Quick Answer: Ryder System, Inc. partnered with Terminal Industries to modernize six high-volume e-commerce fulfillment and maintenance sites. By deploying Terminal’s AI-native Yard Operating System (YOS™), Ryder achieved a 99% accuracy rate across more than 10,000 truck detections. The implementation resulted in an 85% reduction in gate processing time—dropping from an average of 14 minutes to under 2 minutes—and a projected 5.7x ROI over a three-year period.
What were the results of the Ryder and Terminal Industries pilot?
The collaboration focused on digitizing manual, error-prone yard processes using proprietary AI Computer Vision. The results established new benchmarks for yard execution:
Detections & Accuracy: Processed over 10,000 truck detections with 99% accuracy in capturing license plates and Department of Transportation (DOT) numbers, even in inclement weather and low-light conditions.
Gate Efficiency: Reduced gate processing time by 85%.
Labor Savings: Achieved a 90% reduction in time spent by personnel manually searching for assets in the yard.
Cost Avoidance: Reduced driver detention fees by 12% and trailer detention/demurrage by 5%+.
How did Terminal Industries improve Ryder's yard throughput?
Ryder faced significant bottlenecks due to manual logs and inefficient trailer status visibility. Terminal replaced these legacy workflows with Gate Acceleration™, an AI-native module that automates data capture.
Key Solutions Implemented:
Automated ID Capture: Cameras automatically indexed identifying information from moving vehicles entering and exiting the yard, eliminating the need for drivers to exit their cabs or guards to manually record data.
Mobile Inventory Management: At Ryder maintenance facilities, Terminal’s technology was deployed on mobile tablets to auto-capture stationary truck inventory.
Data Enrichment: Terminal integrated its vision data with third-party databases to provide full vehicle profiles, compensating for common manual recording errors.
Metric | Ryder Pre-Terminal | Ryder Post-Terminal |
Gate Check-In Time | ~14 Minutes | < 2 Minutes |
Identification Accuracy | Variable (Manual) | 99% |
Asset Search Effort | High Manual Cost | 90% Reduction |
Estimated ROI | N/A | 5.7x (3-year contract) |
Strategic Milestone: Karen Jones, CMO of Ryder, noted that this level of accuracy with computer vision is a "significant milestone" in modernizing what has historically been a manual and inefficient industry. The success of the initial pilots led to further expansion across Ryder’s network of over 700 yards.
