Orange drives C&P's 600-unit fleet in Singapore

Enterprise Innovation editors
20 Aug 2015

C&P Rent-A-Car in Singapore enhanced its 600-unit fleet during the 28th Southeast Asian Games with Orange Business Services’ Fleet Performance solution.

Orange’s offering includes track-and-trace and security capabilities, which enabled C&P to monitor its fleet movement of its VIP concierge services in real time and gain a holistic view of their event fleet to improve productivity.

Fleet Performance offers a large range of functions, such as vehicle tracking, and speed and safety management.

Orange equipped over 360 C&P vehicles with telematics boxes, which enabled C&P personnel to remotely tap into fleet data in real-time with ease through a secured web portal.

Throughout the SEA Games, fleet control personnel monitored more than 48,000 trips made by C&P’s fleet, which covered a total distance exceeding 400,000 km.

The control team had access to precise insights of each vehicle’s location and driving speed at all times, ensuring the Games’ drivers and key delegates safety.

Crucial to C&P’s decision to work with Orange is the platform’s points-of-interest (POI) and geofencing movements of all deployed vehicles at any given time and around predefined venues.

Geofencing is a feature in a software program that uses the global positioning system (GPS) or radio frequency identification (RFID) to define geographical boundaries. A geofence is a virtual barrier. Programs that incorporate geo-fencing allow an administrator to set up triggers so when a device enters (or exits) the boundaries defined by the administrator, a text message or email alert is sent.

A total of 75 points of interests with corresponding number of geofences were used by 45 different operations personnel, assisting them in managing their areas of responsibility.

The function further aided fleet control personnel in the efficient and timely dispatch of vehicle support during unexpected incidences.

Beyond the Games, C&P can leverage the activity reports to achieve greater productivity and cost optimization through predictive maintenance based on trending and usage data available from the platform.

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