Abstract: Methods and systems for optimizing inventory management by forecasting Stock Keeping Units (SKUs) to be supplied by a consumer packaged goods (CPG) manufacturer to a retailer are provided. A data receiving module receives marketing data, point of sale data, social-media data, and miscellaneous data from one or more data sources. An analysis module, analyzes the social-media data, computes a social-media score. The analysis module generates one or more variables from the marketing data, the point of sale data and the miscellaneous data. The analysis module transforms the one or more variables and the social-media score into one or more transformed variables. A forecasting module forecasts a demand of the SKUs. The forecasting module determines a probability of the OOS and a replenishment time in order to obtain an optimal solution indicating the SKUs to be supplied by the CPG manufacturer to the retailer.

Abstract: The present disclosure relates to conjoint analysis, and more particularly to systems and methods for simulating a new product at different price points and different attributes. In one embodiment, a method for simulating performance of a product is disclosed. The method comprises: providing a profile of the product and a corresponding choice card, wherein the choice card assists selecting of a sub-set of an updated first set of attributes and levels based on the profile; performing an analysis on the selected sub-set of the updated first set of attributes and levels; and simulating a plurality of scenarios to determine an optimum scenario depicting the performance of the product.

Abstract: System(s) and method(s) for market positioning of a plurality of similar products of a plurality of competing brands are described herein. In one implementation, the method includes processing market data of the plurality of similar products of the plurality of competing brands to obtain a volumetric dataset. The method further includes creating one or more models based on the volumetric dataset to estimate parameters, wherein the parameters are indicative of at least one of cross demand elasticity, brand switching and share switching among the plurality of similar products of the plurality of competing brands. The method also includes simulating the one or more models to generate an output indicative of the market positioning of the plurality of similar products of the plurality of competing brands.