How NextBillion.ai Addressed Complex Truck Routing Constraints for a Top Canadian Fleet Management Platform

About the Company

Our customer is a prominent Canada-based company that provides fleet management solutions to over 50,000 companies. With over 4 million connected vehicles, they have the highest-quality vehicle database that provides you with key insights and recommendations powered by advanced analytics and AI.

The Problem

The customer sought to enhance their fleet’s truck routing capabilities by integrating more detailed, truck-specific navigation data into their Distance Correlation Matrices (DCMs). DCMs calculate and represent the distances and relationships between multiple points, such as delivery locations or route stops. The customer’s existing DCMs felt the need for specific truck-related information, such as constraints on vehicle size, bridge heights, or regulatory limits, which are critical for safe and efficient truck routing. They wanted to incorporate these details while optimizing their internal resources for other projects.

The Solution

NextBillion.ai offered a comprehensive solution to the customer to solve those problems through the Distance Matrix API. The key features of this solution include:

• Vehicle and Cargo Constraints: With the Distance Matrix API, the customer was able to plan truck routes with 50+ multi-dimensional capacity constraints such as custom travel costs, truck type, weight, dimensions, cargo type, etc.
• Safe Routing: NextBillion.ai’s offering ensured the safety of vehicles, drivers, and goods with regulation-compliant routes, allowing the customer to factor in hazardous material delivery and flag theft-prone zones on the base map before calculating the routes.
• Custom Routes: With NextBillion.ai’s Navigation SDK, the customer was able to enable off-road navigation, private maps and custom time-sensitive route restrictions like speed limits, road closures, and safety zones.

The Outcome

The move to NextBillion.ai led to several positive outcomes for the customer:

• High Accuracy: NextBillion’s predictive ETA modeling provided arrival times that were 95% accurate by utilizing historical patterns and real-time traffic data.
• Efficient Route Planning: The ability to handle large matrices (up to 5000 * 5000) allowed the customer to manage complex route planning and increase their trip volumes without affecting the fleets’ performance.
• Seamless Integration: NextBillion.ai’s solutions were integrated smoothly into the customer’s infrastructure, ensuring minimal disruption to their operations.
• Operational Efficiency: The solutions provided by NextBillion.ai enhanced the customer’s ability to manage their operations efficiently without compromising on performance.
• Improved Query Processing Speed: NextBillion.ai allows a maximum rate limit of 6000 queries per minute or 100 queries/second for continuous requests, which is a significant advantage for the customer since they want to use it as part of their pre-process.