Solutions

Logistics & Supply Chain

AI for global logistics.

Customer requests, contract terms and email volume all grow faster than headcount. Move retrieval, email triage and invoice audit to AI, and the customer-facing side holds cost flat while volume keeps climbing.

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Deployed in Production at.

A.P. Møller - Maersk (Denmark / global)

As one of the world's leading shipping and logistics companies, Maersk replaced its in-house AI platform with Dify Enterprise after a controlled head-to-head evaluation.

The same app shipped 16x faster (1 person × 2 weeks vs. 4 people × 4 months). By late 2025, Maersk had deployed around 90 production apps across customer experience and other business areas, with 25,000 active users.

Three anchor the value: CX-Assist (single-step retrieval, 90%+ time saved, 10-15s replies), CX-Email (auto-resolution targeting 90% of ~20M emails a year), and CX-Tariff Audit (100% invoice coverage). In Q4 2025, Maersk completed a full migration to Dify Enterprise v3.

Read the full storyHow Maersk Replaced Its In-House AI Platform with Dify Enterprise
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  • 25,000

    Live users, running on Dify

  • 20M

    customer emails a year handled by AI

  • $20M+

    Estimated annual value

  • 16×

    Faster delivery vs prior self-built platform

Source: Maersk internal assessment, "Our LLM Journey" (Nov 2025)

Why
this industry, why now.

The constraints

Global logistics businesses operate inside three hard facts. Customers span every country and time zone, which means service volume is continuous and scale is non-negotiable.

Commercial terms are customer-specific — pricing, routing, liability, invoice format — which makes standardised automation difficult without connecting to multiple backend systems at once.

And the operations behind a single shipment are spread across booking, shipment, billing and carrier systems that do not talk to each other by default.

The role of AI

For this industry, AI is not a productivity-suite add-on. It is the lever that holds cost flat as volume grows, by handling the retrieval, classification and validation work that currently requires large operations and admin teams.

Patterns we see.

Cross-system retrieval for service
Most customer questions need data from booking, shipment, billing and carrier systems simultaneously. A Dify workflow retrieves and synthesises that data in a single response, so service agents can answer accurately without switching between systems or waiting for back-office lookups.
Email auto-resolution at scale
Inbound volumes that once required large admin teams now route through AI agents that classify the request, retrieve the relevant shipment data, draft a response, and either send or escalate to a human reviewer. The pattern handles standard queries automatically and flags exceptions for agent review.
Contract-driven invoice audit
Customer-specific terms make manual invoice audit impossible at full volume. Dify workflows load the relevant contract terms and run a structured comparison against each invoice line, flagging discrepancies for human review rather than requiring a manual line-by-line check.

Discuss Logistics & Supply Chain workflows with Dify.

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