Personalization has become central to a great shopping experience. Consumers expect retailers to know their tastes and to provide the products they want, where and when they want them. To do that, retailers need to follow each customer’s preferences and be ready to provide personalized recommendations. AI makes that possible by constantly analyzing masses of customer data to provide accurate, up-to-the-minute insights. The most innovative retailers have begun using AI-enabled recommendation solutions to analyze shopping behavior and deliver predictive insights that enable the sales team and the e-commerce site to offer relevant product ideas and recommendations. A great example is Apple retailer Humac in Denmark. They implemented LS Recommend, an AI recommendation service that suggests items the customer might need. The system even checks that the extra items have not already been added to the customer’s basket before making a suggestion! In the first three months of use in Humac, sales of recommended items led to total margin growth of 46 percent, while customers’ basket size grew, and return visits to buy forgotten accessories fell. These are just a few of the ways that today’s innovative retailers are using AI to create rich, personalized shopping experiences. These forward-thinking retailers are forging ahead with new ideas that put the customer at the center of the business. As AI and machine learning continue to develop, we can look forward to more exciting developments over the next few years. In the meanwhile, you too can be one of the retailers that, like Humac, are offering tomorrow’s experience today. Want to know how LS Recommend can help you grow your basket size and deliver innovative experiences? Contact us today.