ClearFuture Predictive analytics

In the field of predictive analytics "Omni's Lanit" is a main product service of personal recommendations ClearFuture created based on an analysis algorithm of consumer behavior. According to developers, the deep analytics of "Big Data" gives the chance to calculate, purchase of each specific goods by each specific participant of the loyalty program is how probable.

Such forecast can be made concerning any client, having analyzed behavior of other clients similar to it on characteristics. It allows to formulate the personal offer for each buyer, taking into account both its own individual needs, and tasks of the seller in the market at the moment. ClearFuture should compete with the built-in module of predictive analytics SAP and solutions of the companies Loymax and Manzana.

The predictive analysis of consumer behavior is the cornerstone of an operation algorithm of service of personal recommendations ClearFuture. Possibilities of deep analytics based on Big Data technologies allow to calculate the probability of purchase of each goods by each participant of the loyalty program. On the basis of it it is possible to construct the personal offer for each buyer taking into account the relevant marketing purposes of the retail companies. The solution gives the chance of the analysis of a sales history, a consumer customer behavior and preparation of individual offers from the commodity directory of shop for each buyer or groups of buyers.