Intro
In retail, assortment, price and customer service decide the margin, and behind that sits a lot of recurring work on product data, inquiries and analyses. An AI training that stops at slides changes nothing there. With us your team spends a week building on a real retail challenge, for example a tool that generates product descriptions and attributes or an assistant for customer service that prepares recurring inquiries. Instead of a certificate you keep a working prototype you plug straight into daily work. Work happens with tools like ChatGPT, Claude, n8n, Custom GPTs and Gamma, with which category managers and service teams without a coding background build real results 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 product description and every prepared service reply saves time where volume adds up. 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 retail 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 trade and retail
Typical challenges are a product text and attribute generator, a customer service assistant for recurring inquiries, a returns triage tool, an assortment and reporting autopilot and an internal knowledge bot for processes and supplier info. 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 recurring retail work, and measurable practical transfer. At high volumes, every automated routine pays off fast. See the full comparison at /en/comparison/ai-training-vs-ai-hackathon.
FAQ
Do our category and service teams need technical background knowledge? No. With tools like ChatGPT, Claude, n8n and Custom GPTs, non-technical people build real automations too. The tool workshop at the start brings category management, service and marketing up to speed together.
Can we work on our real product and customer data? Yes. You keep full data sovereignty, we work GDPR compliant only within the agreed scope. If needed we start on sample data and transfer the result to your assortment afterwards.
What does the team keep after the week? A working prototype that takes over recurring work, 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.
