The retail industry generates enormous amounts of data every day, from building operations and energy consumption to customer environments, equipment performance, and sustainability metrics. However, much of this valuable information remains fragmented across different systems, making it difficult to access, connect, and transform into meaningful insights. In this seminar, David Salzgeber, founder of baiond.io, will demonstrate how intelligent data structuring can unlock the full potential of existing information and create new opportunities for the retail sector. The session will explore how baiond.io brings together data from multiple sources, organizes it into a consistent and scalable structure, and transforms complex information into actionable intelligence. By connecting previously isolated systems and datasets, retailers can gain a clearer understanding of their operations, improve efficiency, and make better-informed business decisions. A particular focus will be placed on practical applications within retail environments, including shopping centers, retail chains, and individual stores. Participants will discover how structured data can support energy optimization, predictive maintenance, operational efficiency, ESG reporting, and sustainability initiatives across entire retail portfolios. The seminar will also highlight the importance of building a reliable data foundation for artificial intelligence, automation, and future digital services. Rather than simply collecting more data, the key is to make existing data understandable, comparable, and usable across different technologies and business applications. Key takeaway: Participants will gain a new perspective on data as a strategic asset and understand how baiond.io can help retailers turn fragmented information into measurable business value, lower operating costs, and more sustainable operations.