Aviro360 cuts yard dwell time with automated inventory system
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The signal
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. 5% of the time but collect on fewer than half their invoices. 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.
Frequently Asked Questions
What This Means for Your Supply Chain
What if manual yard counts remain your baseline—how much would you lose to detention and missed moves annually?
Simulate the operational and financial impact of maintaining current manual yard inventory processes versus deploying automated visibility. Model the cost of incorrect spotting moves, driver detention hours, and detection billing leakage across a multi-site network over 12 months.
Run this scenarioWhat if your reefer cargo detention rate drops from 56% to 20% with real-time dwell monitoring?
Model the impact of reduced refrigerated trailer detention through automated gate-to-yard tracking and telematics integration. Calculate spoilage reduction, improved load viability rates, and premium freight margin recovery across a fleet with high reefer exposure.
Run this scenarioWhat if you could collect on 75% of detention invoices instead of 50%?
Simulate revenue recovery from improved detention billing accuracy and documentation using automated yard timestamps, gate capture data, and asset movement timelines. Model the annual recovery across 80–200 yard sites with varying detention frequency.
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