> For the complete documentation index, see [llms.txt](https://linecraft.gitbook.io/ikshana-pro-knowledgebase/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://linecraft.gitbook.io/ikshana-pro-knowledgebase/product-guides/machine-monitoring/cycle-insights.md).

# Cycle insights

We've introduced **Cycle Insights**, a powerful machine learning driven feature that automatically analyses production cycles to uncover key patterns and detect anomalies. With this new capability, users can:

1. **Understand typical machine behavior** over selected time ranges
2. **Identify deviations** and problematic states in production cycles
3. **Gain actionable insights** to improve efficiency and support better operational decisions

This enhancement empowers teams to move from reactive monitoring to proactive optimization through data-driven analysis.

<figure><img src="/files/hxEHKWVjweBWgUd5Cobw" alt=""><figcaption></figcaption></figure>