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Use Case
Onsite Search Relevance
Learning-to-rank model improves relevance, synonyms and zero-result rescue.
Value chainEcommerceObjectiveGrow RevenueAI typeModelKPISearch conversion +18%Value£240KFeasibilityHigh
Dependencies
Web & App Behaviour, Product, Sales
Feasibility
High — based on current data & integration readiness
Recommendation
🔬 Pilot candidate — high feasibility, validate with a focused trial
AI deployment flow
How signal turns into outcome for this use case.
Insight
Learning-to-rank model improves relevance, synonyms and zero-result rescue.
Business Objective
Grow Revenue
Data Required
Web & App Behaviour, Product, Sales
AI
Model — Onsite Search Relevance
Decision
KPI: Search conversion +18%
Action
Ecommerce systems
Outcome
£240K value
Business outcomes
- Primary KPISearch conversion +18%
- Estimated annual value£240K
- Strategic objectiveGrow Revenue
- Value chain stageEcommerce
Type of AI
ModelPredictive or generative model that scores, forecasts or generates content.
Action surfaces
Ecommerce systems
Data sources required
Unified domains powering this use case via Xfuze.
Web & App Behaviour
DigitalClickstream, scroll and session signals across owned digital surfaces.
Typical sources
AnalyticsTag managerCDP
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
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Same value chain or business objective.