Applied AI & Data Science
CancellationRiskPrediction
Cancellation RiskPrediction
BuiltApplied AI
Prediction model for identifying likely order cancellations earlier in the confirmation workflow.
Context
Order confirmation workflows can be delayed when teams manually identify cancellation risk.
Problem
Manual confirmation delays create uncertainty and slow down operational follow-up.
Contribution
Built an order cancellation prediction model to reduce manual confirmation delay.
Tools used
Machine learningPython
Impact / learning
Reduced manual confirmation delay by 1-2 days.
Predictive work matters when it improves workflow timing and reduces uncertainty.
Future direction
Add clearer model framing around signals, workflow usage, and decision thresholds.