellersRanks SKUs and categories by revenue or units for any period and department.
Merchandising & Pricing
Assortment Gap FinderFinds under-represented colours, price points or categories versus demand.
Merchandising & Pricing
Product CopywriterWrites SEO-friendly titles, descriptions and bullet highlights from product data.
Merchandising & Pricing
Range Review PrepPrepares a category range review: mix, sales, winners, losers and what to add or cut.
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Size-curve OptimiserCompares sizes sold with sizes bought to suggest a better size curve for the next buy.
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Trend ScoutSpots what is accelerating in your own sales: categories, colours and brands growing fastest.
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Product Attribute EnricherSuggests missing attributes (colour, occasion, season, style) and better descriptions from product data.
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Range Rationalisation AdvisorIdentifies tail SKUs to delist using sales, stock and range overlap, with the revenue at stake.
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Festive Season Range PlannerPlans festive ranges (Ramadan, Diwali, Lunar New Year, Christmas) from category performance and catalogue depth.
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Accessory Attach PlannerFinds which accessories sell with each hero category and plans what to range beside it.
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Shade Range PlannerCompares shade (colour) sales with the shades stocked to plan the beauty range.
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Size Curve by RegionBuilds size curves per city so buys match local size demand.
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Store Clustering EngineGroups stores by what sells where, so ranges and space can be tailored for each cluster.
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Lookbook BuilderBuilds a themed lookbook of complete outfits from the current range, with prices and copy.
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Line Plan BuilderBuilds a seasonal line plan with option counts, price ladders and drops per category from sales and range data.
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Trend-to-Buy TranslatorTurns a trend into a buy plan: which categories, how many options, what depth and price points, checked against sales.
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Beauty Brand Partner EvaluatorEvaluates beauty brands to grow, keep or exit, from sales, growth, range productivity and returns.
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Brand Onboarding AssessorAssesses whether a new brand fits your range: price position, category gaps and overlap with current brands.
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