SemiCab Demonstrates More Than 70% Reduction in Empty Trucking Miles Across Live Freight Networks

Core Insights - Algorhythm Holdings, Inc. has published a whitepaper demonstrating that its SemiCab platform can reduce empty freight miles by over 70% across active customer networks [1][3] - The global truckload transportation industry is valued at approximately $3 trillion annually, with inefficiencies leading to over $1 trillion lost each year due to empty miles [2] - Algorhythm estimates that, if deployed at scale, the SemiCab platform could eliminate up to $700 billion in global empty-mile waste [2] Industry Overview - The truckload transportation industry faces significant inefficiencies, with trucks driving empty nearly one out of every three miles [2] - In India, trucks run empty up to 40% of the time, which is significantly higher than the global average of 30-35%, contributing to elevated logistics costs and excessive fuel consumption [3] - Truck utilization in India is nearly 40% lower than in countries like the U.S. and China, indicating a need for improved logistics solutions [3] Company Technology and Impact - SemiCab's AI-driven Collaborative Transportation Platform addresses structural inefficiencies by enabling network-level planning and real-time load coordination [3][4] - The platform has demonstrated the ability to reduce empty-mile rates to below 10% in certain deployments, showcasing its effectiveness in lowering costs and increasing asset utilization [3][4] - The technology operates at the network level, pooling demand and supply across shippers, regions, and timeframes, which allows for structural efficiency improvements rather than temporary gains [7] Proven Results and Future Plans - Through live deployments in India, SemiCab's system-level planning model has enabled customers to achieve significant performance gains, which compound as network participation increases [5] - The company is extending its operating model to the United States with the Apex SaaS platform, aiming for asset-light recurring revenues and high profit margins [10] - The goal is to predict and optimize millions of load movements across hundreds of thousands of trucks worldwide, enhancing supply chain resilience and reducing emissions [11]