Understanding Anomaly Detection in Grips
In the dynamic world of e-commerce, Grips’ industry-leading daily revenue data keeps you updated on the most important fluctuations of your competitors. And now with anomaly detection identifying outliers on that daily data, it will be easier than ever to get stay on top of the changing performance of your competitors.
The Guardian in Grips
The Grips anomaly detection feature learns from historical daily revenue data to predict future trends and identify unexpected deviations as outliers. It becomes adept at recognizing the normal e-commerce revenue patterns for each retailer.
Anomalies Visualized
When an anomaly is detected, this is visualized: the daily revenue data chart for the specific retailer displays a noticeable dot, pinpointing the date and value where an unexpected occurrence took place.
Use cases for anomaly alerts
- Promotion Monitoring: Grips’ anomaly detection feature is especially valuable for monitoring the impact of promotions. Sudden spikes or dips in revenue during promotional periods can be easily identified, allowing retailers to optimize their marketing strategies.
- New product launches: When revenue spikes, it can be the result of a successful new product launch that is driving those new sales.
- Operational Insights: Beyond promotions, anomalies may indicate operational challenges, such as issues with inventory, payment processing, or website performance.