Aviro360 cuts yard dwell time with automated inventory system

Aviro360, an AI-powered yard inventory and asset-tracking platform spun out from intermodal operator ConGlobal, is addressing a critical blind spot in modern supply chains: the unautomated yard. By deploying computer vision and machine learning at yard gates and across facility grounds, the company has scaled to over 80 sites nationally and projects reaching 200 by 2027. The technology captures chassis and container numbers, license plates, and movements with 99% accuracy in under an hour, compared to manual clipboard counts that achieve only 75% accuracy over four hours. The business case is compelling: yard data latency directly feeds operational inefficiency downstream.

When spotters are dispatched to incorrect container locations, they waste driver hours and burn unnecessary moves. For refrigerated cargo, latency can mean spoilage. Aviro360 estimates an annual return of over $650,000 per site through dwell reduction and detention billing accuracy, addressing an industry problem where fleets bill for detention 94.5% of the time but collect on fewer than half their invoices. The broader context underscores the urgency: in 2023, drivers were detained on 39.3% of all stops, costing the trucking industry $3.6 billion directly and $11.5 billion in lost productivity.

The technology's rapid deployment model, gate installations in 2–3 days with full accuracy by week four, no yard marking required, lowers adoption friction. By reusing existing camera infrastructure and integrating with legacy TMS, YMS, and ERP systems, Aviro360 addresses the data integration problem that has plagued yard operations for decades. This positions automated yard visibility as a foundational layer for modern supply chain optimization, filling a gap that traditional software alone cannot solve.