Landleben: understand first, automate second
A concept store in Teufen, Switzerland, had a fresh brand and a new website, and still friction in daily work. The question was not which software was missing, but what the business actually needed.
Case studies · 24 September 2026 · 5 min read
A small business does not need more software first. It needs a clear view of how orders, information, and decisions move through the day. At Landleben, the right improvements connected the brand, the everyday work, and the technology.
AI is not the point in itself. It can prepare information and ease repetitive work. Approvals, prices, and financial decisions stay with the people responsible for them.
The brand was the visible beginning
Landleben is a concept store in Teufen. Its floristry, home accessories, and selected specialities form one shared experience. The old website showed little of that, even though the quality had been there all along.
We developed the existing identity further and carried it into the website and print. That made visible what the business already stood for. The work did not yet resolve every friction behind the scenes.
Daily work decides what matters next
In an owner-led business, customer contact, order planning, purchasing, invoicing, and the shop floor are closely connected. Much of it runs well, precisely because it has settled into place over the years. Improve one part, and it quickly shows how much another part relies on it.
So the next step began with observation, not a software choice. What information comes in? Who needs it? Where does an order change medium? And how do the people responsible recognise the current status?
Rules for each change
- Keep existing tools while they reliably do their job.
- Prove a pilot in real work before expanding it.
- Keep originals and changes traceable.
- AI prepares. A person checks and approves.
- Give each type of information one leading source, not several parallel lists.
Visibility before automation
The first benefit appears once the status of a task becomes visible to everyone involved. A team should see at a glance what is new, what is being checked, and what step is still missing. That cuts down on questions and shows which automation is actually worth building.
On a delivery note, AI can later order the line items, pre-fill the fields, and flag an unclear quantity instead of guessing. It must not invent anything. A person still approves any payment, booking, or price change.
FAQ
No. The approach is deliberately gradual. Existing workflows stay in place during a pilot until the new solution proves reliable in daily use.
No. AI can prepare information and flag differences. A responsible person still reviews financial data, bookings, and price changes.
The method, not the finished solution: understand the real workflow first, then create visibility, measure a small pilot, and only then expand. The concrete solution still depends on the business.
Mygenzy works with small and mid-sized businesses on processes, marketing, and AI. This article was created with the help of AI and reviewed by people.
See the whole story
From the shop to the florist's knowledge to the next step: the case study shows what is done and what is still to come.