Does this work with our shop system?

Yes. We build on Shopify, WooCommerce, Shopware or whatever you use, and connect to PIM and support tool via n8n and APIs. We sort out access before the hackathon days so the sprint runs on real data.

How do you handle product and customer data?

We work in your environment with your accounts. Customer data stays with you, sensitive fields are excluded. The hackathon also delivers the documented internal AI literacy measures record for your team.

Will the copy quality be good enough for the shop?

The generator learns your brand voice from existing top copy and works from attribute data. You keep approval. In practice the effort per text drops sharply while structure and SEO basics stay consistent.

How big does our team need to be?

The Spark format runs in one day with up to 10 people, Ignite over two days with 10 to 15, Blaze over three to five days from 15 people. Pricing on request in the discovery call.

Industry

AI Workshop for E-Commerce, One Day Onsite

E-commerce teams lose time to processes that get more expensive with every new SKU. Product descriptions written by hand for thousands of items. Returns nobody classifies cleanly. Support tickets sitting untriaged in the queue. Reviews nobody analyzes, and newsletters rebuilt from scratch every week. The AI workshop, one day onsite, starts on exactly one of these bottlenecks. Your team builds a first working prototype in shop operations in a single day, on your real data instead of samples. Need more, you scale straight into the multi-day Corporathon hackathon, with a documented competence record under EU AI Act Art. 4, mandatory since 02 February 2025 for companies using AI.

Real prototypes instead of slides
Facilitated by AI practitioners
Ready to run within a week
Documented handoff included

Book a discovery call See the process

Teilnehmende im Plenum eines KI-Hackathons

Built for

The format

Knowledge turns into a working prototype.

AI workshop for e-commerce teams, one day onsite. Build a product copy generator or returns classifier, then scale into the hackathon.

Where e-commerce teams lose time

What the team builds

Challenges from shop life. A product copy generator as a Custom GPT that turns attributes into SEO-ready descriptions in your brand voice. A returns classifier in n8n that labels reasons automatically and surfaces patterns. A support triage with Claude Code that sorts tickets by urgency and topic and suggests reply drafts. A review analysis dashboard built in Lovable, plus a newsletter automation that prepares segments and content.

One week to your hackathon

1. Intro call, we understand shop, assortment and pain. 2. Tools and challenges call, we pick the automations with the biggest lever. 3. Finalizing data and access, shop system, PIM, support tool. 4. Preparation, we set up environment and sample data. 5. Hackathon days, tool workshop in the morning, sprint on the prototype, pitches at the end.

Classic training vs. Corporathon

A training explains how AI could write product copy. A hackathon delivers the generator that fills your next 500 items. That is exactly why usage stays high after the hackathon days instead of fading.

Output, not slides

A hackathon is not a seminar. It is a facilitated sprint where teams rebuild real work with AI.

0 week

from scope to ready-to-run sprint

0 formats

Spark, Ignite and Blaze

0 steps

from call to documented handoff

How it works

Clear steps from scope to handoff.

Intro call

Corporathon + sponsor · goal, scope and date

Challenge design

Corporathon + team leads · real use cases and tool stack

Data & access

Client · approved data, roles and boundaries

Tool workshop

Corporathon · teams can use the stack

Hackathon sprint

Teams · working prototypes

Next step

Ready for your hackathon?

Book a discovery call directly, we clarify goal, format and date in the call.

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FAQ

Questions that should be clear before the first call.

AI workshop for e-commerce teams, one day onsite. Build a product copy generator or returns classifier, then scale into the hackathon.

Slots are usually available within two to four weeks. With a clearly scoped use case it can be sooner.

Usually not for smaller formats. As soon as production systems are connected, we bring IT and security in early.

There is no proof of participation at the end, there is a working result: built workflows that keep running in daily operations.

For teams in marketing, sales, operations, product and IT. Coding skills are not required, the facilitation is built so every team ships a working prototype.

Usually one week: scoping call, use-case selection, access and tool setup. After that the sprint is ready to run.

You decide which data enters the sprint. Access, privacy and boundaries are agreed upfront and we only work with approved material.

You do. Prototypes, automations, workflows, prompts and generated code belong to your company after the sprint.

We work with the stack that fits you: LLM APIs, automation and data platforms, and your existing systems.

Teams of four to six work best. Overall we run everything from a single team up to several dozen participants.

All three work. On site creates the strongest momentum, remote is leaner logistically, hybrid is the usual compromise for distributed sites.