Use case
Logistics and 3PLs
Your clients judge you on ETAs you do not control. Every disruption becomes a round of phone calls, and the client who hears late assumes you knew early.
Worked example
A live risk view for every client
Each client sees the risk position for their own lanes, and ETA updates go out automatically as forecasts change. The conversation shifts from explaining a missed date to showing you flagged it first.
- Clients covered
- Per-client lane views
- Updates
- Automatic on forecast change
- Evidence
- Audit log of every signal and score
- Outcome
- You raise the delay, not the client
Sample scenario
What matters most
The features this leans on
- 01
Per-client views over shared lane data
- 02
Automatic ETA updates and drafted client messages
- 03
Audit log showing which signal moved which forecast, and when
See this against your own logistics and 3pls lanes
We load a sample of your suppliers, run a live scenario, and show which orders would slip.