Starting point
A shared e-vehicle provider has to decide every day where vehicles stand, when batteries are swapped and where teams are sent – across many cities.
Solution
- Demand forecasts by location and time from ride, weather and calendar data.
- Optimisation proposals for distribution, battery swaps and operations planning.
- Clean data models as a shared basis for analysis and operations.
- Dashboards where operations compare forecast and reality.
Result
- Decisions based on forecasts instead of gut feeling
- Planning comparable across cities
- One data basis for analysis and operations
Project by our founder from previous employment. Company anonymised, no internal figures.