Traditional brick-and-mortar stores are increasingly frustrated by competition with online retailers. Online websites often have a cost advantage because they do not have to maintain physical storefronts, pay salespeople, and can use more efficient logistical and operational strategies. This sometimes allows them to offer better prices to consumers. With the emergence of recommendation engines, they appear to be gaining another advantage—the ability to suggest products to customers based on their past shopping history and personal characteristics. Pretend you are a senior manager for a national retail chain. How could your company make use of recommendation systems to suggest products to customers shopping in your store? Outline a creative approach to this problem that identifies the information you would need to collect, the in-store technology required, and the manner in which you would inform customers about the personalized recommendations generated by your system.