Embracing The Ecommerce Recommendation Engine To Build Customer Loyalty

As more and more customers adopt buying online as their primary means of shopping, e-commerce sites must embrace technologies which replicate and replace real word aspects of the selling process. When items are purchased by customers, more often than not, there are opportunities to sell them items which compliment the primary selling item to increase profits. Traditionally, these opportunities to cross and up-sell is handling by the in-store sales force. In the e-commerce space, breakthroughs in technology have lead to the ability to achieve similar outcomes. With advancements in AI, an ecommerce recommendation engine can be implemented to provide customers more value while simultaneously increasing sales.

What lies at the heart of the ecommerce recommendation engine is the ability to give each customer a personal, individualized shopping experience. Unlike traditional algorithms used to analyze shopping habits, the algorithms powered by the AI which are the backbone of the recommendation engine focuses on the preferences of each shopper instead of drawing conclusions from a group data set. This is accomplished, because the recommendation engine has the capability to gather individualized purchase information on each of the site’s visiting customers. With this knowledge, shoppers of the site are guaranteed a personal shopping experience that is tailored to their own needs and history.

As time goes on, more and more e-commerce retailers will move to adopt and implement recommendation engines, because of the flexibility and opportunity they provided in maximizing sales. No longer is it enough to simply post and advertise product that is backed by traditional analytics. This will not enable e-commerce stores to compete in the market or stand out amongst the crowd. Embracing a recommendation engine gives e-commerce retailers the ability to connect with their customers and differentiate themselves from their competition by providing a genuinely personalized shopping experience. This by-product of the recommendation engine’s ability to focus and target marketing campaigns to individuals will put the right product in front of the right customer at the right time.

Visit: https://www.bloomberg.com/news/articles/2017-02-06/silicon-valley-hedge-fund-takes-on-wall-street-with-ai-trader

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