In the middle of Berlin, we are crafting the future of retail, so that retailers can optimize the promotions they offer their customers. The artificial intelligence we have developed is based on cutting-edge machine-learning algorithms. It analyzes customers’ purchase histories and calculates the right inducement (the combination of product, discount and time) that will as efficiently as possible persuade a customer to buy a product.
Our team comprises leading machine-learning experts, developers of real-time applications, as well as strong management with experience in the industry. For our employees, SO1 is more than a job – it’s their passion and fascination, for which SO1 provides a home.
SO1 is supported by leading tech investors.
MBA. Economist. Former brand manager and market researcher at Henkel.
Computer scientist. 10 years experience in consumer marketing and SaaS models in various start-ups.
Computer scientist. 15 years experience in till technology at Diebold Nixdorf.
Mathematician. Former director of market research in Western Europe at Henkel. 25 years experience in FMCG market.
Physicist. 10+ years experience in building revolutionary algorithms.
MBA. Economist. 15+ years experience in FMCG & loyalty card market. Former head of trade marketing at Mars and head of brand sales at Payback.
More than 23 years experience in venture capital and technology in Germany and the US. Former program manager at Microsoft in Seattle.
Ex-president of Catalina International and ex-president of EYC. Over 20 years experience in global sales, marketing and general management in CRM and technology driven, customer centric marketing service companies
Partner at Shortcut Ventures. Shortcut is focused on investments in early-stage start-ups in digitalization. Successful co-founder of two companies (handy.de, blau.de), that were subsequently sold.
Leading FMCG expert and former head of international sales at Henkel. More than 25 years FMCG experience.
Founder & CPO of Analyx. Trained at McKinsey and inspired by possibilities of big data analytics.