CASE STUDIES

Automated Anomaly Detection through Multi-Level Forecasting

automated anomaly detection through multi level forecasting 1

An automated time forecasting tool to identify anomalies across various levels of granularity in key analysis dimensions was built for a multinational E-Commerce corporation. This resulted in a 70% reduction in the time taken to detect anomalies.

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