Detect spikes and deviations in sensor data
Important
This content is archived and is not being updated. For the latest documentation, go to What's new or changed in Dynamics 365 Supply Chain Management. For the latest release plans, go to Dynamics 365, Power Platform, and Cloud for Industry release plans.
| Enabled for | Public preview | General availability |
|---|---|---|
| Users by admins, makers, or analysts | 
Oct 2, 2023 |
- |
Business value
To keep operations running smoothly, businesses need to maximize the uptime of all equipment and act fast when required to prevent damaging failures. By fitting equipment and other assets with automatic electronic sensors, companies can monitor how each asset performs over time. Sensor Data Intelligence for Dynamics 365 Supply Chain Management now includes an anomaly detector that selects the best anomaly algorithm for each type of sensor data. It can detect spikes, dips, and other deviations to identify and predict problems before they become urgent.
Feature details
The new anomaly detector for Sensor Data Intelligence provides the following capabilities:
- Collect details from machines and equipment to detect anomalies to predict and prevent issues before they become urgent.
- Set up the solution using a simple onboarding wizard rather than manually installing and configuring its components from Lifecycle Services.
- Configure, scale, and extend the solution to meet your unique business needs. The business logic runs on Azure components managed using your own Azure subscription, which provides the flexibility required to customize the solution as needed.
See also
Anomaly detection scenario (docs)