Walmart had 52 patents in artificial intelligence during Q4 2023. Walmart Inc filed patents related to automatic scheduling of timeslots for item pickups and deliveries using machine learning, tracking dynamic source ranking for content providers, extracting information from images of documents, presenting packing instructions to users, and identifying non-compliant content in images using neural network architecture. These patents aim to improve efficiency and accuracy in various aspects of retail operations. 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 artificial intelligence as a theme is 46% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Methods and apparatus for scheduling timeslots using machine learning processes (Patent ID: US20230419269A1)
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The patent application by Walmart Inc. describes a system and method for automatically scheduling timeslots for item pickups and deliveries using machine learning processes. The system involves receiving capacity information requests, obtaining historical order and workforce availability data, generating features, determining timeslot capacities using machine learning models, and displaying timeslot availability times for selection. The system also includes a reinforcement learning model to determine increased timeslot capacities for certain timeslots based on historical data.
Furthermore, the system involves re-training the machine learning model with updated data, generating predicted timeslot capacities, determining further increased timeslot capacities using reinforcement learning, and transmitting updated timeslot data for scheduling in future periods. The method includes similar steps, such as determining timeslot availability times, identifying met capacity thresholds, and generating updated timeslot capacities based on historical data. The patent application also covers a computer-readable storage medium with instructions for performing these operations, including re-training the machine learning model and transmitting updated timeslot data for user scheduling. Overall, the system and method aim to optimize timeslot scheduling for online orders based on historical data and workforce availability.
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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.
