Xora, Inc.

Azuga, Inc.

Ananth Rani

Ashwin Sabapathy

Sivakumar Venkatraman

Mahesh Kumar

Pramod Jajoo

Justin Falk

Akash Sharma

A computer implemented method for reconstructing a path taken by a vehicle using periodically sampled geographical position data is disclosed comprising accessing telemetric data including a plurality of GPS points; ordering the plurality of GPS points sequentially, where in a first GPS point is a starting point; identifying a next GPS point in the sequence; generating an area around the identified next GPS point; determining all street segments located within the area; calculating a distance from the starting point to each of the street segments located within the area; storing the street segments that are the shortest distance from the starting point; setting the endpoints of the stored street segments as the starting points; repeat these until a final GPS point is processed; and determining the shortest path by joining the shortest path from each point starting at the starting point and ending at the final GPS point.

Method and system for path reconstruction of periodically sampled geographical position data

The present invention is directed towards a method for evaluating driver performance. In exemplary embodiments, the method comprises receiving driver activity associated with a driver of a vehicle in a fleet, determining a driver score based on predetermined criteria and generating and updating a driver profile based on the driver activity and evaluating the driver score to generate rewards for the driver and updating the driver profile accordingly.

Method and apparatus for evaluating driver performance and determining driver rewards

Method and apparatus that facilitates customer retention, churn reduction, and customer satisfaction by predicting customer churn and taking an appropriate action to retain a customer is described. In an example, a customer retention method acquires information indicative of customer service usage by customers. The customer retention method then provides an analysis of the acquired information. The analysis predicts the likelihood of churn for each customer. The customer retention method then identifies affected customers based on the analysis. The customer retention method then automatically selects customer support executives to initiate an action for each of the affected customers. The customer retention method selects the customer support executives based on skill in handling the affected customers, among other factors.

Method and apparatus for customer retention

A method and apparatus for generating context sensitive mobile device utilization data. The method comprises retrieving mobile device utilization data from a mobile device utilization and tracking device, retrieving location data from the tracking device, retrieving context sensitive data relevant to the device, and analyzing the retrieved data to determine context sensitive mobile device utilization.

Context sensitive mobile device utilization tracking

A method and apparatus for performing a context sensitive speed tracking by generating a location of the mobile tracking device; determining context information related to the location; and analyzing the location and context information to determine an appropriate speed of the mobile tracking device in view of the context information.

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Fremont, CA, United States of America

Ananth Rani