Logistics · Generative AI & RAG

Every SOP and tariff rule, one question away.

Retrieval across standard operating procedures, tariff schedules, carrier contracts and customs requirements — with the source rule attached to every answer.

  • Retrieval pipelines
  • Fine-tuned domain models
  • Multimodal (text · image · voice)
  • Eval + guardrails

What we build

Generative AI & RAG for logistics, specifically.

  • 01

    Operator SOP assistant

    Procedure retrieved by lane, mode and customer, so a new operator follows the process the account actually agreed to.

  • 02

    Tariff and documentation lookup

    Requirements and restrictions retrieved with the governing rule cited, drafted for a licensed broker to confirm rather than acted on directly.

  • 03

    Contract terms retrieval

    Carrier rate cards, surcharge terms and SLA clauses answerable in seconds — usually the first place clients find money they'd been giving away.

What we measure

  • Accuracy on an operator-graded question set
  • Citation correctness on tariff answers
  • Onboarding time for new operations staff

Instrumented in week one and reported weekly. These are the numbers the engagement is judged on — not a forecast of what they'll be.

Constraints

What has to be true in logistics.

  • 01

    Extraction accuracy is measured per counterparty

    One carrier's invoice layout is a solved problem; another's scanned fax is not. We report accuracy per source so automation is enabled where it's earned.

  • 02

    Customs and tariff answers get citations or nothing

    Classification suggestions carry the source rule and go to a licensed broker for confirmation. An unsourced HS code is a fine waiting to be issued.

  • 03

    Integrations fail, so the design assumes it

    Carrier APIs and EDI feeds go down mid-shipment. Retries, dead-letter queues and a visible degraded state beat a silent gap in tracking.

How it runs

The Generative AI & RAG engagement, step by step.

  1. 1

    Data inventory

    What docs / databases / APIs / feeds matter? What's PII vs public? What changes daily vs quarterly? We map it before writing code.

  2. 2

    Retrieval architecture

    Hybrid (BM25 + vector) retrieval, chunking strategy, reranking, citations. Tuned for your domain not a generic benchmark.

  3. 3

    Eval suite

    Real-world question set with golden answers. Faithfulness, context precision, latency. So you know when changes ship a regression.

  4. 4

    Guardrails

    Prompt-injection defense, PII scrubbing, refusal patterns, output schemas. Especially critical for customer-facing deployments.

  5. 5

    Production + iterate

    Cost-effective inference (caching, fallback models), monitoring, weekly eval reports. Fine-tune when the data justifies it.

Integrations

Systems we wire into for logistics.

  • Carrier and 3PL APIs
  • EDI (X12 / EDIFACT)
  • SAP & Oracle SCM
  • Shiprocket & Delhivery
  • Customs broker portals
  • Snowflake
  • Twilio & WhatsApp Business

FAQ

RAG for supply chain documents: your questions.

  • Can it classify HS codes?

    It can suggest, with the governing rule cited, for a licensed broker to confirm. Autonomous classification is a customs penalty with extra steps, and we won't build it that way.

  • Our SOPs are out of date. Should we fix them first?

    No — index them first. Indexing surfaces the contradictions and the dead procedures faster than a documentation project will, and gives you a prioritised list to fix.

  • Should I use RAG or fine-tuning?

    RAG for facts that change. Fine-tuning for style, format, or domain reasoning. Most production systems use both — and we'll tell you which mix is right after a 1-week discovery.

  • Can I use my own LLM (open-weights)?

    Yes. We work with Llama, Mistral, Qwen, and similar — useful for data residency, cost predictability, and air-gapped environments.

Contact

Talk to us about generative ai & rag for logistics.

Two or three sentences about the workflow you'd start with. We reply within one business day.

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We reply within one business day · NDA on request

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