Home / Connected Vehicles / Smart Mobility / Big Data analytics for carsharing introduced by Vulog

Big Data analytics for carsharing introduced by Vulog

Analytics has now been emerging as an integral component of car sharing as it enables operators to gain greater insights on end-users’ habits, which are constantly evolving.  Analytics also is the foundation for future services as the automotive market becomes more innovative and prepares for the next big thing – autonomous vehicles and robo-taxis. Considering the above-mentioned points Vulog Carsharing Technologies has announced the incorporation of advanced analytics into their offering to enable improved strategic decision-making. The product comprises 50+ dashboards to further improve customer success and profitability.

BigData_Vulog-t'wire
Illustration of a demand analysis map for fleet balancing

Using Vulog’s solution, operators can improve their services in the following ways:

Customer Segmentation: by categorizing customers, operators are able to identify their true end-users, from daily commuters to customers only using free-minutes offered by the operator.

Supply vs Demand Analysis: in essence, cars need to always be where the demand is. Vulog’s solution enables operators to draw trends from various locations, across multiple time periods, in a given city to enable repositioning of a fleet, thus maximizing revenues.

Fleet Maintenance and Customer Service: the key to an operator’s success is the optimization of fleet maintenance and service. Having tools to analyze these cost centers can make the difference between a profitable service and a non-profitable one.

About Piyush Rajan

Asst. Business Editor |Telematics Wire | Smart automotive

Check Also

Uber in talks with ComfortDelGro about potential strategic alliance

ComfortDelGro is in exclusive talks with Uber about a potential strategic alliance, reports say.  If …