Guides
Understand & decide
AI in international freight: what it changes for a shipper
In international freight, AI is not a marketing pitch: it automates the tasks that used to waste time - reading documents (packing lists, invoices), extracting product references and HS codes, finding a shipment by its SKU, spotting an anomaly or a delay before it costs. Used well, it removes re-keying and makes data reliable, provided it is backed by a team that acts. The real value is not AI alone, but AI inside a control platform, serving concrete decisions.
Automated freight reporting: steering costs, transit times, and CO2 with data
Useful transport reporting is not rebuilt by hand in Excel at the end of the quarter: it relies on reliable, dated, and exportable data, produced continuously by the freight forwarder's platform. The indicators that matter: on-time rate, transit times by supplier and by lane, cost per unit, gaps between pre-invoice and invoice, and CO2 emissions per shipment for scope 3 and CSRD. Automating this reporting means moving from observation to steering - and ending the chase after data.
Connecting your freight forwarder to your IT systems: API, EDI, and ERP/TMS integrations
A modern freight forwarder exposes an API (and supports EDI) so that shipment data - ETD/ETA statuses, costs, documents, CO2 emissions - flows automatically into your ERP or TMS, with no re-keying. Before you sign, ask for: a documented REST API, webhooks for events, EDI support for high volumes, scheduled exports, and a sandbox to test. The goal is not integration for its own sake, but a single source of data between your IT systems and the forwarder's.
Querying your transport data with an LLM: what is a logistics MCP server?
Yes - that is what MCP (Model Context Protocol) makes possible: a freight forwarder can expose your shipment data to an AI assistant (Claude, ChatGPT...) so you ask your questions in plain language - 'my shipments to Chicago', 'which invoices are still due?', 'my on-time rate last quarter?'. It is the step after the API: data is no longer just dumped into a system, it becomes queryable in everyday language, by you or by your own AI agents. All of it read-only and strictly scoped to your organization.
Managing your transport without email: centralizing tracking and communication
Managing transport by email scatters the truth: a status in one thread, a document in another, a decision lost in a ten-person loop. The result: constant follow-ups, errors, and delays spotted too late. A control platform centralizes shipments, documents, messages, and alerts in one place, shared with the freight forwarder's team. Email becomes the exception again, not the system of record - and you stop chasing information.
Operational excellence in transport: zero re-keying, fewer errors
Re-keying - copying the same data from quote to order, from order to customs, from customs to reporting - is the leading source of errors and wasted time in a supply chain. Operational excellence is not piling up tools: it is entering data once and letting it flow. Automatic document reading, a single source of truth, automatic checks (pre-invoice against invoice), and a few indicators to keep improving. The goal is not technology for its own sake, but fewer errors, faster cycles, and decisions based on reliable data.