Connected vehicle data for Roadside Assistance

Support drivers in their moment of need with connected vehicle data

Enhancing the customer experience

Connected vehicle data benefits every person and organization across the roadside assistance ecosystem, enhancing the customer experience at every touchpoint and powering more innovative business models.

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How connected vehicle data can help

Connected Vehicle Data enables services to respond faster, more efficiently, and more effectively. It helps improve resolution times and repairs to reduce stress and get drivers on their way as soon as possible. Furthermore, service providers can proactively support drivers by understanding what’s happening in the vehicle remotely, reducing the likelihood of in-journey breakdowns and offering self-serve fixes and repairs.

Why Wejo?

We collaborate closely with our automotive, public and private sector partners to develop connected car data services and products that meet partner needs.

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Volume, accuracy, speed & scale

Wejo has one of the largest data assets of authentic, high resolution, connected car data. This is objectively superior to mobile and static mobility data, offering significantly enhanced accuracy and quality.

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Flexible integration

Flexible access and usage methods - including integration with leading toolsets and open source technology - enable our partners to seamlessly benefit from ground-breaking data and insights.

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Privacy and security by design

Our privacy and security policies ensure that what’s private, stays private. Wejo holds several recognized security certifications and is audited by independent third-party organizations.

The benefits of using Connected Vehicle Data

Organizations are already optimizing their business processes, enhancing their customer experience, and underpinning new services through use cases such as:

Rapid Response
Receive alerts about the exact location and status of a vehicle in the event of an incident, such as a breakdown or crash, to quickly dispatch recovery services to the correct location.

Health and diagnostics
Use information about vehicle condition, configuration, mechanical or electronic component failure and relevant diagnostic data to enable driver self-serve fixes, or dispatch of the relevant repair or recovery vehicles with the necessary parts onboard.

Optimize subsequent phases of the roadside recovery process when roadside repair is not possible, including passing details to repair workshops or garages to optimize part availability and minimize time “off road".

Intelligent predictions
Use historical traffic and incident data to inform decisions on where to position recovery and emergency service vehicles to enable faster response times and predict where and when roadside incidents are most likely.

First response data
Access details on crash severity, vehicle resting position, such as inverted or in a ditch, vehicle type and status and occupancy to alert the emergency services and first responders.

Proactive services
Use vehicle data to underpin new on-demand and proactive services, such as pre-emptive vehicle maintenance using mobile mechanics, to reduce the likelihood of in-journey breakdown events.

Live and predictive vehicle events
Enable smarter dynamic road infrastructure with live and predictive vehicle events, such as using breakdown data to automatically close live lanes on highways, and alert following drivers to incidents in real-time to improve road safety and convenience.

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