36% Bot Utilization: The Network Gap Killing Your Automation ROI
Your warehouse bots are running at 36% utilization — not because the technology failed, but because you skipped the infrastructure that feeds them data. The 'forgotten middle' — intelligent networks like EtherCat and Profinet connecting your field devices — is the step everyone assumes is already done. Without it, predictive maintenance and automation ROI remain theoretical.
“We see this pattern constantly: companies drop $2M on automation then wonder why utilization sits at 36%. The fix isn't more bots — it's the $200K network infrastructure investment that makes the bots actually work.”
Your warehouse bots are running at 36% utilization — not because the technology failed, but because you skipped the infrastructure that feeds them data. The 'forgotten middle' — intelligent networks like EtherCat and Profinet connecting your field devices — is the step everyone assumes is already done. Without it, predictive maintenance and automation ROI remain theoretical.
From the Source
"We have these black boxes. The field devices are invisible, but we're expected to somehow do predictive maintenance on those devices... The thing that makes it really difficult is the thousand different people that did a thousand different programs and PLCs. We can't get access to that."
— Making Digital Transformation in Warehousing Work
Key Takeaways
- 01Bots operational only 36% of the time due to missing data infrastructure, not equipment failure
- 02The 'forgotten middle' — intelligent networks connecting PLCs and field devices — is the critical missing layer
- 03Legacy systems with 'a thousand different programs and PLCs' create invisible black boxes that block analytics
- 04Investing in EtherCat, Profinet, or similar networks enables the data access automation requires
- 05Predictive maintenance is impossible when field devices remain invisible to your systems
Watch the Source
Making Digital Transformation in Warehousing Work
Source
Making Digital Transformation in Warehousing Work
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Extracted and verified via Adversarial AI Pipeline
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