As retailers juggle with tens of thousands of items that are sold to a potentially large number of thousands or millions of customers, there are about billions of transactions – and enormous data is generated. A great shopping experience is one of the critical elements that form a buyer’s perspective of the retail brand.

Conventional Predictive Analytics allows humans to gauge and spot statistical trends from a vast collection of data. Machine Learning, on the other hand, is powered by algorithms to detect trends that help make quick predictions with explicit programming. As shopper data can generate real-time and actionable insights with robust analytics, Machine Learning promises to transform customer journeys into great hassle-free retail shopping experiences at the micro-level.