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THREE-PART WEBINAR SERIES

From Framework to Execution

Operationalizing Predictable GSE Performance

Part 3 of the three-part webinar series focuses on where transformation truly takes hold—execution. Leading GSE teams apply standardized, connected data to unlock real-time visibility, enable predictive maintenance, and drive more consistent, efficient operations.

May 13, 2026
11:00 AM ET | 8:00 AM PT | 3:00 PM UTC
45 minutes

About the webinar

Understanding the problem and defining the framework is only half the equation, execution is where transformation happens. 

In this final session, we demonstrate how leading operators are applying a standardized, data-driven approach to GSE lifecycle management using Veryon GSE.  

You’ll see how the full system comes together: 

  • Real-time fleet visibility across all assets

  • Predictive maintenance powered by telemetry 

  • Standardized workflows for maintenance, compliance, and parts management

  • Mobile-first tools enabling technicians in the field

  • Integrated systems that unify data with parts suppliers 

We’ll also share real-world outcomes, including: 

  • Significant reductions in unplanned downtime

  • Improved equipment availability and utilization

  • Faster work order completion

  • Full audit-ready compliance 

If you’re looking to move from theory to implementation, this session will show exactly how to operationalize data visibility and standardization—at scale. 

 

Register here

Panelists

Santosh Nachu of Veryon will guide you through the webinar, sharing his perspective on the evolving challenges in GSE operations and the systems needed to manage them effectively.

Santosh-Nachu-Headshot
Santosh Nachu
VP, Growth and Integration
Veryon

This webinar is ideal for

GSE Operations Leaders

Operations leaders responsible for coordinating equipment, labor, and turnaround performance across the ramp.

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Maintenance + Fleet Managers

Leaders managing GSE reliability, uptime, and maintenance workflows across aging and distributed equipment fleets.