Saxon AI

  Retail is a data-rich industry. Retailers interact with millions of customers every year and produce huge volumes of data. Catering to the needs of these customers while being proactive in the highly competitive market is challenging. However, retailers can use data in their possession to their advantage by leveraging predictive analytics. Let us explore five major applications of predictive analytics in Retail.  In our previous blogs, we have covered how predictive analytics work for Manufacturing, Healthcare, Finance, and Insurance. Applications of predictive analytics in Retail Delivering personalization to customers If you look at reviews for a retailer on Google, you may find negative reviews and 1-star ratings for inconveniences and unpleasant experiences customers might have faced. As a shopper, you often count these reviews and ratings in your purchase decisions, don’t you?   Customer experience is key. It directly impacts brand loyalty ...