Many web sales businesses already have the critical stepping stones in place for sophisticated modern personalisation engines. Elastacloud's latest AI based web recommenders now deliver a true connection to the individual customer for merchants, taking recommendations to the next level by combing each customer’s browsing and purchase history at scale to understand their preferences for things like categories, brands, colours, fabrics or styles. Data Science is used to examine customer similarity to determine items that particular customers might like based on what other people in their segments are interested in. This technique, combined with an understanding of product-to-product affinity, provides the true one-to-one personalised recommendations that merchants should aspire to.
Key to a cross-sales strategy is the ability to take sales and website session information and make accurate Recommendations to known and anonymous users. The strategy and approach necessary is a method which will see scale information being processed by combining AI and big data technology to provide results back to the web through APIs and to website search through search recommendations capabilities.
