Personalized store layouts based on customer preferences and behavior
Designing store layouts that cater to individual customer preferences and behavior can enhance the shopping experience and increase sales. By leveraging technology such as machine learning and data analytics, retailers can create unique store layouts for each customer. This can involve rearranging products, optimizing aisle navigation, and personalized product displays. Market size: According to a report by Grand View Research, the global retail analytics market size is expected to reach $11.1 billion by 2027, with a compound annual growth rate of 19.5%.
Retail analytics
United States
