Concept Cases|AI Integration|Service

AI Loading Bay Monitor: Optimizing Logistics with ML & GenAI

Written by AQ | Feb 9, 2026 8:41:54 AM
Real-time Vehicle Detection via ML
Automated Guidance & Decision Making by GenAI
Instant Alert Notifications for On-site Staff

For Various Industries Industry Use Cases

01. Logistics (Improving Loading Bay Turnover & Eliminating Congestion)

Use Case
Automated tracking of truck arrival and departure times via camera feeds
Automatic warnings for prolonged parking or loading delays
Push notifications for waiting vehicles regarding entry timing
Key Benefits
Reduction in truck waiting times and mitigation of local traffic congestion
Lowering administrative workload by automating visual checks and phone calls
Optimization of staff allocation based on accumulated berth usage data

02. Manufacturing (Inbound Materials & Outbound Management)

Use Case
Monitoring vehicle congestion at raw material delivery bays
Automated assignment of staff to lanes where outbound tasks are stalled
Prioritizing inbound vehicles in synchronization with production schedules
Key Benefits
Preventing material bottlenecks to ensure stable production line operation
Shortening shipping lead times and reducing logistics costs
Drastically reducing the monitoring burden on site managers

03. Retail & Distribution (Store Backyard Management)

Use Case
Automated routing of delivery vehicles during peak arrival hours
Notifying store staff to begin preparations for incoming cargo
Providing instructions for delivery routes based on unloading area availability
Key Benefits
Improving store staff efficiency and reducing labor costs for receiving
Promoting work-style reform by reducing driver detention time
Maximizing the utility of limited backyard and loading space