We currently have a solution that allows the retail sector, for example, to study catchment areas, the tourism/event management industry to analyze tourist appeal, and the transportation sector to adapt its service offers.
There is increasing demand to plan events during busy periods such as the Olympic Games, World Cups, etc.
We are therefore developing our solution, incorporating historic population flow indicators based on the mobile operator network (visits to an area, number of trips, visitor profiles), in order to be able to predict these flows.
This solution is based on a long history of data and a robust AI model.
This will allow future flows to be predicted, thus improving your ability to anticipate and ensuring you can forecast activity more effectively.
For example, this innovation would allow you to:
- Better define the organization in terms of staff, supply, and schedule
- Reduce waiting times
- Forecast sales in the retail sector
- Scale and place safety devices or supplies efficiently during major events
- Predict travel demand to provide the right transport service offers at the right locations
- Manage logistical aspects more effectively by partly anticipating demand
