Walmart had nine patents in big data during Q1 2024. Walmart Inc filed patents for an automated driver selection system, an out-of-stock indicator system using machine learning, and a forecasting system for labor and physical objects needed at facilities. The driver selection system calculates driver scores based on parameters and assigns delivery requests to ranked profiles. The out-of-stock indicator system adjusts probability values based on features and thresholds, while the forecasting system generates data for labor and physical objects needed at different facilities. GlobalData’s report on Walmart gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Walmart grant share with big data as a theme is 66% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: System and method of driver matching and dispatch (Patent ID: US20240086795A1)
The patent filed by Walmart Inc. describes a system and method for automated driver selection based on driver profiles and order parameters. The system receives driver profiles with availability, driver parameter, and historic statistic data, along with order parameters. It then calculates a driver score for each profile based on these parameters, ranks the profiles, and assigns the first-ranked driver to a delivery request. The system adjusts profiles based on real-time data, recalculates scores, and re-ranks drivers as needed, ensuring efficient assignment of orders to drivers.
The system utilizes an automated prediction model to rank drivers, considering factors like completion rate, delivery time, and engagement rate. It assigns drivers to groups based on order distribution percentages, allowing for optimal order allocation. The method involves continuous monitoring and adjustment of driver profiles, ensuring that the most suitable driver is selected for each delivery assignment. By incorporating real-time data and predictive analysis, the system aims to streamline the driver selection process and enhance the overall efficiency of order fulfillment operations.
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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.
