Optimizing Fleet Efficiency with AI-Driven Dynamic Route Management

Optimizing Fleet Efficiency with AI-Driven Dynamic Route Management

by from Kyiv, Ukraine

Design

Tech

Usability

Creativity

Content

Type: Software
Client from United States
Category: Automotive & Transportation
Style: Classy
Color: Black

The client has a fast-growing business with oversized vehicles that use specialized equipment stored in locations spread over a large area. Drivers use this equipment to work at client sites and often need to change their tools during the day.The client faced challenges in manually planning vehicle routes due to multiple business constraints, such as varying fuel consumption rates, driver workload balancing, equipment availability, and unpredictable events like sudden job cancellations or road conditions. They needed a solution to minimize operational costs and improve effectiveness by dynamically managing routes during the working day.To address these challenges, we developed a system based on the enhanced Vehicle Routing Problem algorithm and map APIs. This solution reduces transportation costs by optimizing vehicle routes to align with the client’s business objectives, ensuring efficient resource use and real-time adaptability.