Case Study · Logistics

VisionChain Freight Revenue Intelligence

Using existing dock CCTV to find under-billed freight, validate NMFC classes and recover revenue.

Industry: Logistics
Category: Decision Support
Capabilities: Computer Vision, Decision Support, Workflow Automation

The problem

Freight terminals billed on shipper-declared dimensions and classes. Inspections were sampled by hand, so under-declared freight and OS&D disputes went unrecovered.

Existing manual process

Dock staff measured a small sample of shipments by hand and billing teams reconciled discrepancies from paper notes and photos.

Agent / workflow deployed

VisionChain ingests existing dock and yard CCTV, dimensions each shipment, validates NMFC class against the bill of lading, flags billing variances and attaches photo evidence for corrections and claims.

Systems touched

Dock / yard CCTVWMSTMSBilling system

The workflow

What the agent does, step by step.

01
CCTV ingestion
02
Dimensioning and NMFC validation
03
Billing reconciliation
04
OS&D evidence capture
05
WMS / TMS correction sync

Billing and claims teams approve every re-bill and dispute decision.

Operating model

Before and after.

Before

Sampled manual inspection; most under-billing never detected.

After

Every shipment checked from existing cameras; billing teams act on evidence-backed variances.

Measured results

Verified before published.

Metrics pending verification

No metrics are published for this case yet. Once the customer confirms the measured change against their baseline (turnaround, cost per transaction, accuracy), we will add it here.