XONTAINERLogistics ecosystem
Guides: AI in logistics
Short, sourced guides on AI in logistics, customs and supply chains. Each guide answers one question, says plainly what can and cannot be done, and states the status of Xontainer products honestly.
- 01What can AI do in logistics, and what can it not?AI in logistics is a software layer that speeds up repetitive work such as reading documents, forecasting, matching and drafting, while leaving the decision and the legal responsibility with a person. In a well-built system the AI suggests, rules decide and a human approves.
- 02How to connect your AI to your logistics operation (MCP)MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems, so that an AI client such as Claude or ChatGPT can use the data, tools and workflows a server offers. In logistics it is safe only when sign-in uses OAuth, the AI sees only the tools its user’s role allows, every change passes a person and every call is logged.
- 03AI in customs: the machine drafts, the broker declaresAI in customs is an assistant that drafts a customs declaration from invoices, packing lists, CMRs and emails and suggests a likely tariff (HS) code, but does not file the declaration. A licensed customs broker or the declarant files it; neither the AI nor the software acts as a broker.
- 04AI-assisted TMS: what does it add to trip management?An AI-assisted TMS (transport management system) is trip, driver, vehicle and document software to which abilities such as forecasting, document reading and translation have been added. The core job is still keeping trip data in good order; the AI produces suggestions on top of that data.
- 05AI-assisted WMS: what really changes in the warehouse?An AI-assisted WMS (warehouse management system) is software that adds suggestions, document reading and forecasting on top of core warehouse records such as location hierarchy, receipts and issues, counts and docks. Without accurate, scanned records, AI cannot produce anything useful in a warehouse.
- 06Load and vehicle matching: how does a map-first marketplace work?Load and vehicle matching is the marketplace logic that connects a shipper who has freight with a carrier who has free capacity through listing, offer and acceptance steps. AI can suggest the match; the parties decide the price and the acceptance.
- 07What is eFTI, and how does it affect transport management systems?eFTI (electronic Freight Transport Information) is the framework set by European Union Regulation 2020/1056 under which competent authorities must be able to receive freight transport information from certified electronic platforms instead of paper documents. The Regulation applies in full from 9 July 2027.
- 08What is e-CMR, and how does it replace the paper CMR?e-CMR is the electronic form of the CMR consignment note used in international road freight. Its basis is the Additional Protocol to the 1956 CMR Convention, adopted in 2008 and in force since 5 June 2011, under which the parties draw up and sign the note electronically instead of on paper.
- 09A realistic truck ETA: arrival time under tachograph rulesAn arrival time (ETA) under tachograph rules is a forecast that calculates a truck’s arrival not only from distance and traffic but from the driver’s legal driving and rest times. In the EU these rules are set by Regulation 561/2006 and recorded by the vehicle’s tachograph.
- 10Becoming an AI-native logistics company: a roadmapAn AI-native logistics company is one that rebuilds its processes so that the flow of documents, messages and records has AI preparing the draft and a person approving it. Existing systems are not removed; AI connects on top of them and every step is measured.
- 11On-prem GPU or a dedicated server for the company?An on-prem GPU means the AI model runs on a server in the company’s own room; a dedicated server means it runs on a server hosted by a provider but reserved for that one company. The goal is the same in both: the company’s data stays with the company.
- 12AI in logistics and data security: a GDPR and KVKK viewAI in logistics and data security means protecting the trade secrets and personal data in shipping documents as they enter and leave an AI system. The core principles are: data stays with the company, companies cannot see each other, every AI call checks company and role, and a person approves critical steps.
- 13Glossary of logistics, customs and AI termsThis glossary explains the terms you meet when reading about AI in logistics, each in one clear sentence. Every definition is general information; for legal detail see the relevant official source.
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