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Spark EV Offers Solution for Provide

Spark EV Offers Solution for Provide

Spark EV has announced that the health and care organisation Provide has implemented its artificial intelligence based journey prediction solution, validating the growth of electric vehicles (EVs) within business fleets.

The solution collects live driver, vehicle, and other data sources, such as the weather and congestion, via an in-car sensor and then uses its cloud based machine learning algorithms to provide more accurate journey predictions for electric vehicles. To access the data, fleet managers and drivers have to enter their proposed journey into Spark’s app and then they will get the advice needed.

By using Spark EV, fleet managers and drivers are reassured that they will be able to schedule and complete jobs without running out of charge, removing range anxiety while increasing the amount of potential vehicle journeys by an additional 2.8 per day.

“We understand the benefits of EVs in terms of increasing efficiency and demonstrating our green credentials to the communities we serve,” said Philip Richards, Executive Finance Director and Company Secretary, Provide. “At the same time our patients rely on us being in the right place at the right time, meaning it is vital that our EV fleet is used efficiently, without staff needing to worry about not being able to complete their schedules due to running out of charge. By quickly providing us with more accurate journey predictions Spark EV removes range anxiety and is therefore accelerating our EV adoption.”

In addition, Provide has decided to install charge points at five of its sites and is planning to extend its fleet of Nissan Leaf EVs. Due to Spark’s ability to improve journey predictions based on previous trips, Provide will be able to use these learnings to optimise its EV usage and increase confidence within its workforce.

Delivered through a monthly subscription model, Spark easily integrates with existing fleet management/scheduling systems through its open API, or can be used as a standalone solution for smaller fleets and can be installed with all current EVs.

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