Zuora had two patents in big data during Q2 2024. Zuora Inc’s patents in Q2 2024 focus on predicting subscriber churn in a multi-tenant system by analyzing billing data and generating churn prediction models. Another patent involves predicting medical conditions using digital images and artificial intelligence algorithms, with a pre-trained deep learning model that can identify affected areas in the image and forecast infection spread over time. GlobalData’s report on Zuora gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Zuora had no grants in big data as a theme in Q2 2024.
Recent Patents
Application: Systems and methods for predicting churn in a multi-tenant system (Patent ID: US20240161138A1)
The patent filed by Zuora Inc. describes a system for storing subscription data for multiple tenants in a common format, focusing on billing data rather than behavioral data. The system uses machine learning algorithms to generate churn prediction models based on primary and secondary features derived from the subscription data. By analyzing more recent billing data, the system can identify subscribers at risk of churning and report this information to the tenants through specific interfaces. The system allows for the creation of different churn prediction models for various tenants, all using the same machine learning algorithm and common data formats native to the system.
The multi-tenant system outlined in the patent enables the prediction of subscriber churn by analyzing billing data in a standardized format across different tenants. By determining primary and secondary features from subscription datasets and using machine learning algorithms, the system can generate churn prediction models specific to each tenant. This approach allows for the identification of subscribers at risk of churning based on recent billing data, providing valuable insights to tenants and helping them take proactive measures to retain customers. The system's ability to handle multiple tenants concurrently and support load balancing ensures efficient and accurate churn prediction across the entire multi-tenant system.
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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.
