People have gotten used to e-commerce sites recognizing them, and offering recommendations and suggestions for products they might be interested in based on their preferences and purchase history. Consumers have come to expect physical stores to know them and their tastes as well as e-commerce stores do. So far, physical stores have had to rely on their sales assistants for this role. However, as inventory expands and customers increasingly shop on multiple channels, it becomes harder and harder for sales assistants to be able to know each customer and give meaningful recommendations. The solution: Artificial Intelligence (AI) is an increasingly affordable technology that can be implemented in-store to generate customer recommendations on the POS. This kind of system uses purchase data from the specific customer and combines it with the purchases of customers with similar tastes to produce relevant product recommendations that the staff can then convey to the customer in the form of a personal suggestion. Products like LS Recommend bring together shopping behavior from all of the retailer’s channels, increasing the basket size for the retailer while giving customers the personalized interaction with the brand that they demand. Technology is an investment – but one that pays off when it comes to breeding loyalty with today’s demanding consumers. If your current system doesn’t meet consumers’ expectations, don’t fret! Contact our experts and learn how you can upgrade your system to meet your, and your customers’, needs.