This is the third episode of Retail Eye-Openers, a three-part podcast series produced in collaboration with Impulso. The series explores how data sharing and retailer partnerships drive sell-through and reduce overstock.
In this conversation, Konrad Olsson speaks with Andreas Weitkamp, fifth-generation owner of Schnitzler in Münster, about what genuine partnership between brands and retailers looks like in practice. He explains how continuous dialogue, simple but consistent data sharing, and human presence in the store can transform performance — and why the real bottleneck is not access to data but taking action on it. The discussion also touches on values, longevity, and why a 133-year-old retailer is looking to AI not for hype, but for practical buying support.
Key takeaways
1. Partnership must run through the whole season
Weitkamp argues that the strongest brands are present from collection planning to end-of-season analysis, not just at sell-in. They engage selected retailers early, stay in close contact as products hit the floor, and review what worked — and what did not. Others still “sell and maybe once in a selling season they ask how you sell it, and then you see each other in Florence again.”
2. Data is available – action is missing
Schnitzler can provide detailed sales data by style, size, colour, timing, and sell-through speed. The problem is what happens next. As Weitkamp puts it: “We can provide every brand with every data they need. But the most important point is take action on that.” Too often, data is sent to brands with little feedback on how it informs product development or allocation.
3. Human contact builds real collaboration
For Weitkamp, the best partnerships combine data with regular, low-friction communication. Sometimes it is as simple as “just a WhatsApp on Monday morning… ‘Is everything okay? Can I do anything? Have a great week.’” Store visits, time on the shop floor, and honest conversations about what does not sell are as important as dashboards and reports.
4. Values are a retailer’s true differentiation
In a market where “the products are available everywhere. Online, offline, wherever,” Schnitzler competes on values and community rather than price. The goal is to be “the right store for me,” where customers feel seen, advised, and not pushed into buying items they will not wear. That social contract underpins long-term loyalty — and gives retailers credibility when feeding insights back to brands.
5. AI should make buying decisions easier, not more complex
Looking ahead, Weitkamp wants AI that is practical and simple: tools that, for example, analyse past performance of a jeans model and recommend the right size curve for next season. He notes that many retailers are “not really in that digital thing,” so systems must be easy to use and clearly tied to economic outcomes. The ambition is clear: “The exchange of data, the work with data will get easier… The biggest thing we need to solve is what we do out of it.”