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Electric Car

Energy and Utilities

Maximise the EV charge point utilisation with dynamic charge scheduling

EV charge points are essential for accelerating the transition to electric mobility but with demand outstripping supply of charge points, it's essential to maximise the utilisation of every pice of charging infrastructure.

No asset should be left unused when individual drivers are circulating to find available sites and fleets are having to accommodate the cost of their own charging infrastructure.

More asset sharing is needed to increase the flexibility of individual offers, increase utilisation and reduce the capex associated with providing essential infrastructure. This can only be delivered with effective schedule automation that can allocate demand as efficiently as possible.


Automated Scheduling and coordinated asset sharing to maximise utilisation and coverage

flowOS is designed to optimise the core of a scheduled bus operator's business - the schedule - to ensure that fleets can move quickly to allocate and reallocate charge slots in response to changes on the network.

Prospective's cloud-based Automated Scheduling software enables EV operators to meet both customer service and fleet efficiency goals. For some for the world's biggest operators, Prospective's next-generation scheduling system is proven to deliver:

  • Increased vehicle utilisation

  • Increased customer satisfaction 

  • Reduced fleet miles per passenger served

  • A customer portal that enables passengers to see accurate, predicted charge point occupancy

  • Machine learning capabilities that continuously monitor all available data to optimise asset performance over time.

  • Integration with third applications and TMS systems

With flowOS you can:

  • Automate the generation and continuous adjustment of timetables and itineraries that maximise availability and resource utilisation

  • Provide a single source across supplier networks to aid multi fleet, multi utility coordination and asset orchestration

  • Generate different scenarios quickly based on different service frequencies, punctuality and headway targets.

  • Update fleet plans based on charge status

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