When a production line stops at an automotive plant, the cost can reach millions of dollars per hour. And the trigger is often not a machine failure or a supplier shortage - its a trailer that was not staged in time because no one in the yard could confirm where it was.

Does your operations team know, right now, where every trailer in the yard is located? Can you confirm what condition a trailer was in when it arrived versus when it left? If a BOL is misread at check-in, how long before it surfaces as a discrepancy? When a dock runs idle because an asset was not staged in time, do you know why, or do you find out after?

For a Fortune 50 automotive manufacturer operating across five facilities and seven million square feet of yard footprint, the honest answer was: not enough. Gate check-in and check-out were manual. Asset movement between entry and dock assignment went not recorded in real time. Shift handoffs introduced errors that compounded quietly across every transaction. And somewhere in that constant motion, visibility kept breaking down.

The problem was not a lack of effort. It was a lack of infrastructure.

The engagement with KoiReader began with a clear mandate: eliminate the manual layer, connect the network, and build a system capable of operating at enterprise scale without a proportional increase in headcount or oversight burden.

The Solution Suite: Five Integrated Capabilities
KoiReader has deployed five integrated products at this facility, each addressing a distinct failure point in the yard operations chain. Together, they form a closed loop of visibility from gate entry to gate exit.

KoiGuard^TM: Autonomous Gate Check-In and Trailer Integrity
The first-place visibility breaks down in most large yards is at the gate. Manual check-ins create queues. Guard-based verification is inconsistent. Data entry errors compound downstream.

KoiGuard deploys a multi-camera system across all priority gates, starting with the highest-traffic entry points and expanding in phases across the full facility. Our sensors capture all tractor and trailer attributes automatically at each gate. No guard intervention, no manual logging.Gate check-out mirrors check-in, creating a timestamped record of every asset entering and leaving the yard.

KoiKiosk^TM: Driver Check-In with Bill of Lading Capture
KoiKiosk provides a driver-facing check-in station at each gate. Drivers interact with the kiosk on arrival to complete their check-in and scan their Bill of Lading document.

It captures the order details tied to that specific load. That data flows directly into the Yard Management System in real time, giving dock schedulers and inventory teams full visibility into inbound inventory before a trailer ever reaches a dock door.

This closes one of the most persistent gaps in yard operations: the delay between a truck’s physical arrival and the moment the operations system knows what it is carrying.

KoiRadar^TM: Yard Asset Tracking in Real Time
Once a trailer is inside the yard, KoiRadar takes over. A network of cameras across the facility provides uninterrupted,synchronized visibility into asset location, trailer dwell time, yard congestion, and gate throughput, all updated in real time.

Dock schedulers can confirm a trailer’s physical location before dispatching a driver. Yard managers can identify trailers that have exceeded their dwell window without walking the lot. Gate supervisors can monitor traffic flow across every entry point simultaneously.

Trailer Damage Detection
Most yard technology vendors stop at gate check-in and check-out. Track an asset, log a movement, confirm a departure. That is table stakes. What KoiReader has built is continuous damage detection across the full trailer lifecycle within the yard.

A trailer arrives at the gate and the camera system captures its condition at ingress. As that trailer moves through the yard- repositioned, staged, loaded, the system continues to monitor it. When it leaves the exit gate, a final read compares its outbound condition against its inbound baseline. Any damage that occurred inside the yard and also even while leaving the yard until the exit gate is documented, timestamped, and associated with the specific asset and the window in which it occurred.

Damage claims in large yards are frequently contested because nobody can prove when or where damage happened.

KoiGPT^TM Yard Efficiency Analysis
The data generated by KoiGuard, KoiKiosk, and KoiRadar flows into KoiGPT, KoiReader’s yard efficiency analysis layer. KoiGPT surfaces patterns across gate throughput, dwell time, asset utilisation, and SLA compliance, giving operations leaders the analytical depth to identify bottlenecks, benchmark performance, and make resourcing decisions grounded in actual data.

This moves the conversation from reactive reporting to proactive management for prudent decision-making.

KoiAssist^TM: Agentic AI for Driver Engagement
KoiAssist brings agentic AI to the driver-facing side of the operation. Rather than relying on radio communication or guard intervention to direct drivers once they are inside the yard, KoiAssist provides contextual, real-time guidance: where to stage, which dock to report to, how long the wait is likely to be.

This reduces dwell time, decreases the volume of driver queries hitting operations staff, and keeps the yard moving at the pace the SLAs demand.

Impact Across the Network

What the deployment established, beyond the individual gains at each site, was a network-level operating capability the manufacturer had not previously had. Decisions that once required manual coordination across disconnected systems were now system-driven.

The yard has long been the place where supply chain precision ends and manual judgment begin. That boundary is now moving and KoiReader is steering this paradigm shift.

To discover how similar outcomes can be achieved for your operations: