Monitoring equipment usage can help laboratories avoid costly maintenance, minimize downtime, and improve scientific outcomes. Usage patterns that deviate from manufacturer recommendations can lead to excessive wear, unplanned repairs, and unreliable data. By leveraging noninvasive monitoring and AI-driven insights, labs gain a clear picture of equipment utilization without disrupting workflow. In one case, flow cytometry usage data analytics helped a customer uncover hundreds of thousands of dollars in unnecessary maintenance costs, reduce downtime, and enhance the consistency of their scientific results. In this session, you will learn how to:

• Prevent unnecessary maintenance and downtime by identifying usage patterns that lead to excessive wear and unplanned repairs.
• Optimize maintenance strategies by leveraging usage data analytics to identify unnecessary costs, reduce downtime, and enhance scientific consistency.
• Leverage noninvasive monitoring and AI-driven insights to gain a clear view of equipment utilization, enabling labs to optimize performance without disrupting workflow.