Monitor equipment with Sensor Data Intelligence
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 and Microsoft Power Platform release plans.
| Enabled for | Public preview | General availability |
|---|---|---|
| Users by admins, makers, or analysts | 
Oct 24, 2022 |
- |
Business value
Businesses can install automatic electronic sensors that enable Dynamics 365 Supply Chain Management to collect and display information about equipment usage and status. The resulting solution provides real-time visibility into maintenance, inventory, planning, and cost, enabling business-critical processes to be automated.
Feature details
The Sensor Data Intelligence Add-in for Dynamics 365 Supply Chain Management is an updated, renamed version of the IoT Intelligence Add-in previously available for Supply Chain Management. It enables your organization to drive business processes based on sensor data from machines and equipment on the production floor. The new version of Sensor Data Intelligence enables you to:
- Collect details from machines and equipment to update maintenance asset counter values in Supply Chain Management to drive predictive maintenance.
- Leverage a simple onboarding wizard to set up the solution, as opposed to manually installing and configuring components in Lifecycle Services.
- Deploy components on your own subscription, allowing you additional flexibility to manage Azure components.
- Configure, scale, and extend the solution as business logic running on Azure components, which are now managed on your own subscription, giving you the freedom to customize as needed to meet your unique business needs.
In addition to the business scenarios that were available with the IoT Intelligence Add-In, Sensor Data Intelligence now covers a broader range of use cases, as detailed in the following table.
| Scenario | Description | Status |
|---|---|---|
| Machine status | Secure operation efficiency by using sensor readings to notify planners about machine outages and provide options to mitigate potential delays. | Existing |
| Product quality | Secure the quality of product batches by comparing sensor readings for actual properties of each product batch, such as moisture, temperature, or custom-defined quality metrics. The system will notify users when deviations occur. | Existing |
| Production delays | Use sensor readings to compare actual cycle time to planned cycle time and notify supervisors when production is not on schedule. Supervisors can then intervene when needed to secure maximum operation efficiency. | Existing |
| Predictive maintenance | Minimize maintenance cost and extend asset life by improving maintenance plans based on sensor readings of critical control points for machine assets. | New |
| Asset downtime | Accurately track the efficiency of machine assets by using sensor data to track machine downtime. | New |
See also
Automated IoT sensors keep equipment running safely and effectively (blog)