MOBILITYSQUARE: SUSTAINABLE MOBILITY RECOMMENDATION ENGINE FOR TOURISM
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- MOBILITYSQUARE: SUSTAINABLE MOBILITY RECOMMENDATION...
The purpose of the experiment is the creation of a Reccomendation Enegine for e-bike rental which could forecast the number of reservation in a specific rental point depending on the weather forecast and so recommend other destinations in case of bad-weather or overbooking. Furthermore the system will also reccomend to the user interesting things to do and interchange with the train at local train stations in order to avoid car trips.
Start date: 05/01/2022
Duration in months: 9
Problem Description
Create a Reccomendation Enegine for e-bike rental which can:1) Forecast the number of reservation in a specific rental point depending on the weather forecast and so recommend other destinations in case of bad-weather or overbooking,2) Reccomend to the user interesting things to do based on the existing partners and points visited so far. Reccomend interchange with the train at local train stations in order to avoid car trips.
Goals
New services
Challenges
Using weather information and positions of the e-bikes in order to forecast and suggest solutions to the users, in order to reduce their impact on the environment
Innovation results
The innovative result of the experiment was the definition of an algorithm that combines weather information with historical booking data in order to allow a reliable forecast in the e-bike market and the creation of a recommendation engine that will propose what to visit in a specific destination and possible alternative solutions in case of overbooking or bad weather
Business impact
confidential