A tool, method, and system for assessing an incremental value of one or more items in an item assortment are disclosed. The tool can receive historical purchasing data, which can include a plurality of customers purchasing one or more items of a plurality of items in an item assortment. The tool can use the historical purchasing data for the plurality of customers to simulate execution of removal of an item from the item assortment, wherein removal of the item from the item assortment causes an incremental loss associated with the item. The tool can order any number of items of the historical purchasing data. The tool can execute scenario simulations, and the tool can account for probabilities when interacting with the historical purchasing data. The tool can display assessment data and receive inputs via an interactive user interface. The tool can launch the assessment data in a downstream application.

The embodiments of the present disclosure herein address unresolved problems of elasticity calculation through a dynamic multi window approach. Embodiments herein provide a method and system for a dynamic time window-based point elasticity calculation for a retail merchandise. The system is configured for forming different time windows and an average demand of each window is used to calculate point elasticities. It is assumed that the market has an inherent delay in responding to price changes. But time to respond is unknown and that also varies from product to product, market to market and season to season basis. So, a few demand points are left before and after the price change. Again, the size of the window is also set to different values, to get the effect of price change in different timescales, so that at the final stage, only the sustained and prominent shifts in average demand prevail.

Provided is an information providing device, a method, and a program capable of visually grasping a contribution degree of an evaluation factor with respect to a contract intention or a recommendation intention for others of a customer. An information providing device includes: a survey data acquisition means configured to acquire evaluation data including evaluation values for evaluation items for a target product or service, the evaluation data including evaluation values for a plurality of evaluation items related to a contract intention or a recommendation intention for others; a multivariate analysis means configured to calculate contribution degrees of a plurality of explanatory variables with respect to an objective variable by conducting a multivariate analysis based on the evaluation data using an evaluation value for the contract intention or the recommendation intention for others as the objective variable, and evaluation values for a plurality of evaluation items in the evaluation data as the explanatory variables; and an analysis result output means configured to display an analysis result from the multivariate analysis means on an information terminal capable of communicating via a network.