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Use Case
Personalised Product Recommendations
Real-time 1:1 recommendations across web, app and email driven by unified customer behaviour.
Value chainEcommerceObjectiveGrow RevenueAI typeModelKPIConversion +15%Value£850KFeasibilityHigh
Dependencies
Customer 360, Product catalog, Behaviour stream
Feasibility
High — based on current data & integration readiness
Recommendation
✅ Live — scale to email & app surfaces
AI deployment flow
How signal turns into outcome for this use case.
Insight
Lift conversion with 1:1 product discovery across web, app and email
Business Objective
Grow Revenue
Data Required
Customer, Product, Sales, Web & App Behaviour
AI
Model — Personalised Product Recommendations
Decision
KPI: Conversion +15%
Action
Web, App, ESP, CDP
Outcome
£850K value
Business outcomes
- Primary KPIConversion +15%
- Estimated annual value£850K
- Strategic objectiveGrow Revenue
- Value chain stageEcommerce
Type of AI
ModelPredictive or generative model that scores, forecasts or generates content.
Action surfaces
Web, App, ESP, CDP
Data sources required
Unified domains powering this use case via Xfuze.
Customer
CustomerUnified golden record of every known shopper across channels, identities and households.
Typical sources
CDPCRMLoyaltyEcommercePOS
Product
ProductMaster catalogue, attributes, hierarchies, imagery and rich content across all channels.
Typical sources
PIMDAMERPSupplier feeds
Sales
Sales & CommerceEvery transaction line across stores, web, marketplace and wholesale — the canonical ledger.
Typical sources
POSEcommerceMarketplacesOMS
Web & App Behaviour
DigitalClickstream, scroll and session signals across owned digital surfaces.
Typical sources
AnalyticsTag managerCDP
Related use cases
Same value chain or business objective.