Personalized Pricing Anomaly Detector
7.5
A service to flag potentially illegal personalized pricing schemes. It ingests publicly available data from retailers and compares it against expected price trends and fairness models. If anomalous pricing patterns are detected, it generates alerts and reports for regulatory bodies.
180h
mvp estimate
7.5
viability grade
1
views
technology stack
Python
PostgreSQL
Medium
inspired by
FTC demands data on Walmart, Uber, Delta pricing