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Case study
How we helped the automotive giant cut vehicle maintenance costs by 20% through mileage reduction
The challenge
Our client — a large truck manufacturer company. The company pursued a goal of cutting transportation expenses in their over 100 sq. km. large logistics center. The objective was to provide a solution to optimize and automate transportation processes.
Identified Issues
average vehicle delivery time
30 min.
200
passangers transported daily
up to 30%
unfulfilled requests
total fleet size
22 vehicles
Dispatchers and logisticians relying on numerous phone calls to process transport requests
Assignment of transport requests handled manually
One vehicle per request
Prolonged approval process for assigning vehicles to employee transport
Inefficient fleet usage and increased idle mileage
Lack of detailed trip reports for employees and departments
Unauthorized use of corporate transport for personal matters
Objectives
1
Eliminate the need for manual trip planning
2
Enable multiple requests to be handled by a single vehicle
3
Implement a comprehensive tool for fleet management
Solutions
Implementation Results
1. Integrate the Chelnok Corporate Taxi system with the fleet at the logistics center
2. Establish a shared vehicle pool and enhance vehicle selection based on location and driver availability
3. Apply combinatorial optimization algorithms to determine the most efficient corporate transport routes
4. Enable employees and drivers to access the system through a mobile app
5. Supply the employees with guides for effective system usage
Average vehicle delivery time reduced by over 300%
8 minutes to deliver
Vehicle allocation using real-time location data of both the requester and the driver
Assigning multiple requests to a single vehicle with on-the-way passenger pickups
Setting usage limits for departments and providing detailed order reports
Real-time monitoring of corporate vehicle usage
Performance analytics and reporting for drivers and fleet management
20% fleet efficiency increase while maintaining it’s size
250 passangers daily
Reduction in idle mileage
12%
Decrease in dispatcher workload
50%
Implementation Effects
More requests fulfilled without expanding the fleet
Faster fulfillment, better punctuality
Enhanced travel convenience for employees
Greater transparency with data-driven decision making
Reduced downtime and empty mileage
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Contacts
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