To explain the data challenge, Walter used a striking analogy: city traffic. If data flows in different industries were compared to traffic systems, each industry would resemble a different city. The aerospace industry, for example, would be comparable to a city like Zurich: highly regulated, highly structured and tightly controlled. The automotive industry might resemble Tokyo: extremely large and complex, but still highly organised and rule-based. And the textile industry? “Something like Lagos or Karachi,” Walter said. “Extreme complexity, very little regulation, very high fragmentation and very limited infrastructure.”
This comparison illustrates the core problem. The fashion industry is not just complex – it is structurally fragmented, globally distributed and often still poorly digitised. Data is exchanged via emails, PDFs, WhatsApp messages and Excel sheets across continents and companies. Walter illustrated this with a typical real-life example: a freelance designer in Paris works for a Spanish brand, receives a fabric sample via WhatsApp from an agent in Hong Kong, production takes place in China and Vietnam, goods arrive in Rotterdam, are distributed across several European markets and sold through different retail and e-commerce channels. After presenting this scenario, someone in the audience told him: “You just described exactly how our company works.”