In-season Reorder Advisor: what this AI agent does and how to use it
Spots in-season winners that will sell out before the season ends and sizes the repeat order. Who it's for, the questions it answers, the data it needs and how to switch it on.
Try the In-season Reorder Advisor live demo →
What it does
The In-season Reorder Advisor agent is the specialist for this job: spots in-season winners that will sell out before the season ends and sizes the repeat order.
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:
- "Which winners should we reorder this season?"
- "Repeat order for our top dresses"
- "What will sell out before the season ends?"
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
- 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, 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
- Safety Stock Optimiser: Suggests safety stock per SKU from demand variability and an assumed lead time and service level.
- Phantom Inventory Detector: Flags items showing stock in the system but not selling, so stores can recount them.
- Seasonal Build Planner: Plans pre-season stock builds by category from monthly sales patterns and current stock.
- New Store Opening Stock Plan: Builds an opening stock list for a new store from best sellers and category mix.
- Auto-replenishment Engine: Proposes replenishment orders from recent sales velocity and stock, for a buyer to approve.
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 In-season Reorder Advisor 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
Replenishment & forecasting
In-season Reorder AdvisorSpots in-season winners that will sell out before the season ends and sizes the repeat order.
Replenishment & forecasting
Safety Stock OptimiserSuggests safety stock per SKU from demand variability and an assumed lead time and service level.
Replenishment & forecasting
Phantom Inventory DetectorFlags items showing stock in the system but not selling, so stores can recount them.
Replenishment & forecasting
Seasonal Build PlannerPlans pre-season stock builds by category from monthly sales patterns and current stock.
Replenishment & forecasting
New Store Opening Stock PlanBuilds an opening stock list for a new store from best sellers and category mix.
Replenishment & forecasting
Auto-replenishment EngineProposes replenishment orders from recent sales velocity and stock, for a buyer to approve.
Replenishment & forecasting
Promotion ForecasterForecasts the uplift of a planned promotion from how past promotions performed.
Replenishment & forecasting
Gift Set Demand PlannerPlans festive gift and beauty demand from monthly sales patterns and current stock.
Replenishment & forecasting
Concession Stock VisibilityShows each brand its stock, sales and cover so brand partners replenish on time.
Replenishment & forecasting
Overstock ResolverFinds slow movers with too much stock and recommends markdown, transfer or promotion actions.
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Plans festive gift and beauty demand from monthly sales patterns and current stock. Who it's for, the questions it answers, the data it needs and how to switch it on.
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Flags items showing stock in the system but not selling, so stores can recount them. Who it's for, the questions it answers, the data it needs and how to switch it on.
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