20250165898. Detecting Data Anomalies U (Walmart Apollo, LLC)
DETECTING DATA ANOMALIES USING RULES AND ARTIFICIAL INTELLIGENCE
Abstract: an alert detection system that detects anomalies in business activities, and a method of operating the same. the method includes receiving alert configuration data associated with an alert via an alert configuration interface. the method further includes accessing a data value stored at a data source using a data path of the received alert configuration data and analyzing the accessed data value using at least one of an anomaly detection rule or a trained anomaly detection model associated with the alert. the method further includes determining that the alert is triggered based on analyzing the accessed data value and sending an alert communication of the triggered alert using at least one alert communication channel defined in the received alert configuration data.
Inventor(s): Kunal Sharma, Amit Jhunjhunwala, Satish Kumar, Akash Babulal Patil, Koustav Mukherjee, Animesh Shukla, Gayam Venkateswar Reddy, Saurav Kumar Chaudhary, Aastha Jaie, Yogishankar Gachinmath
CPC Classification: G06Q10/06393 ({Score-carding, benchmarking or key performance indicator [KPI] analysis})
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- Patent Applications
- Walmart Apollo, LLC
- CPC G06Q10/06393
- Kunal Sharma of Bangalore IN
- Amit Jhunjhunwala of Bengaluru IN
- Satish Kumar of Dhanbad IN
- Akash Babulal Patil of Nandurbar IN
- Koustav Mukherjee of Jamshedpur IN
- Animesh Shukla of Lucknow IN
- Gayam Venkateswar Reddy of Bengaluru IN
- Saurav Kumar Chaudhary of Guwahati IN
- Aastha Jaie of Bangalore IN
- Yogishankar Gachinmath of Karnataka IN