Arranging a store based on customer preferences will never go out of style. Products are usually placed strategically based on customer needs and how much of a product the store wants to move. Product placement is also designed to maximize sales.
But, the nuances from masses of sales data can’t be analyzed by humans alone. They need support from solutions like RPA to automate data processing. Once the data is processed and organized, analytics is enhanced and can be used to benefit the customer experience in-store.