Use RPA and AI to gather insights on product placement based on past sales data. RPA can gather data on customer behavior like visit duration, sections visited, and location of hotspots through various sources such as store heat maps, purchase history, and survey responses. AI would then use this data to identify patterns and trends in customer preferences to enable store planning decisions. This helps retailers strategically place products based on the customers’ requirements and help them to have a great shopping experience. The automation also constantly compares the changing behaviors to suggest updates to store layouts.