How can you capture clean, standardized data from any point-of-sale system—without ripping and replacing your tech stack?Our guest, Jakub Ruzicka, Chief Product and Technology Officer at EYOS, breaks it down. Drawing on his background in statistics, NLP, and scale-up leadership, Jakub shares how his team is solving one of retail’s messiest challenges: fragmented transaction data and limited visibility into offline sales.YRS has developed a platform-agnostic solution that sits directly on any POS device, providing real-time insights, marketing visibility, and even fraud detection potential—without the need for hundreds of custom integrations.“The main value it really brings is that it sits on top of any point of sale device... the normal way how companies would get insights into such data would be pretty much integrating hundreds of APIs... and especially in regions like South Asia, this might be quite tricky. Just capturing everyone is impossible without a universal solution.” – Jakub RuzickaWhether you’re in retail, fintech, marketing, or data strategy, this conversation answers key questions about where AI and product thinking are merging to deliver real business outcomes.If you’ve ever wrestled with messy integrations, incomplete dashboards, or missed opportunities because of poor data visibility—this one’s for you.