Line Plan Builder: what this AI agent does and how to use it
Builds a seasonal line plan with option counts, price ladders and drops per category from sales and range data. Who it's for, the questions it answers, the data it needs and how to switch it on.
Try the Line Plan Builder 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 Line Plan Builder agent is the specialist for this job: builds a seasonal line plan with option counts, price ladders and drops per category from sales and range data.
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:
- "Build a line plan for women's dresses next season"
- "Line plan for men's shoes with price ladders"
- "How many options should we carry in tops?"
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
- Assortment and range analytics
- 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, Order lines. 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 Line Plan Builder 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
Line Plan BuilderBuilds a seasonal line plan with option counts, price ladders and drops per category from sales and range data.
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.
Merchandising & Pricing
Size-curve OptimiserCompares sizes sold with sizes bought to suggest a better size curve for the next buy.
Merchandising & Pricing
Trend ScoutSpots what is accelerating in your own sales: categories, colours and brands growing fastest.
Merchandising & Pricing
Product Attribute EnricherSuggests missing attributes (colour, occasion, season, style) and better descriptions from product data.
Merchandising & Pricing
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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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.
Merchandising & Pricing
Brand Onboarding AssessorAssesses whether a new brand fits your range: price position, category gaps and overlap with current brands.
Merchandising & Pricing
Multi-currency Price SetterTurns a base price into local shelf prices per country with exchange rates, duties and local price endings.
More about Merchandising & assortment
Trend-to-Buy Translator: what this AI agent does and how to use it
Turns a trend into a buy plan: which categories, how many options, what depth and price points, checked against sales. Who it's for, the questions it answers, the data i…
Beauty Brand Partner Evaluator: what this AI agent does and how to use it
Evaluates beauty brands to grow, keep or exit, from sales, growth, range productivity and returns. Who it's for, the questions it answers, the data it needs and how to s…
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Assesses whether a new brand fits your range: price position, category gaps and overlap with current brands. Who it's for, the questions it answers, the data it needs an…
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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…
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Groups stores by what sells where, so ranges and space can be tailored for each cluster. Who it's for, the questions it answers, the data it needs and how to switch it o…
Lookbook Builder: what this AI agent does and how to use it
Builds a themed lookbook of complete outfits from the current range, with prices and copy. Who it's for, the questions it answers, the data it needs and how to switch it…
Accessory Attach Planner: what this AI agent does and how to use it
Finds which accessories sell with each hero category and plans what to range beside it. Who it's for, the questions it answers, the data it needs and how to switch it on.
Shade Range Planner: what this AI agent does and how to use it
Compares shade (colour) sales with the shades stocked to plan the beauty range. Who it's for, the questions it answers, the data it needs and how to switch it on.
Size Curve by Region: what this AI agent does and how to use it
Builds size curves per city so buys match local size demand. Who it's for, the questions it answers, the data it needs and how to switch it on.
Festive Season Range Planner: what this AI agent does and how to use it
Plans festive ranges (Ramadan, Diwali, Lunar New Year, Christmas) from category performance and catalogue depth. Who it's for, the questions it answers, the data it need…
Range Rationalisation Advisor: what this AI agent does and how to use it
Identifies tail SKUs to delist using sales, stock and range overlap, with the revenue at stake. Who it's for, the questions it answers, the data it needs and how to swit…
Range Review Prep: what this AI agent does and how to use it
Prepares a category range review: mix, sales, winners, losers and what to add or cut. Who it's for, the questions it answers, the data it needs and how to switch it on.
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