Planogram Generation for Peg and Shelf Items

• US 20120022913A1
• Filed: 07/20/2010
• Published: 01/26/2012
• Est. Priority Date: 07/20/2010
• Status: Abandoned Application

• Current Assignee: Target Brands Inc. (Target Corporation)
• Original Assignee: Target Brands Inc. (Target Corporation)
• Inventors: Volkmann, Jacob A., Thoman, Ralph E., Paul, Liju C., Varughese, George, Miller, Lisa A.
• Application Number:
  US12/840,099
• Publication Number:
  US 20120022913A1
• Time in Patent Office: Days
• US Class Current: 705/7.29
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

In one embodiment of a computer-implemented method, layout data and product data is collected and a planogram development module processes this data to create multiple test planograms for a display space. Multiple potential planograms may be created by placing merchandise in a planogram using one or more optional rules permitting deformation of non-rigid products such as bags of non-fragile items, permitting product impingement into an adjacent shelf or peg space, allowing for hanging products on a pegboard vertically adjacent to a shelf, allowing product placement a set distance from a shelf or pegboard boundary and allowing two adjacent instances of the same product where those instances are in vertical alignment. In this embodiment, an optimized planogram is selected based on the criteria of packing efficiency, sell-through index, the aggregate sell-through index of each item multiplied by the item'"'"'s profit margin, and/or overall planogram profitability.

Claims

1. A computer implemented method for generating a product placement scenario, the method comprising:

retrieving, from a layout database, layout data including a shelving arrangement in a product display area of a retail environment, wherein the shelving arrangement includes both shelf locations and peg locations;

retrieving, from an inventory database, inventory data indicating products to be displayed in the product display area;

retrieving, from a product database, product data indicating for each of the products at least a product size, a product shape, and a corresponding fixture type;

generating a first product placement scenario in which each of the products is placed at a particular shelf location or peg location within the shelving arrangement;

generating a second product placement scenario for the products wherein at least some of the products are placed at a different shelf locations or peg locations within the shelving arrangement, wherein the second product placement scenario is based at least in part on a deformation factor of at least some of the products;

determining an optimized product placement scenario; and

transmitting the optimized product placement scenario to the retail environment for display or reproduction in a tangible medium.

2. The method of claim 1, wherein the second product placement scenario is based at least in part on a flex factor that accounts for impingement of one of the products into an adjacent shelf location or peg location.

3. The method of claim 1, wherein the second product placement scenario is based at least in part on a vertical adjacency of a peg location to shelf location.

4. The method of claim 1, wherein the second product placement scenario is based at least in part on a proximity to a boundary or seam between a first shelf location or a first peg location and a second shelf location or a second peg location.

5. The method of claim 1, wherein the second product placement scenario includes, where a first product of a first type is placed above a predetermined height threshold at a peg location, a second product of the first type at a vertical position at or below the predetermined height threshold.

6. The method of claim 1, wherein determining the optimized product placement scenario further comprises generating a third product placement scenario and a fourth product placement scenario.

7. The method of claim 1, wherein the optimized product placement scenario is determined based on a packing efficiency metric for the product placement scenarios.

8. The method of claim 1, wherein the second product placement scenario is based at least in part on a sell-through index.

9. The method of claim 8, wherein the products are placed at certain locations based on associated sell-through indices and product margins.

10. The method of claim 9, wherein the determination of the optimized placement scenario is based on an overall scenario profitability that is a function of margins and location-specific sell-through indices of the products.

11. The method of claim 1, wherein the inventory data includes data specifying signage.

12. A system for generating a planogram, the system comprising:

a display space database containing display space data including a shelving arrangement in an item display area of a sales environment, wherein the shelving arrangement includes both shelf positions and hook positions;

a merchandise database containing merchandise data indicating items to be displayed in the item display area;

an item database containing item data indicating for each of the items at least an item size, an item shape, and at least one corresponding fixture type;

a planogram generator to receive the display space data, the merchandise data, and the item data, to generate a first planogram in which each of the items is placed at a particular one of the shelf positions or hook positions within the shelving arrangement, and to generate a second planogram for the items wherein at least some of the items are placed at a different one of the shelf positions or hook positions within the shelving arrangement, wherein the second planogram is based at least in part on a shelf space adjustment factor that accounts for impingement of one of the items into an adjacent one of the shelf positions or hook positions.

13. The system of claim 12, wherein the second planogram is based at least in part on a shape distortion of at least some of the items.

14. The system of claim 12, wherein the second planogram is based at least in part on a vertical adjacency of one of the hook positions to one of the shelf positions.

15. The system of claim 12, wherein the second planogram is based at least in part on a proximity to a boundary or seam between (i) a first shelf position or a first hook position and (ii) a second shelf position or a second hook position.

16. The system of claim 12, wherein the second planogram includes, where a first item of a first type is placed above a predetermined height threshold at a hook position, a second item of the first type at a vertical position below the predetermined height threshold.

17. The system of claim 12, wherein the item data includes data related to signage.

18. A physical computer-readable medium, embodied in a device, on which medium is encoded program code configured for execution by a processor to perform a method for generating a merchandise display map, the method comprising:

retrieving, from a shelf space database, shelf space data comprising a shelving arrangement in a retail item display area of a retail environment, wherein the shelving arrangement includes both shelf locations and peg locations;

retrieving, from a catalog database, catalog data indicating retail items to be displayed in the retail item display area;

retrieving, from a retail item database, retail item data indicating for each retail item at least a retail item size, a retail item shape, and at least one corresponding fixture type;

generating a first merchandise display map in which each of the items are placed at a particular one of the shelf locations or peg locations within the shelving arrangement;

generating a second merchandise display map for the retail items wherein at least some of the retail items are placed at different shelf locations or peg locations within the shelving arrangement, wherein the second merchandise display map is based at least in part on a vertical adjacency of one of the peg locations to one of the shelf locations.

19. The computer-readable medium of claim 18, wherein the second merchandise display map is based, at least in part, on a flex factor that accounts for impingement of one of the retail item into an adjacent one of the shelf locations or peg locations.

20. The computer-readable medium of claim 18, wherein the second merchandise display map is based, at least in part, on a deformation factor of at least some of the retail items.

21. The computer-readable medium of claim 18, wherein the second merchandise display map is based, at least in part, on a proximity to a boundary or seam between a first shelf location or a first peg location and a second shelf location or a second peg location.

22. The computer-readable medium of claim 18, wherein the second merchandise display map includes, where a first retail item of a first type is placed above a predetermined height threshold at a peg location, a second retail item of the first type at a vertical position below the predetermined height threshold.

23. The method of claim 18, wherein the retail item data includes data relating to signage.