Systems And Methods For Generating Planograms In The Presence Of Multiple Objectives
OwnerRajendra Singh Solanki, Seung Hyun Kong +1inventors
InventorsRajendra Singh Solanki, Seung Hyun Kong, Jennie (Jing) Hu
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Abstract
Systems and methods for an item placement configuration optimization are provided. A system and method can include receiving a first selection including two or more first items corresponding to a first level in an item placement configuration. A first score is determined for the first selection by applying an algorithm to data corresponding to the first items. A second selection including two or more second items and corresponding to a second level in the item placement configuration is received. A second score for the second selection is determined by applying an algorithm to the first score and data corresponding to the second items.
Claims14
A computer-implemented method, comprising:
- executing instructions in a processor-implemented system for receiving a first selection corresponding to a first level in an item placement configuration, the first selection including two or more first items;
- executing instructions in the processor-implemented system for determining a first score for the first selection, wherein scoring includes applying an algorithm to data corresponding to the first items;
- executing instructions in the processor-implemented system for receiving a second selection corresponding to a second level in the item placement configuration, the second selection including two or more second items;
- and
- executing instructions in the processor-implemented system for determining a second score for the second selection, wherein scoring includes applying an algorithm to the first score and data corresponding to the second items.
A computer-implemented method for determining placements of products with respect to one or more shelves, comprising:
- executing instructions in a processor-implemented system for receiving first product placement attribute data including at least one of:
- product priority data, layer of shortfall, layer of excess data, or product facing data;
- executing instructions in the processor-implemented system for creating product placement scores by solving a non-linear product placement mathematical formulation using the first product placement attribute data and one or more product placement objectives, the non-linear product placement mathematical formulation including at least one non-linear interrelationship that exists with respect to the product placement attribute data;
- executing instructions in the processor-implemented system for creating product placement configurations with respect to the one or more shelves;
- and
- executing instructions in the processor-implemented system for associating each of the product placement configurations with a product placement score to determine an optimal product placement configuration, the product placement configuration being optimal with respect to the one or more product placement objectives.
A system, comprising:
- a processor;
- a computer-readable storage medium containing instructions which when executed on the processor, cause the processor to perform operations including:
- receiving a first selection corresponding to a first level in an item placement configuration, the first selection including two or more first items;
- determining a first score for the first selection, wherein scoring includes applying an algorithm to data corresponding to the first items;
- receiving a second selection corresponding to a second level in the item placement configuration, the second selection including two or more second items;
- and
- determining a second score for the second selection, wherein scoring includes applying an algorithm to the first score and data corresponding to the second items.
Computer-readable storage medium or mediums encoded with instructions that when executed, cause a computer to perform a method for determining placements of products with respect to one or more shelves, the method comprising:
- receiving first product placement attribute data including at least one of:
- product priority data, layer of shortfall, layer of excess data, or product facing data;
- creating product placement scores by solving a non-linear product placement mathematical formulation using the first product placement attribute data and one or more product placement objectives, the non-linear product placement mathematical formulation including at least one non-linear interrelationship that exists with respect to the product placement attribute data;
- creating product placement configurations with respect to the one or more shelves;
- and
- associating each of the product placement configurations with a product placement score to determine an optimal product placement configuration, the product placement configuration being optimal with respect to the one or more product placement objectives.
Dependencies are inferred from the claim text.