Machine learning is a field of computational science that uses statistical techniques to give computers the ability to “learn” with data without being explicitly programmed.
Resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. Things like growing volumes and varieties of available data, computational processing that is cheaper and more powerful, and affordable data storage.

All of these things mean it's possible to automatically produce models that can analyze bigger, more complex data and deliver faster, more accurate results – even on a very large scale. And by building precise models, an organization has a better chance of identifying profitable opportunities – or avoiding unknown risks.

Clear Demand uses machine learning to make more accurate predictions on how shoppers will respond to various price and promotional plans. Financial results can be compared for alternate price and promotional plans to identify the optimal plan for meeting financial targets.
Retailers leverage Clear Demand to find the areas in their business with the greatest opportunity to increase profit and revenue. For example, prices that are too low or promotions that are unnecessary.  Retailers use Clear Demand to identify the best places to invest in low prices to improve price image and drive more traffic and customer loyalty.
Clear Demand is the first price and promotion solution build on a machine learning platform. It is able to analyze the whole enterprise to identify the areas in your business with the greatest opportunity to increase profits and revenue---faster value. It also delivers the most accurate forecast down to the most granular level---more value.