Intro
In e-commerce the work sits in repetition. Product copy for hundreds of SKUs, customer support around the clock, merchandising by margin and stock, returns analysis and newsletters that actually convert. An AI training that only shows slides changes none of that. With us your team spends a week building on a real shop challenge, for example a pipeline that writes product descriptions from attributes, or a support bot that catches standard questions. Instead of a certificate you keep a working prototype you put straight into the shop. Transfer from classic training is unclear without measurement. In the hackathon it is checked through prototype quality, application and handoff. 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 real challenge, set the toolstack.
- Finalization and preparation. Set up access and 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 e-commerce
Typical challenges are a product text and attribute generator, a customer service assistant for recurring inquiries, a returns triage tool, a review and feedback analyzer and a report autopilot for shop metrics. Your challenge comes from your real shop 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 working prototype and measurable practical transfer. See the full comparison at /en/comparison/ai-training-vs-ai-hackathon.
FAQ
Which e-commerce tasks can the hackathon automate? Product copy from attributes, customer support for standard questions, merchandising recommendations, returns analysis and newsletter variants. Your team picks a real challenge from shop work and builds a prototype that saves revenue or time. More at /en/ai-training.
Do our category managers need a technical background? No. With tools like ChatGPT, Lovable, n8n and Custom GPTs, non-technical people build real results too. The tool workshop at the start brings content, buying and support up to speed together, whatever level they start at. The process is on /en/how-we-work.
What does the shop keep after the week? A working prototype you keep using, plus a team that actually uses the tools instead of forgetting them. a substantial share never applies training content otherwise, our format flips that. Add an internal AI literacy measures record. Comparison at /en/comparison/ai-training-vs-ai-hackathon.
