Assortment planning computer algorithm
AssigneeInternational Business Machines Corporation
InventorsKushagra Manglik, Abhishek Bansal, Vijay Ekambaram, Vikas C. Raykar
Life of this patent
Estimating the term…
Abstract
Machine logic for selecting a given item for an inventory. This selection of the given item is based, at least in part, upon: (i) an amount of “ensembles” that include the item; (ii) relative popularity of “ensembles” that contain the item; and/or (iii) the relative profitability of ensembles that includes the item. This technology can be provided as part of assortment planning software for retail stores selling items such as: fashionable clothing, furniture sets, jewelry sets, and other types of items that are typically sold in ensembles and have subjective factors (like aesthetics) that play into the attractiveness of the ensemble considered as a whole.
Claims18
A computer-implemented method (CIM) comprising:
- receiving a candidate data set that includes identifying information for a plurality of candidate items are available that be stocked in an inventory of a store;
- determining a plurality of candidate ensembles, with each candidate ensemble being made up of at least three candidate items of the plurality of candidate items;
- for each given candidate item of the plurality of candidate items, determining a number of candidate ensembles to which the given candidate item belongs to determine an ensemble-compatibility rating for the given candidate item;
- and
- selecting a plurality of recommended inventory items from the candidate items, based, at least in part, upon the ensemble-compatibility ratings of the candidate items.
A computer-implemented method (CIM) comprising:
- receiving a candidate data set that includes identifying information for a plurality of candidate items are available that be stocked in an inventory of a store;
- determining a plurality of candidate ensembles, with each candidate ensemble being made up of at least three candidate items of the plurality of candidate items;
- for each given candidate item of the plurality of candidate items, determining an ensemble-compatibility rating for the given candidate item based, at least in part, upon relative predicted popularity of candidate ensembles to which the given candidate item belongs;
- and
- selecting a plurality of recommended inventory items from the candidate items, based, at least in part, upon the ensemble-compatibility ratings of the candidate items.
A computer-implemented method (CIM) comprising:
- receiving a candidate data set that includes identifying information for a plurality of candidate items are available that be stocked in an inventory of a store;
- determining a plurality of candidate ensembles, with each candidate ensemble being made up of at least three candidate items of the plurality of candidate items;
- for each given candidate item of the plurality of candidate items, determining an ensemble-compatibility rating for the given candidate item based, at least in part, upon all of the following:
- (i) relative predicted popularity of candidate ensembles to which the given candidate item belongs;
- (ii) number of candidate ensembles to which the given candidate item belongs;
- and (iii) profit margins associated with the candidate ensembles to which the candidate item belongs;
- and
- selecting a plurality of recommended inventory items from the candidate items, based, at least in part, upon the ensemble-compatibility ratings of the candidate items.
Dependencies are inferred from the claim text.