Intro
In logistics, lead times and clean data decide the margin, and yet teams still stick to manual status checks, freight papers and Excel dispatch. An AI training that stops at slides does not solve that. With us your team spends a week building on a real logistics challenge, for example an agent that bundles shipment status across carriers or a tool that reads and checks freight documents. Instead of a certificate you keep a working prototype that takes manual work off your hands daily. Work happens with n8n, Custom GPTs, Claude and Cursor, tools with which dispatchers without a coding background build real automations too. Transfer from classic training is unclear without measurement. In the hackathon it is checked through prototype quality, application and handoff. The benefit is concrete, every automated status check and every checked invoice saves time where errors add up expensively. In just 1 week from first contact to result, including an internal AI literacy measures record.
Next steps to your hackathon
- Intro call. Clarify starting point, teams and goals.
- Tools and challenges call. Pick the logistics challenge, set the toolstack.
- Finalization and preparation. Set up access and sample data, GDPR compliant.
- Tool workshop and sprint. Hands-on on your own case with live coaching.
- Result pitches. Each team shows its prototype.
Industry challenges for logistics
Typical challenges are a shipment status agent across multiple carriers, a document reader for freight papers and customs documents, an invoice check assistant, a request-to-quote tool for forwarding and an internal knowledge bot for processes and edge cases. Your challenge comes from your real daily operations.
AI training vs. AI hackathon (short)
A classic training ends with a certificate and retention that is unclear without transfer measurement. The hackathon ends with a tool that takes over manual steps daily, and measurable practical transfer. In a business with thin margins, every saved manual step counts. See the full comparison at /en/comparison/ai-training-vs-ai-hackathon.
FAQ
Do our dispatchers need technical background knowledge? No. With tools like n8n, Custom GPTs and Claude, dispatchers and clerks build real automations too. The tool workshop at the start brings everyone up to speed, whatever level they start at.
Can we work on our real shipment and invoice data? Yes. You keep full data sovereignty, we work GDPR compliant only within the agreed scope. If needed we start on anonymized sample data and transfer the result to your system afterwards.
What does the team keep after the week? A working prototype that takes manual work off your hands, a team that actually uses the tools, and an internal AI literacy measures record. More on the process at /en/how-we-work and formats at /en/formats.
