Palletized machines are among your highest-output assets and your hardest to track. An operator names a few jobs at the start of a shift, the cell cycles through them automatically and by day's end your ERP has no real record of what ran or for how long.
Join this session to hear from Eric Doyle, Operations Manager at RCO Engineering, for a candid look at why standard MES fell short on their most demanding machines and what changed when they augmented Epicor with MES built for palletized machining from MachineMetrics. They will share what wasn't working on the floor, how purpose-built inventory tracking brought their material data back under control and gave those manual hours back, and how easier tools in operators' hands — including Max AI to answer floor-level questions on the spot — changed who actually uses the system and what the data makes possible. We will close with a look at where shop floor execution is headed next, including a preview of what MachineMetrics is bringing to IMTS 2026.
Agenda:
Why traditional MES breaks on palletized machines. When a cell cycles through jobs and part numbers automatically, manual entry can't capture true run times or material use — and that's where the data falls apart.
MES that augments your ERP, not replaces it. How RCO layered MachineMetrics onto Epicor and built custom inventory tracking around their workflow, rather than forcing a one-size-fits-all template.
How visibility turns into decisions. Moving from lagging counts and manual fixes to data leaders can act on — from reclaiming labor hours to justifying a new palletized cell to quoting with confidence.
What's Next. A first look at how the line between ERP planning and shop floor execution is changing, ahead of IMTS 2026.
Eric Doyle is operations manager at RCO Engineering, overseeing aerospace and defense machining. Across his 15 years, Eric has done it all — from hands-on machining to leading operations. With a background in aeronautical engineering from Western Michigan University, he blends practical expertise with a passion for process improvement. In collaboration with MachineMetrics, Eric helped address the challenges of tracking palletized machining, offering valuable insight into aligning technology with real-world production. His journey from the shop floor to leadership gives him a unique perspective on turning data into action.
Graham Immerman
Chief Revenue Officer, MachineMetrics
Graham Immerman has spent his career at the intersection of brand strategy and commercial growth, from working on global campaigns for Adidas and Starbucks to scaling revenue at manufacturing technology companies. At MachineMetrics, he leads go-to-market strategy for the AI-Powered Manufacturing Operations Platform, working with discrete manufacturers to close the execution gap between what ERP systems plan and what actually happens on the shop floor. Graham's focus is on helping operations and finance leaders understand what their production data is telling them — and what it's costing them when it doesn't.
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