Recommendation, Search & Ranking Engine
What this system is for
A hybrid recommendation and ranking system combining behavioural signals, semantic similarity and business rules.
Reference economics
10,000 customers → 3% reprioritized → 300 decisions affected.
Reference arithmetic, not a measured client result.
10k
Reference scenario
3%
Illustrative improvement
300
Decision value
The success story in 30 seconds
Business problem
Ranking, churn or segmentation models fail commercially when relevance is disconnected from value, timing or the next action.
What changed
Combine behavioural and contextual signals.
Business utility
A useful model does not stop at prediction; it makes the next intervention more selective and explainable.
Decision
Prediction & customer decisions
System
Recommendation, Search & Ranking Engine
Validation
Features · Segments
Core stack
Python · Scikit-learn · LightGBM