Walmart had 117 patents in digitalization during Q3 2023. One patent focuses on optimizing modular placement in stores by determining the combination of items to place on a peg modular and their placement positions. Another patent involves tracking user impressions on a website and classifying users based on their response data to generate personalized webpages. Additionally, there are patents related to conducting geographical experiments, evaluating images in retail facilities, and predicting collection times for online orders and coordinating store employees accordingly. GlobalData’s report on Walmart gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

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Walmart grant share with digitalization as a theme is 38% in Q3 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Methods and apparatus for generating planograms (Patent ID: US20230274225A1)

The patent filed by Walmart Inc. describes a system and method for optimizing the placement of items on a peg modular in a retail store. The system utilizes modular data of the peg modular, item data of a group of items, and draw strategy data to generate a first modular dataset. The modular placement optimization operations include determining a combination of items to place on the peg modular, along with the placement position and number of facings for each item. The first modular dataset identifies the combination of items and their corresponding placement positions and facings.

The system also includes operations to determine whether additional facings of the items should be added based on the modular data and the first modular dataset. The system can further determine if the peg modular can accommodate all the items of the group. If not, a set of operations generates block data based on the modular data and item data. The modular placement optimization operations can also be based on the block data.

The modular data includes information about peg flow areas, which consist of peg holes that can be coupled with fixtures. The modular data also includes information about the fixtures associated with the peg modular, such as fixture type. The item data and modular data can be associated with a cluster of stores.

The draw strategy data characterizes various draw strategy parameters, including blockiness, blockiness elasticity, striping, and sequencing elasticity. The combination of items can be associated with a particular attribute, and the item data includes information about the rank, sequence, and attributes of each item.

The system can also incorporate constraint data, including user constraint parameters. The system can communicate with a computing device operated by a user to obtain user input, including draw strategy data. The system can utilize aggregate identifiers to represent multiple different items placed together on a fixture of the peg modular.

The patent also describes a computer-implemented method and a non-transitory computer-readable medium storing instructions for implementing the modular placement optimization operations.

In summary, the patent filed by Walmart Inc. describes a system and method for optimizing the placement of items on a peg modular in a retail store. The system utilizes modular data, item data, and draw strategy data to generate a first modular dataset and determine the placement positions and facings of items. The system can also determine whether additional facings should be added and can accommodate user constraints and input.

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.