Results
Fewer vehicles and working hours, higher productivity, shorter deliveries. Each case study shows the starting point, what we did and how we measured the effect.
The courier company Stava runs its fleet dispatch on our platform in about 50 cities and reaches 3.0 orders per courier working hour, more than the averages of large food-delivery platforms (about 2.0–2.6).
A simulation on real data from one month of a wholesale network, scaled to a fleet of 100 vehicles: the same work with 67 vehicles, with 32% fewer working hours and 9% fewer kilometres.
An automated dispatch pilot in 16 restaurants of a large chain: average delivery time fell from 40.2 to 35.3 minutes (−12%), and courier productivity rose from 1.99 to 2.42 orders per working hour (+22%).
Results coming soon
Results coming soon
Results coming soon
Further projects are under way. We will publish their results once we have collected and verified the full data and, where the client agrees, under the client’s name.
Your fleet
Typically 10–30% fewer vehicles for the same work. How much it will be for you is shown by a free analysis of your data and then by the pilot.
We do not promise percentages up front. The result depends on scale, how changeable the orders are and how the fleet works today. That is why we start with your data, and if the pilot shows no results, we do not sign a contract.
We publish client results without company or brand names unless the client agrees to publication, and in a way that does not allow the client to be identified by figures, scale, location or other characteristics. That is why we rescale some figures, for example to a fleet of 100 vehicles, while percentages stay unchanged. Stava, the courier company in our group, appears by name. Each case study explains how we measured the effect.
Start with a conversation and historical data on your fleet and orders. The analysis is free. If we do not see potential, we will tell you straight away.