TL;DR
Production monitoring software records what every machine is doing as it happens: running, stopped, slow, and how many parts it made. This guide compares 7 tools, including Fabrico, and gives you 5 tests for what "real time" has to mean on your shop floor before you choose one.
Production monitoring software collects data from manufacturing equipment and shows it on live dashboards, so supervisors, operators and maintenance see the same picture during the shift.
Most tools track machine state, part counts, cycle times and stops, and calculate OEE from them, which is why the category overlaps with OEE monitoring software.
Production tracking software is a closely related term. It often puts more weight on orders, jobs and operator input, while monitoring puts more weight on machine data.
Fabrico's machine monitoring software logs stops automatically from the PLC, an IoT sensor or a camera. For what each record should contain and how to roll it out, see our guide to production tracking software.
Many tools do both, so compare them by what they actually capture, not by the label.
If OEE is the number you want to run the plant on, see how Fabrico's OEE software tracks it by line and shift from live machine data.
Every tool in this guide says real time on its website. Before you compare tools, agree on what the word must mean on your shop floor.
| Test | Why it matters | How to check it in a demo |
|---|---|---|
| Machine state updates within seconds | A supervisor can only react to a stop while it is happening | Stop a machine and time how long the dashboard takes to change |
| Every stop has a start and an end time | Durations are what you add up in a Pareto chart | Ask to see the raw event list for one shift |
| Short stops are captured, not averaged | Short stops often hide inside "slow running" | Trigger three short stops and look for three events |
| Counts come from the machine | Manual counts drift and arrive late | Compare the count with a manual count over one hour |
| The right person is told | A dashboard nobody watches changes nothing | Ask who gets notified about a long stop, and how |
If a tool passes all five, it gives you real time you can act on. If it only refreshes a report every hour, it is fast reporting, not monitoring.
| Data point | Usual source | What you use it for |
|---|---|---|
| Machine state (running, stopped, changeover) | PLC, sensor or camera | Availability and the downtime timeline |
| Part count | PLC counter or sensor | Output and performance |
| Cycle time | Calculated from counts or read from the PLC | Slow running against the ideal cycle time |
| Stop reason | Operator on a tablet, or a machine alarm code | Knowing why, not only how long |
| Rejects | Operator entry, inspection station or sensor | Quality and first pass yield |
| Product or order | Operator selection or ERP | The right standard for each product |
| Shift and crew | Shift calendar | Fair comparisons between shifts |
Start with state and counts, because they are automatic and hard to argue with.
Add stop reasons next, using a short list, as our guide to downtime reason codes explains.
| Paper or spreadsheet | Production monitoring software | |
|---|---|---|
| When you see a loss | After the shift, or the next day | While it is happening |
| Short stops | Rarely written down | Captured from machine data |
| Accuracy of durations | Rounded, often from memory | Timestamped events |
| Effort for operators | Writing and adding up | Picking a stop reason |
| Cost to start | Very low | Software, and sensors for machines without a usable signal |
Manual tracking is a good way to start the habit. It stops being enough once you need to find the losses nobody writes down.
Here is a simple way to size the value before you buy anything. The numbers are an illustration, so replace them with your own.
| Item | Value |
|---|---|
| Line speed at the ideal cycle time | 3 units per minute |
| Short stops found by automatic tracking, not in the paper log | 30 minutes per day |
| Share you expect to remove in the first year | Half, so 15 minutes per day |
| Production days per year | 250 |
| Contribution margin per extra unit sold | €2 |
If the plant cannot sell more, value the recovered time as avoided overtime or a shift you no longer need. Then compare the result with the full cost of the system, including sensors and the time your team spends on it.
We picked tools that sell real-time production monitoring or production intelligence on their own websites, checked on 17 September 2026.
Fabrico is listed first because it is our product. The other six are listed in alphabetical order, not ranked.
Sources: each vendor's public website, checked on 17 September 2026. Product names are trademarks of their owners.
Features change often, so confirm details with each vendor.
| Tool | Data and maintenance, per the vendor |
|---|---|
| Fabrico | Data: PLCs, IoT sensors and AI cameras Maintenance: Full CMMS built in |
| Guidewheel | Data: Clip-on sensors that read a machine's electrical signature, plus operator input at the line Maintenance: Maintenance requests from the floor, and actions triggered through your CMMS |
| L2L | Data: PLCs, SCADA, IIoT devices and operator entry Maintenance: Its own CMMS |
| Mingo Smart Factory | Data: PLC hardware, retrofit sensors and operator entry Maintenance: CMMS integrations, naming Fiix and UpKeep |
| Shoplogix | Data: Machine signals, PLCs, sensors and OPC, plus operator reason entry Maintenance: Its own Maintenance (CMMS) module |
| Sight Machine | Data: Controls, historians, MES and ERP Maintenance: Predictive maintenance recommendations |
| Worximity | Data: Sensors, PLCs and APIs, plus operator input Maintenance: CMMS integration through APIs, plus maintenance forms |
Disclosure: Fabrico is our product.
What it is: an OEE platform with a full CMMS built in, so the losses you track and the maintenance work that fixes them sit in one system.
Your team can open work orders, run recurring preventive maintenance, manage spare parts and use approval workflows in the same platform.
Technicians use the iOS and Android apps and scan QR codes on machines. Fabrico is certified to ISO 27001, ISO 9001 and ISO 20000-1 and hosted on AWS in the EU.
What it is: Guidewheel calls its platform FactoryOps and says it "gives your team machine intelligence, real-time visibility, and the AI-ready data layer that drives profitability."
What it is: L2L describes itself as a Connected Manufacturing Operations Platform that combines "operational data and AI to drive real-time action on the shop floor".
What it is: Mingo describes itself as "a manufacturing productivity and analytics platform that provides visibility into the data from machines, devices, and people and puts it all into context." Its site says Mingo is now a Nulogy company.
What it is: Shoplogix describes a cloud-based platform "that provides manufacturers with real-time data presented in user-friendly visual dashboards". It says it is part of the Constellation Software family.
What it is: Sight Machine presents itself as an agentic manufacturing platform, which it launched in June 2026. Its homepage describes "Agent-powered manufacturing that continuously finds more output, eliminates more waste, and improves with every run".
What it is: Worximity sells "OEE and real-time production monitoring that boosts efficiency, improves profitability and empowers your manufacturing workforce", together with continuous improvement coaching.
Pick your bottleneck machine, agree on the criteria below before the pilot starts, and score the tool at the end.
| Criterion | Pass when |
|---|---|
| Count accuracy | The system's count matches a manual count over a full shift |
| Stop capture | Short stops you trigger on purpose appear as separate events |
| Reason coverage | Most stop minutes above your threshold have a reason by the end of each shift |
| Adoption | Operators enter reasons without daily reminders |
| Action | The team has fixed at least one loss it found in the data |
| Trust | The supervisor uses the dashboard in the daily meeting instead of the paper log |
Testing on your hardest machine shows a tool's limits early. Our daily OEE meeting guide shows how to use the data once it is trusted.
If short stops and downtime are your biggest losses, start with our guides on micro stops and how to reduce machine downtime.
For six more tools, see our production monitoring systems comparison.
To see how Fabrico tracks production in real time, with maintenance work in the same platform, request a demo.
Production tracking often focuses on orders, jobs and operator input. Production monitoring focuses on machine data collected automatically.
Many tools cover both, so check what each one captures on your machines.
It means machine state and counts update within seconds, every stop is recorded with a start and end time, and the right people see it during the shift.
Often, yes. Machines without a usable control signal can be connected with sensors or cameras, depending on the tool.
Ask each vendor to show the method on your oldest machine.
Plan about 30 days for one machine. That is enough time to check the counts, capture the stops, build the habit of entering reasons and fix a first loss.
It is production tracking software that records output, stops and job progress as they happen, from machine signals and operator input.
Use the five tests in this guide to check whether a tool's tracking is truly real time.
See how Fabrico unifies OEE and maintenance in one platform.
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