Leading Tax Filing Company
Anomaly Detection
Problem
The client needed a solution to detect a wide range of anomalies in the daily logs generated by the tax engine during the tax filing process.
Solution
An AI-powered solution was developed using time series forecasting models to identify irregularities in the logs. By recognizing patterns in events related to specific clients, the system was able to detect anomalous behavior and potential issues.
Outcome
The model successfully identified anomalies that were previously undetected, leading to a reduction of tax engine-related issues by over 5%. This improvement helped reduce customer drop-off during the tax filing process.


A proactive solution to identify and resolve issues in Daily Tax Filing Logs
The client, a tax preparation company generates millions of logs daily from DIY and assisted tax filing modes. These logs highlight issues ranging from minor validation errors to major backend crashes, negatively impacting the customer experience. To proactively address these problems, a solution was developed using time series forecasting models to detect irregularities in log events. Sequence modeling identified patterns and anomalies specific to clients, with daily anomaly detection and weekly reports aiding in root cause analysis and solution development.



The model successfully identified anomalous patterns in the tax filing process, specifically by analyzing service IDs. This led to a reduction of tax engine-related issues by over 5%, improving the overall customer experience and reducing customer drop-off.
Fewer Issues, Happier Clients
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