Truckload validation powered by AI to improve logistics accuracy
and reduce costs

Project Snapshot

TriSeed partnered with a leading distribution company to modernize its gate validation process. Manual inspections caused delays, errors, and compliance risks. By implementing AI-powered truckload validation, the company achieved faster throughput, higher accuracy, and stronger compliance—all while laying the foundation for future innovation.

Key Technologies / Platforms

Computer Vision

Deep Learning (PyTorch)

Edge GPU Processing

Cloud Integration

Impact

AI-powered validation transformed a critical bottleneck into a driver of efficiency. The solution delivered:

Over 90% validation accuracy for shipment completeness
Up to 35% faster gate processing for higher throughput
Digital audit records that simplified compliance and accountability

Industry

Distribution and Logistics

Key Services

Artificial Intelligence

Data Engineering

Cloud & Edge Engineering

Operational Analytics

The Story Behind the Transformation

Every truck entering the facility carried not just goods but also risk. For years, the company relied on manual inspections, forcing staff to compare paperwork with cargo at the gate. Errors slipped through. Compliance records were incomplete. Delays stacked up, costing both time and money. The gate had become a bottleneck instead of a gateway.

When leadership asked “What if validation could be instant and accurate, without guesswork?” the journey toward reinvention began.

TriSeed worked side by side with the company’s teams to design an AI-powered system that combined deep learning, real-time video capture, and seamless data integration. Cameras at entry and exit points now record each truckload, while AI models validate shipments against records in seconds. Any anomaly is flagged instantly, and every check is logged digitally for compliance.

What once slowed operations now fuels efficiency. Gate processing times dropped. Staff gained confidence in the accuracy of shipments. Auditors trusted the digital trail. And the company built a future-ready foundation that can expand into license plate recognition, cargo monitoring, and predictive analytics.