Docs / source reviewed
LogiPulse AI
Turn delivery exceptions into rule-traceable disposition results
How this project uses Jev
- Input
- Customer notes, parcel value, signature requirements, delivery-attempt count and related event fields
- Jev decides
- Choose among six suggested actions, assess risk, and detect signature bypass or address redirection
- Code executes
- FastAPI applies ordered rules to return a block, fraud review, OTP requirement, driver confirmation or dispatch escalation; Streamlit displays the supporting signals
Evidence and limitations
The reviewed code provides a decision API and console; actual OTP delivery, driver execution and dispatch-ticket integrations were not found in the checked implementation. Status labels are not completed actions. Rules depend on model signals; real logistics behavior, security effectiveness and latency were not tested.
This project has not been run independently here. Author-reported results are not independently verified results.
Original sources
- https://github.com/jijaraba/LogiPulseAI_JEV/blob/0ca0826a1c014a6395031c06fdc4a8bc35e03b57/README.md ↗
- https://github.com/jijaraba/LogiPulseAI_JEV/blob/0ca0826a1c014a6395031c06fdc4a8bc35e03b57/jev_evaluator.py ↗
- https://github.com/jijaraba/LogiPulseAI_JEV/blob/0ca0826a1c014a6395031c06fdc4a8bc35e03b57/api.py ↗