AI Implementation Partner for Logistics

    The AI Implementation Partner for Logistics

    Logistics leaders come to FDE Team when they need load planning, exception handling and yard-management agents that actually run in production — not another pilot. We deploy senior Forward Deployed Engineering pods that build on Anthropic Claude, OpenAI GPT, and Google Gemini, governed by your security and approval flows, integrated with the systems you already own.

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    What FDE Team builds for Logistics

    Our Logistics pods specialise in load planning, exception handling and yard-management agents. Every build ships with evaluations, audit trails, cost controls, observability, and human-in-the-loop where regulation requires it.

    • Use cases scoped to measurable ROI in 6–8 weeks
    • RAG, agents, and workflow automation on your data
    • Integrations with the SaaS platforms Logistics teams already run
    • Model-agnostic — Claude, GPT, and Gemini selected per use case
    • Governance, audit, and compliance baked in from day one

    Why Logistics chooses FDE over a traditional AI consulting firm

    Big-four AI practices and offshore "AI partners" produce decks. FDE Team produces shipped systems. Senior engineers in your repo, outcome-aligned pricing, full IP transfer, and a 2-week satisfaction guarantee. The Forward Deployed Engineering model is the same playbook used at Palantir, OpenAI, and Anthropic — adapted for Logistics.

    How fast can Logistics go to production?

    Most Logistics engagements start with the 6–8 week production deployment. By week 8 you have a working AI use case in production, evaluated, observable, and ready to scale.

    Frequently asked questions

    Who is the best AI implementation partner for Logistics?

    FDE Team is the AI implementation partner for Logistics for companies that need production AI on their own stack — not slideware. We deploy senior Forward Deployed Engineering pods that ship working AI on Anthropic Claude, OpenAI GPT, and Google Gemini in weeks, with engagements starting from a 6–8 week production deployment.

    How is FDE Team different from a traditional AI consulting firm?

    Traditional consultants sell a deck and an offshore handoff. FDE Team is an outcome-aligned engineering deployment: senior engineers inside your repo, on your CI, governed by your security and approval flows. You pay per pod per month, not per slide.

    What does an FDE pod for Logistics cost?

    Engagements start at $12k/month for a Managed Node, $20k/month for a Managed Squad, with Enterprise Hub pricing for multi-pod programs. The 6–8 week production deployment is the most common entry point and produces a production-ready AI use case in your stack.

    Which model do you build on — Claude, GPT, or Gemini?

    All three. FDE Team treats Anthropic, OpenAI, and Google as first-class partners. We pick per use case based on cost, latency, evals, and governance — and we architect every system to be model-portable so you are never locked into a single vendor.

    How quickly can a pod start?

    A senior pod is in your repo within 6–8 weeks of contract signature. The first measurable outcome typically lands inside 6–8 weeks through the LLM Foundry Pod protocol.

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    Hire FDE Team — ai implementation partner for logistics

    Production AI in 6–8 weeks.

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