Sentient AI – e-commerce personalization

In the present hyper-commoditized market where major brands dominate the competition on logistics and price, the best way to win customers is through outstanding experience. Personalization is the key to delighting consumers online at scale. In the end, constantly appreciating customers and delivering on the brand promise is how a brand remains relevant. And although personalization has been around for quite a while, using artificial intelligence for the same creates a whole different experience through tools laser-focused on e-commerce personalization in the following ways:

Optimized send frequency

With contextual e-commerce personalization, digital marketers now have a brilliant opportunity to make content that is relevant to a person using the user’s current situation. Moreover, AI is expected to bring a change to solve the problem of marketing pressure being too high. AI can be used to analyze a client’s purchase history as well as their email habits. Such analysis of demographic and behavioral data is used to ascertain a user’s preferred content type as well as the appropriate time to send the content. Branded content will come in via the rich data drawn from the client interaction with content, displaying consumer preferences and purchasing stage.

Unified programmatic media buying.

Through Artificial intelligence, an additional dash of relevancy on programmatic ads can be achieved. On the side of the consumer, AI helps in creating individualized ads that specifically target a website visitor. Also, AI bots take care of the payment and invoices of ad transactions providing digital marketers more necessary information.

Chatbot-based customer service

More than fifty percent of companies fail to identify their customers during contact hence losing business. Automated bots not only create a seamless customer service experience but also respond on time. Bots work by addressing the customers purchase history and the preferences that are already known. Moreover, chatbots are a cheap way of handing customer service through phone. However, bots will only bring hyper-personalization benefits if they have access to collective shopper profiles with real-time data.

Predictive customer service.

Knowing when a customer will reach out next is important. A new artificial intelligence technology that is able to predict with more than eighty percent certainty why, on which conduit, and for which merchandise distinct clienteles will seek out help next.

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