Ani Technologies Private Limited

Kunal Sachdeva

Rajesh Kumar Singh

Shailesh Kumar

Anand Sharma

A method and a system for maximizing share-ride bookings in a geographical area in a ride-sharing system are provided. Historical share-ride demands for the geographical area are estimated. A time period is segmented into time intervals such that each time interval has an equal count of the estimated historical share-ride demands. A conversion rate and a gross merchandise value (GMV) per unit of distance are determined for a first time interval at a check point of a second time interval. Error signals are generated at the check point based on deviations in the conversion rate and the GMV per unit of distance with respect to a defined conversion rate and a defined GMV per unit of distance, respectively. A share-ride fare in the second time interval is controlled based on the error signals to maximize the share-ride bookings during the second time interval.

Method and system for maximizing share-ride bookings

A method and a system for location clustering for a transportation service are provided. A plurality of locations are clustered into a plurality of clusters, each having one or more locations of the plurality of locations. A graph is generated by connecting the plurality of clusters. A first cluster of the plurality of clusters is connected to one or more second clusters of the plurality of clusters that satisfy one or more threshold parameters. The graph is segmented into a plurality of fully-connected maximal sub-graphs based on one or more connections between the plurality of clusters. One or more fully-connected maximal sub-graphs of the plurality of fully-connected maximal sub-graphs have a set of common clusters. The plurality of fully-connected maximal sub-graphs are used for performing one or more transportation service operations of the transportation service.

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New Delhi, India

Kunal Sachdeva