You don't need to rip out SAP, Oracle, or your Power BI dashboards to get real-time OEE visibility.
The best rollouts we've seen don't replace what a plant already has, they feed it. Sensor data flows into the systems your team already opens every morning.
No new login. No new habit to build. Just better numbers in the reports people already trust.
The best rollouts we've seen don't replace what a plant already has, they feed it. Sensor data flows into the systems your team already opens every morning.
No new login. No new habit to build. Just better numbers in the reports people already trust.
450+ manufacturers. 30+ countries. One question they all started with: what is actually happening on our production floor right now?
Not last week's report. Not the shift supervisor's summary. Right now.
That question is worth asking at any plant, in any industry. Most just don't have a fast way to answer it yet.
Not last week's report. Not the shift supervisor's summary. Right now.
That question is worth asking at any plant, in any industry. Most just don't have a fast way to answer it yet.
Changeovers run long “because they always do” — until someone actually times them.
Most plants estimate changeover time from memory. Real-time tracking usually finds it's 20-40% longer than anyone assumed, and that the variance between operators is bigger than the target itself.
You can't standardize what you've never accurately measured.
Most plants estimate changeover time from memory. Real-time tracking usually finds it's 20-40% longer than anyone assumed, and that the variance between operators is bigger than the target itself.
You can't standardize what you've never accurately measured.
“We know our line pretty well” is the sentence right before a plant manager gets surprised by their own OEE number.
Intuition is built from what you notice. And what gets noticed is usually the loud stuff: the breakdown, the jam, the incident. The quiet, constant losses never make it into anyone's mental model.
Real-time data doesn't replace experienced judgment. It just stops filling the gaps in that judgment with optimism.
Intuition is built from what you notice. And what gets noticed is usually the loud stuff: the breakdown, the jam, the incident. The quiet, constant losses never make it into anyone's mental model.
Real-time data doesn't replace experienced judgment. It just stops filling the gaps in that judgment with optimism.
Quick math: if your line loses just 5% of uptime to unlogged stops, and it's worth 2,000 euros an hour of output, that's 100 euros lost for every 2 hours it runs.
Over a month, two shifts, that's easily five figures, quietly, with nothing on any report to explain where it went.
Most plants aren't losing money on one big problem. They're losing it in a hundred small, invisible ones.
Over a month, two shifts, that's easily five figures, quietly, with nothing on any report to explain where it went.
Most plants aren't losing money on one big problem. They're losing it in a hundred small, invisible ones.
“We're planning to fix this once the MES project lands” is the most expensive sentence in manufacturing.
MES platforms are powerful, and they're also 12-18 month projects with IT dependencies, PLC integration work, and a budget cycle behind them.
Real-time OEE monitoring isn't a replacement for MES. It's the thing you deploy in 48 hours while you wait, so you're not flying blind for the next year and a half.
MES platforms are powerful, and they're also 12-18 month projects with IT dependencies, PLC integration work, and a budget cycle behind them.
Real-time OEE monitoring isn't a replacement for MES. It's the thing you deploy in 48 hours while you wait, so you're not flying blind for the next year and a half.
This channel is for the people who actually own the number: plant managers, ops directors, and continuous improvement leads who are done presenting OEE estimates they don't fully trust.
If that's you, welcome. We post real insights on downtime, OEE, and factory digitalisation here. No fluff, no gated PDFs for your email address.
See what your machines are really doing → teeptrak.com
If that's you, welcome. We post real insights on downtime, OEE, and factory digitalisation here. No fluff, no gated PDFs for your email address.
See what your machines are really doing → teeptrak.com
Factory Performance Lab by TEEPTRAK pinned «This channel is for the people who actually own the number: plant managers, ops directors, and continuous improvement leads who are done presenting OEE estimates they don't fully trust. If that's you, welcome. We post real insights on downtime, OEE, and factory…»
Live panel — September 9, free, online.
TEEPTRAK's founder Francois Coulloudon is on stage at the IIoT World Industrial AI Summit with Neil Smith (Schneider Electric), Andrew Waycott (TwinThread), and Kevin O'Donovan (IIoT World).
Topic: From AI pilots to profit — unlocking manufacturing's hidden data advantage.
Most plants don't have an AI problem. They have a data problem: machines that don't report cleanly, systems that don't talk to each other, dashboards built on estimates instead of ground truth. That's usually the real reason an AI pilot never turns into a number the board cares about.
Sept 9, 2026 - 9am ET / 3pm CET. Free, online. Register: iiotday.com
If you're the one explaining why the AI pilot hasn't moved the P&L yet, this is worth an hour.
TEEPTRAK's founder Francois Coulloudon is on stage at the IIoT World Industrial AI Summit with Neil Smith (Schneider Electric), Andrew Waycott (TwinThread), and Kevin O'Donovan (IIoT World).
Topic: From AI pilots to profit — unlocking manufacturing's hidden data advantage.
Most plants don't have an AI problem. They have a data problem: machines that don't report cleanly, systems that don't talk to each other, dashboards built on estimates instead of ground truth. That's usually the real reason an AI pilot never turns into a number the board cares about.
Sept 9, 2026 - 9am ET / 3pm CET. Free, online. Register: iiotday.com
If you're the one explaining why the AI pilot hasn't moved the P&L yet, this is worth an hour.
€230,000 a year.
That's what a Tier-1 automotive supplier was losing every year to stop-causes nobody could see — the kind of losses that don't show up until someone finally asks "why."
Across 12 production lines in 3 plants, TEEPTRAK gave their teams real-time visibility into every micro-stop and slow cycle. The result: +12 OEE points, and the investment paid for itself in 6 weeks.
Nothing exotic. Just visibility into what was already happening on the line.
See how it works → teeptrak.com/case-studies
#OEE #Manufacturing #Industry40
That's what a Tier-1 automotive supplier was losing every year to stop-causes nobody could see — the kind of losses that don't show up until someone finally asks "why."
Across 12 production lines in 3 plants, TEEPTRAK gave their teams real-time visibility into every micro-stop and slow cycle. The result: +12 OEE points, and the investment paid for itself in 6 weeks.
Nothing exotic. Just visibility into what was already happening on the line.
See how it works → teeptrak.com/case-studies
#OEE #Manufacturing #Industry40
New from our CEO 🎥
François Coulloudon on what it actually takes to make a factory "smart" — real-time visibility over guesswork, in under a minute:
https://www.youtube.com/watch?v=0o14OkOThDk
Want the long version? He also sat down for a 49-min interview on the state of French manufacturing (in French) — includes a real case study, +30% efficiency gained on a client's lines:
https://www.youtube.com/watch?v=TO6kt0GE-OA
#OEE #Manufacturing #Industry40
François Coulloudon on what it actually takes to make a factory "smart" — real-time visibility over guesswork, in under a minute:
https://www.youtube.com/watch?v=0o14OkOThDk
Want the long version? He also sat down for a 49-min interview on the state of French manufacturing (in French) — includes a real case study, +30% efficiency gained on a client's lines:
https://www.youtube.com/watch?v=TO6kt0GE-OA
#OEE #Manufacturing #Industry40
YouTube
TEEPTRAK CEO François Coulloudon shares our vision for smarter factories
In this video, François Coulloudon, CEO of TEEPTRAK, explains how we help manufacturers boost performance and efficiency through real-time data visibility.
From paper tracking to digital dashboards, TEEPTRAK connects any machine in less than 1 hour — giving…
From paper tracking to digital dashboards, TEEPTRAK connects any machine in less than 1 hour — giving…
That's a wrap on the IIoT World Industrial AI Summit 🎤
Our CEO François Coulloudon joined the panel "From AI pilots to profit — unlocking manufacturing's hidden data advantage," alongside Neil Smith (Schneider Electric), Andrew Waycott (TwinThread), and Kevin O'Donovan (IIoT World).
Thanks to everyone who tuned in live. If you're still working out why your AI pilot never turned into a number the board cares about — that's exactly what we talked about today.
See what your machines are really doing → teeptrak.com
#IIoT #Industry40 #OEE
Our CEO François Coulloudon joined the panel "From AI pilots to profit — unlocking manufacturing's hidden data advantage," alongside Neil Smith (Schneider Electric), Andrew Waycott (TwinThread), and Kevin O'Donovan (IIoT World).
Thanks to everyone who tuned in live. If you're still working out why your AI pilot never turned into a number the board cares about — that's exactly what we talked about today.
See what your machines are really doing → teeptrak.com
#IIoT #Industry40 #OEE
We're looking for a few more partners to bring TeepTrak into new markets, integrators, resellers, consultants who already talk to plant managers.
However you work with factories today, there's probably a track that fits: introduce a deal and get paid without doing the install, own the contract and earn recurring commissions, or plug into our API if you're building MES/ERP/Industry 4.0 integrations. Your client stays yours from day one, no matter which one you pick.
Right now we're at 50+ partners across 30 countries, churn under 1%. No upfront cost to join, and a real person from our team replies within 48 hours.
If that sounds like something you'd want in, apply here: partners.teeptrak.com
However you work with factories today, there's probably a track that fits: introduce a deal and get paid without doing the install, own the contract and earn recurring commissions, or plug into our API if you're building MES/ERP/Industry 4.0 integrations. Your client stays yours from day one, no matter which one you pick.
Right now we're at 50+ partners across 30 countries, churn under 1%. No upfront cost to join, and a real person from our team replies within 48 hours.
If that sounds like something you'd want in, apply here: partners.teeptrak.com
If you've ever hit a BadCertificateUntrusted or BadNodeIdUnknown error trying to pull machine data over OPC UA, you know how thin the documentation usually is.
opcuaconnect.com is an independent, free reference: 127 status codes explained with real fixes (not just the spec definition), a full glossary, the IEC 62541 parts explained without a PDF download, and a free academy, 4 tracks, 150 lessons, from first connection to machine data for OEE. No card, no trial, no sales call.
OPC UA is the protocol most shop-floor integrations run on. If your team is still fighting connection errors instead of looking at production data, this is worth an afternoon.
opcuaconnect.com
opcuaconnect.com is an independent, free reference: 127 status codes explained with real fixes (not just the spec definition), a full glossary, the IEC 62541 parts explained without a PDF download, and a free academy, 4 tracks, 150 lessons, from first connection to machine data for OEE. No card, no trial, no sales call.
OPC UA is the protocol most shop-floor integrations run on. If your team is still fighting connection errors instead of looking at production data, this is worth an afternoon.
opcuaconnect.com
If your line runs Siemens PLCs, turning on the OPC UA server in TIA Portal is usually a 10-minute job, once you know where the setting actually lives.
opcuaconnect.com has a step-by-step for exactly this, plus the same walkthroughs for Beckhoff, Ignition, and Grafana on the receiving end.
If you're already streaming that data somewhere, the next question is what you're doing with it once it lands.
opcuaconnect.com has a step-by-step for exactly this, plus the same walkthroughs for Beckhoff, Ignition, and Grafana on the receiving end.
If you're already streaming that data somewhere, the next question is what you're doing with it once it lands.
We're at IMTS this week, on the OPC Foundation booth (North Building, Level 3, #236349).
Your machines can already speak OPC UA. That's not the hard part anymore, there are 20 companies live-demoing a controller-to-controller OPC UA FX setup right next to us.
The hard part: a machine can tell you it's "NotExecuting." It can't tell you it's sitting there waiting for material.
That's the piece we work on, in 450+ factories across 30+ countries. Average gain: +29 OEE points.
If you're at McCormick Place through Saturday, bring your machine list. 20 minutes is enough to show what it'd look like on your line.
Not in Chicago? Free OPC UA troubleshooting checklist here: opcuaconnect.com
Your machines can already speak OPC UA. That's not the hard part anymore, there are 20 companies live-demoing a controller-to-controller OPC UA FX setup right next to us.
The hard part: a machine can tell you it's "NotExecuting." It can't tell you it's sitting there waiting for material.
That's the piece we work on, in 450+ factories across 30+ countries. Average gain: +29 OEE points.
If you're at McCormick Place through Saturday, bring your machine list. 20 minutes is enough to show what it'd look like on your line.
Not in Chicago? Free OPC UA troubleshooting checklist here: opcuaconnect.com
M14_SPD_ACT.
That's a real tag name. And it's the kind of data people are now feeding to AI and expecting answers from.
It doesn't say which asset it belongs to. It doesn't say what unit it's in. It doesn't say whether the machine was running when the value was recorded.
95% of enterprise GenAI pilots return nothing. In manufacturing, the reason is rarely the model.
Imerys hit this wall in 2018, with dashboards instead of AI. Isolated solutions, no way to scale, data silos with no holistic view.
What fixed it wasn't a better pilot. It was changing the order: data layer first, applications second.
By 2024 at Lixhe, OPC UA was the common language across the group. PackML where it fit, custom models where it didn't, old and new machines on the same platform.
230 sites. 40 countries. Not a single machine replaced.
Case study published by the OPC Foundation, with Sterfive on the OPC UA stack.
That's a real tag name. And it's the kind of data people are now feeding to AI and expecting answers from.
It doesn't say which asset it belongs to. It doesn't say what unit it's in. It doesn't say whether the machine was running when the value was recorded.
95% of enterprise GenAI pilots return nothing. In manufacturing, the reason is rarely the model.
Imerys hit this wall in 2018, with dashboards instead of AI. Isolated solutions, no way to scale, data silos with no holistic view.
What fixed it wasn't a better pilot. It was changing the order: data layer first, applications second.
By 2024 at Lixhe, OPC UA was the common language across the group. PackML where it fit, custom models where it didn't, old and new machines on the same platform.
230 sites. 40 countries. Not a single machine replaced.
Case study published by the OPC Foundation, with Sterfive on the OPC UA stack.
Full argument, with the numbers behind it - Federal Reserve and BLS data, MIT on AI returns, and the OPC Foundation's move to convert 430+ companion specifications into AI-ready assets:
https://www.linkedin.com/pulse/american-factories-dont-have-ai-problem-vocabulary-a06we/
https://www.linkedin.com/pulse/american-factories-dont-have-ai-problem-vocabulary-a06we/
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American Factories Don't Have an AI Problem. They Have a Vocabulary Problem.
Why the constraint on industrial AI is not compute, talent or capital — but machines that cannot describe themselves. There is a strange contradiction running through American manufacturing right now.