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Home / Transport Monitoring Solutions / Digitalization of the vehicle fleet of “Mekhkolonna No. 1” based on the “Waliot” platform

Digitalization of the vehicle fleet of “Mekhkolonna No. 1” based on the “Waliot” platform

GOAL: Complete digitalization of the vehicle fleet of the company “Mekhkolonna No. 1” to achieve maximum operational efficiency, reduce costs and increase the transparency of vehicle and special equipment management. The implementation of the Waliot platform made it possible to monitor the operation of equipment in real time, optimize routes, control fuel consumption and automate reporting. This ensured a reduction in downtime, increased driving safety, compliance with regulatory requirements and support for the sustainable development of the company.

Detailed information about the project is following the link

The implementation of the Waliot system has resulted in a significant increase in operational efficiency and cost reduction. The time it takes to refuel equipment has been reduced by 37%, which has minimized downtime and increased fleet productivity. The use of vehicle telematics and fuel analytics based on machine learning has reduced fuel losses by 92%, and the accuracy of accounting has reached 98%. Automation of reporting and real-time monitoring has ensured transparency of processes and the ability to make prompt decisions, which has improved control over resources and safety.

 

The main strategic result was the prospect of using modern data analysis methods. These methods allow for highly accurate tracking of changes in equipment operation and identification of potential risks. Predictive models will allow assessing the likelihood of malfunctions or deviations, for example, when equipment is used inappropriately or when malfunctions occur.

 

Project Uniqueness

The project is a deep digitalization of the vehicle fleet using advanced technologies of transport telematics and fuel analytics based on machine learning. Using Waliot allows not only to monitor the movement of equipment in real time, but also to analyze data from various sensors and the CAN bus. The machine learning system identifies deviations in the operation of equipment and fuel operations, preventing theft and inefficient use of resources. The uniqueness lies in the integration of this data into a single solution, which significantly reduces downtime and increases the overall performance of the vehicle fleet. The telematics data accumulated by the system is used to generate BI dashboards and the work of the business analysts department.

Do you want to achieve the same effect in your company?
Digitization of the fuel issuance and control process is not just convenience, but a real way to minimize losses.

The automatic accounting system eliminates the human factor and reduces fuel theft by 92%, ensuring transparency of all operations. The enterprise gains full control over expenses, and management receives accurate analytics to optimize costs. By investing in digital monitoring, you not only protect fuel resources, but also increase the efficiency of the vehicle fleet.
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