Improve Post Sales Service and Reduce Costs in HVAC and Equipment Systems

Improve Post-Sales Service and Reduce Costs in HVAC and Equipment Systems with Predictive Maintenance

Are you experiencing unplanned equipment failures and higher than expected warranty and program costs? A critical step in the IoT journey is using historical and real-time data to forecast when equipment could fail through early identification of anomalies and fault prediction. During this webinar, Frederic Bastien, VP, Product Management with AspenTech, will discuss how advanced IoT models predict equipment failures and provide the following benefits:

Reduce warranty and program costs
Improve after-market offerings
Generate new revenue streams

In addition, Jean-Emmanuel Turquois, General Manager - Special Projects & Marine from Smardt, will share the main conclusions and benefits realized with the Mnubo advanced IoT model during data assessment for their equipment, as well as the next steps. Download this webinar to discover how you can improve HVAC equipment performance and aftermarket offerings by making decisions with equipment data that is organized, contextualized and analyzed with the right IoT tools.

Improve Post-Sales Service and Reduce Costs in HVAC and Equipment Systems with Predictive Maintenance

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Improve Post-Sales Service and Reduce Costs in HVAC and Equipment Systems with Predictive Maintenance

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AspenTech DataWorks

Asset Performance Management

Digital Grid Management

Manufacturing and Supply Chain

Performance Engineering

Subsurface Science & Engineering

Improve Post-Sales Service and Reduce Costs in HVAC and Equipment Systems with Predictive Maintenance

Improve Post-Sales Service and Reduce Costs in HVAC and Equipment Systems with Predictive Maintenance

Improve Post-Sales Service and Reduce Costs in HVAC and Equipment Systems with Predictive Maintenance