Algorhythm published a whitepaper demonstrating that its SemiCab AI-driven Collaborative Transportation Platform cuts empty freight miles by more than 70% across active customer networks, enabling network-level load coordination and real-time planning across multiple shippers, carriers and geographies.

The global truckload transportation industry represents approximately a $3 trillion annual market with trucks driving empty nearly one out of every three miles, costing over $1 trillion in freight inefficiency. At scale, SemiCab could eliminate up to $700 billion in global empty-mile waste, presenting a multi-hundred-billion-dollar opportunity.

Live deployments in India increased loaded-mile utilization above 90% and drove empty-mile rates below 10%, while improving delivery reliability, capacity availability, lowering total transportation costs and stabilizing carrier earnings as network participation grew.

Algorhythm is extending SemiCab’s operating model to the United States through its new Apex SaaS platform, targeting asset-light recurring revenues with high margins, accelerated market penetration via white-label partnerships and a growing data ecosystem to enhance AI accuracy.