Developing Machine Learning Models for Dynamic Pricing We previously talked about price optimization and dynamic pricing. Today, we are going to look at using developing machine learning (Ml) in dynamic pricing models. With artificial intelligence (AI) technology now going
How machine learning is changing the world of dynamic pricing? E-commerce has now become an inevitable part of almost everyone’s lives. It’s a world where consumers want goods now, and at the cheapest possible price. So while it is a consumer-centric ecosystem, the retai
“It’s much easier to double your business by doubling your conversion rate than by doubling your traffic.” —Jeff Eisenberg, CEO of BuyerLegends.com It is but only now that medium and small retailers have started to realize why Amazon and other e-c
Without a doubt, data analytics is altering the traditional banking system. In fact, it would not be an exaggeration to say the time has come to re-assess the concept of a bank, as we know it. But that is not the subject of this post. Instead, we are going to look at da
Why is Retail Moving from Predictive to Prescriptive Analytics? A larger trend seen in the retail sector in 2018 is the move by many retailers to move away from predictive analytics and adopt prescriptive analytics. Predictive analytics, for many, is now a case of ‘been
How Predictive Analytics is Reshaping the Insurance Industry Predictive Analytics is increasingly becoming the “weapon of choice” of insurance firms and industries. The reasons are many, ease-of-use is one, and the other is because of advances in Artificial Intelligence
Growing Value of Finance Analytics Since data science went mainstream, financial institutions (FI), including banks have started adopting it, or should one say, adapting to it. Read all about the growing value of analytics in finance and in the financial market. Where fina
The most obvious thing for any Health Care Organization to do is to develop in-house infrastructure to manage its healthcare data. That’s simpler said than done, though. Setting up an Enterprise-grade data warehouse not only involves additional hires, there’s some amount of capital expenditure as well as operational costs involved.
The global healthcare industry, more than any other, suffers from the “data rich but information poor” syndrome. While it finds itself on the brink of a major makeover with the advent of Big Data and analytics, it lags considerably compared to other industries. Many researchers have raised this red flag.