Your customers are likely to become repeat buyers after a personalized shopping experience. Ecommerce companies deal with gargantuan amounts of data, which makes it very difficult to make sense of it all if you do it manually. Thankfully, there are many intelligent tools around that use AI to analyze massive amounts of data and show patterns and actions to the merchandiser.
Intelligent Product Recommendations With recommendations and searches tied together and empowered by AI, the recommendation logic can adjust to each customer in real time by combining customer data with customer behavior. The system analyses clicks, shopping cart content, search terms used by customers, demographics, previous purchases, and even the weather.
Let visitors benefit from crowd wisdom Shoppers often search for items that go well together. You can inspire them by offering products that other people bought after looking at the same product. You can also show them what are other people are buying right now. Booking.com does a great job showing how many people are looking at the same hotel at that moment and how many booked it today.
Inspire with the best-selling products Personalized recommendations display popular and trending products. They are suitable on the home page to welcome visitors, on category pages to show popular products for the specific category, and on the No Results page.
Give abandoned products another chance You should develop customized recommendations based on the visitor’s previous intentions and gives these products a new chance. Remind customers about viewed products, products in a wish list, and in abandoned carts.
Learn more about merchandising and personalization with our Ecommerce training.
Learn more in the Merchandising section of Digital Commerce Canvas and 
Understanding Searchindising in Ecommerce
