UNIFIED PREDICTIVE RETAIL ECO- SYSTEM FOR GENERATING PREDICTIONS ACROSS A RANGE OF PRODUCTS

摘要

Disclosed is a method and system for generating predictions for customers for a range of products in retail sector. The method comprises classifying a product based upon exact values of a decision making feature set to generate a product buy point; b) associating the product to the product buy point and to a number of price ranges; c) partitioning the product buy point into as many affordability partitioned product buy points as the number of price ranges; d) computing a seasonality vector and a frugality vector for the product and for the product buy point based upon an actual sale record of the product; f) unifying the customer preference data from the plurality of sources and generating a customer product matrix; and h) applying a singular vector decomposition technique and a reconstitution technique for find out positive predictions.