A logistics company uses AI to reduce its delivery routes by half and save time on package sorting

Net Zero Logistics, a Connecticut-based company focused on last-mile deliveries, has dramatically transformed its operations by implementing AI technology. CEO Mark Chiusano revealed that the company previously operated 30 to 40 delivery routes each day. However, driven by the need for more efficient routing and lower costs, they turned to Finmile, an AI-driven transportation software, to optimize their logistics. Finmile’s dynamic routing capabilities consider various factors such as location, weather conditions, traffic patterns, and driver performance. As a result, Net Zero now manages an average of 16 to 20 routes daily, enabling drivers to deliver more packages within the same timeframe or even less. Professor Willem-Jan van Hoeve of Carnegie Mellon University explained that optimizing delivery routes has become increasingly complex due to urban challenges like rush hour traffic and scheduled events. Traditional methods of route optimization, which focus solely on minimizing distance, are no longer sufficient in meeting modern delivery expectations. Rich Pleeth, CEO and co-founder of Finmile, noted that his experience in logistics highlighted the inefficiencies in the delivery segment of e-commerce. His company, originally focused on using e-cargo bikes and electric vans, shifted towards route optimization in 2024. Pleeth emphasized that Finmile's AI actively manages routing decisions, reassessing stops in real-time based on driver availability and order changes, which helps preempt delivery failures. Unlike conventional software that complicates existing systems, Finmile integrates AI from the ground up, allowing Net Zero’s team to easily customize reports and adjust routes without needing extensive technical skills. This has significantly reduced the time drivers spend sorting packages, which previously began in the early morning hours. The new dynamic routing system enables drivers to scan packages and receive immediate information about their delivery routes. Chiusano noted that this innovation has led to more efficient sorting and reduced labor costs. The AI continuously refines its algorithms to enhance routing efficiency further. Additionally, the software provides real-time data to both dispatchers and drivers, tracking performance metrics such as the number of deliveries and average drop times. This transparency has improved operational discussions and performance management. Chiusano urges other logistics companies to adopt dynamic route optimization, insisting that the logistics landscape has evolved dramatically over the past few years. With AI at the forefront, Net Zero Logistics is setting a new standard for efficiency in the delivery industry.