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    LogisticsAI Automation

    Document AI for logistics ops

    An end-to-end document automation pipeline that parses bills of lading, customs forms, and invoices, then writes structured data straight into the TMS.

    Client
    Northbound Freight
    Timeline
    9 weeks
    Team
    3 engineers
    Year
    2024
    Document AI for logistics ops
    12k+Docs / month
    99.4%Field accuracy
    8xFaster than ops
    $0Re-keyed entries

    What we walked into.

    Operators were re-keying every shipment by hand into the TMS. Nights and weekends were a backlog of paperwork, and the error rate was creeping up.

    • Forms came in 17 different layouts across carriers
    • OCR was 'good enough' but not for billing-grade data
    • TMS integration required extreme care on writes

    Our approach, in four moves.

    Tight feedback loops, weekly demos, code you fully own.

    01→

    Form taxonomy

    Catalogued every form type, then built a labeled set of 4,000 documents to evaluate against.

    02→

    LLM + classifier

    Two-stage pipeline: a fast classifier routes the doc, then a focused LLM extracts the schema.

    03→

    Human-in-the-loop

    Confidence-based queue so ops review only the ~3% the model is uncertain about.

    04

    TMS write path

    Idempotent, auditable writes with a one-click rollback if anything looks off downstream.

    Gallery

    A look at the build.

    What we built

    Every surface, considered.

    Form-aware extraction

    Schema per form type, not a generic blob.

    Confidence routing

    Auto-pass, review, or reject — never silent.

    Audit trail

    Every field has a source and a timestamp.

    TMS integration

    Idempotent writes with rollback.

    Retraining loop

    Reviewer fixes feed back into the model weekly.

    Ops dashboard

    Throughput, SLA, and accuracy at a glance.

    Tech stack

    What's under the hood.

    AI
    LangChainOpenAICustom classifier
    Backend
    PythonFastAPIPostgres
    Infra
    AWS LambdaS3EventBridge
    Integration
    TMS APIWebhooksSFTP
    Outcomes

    The numbers we are proud of.

    99.4%Field accuracy

    Across the top 12 form types.

    8xFaster than manual

    From 4 minutes to 30 seconds per doc.

    12k+Docs per month

    Auto-processed with no overtime.

    $310kAnnual savings

    Reallocated from data entry to growth.

    “Our ops team used to dread Mondays. Now the queue is empty by 9am. The pipeline just works, and when it doesn't, we know why.”

    TE
    Tom EriksonHead of Operations · Northbound Freight
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