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Recommendation and decisioning systems.
Recommendation systems only matter when they improve customer experience and business outcomes. This page tracks my portfolio around product recommenders, next-best-action systems, search relevance, churn prevention, and personalisation measurement.
What this will demonstrate
Business framing
How to connect recommendations to conversion, retention, average revenue per user, lifetime value, and customer usefulness.
System design
Candidate generation, ranking, feedback loops, cold start, eligibility rules, and operational constraints.
Decisioning
Next-best-action logic across CRM, ecommerce, content, lifecycle marketing, and churn prevention.
Measurement
Offline metrics, online experiments, incrementality, guardrails, and long-term learning loops.
Planned assets
- Product recommender case study template.
- Next-best-action architecture note.
- Churn prevention as a decisioning system.
- Vertex AI Search for ecommerce: where it fits and where it does not.