Time windows that hold
Tour planning with time-of-day travel times from real traffic data, as an API in your dispatching system.
- Time-of-day predictions per stop
- Matrix computation for large tours
- Predictable flat rate instead of pay-per-call
Retail · Delivery services · Last mile
The last mile decides whether your time-window promise holds. We supply the travel times, the navigation and the map maintenance for it.
Why standard tools fail here
Static travel times know no rush hour. From the third stop the tour lags, and the promised window bursts.
Seasonal staff and turnover are part of the business. If every new hire needs app setup and training first, that does not scale.
Roadworks and closures often appear in standard maps only after the tour has long been planned.
The solution
Tour planning with time-of-day travel times from real traffic data, as an API in your dispatching system.
Drivers get their destinations onto the device automatically and are guided to the door. Nothing is installed by hand.
Localion in use
For one distribution network, around 200 employees maintain roadworks and closures in the Europe-wide road network themselves. The change takes effect in the next tour planning.
Case reportFrom real conversations
Not necessarily. Travel times and tour optimisation can be pulled into your existing app as an API. The navigator pays off when you want guidance to the door, offline operation and a rollout without driver training.
Your teams can record changes themselves, from a closure to a new access road. The correction takes effect in planning and navigation without waiting for the next map update.
New vehicles get the navigation automatically via your mobile device management. And because we work with flat-rate conditions, the peak stays predictable on the invoice too.
Next step
Jana Scharathow shows you, on your own delivery area, how realistic time windows come about.
