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Wayam AI
ManufacturingFinanceRepresentative scenario

Fleet Yard Traffic Management & License Plate Recognition at Docks

An intermodal logistics hub managing 1,000 daily tractor-trailer arrivals across 80 loading docks and staging yards.

Run on Arjuna · Plant Operations & Safety

Blocks routed across a yard grid into numbered dock bays

The challenge

    01

    Manual gate check-ins using paper logs created 45-minute truck queues on access roads during morning peak hours.

    02

    Yard hostlers spent hours driving around searching for specific trailers assigned to loading docks.

    03

    Unclaimed detention fees accumulated because gate arrival and departure timestamps were recorded manually.

How Arjuna solves it

    01

    Retrofit Gate Camera ANPR & Container ID Recognition

    Arjuna parses video feeds from standard gate security cameras, reading tractor license plates and shipping container codes automatically with 99.2% accuracy.

    02

    Automated Gate Barrier Opening

    Cross-references recognized plate numbers against scheduled delivery appointments, opening automated gate barriers in 3 seconds.

    03

    Real-Time Yard Staging Map Updates

    Tracks trailer movements inside the yard, updating digital yard maps with exact parking bay coordinates.

    04

    Automated Dock Assignment SMS

    Dispatches automated SMS instructions to truck drivers directing them to open loading dock numbers upon gate entry.

    05

    Audit-Ready Detention Timestamping

    Logs precise, tamper-evident gate entry and exit timestamps into transportation management systems (TMS).

The outcome

truck gate check-in turnaround time reduced
0 minutestruck gate check-in turnaround time reduced
unbilled detention charges using automated, audit-ready camera
$0unbilled detention charges using automated, audit-ready camera
  • Truck gate check-in turnaround time reduced from 45 minutes to 15 seconds.

  • Eliminated truck queuing on external access roads completely.

  • Recovered $620,000 in unbilled detention charges using automated, audit-ready camera timestamps.

Representative scenario: a modelled industry situation showing how this accelerator applies. Figures are projections, not a named client result.

Capabilities used

Every accelerator is assembled from the same capability layer, so a workflow you adopt here shares its foundation with the rest of the portfolio.

Bring us the version of this that you actually have.

Every engagement is fixed-scope and outcome-guaranteed. The scoping conversation starts with your systems, not with a template.