In-Vehicle Management Systems – Impact and Mitigation
With our systems critical data for key decision making could be pulled from the blockchain and interrogated with plug-in AI, and married with other timestamped data from legacy systems to enable an holistic reliable picture of the current state of project fulfilment.
A large international energy company had problems matching vehicles to drivers, double booking of assets and people and preventing occasional fraud in the supply chain. This company was using an early blockchain solution that was storing data, couldn't connect to legacy systems and was expensive to upgrade and maintain.
KATLAS was able to provide each driver and vehicle with an independent wallet and keys linked to a mobile client, which all systems could talk to for verifiable bookings and payments. The client now has an extensible system that links to current systems and puts them back in control of their data.
No longer were drivers and assets uploaded manually but scanned into the In-Vehicle Management System (IVMS) immediately. Drivers were now able to share the latest state of their credentials and availability, and vehicles able to match bookings to drivers, log their payload, and capture relevant IOT diagnostics.
Benefit - logistics could be sure their drivers had the necessary skills, the vehicles were maintained with insurances in place, and the goods being conveyed within contract parameters. So when thinsg did go wrong all stakeholders were able to mitigate effectively and reduce waste.
Measurement, verification and reporting (MVR) of carbon use was now complete and accessible to share with key stakeholders.
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