Walmart had 52 patents in ecommerce during Q1 2024. Walmart Inc filed patents in Q1 2024 for systems and methods related to user segmentation, predicting user lifetime value, online advertisement targeting, text recognition in images, third-party shopper exit verification, real-time answer retrieval based on query type, and assessing cargo capacity for crowdsourced delivery agents. These patents cover a range of technologies aimed at improving customer experience, operational efficiency, and delivery logistics. 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 ecommerce as a theme is 46% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Systems and methods for determining customer lifetime value (Patent ID: US20240104588A1)
The patent filed by Walmart Inc. describes a system that uses machine learning to predict the Lifetime Value (LTV) of users based on their interactions with various channels. The system then determines transition paths for users to move between different user states and displays online advertisements to facilitate these transitions. The system also includes features such as determining average LTV for different user states, coordinating the display of online advertisements based on LTV values, and updating the machine learning model periodically to improve accuracy.
Additionally, the system applies LTV decay functions to predicted LTV values to create decayed LTVs, which are used to determine the most effective online advertisements for transitioning users between states. The machine learning LTV update model can consist of two-stage models, piecewise linear functions, or random forest models, and can be updated at least once every three months. The method outlined in the patent aims to optimize user transitions and maximize the value generated from online advertisements by leveraging predictive analytics and machine learning techniques.
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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.
