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Use Case
Markdown Optimisation
Optimise depth and timing of markdowns to clear inventory while protecting margin.
Value chainMerchandisingObjectiveImprove MarginAI typeModelKPITerminal stock −18%Value£280KFeasibilityMedium
Dependencies
Pricing, Stock, Sell-through curves
Feasibility
Medium — needs targeted data & integration uplift
Recommendation
🚀 Future — after dynamic pricing live
AI deployment flow
How signal turns into outcome for this use case.
Insight
Clear inventory at the right time, protecting margin
Business Objective
Improve Margin
Data Required
Pricing, Inventory, Sales, Promotion
AI
Model — Markdown Optimisation
Decision
KPI: Terminal stock −18%
Action
PIM, POS, Ecom
Outcome
£280K value
Business outcomes
- Primary KPITerminal stock −18%
- Estimated annual value£280K
- Strategic objectiveImprove Margin
- Value chain stageMerchandising
Type of AI
ModelPredictive or generative model that scores, forecasts or generates content.
Action surfaces
PIM, POS, Ecom
Data sources required
Unified domains powering this use case via Xfuze.
Pricing
Pricing & PromotionPrice lists, promotions, markdowns, competitor prices and elasticity by SKU and channel.
Typical sources
ERPPricing toolCompetitor APIs
Inventory
InventoryReal-time stock by SKU, location and state — on-hand, in-transit, reserved, damaged.
Typical sources
WMSERPPOS3PLRFID
Sales
Sales & CommerceEvery transaction line across stores, web, marketplace and wholesale — the canonical ledger.
Typical sources
POSEcommerceMarketplacesOMS
Promotion
Pricing & PromotionOffer mechanics, coupon codes, allocations and uplift measurement.
Typical sources
Promo enginePOSEcommerceESP
Related use cases
Same value chain or business objective.