Introducing Subscription Optimizer
Your gateway to cloud license harvesting
Now start saving on your cloud license usage with OpenLM. Automate reallocation based on usage and eliminate subscription waste.
What is Subscription Optimizer?
Subscription Optimizer is a solution designed to automate the assignment of cloud licenses to users within your company.
It helps you manage and optimize your cloud subscriptions, ensuring that licenses are used efficiently and costs are minimized.
Supported platforms
- Autodesk Cloud
- LinkedIn Sales Navigator
Key features
- Automated license assignment: Subscription Optimizer automatically reassigns licenses based on user needs and usage patterns.
- Usage-based optimization: The tool uses machine learning to assess the probability of license usage, reassigning licenses from users who are unlikely to need them to those who do.
- Integration with License Access Control: Subscription Optimizer works in conjunction with License Access Control (LAC) managed users and groups to perform license assignments.
Benefits
- Cost reduction: Stop paying for unused licenses.
- Improved efficiency: Get access to licenses whenever you need them, minimizing disruptions to your workflow.
- Simplified license management: Automate the complex process of license assignment and management, based on actual usage data.
Frequently asked questions (FAQs)
It is a OpenLM functionality that enables automated reallocation of cloud licenses among users in your organization.
Yes, both are quite similar. While License Harvesting helps optimize server-based licenses, Subscription Optimizer does the same for cloud licenses.
- User groups: The admin defines groups of users or users in License Access Control to specify who can benefit from license optimization.
- Intelligent reassignment: When a user requests a license and none are available, Subscription Optimizer uses machine learning to identify and reassign unused licenses.
- User notifications: Users are notified when licenses are reassigned, ensuring transparency and minimizing disruption.
