Method and system for allocating shelf space
AssigneeKimberly-Clark Worldwide, Inc.
InventorsChristine M. Klaubauf, Jeff Lindsay
Life of this patent
Estimating the term…
Abstract
A method and system for the collection of consumer sales data for use in intelligent management of shelf space in a retail environment based on quantitative analysis of consumer sales data in which interactions between two or more products are quantitatively applied in estimating sales for a particular selection of the shelf space location and/or shelf space amount. Such management may be achieved manually or automatically with the invention.
Claims25
A method of allocating retail shelf space for a category of products based on sales data indicating past transactions of consumers of products in the category, said method comprising the steps of:
- defining a category of products based on a shared characteristic of the products;
- defining a plurality of buyer groups, each group based on consumers who purchase one of the products (referred to as a defining product) in said category within a defined time period;
- for each buyer group, determining as a function of the sales data a preference for the consumers in each buyer group to purchase each of the other category products other than the defining product of the buyer group (referred to as a second product);
- and
- allocating the retail shelf space based on the preference for the consumers in each buyer group to purchase each of the other category products other than the defining product of the buyer group.
A method of allocating retail shelf space for a category of products based on sales data indicating past purchases of consumers of products in the category, said method comprising the steps of:
- defining a category of products based on a shared characteristic of the products;
- defining a plurality of buyer groups, each group based on consumers who purchase one of the products in said category within a defined time period;
- for each buyer group, determining as a function of the sales data a preference for the consumers in each buyer group to purchase each of the other products within the category, other than the product which defines the buyer group;
- predicting a sales impact based on the preference for the consumers in each buyer group to purchase each of the other products within the category, other than the product which defines the buyer group;
- and
- allocating the retail shelf space based on said predicted sales impact.
A system for allocating retail shelf space for a category of products based on sales data indicating past transactions of consumers of products in the category, said system comprising:
- data collection instructions for collecting data relating to purchases by a plurality of defined buyer groups from within a defined product category, wherein the product category is defined based on a shared characteristic of the products, and each group is defined based on consumers who purchase one of the products in said category within a defined time period is defined;
- a database for collecting sales data;
- and
- a computer system which, for each buyer group, determines as a function of the sales data a preference for the consumers in each buyer group to purchase each of the other category products other than the defining product of the buyer group (referred to as a second product) and allocating the retail shelf space based on said preference for the consumers in each buyer group to purchase each of the other category products other than the defining product of the buyer group.
Dependencies are inferred from the claim text.