Case study
Code is privateProblem
No single pricing model wins everywhere. Some asset buckets price cleanly with one approach and badly with another — and routing them by hand meant expert time spent on assets a model could have handled.
What it does
Evaluates the candidate pricing models against each asset bucket, scores them, and routes every bucket to the winner — so more assets get priced automatically and experts only see the ones no model handles well.
Architecture
- 01Asset bucketing
- 02Candidate model evaluation
- 03Per-bucket scoring
- 04Routing to the best model
- 05Fallback to expert pricing
Stack
- EvaluationModel scoring harness
- RoutingPer-bucket selection logic
- RuntimePython on AWS
- ServingML pricing API
Outcomes
- Auto-priced rate up more than 20%
- Manual pricing workload cut
- Patent pending — named inventor
Code is private — happy to walk through it.