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 ...

  Do you know that the global Intelligent Document Processing (IDP) market is snowballing at a robust CAGR of 37.5%? According to a recent study by  MarketsandMarkets , IDP is projected to account for $5.2 billion by 2027 from $1.1 billion in 2022. The prime reason for this surge in IDP growth can be attributed to the critical need for enterprises to deal with substantial volumes of semi-structured and unstructured documents efficiently. Not just storing and accessing them securely but also facilitating the documents for advanced analytics.   The data insights that lie in all these semi and unstructured documents can fetch a lot of value in the form of analytics and insights. No wonder IDP lies at the core of the operational workflow today for the organizations who have adopted it. Businesses utilizing  Intelligent Document Processing (IDP)  solutions for document processing exemplify how this technology domain is crucial in enabling accelerated operations and innova...