Problems to Solve
| Pain Points | Core Problems to Resolve |
|---|---|
| Slow task assignment, low rider efficiency | Tasks are assigned manually to each rider |
| Improve customer experience with on-time delivery | Customers don't know delivery eta; route planning is rigid and traffic causes delays |
| Poor rider experience | Rider preferences are not recorded; working hours lack flexibility |
Our Technical Solution
Principle：We offer an AI-based dispatching solution that integrates seamlessly with the client’s existing system, solving current operational problems while minimizing system impact.
Module 1：Real-time Auto Dispatch API
- User-perceived Value：
"Previously, we scheduled once a day; now, tasks are dispatched in real-time. Riders can accept orders while on the road."
- User-perceived Value：
Module 2：Rider AI Analysis Module
- Technical Logic：
"Incorporates historical database and AI analytics to track rider preferences, avoiding blind optimization each time."
- Rider Value Perception：
"If I know a shortcut that even the map doesn’t, this AI system can still learn and use that route. That’s great."
- Technical Logic：
Module 3：ETA Prediction Module
- Technical Logic：
"Combines historical timing, real-time weather, and map data to predict arrival times accurately."
- User Value Perception：
"Customers now see more accurate delivery time estimates."
- Technical Logic：
Serving Clients
