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Retail Personalization

Retail personalization is explained beautifully in this quote by Jeff Bezos.

“If we have 4.5 million customers, we shouldn’t have one store. We should have 4.5 million stores.” –PC World, June 28, 2000

Retail personalization is the process of providing every shopper with a unique journey across every single touchpoint and channel, based on historical data and real-time shopper intent, powered by customer and product Intelligence. The ultimate goal of personalization in retail is to make shoppers feel unique, special, and emotionally connected, to improve their shopping experience.

While almost every retailer today claims to “personalize” their shopper’s experience, very few do it right.

“63% of consumers will stop buying from brands that use poor personalization tactics.” – Smart Insights

Personalization Engine

Personalize eCommerce experiences for every shopper with A.I.Vue.ai helps retailers grow revenue multi-fold with the power of A.I. that constantly learns and re-learns customer behavior as it relates to their business needs.Your own A.I. personalization engine

Vue.ai allows every retailer to customize A.I. personalization engine to work best for their business. The systems build nuanced shopper profiles for every shopper by learning from their actions on the site and mapping it to rich product data. Using this, the A.I. finds, and brings to the surface through the shopping journey, the products in the catalog that the shopper would most likely purchase.

Shopping Cart Abandonment

Shopping cart abandonment is when a high-intent shopper visits an eCommerce website, adds at least one or more products to the shopping cart, and proceeds to exit the website without completing the purchase. Products that are added to the shopping cart but are not purchased are considered to be “abandoned” by the shopper.

Shopping cart abandonment has absolutely nothing to do with the visibility of the website or the offers run in the advertisements. So this cart abandonment problem cannot be solved by giving away more freebies. This requires a careful analysis of why exactly users are bouncing away from the website despite clearly liking the products.