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Machine & PLC Integration
Connect industrial machines using PLCs, IoT gateways, and protocols like Modbus, OPC-UA, and MQTT.
IoT + Odoo for Smart Manufacturing
Connect machines, sensors, and ERP to build a real-time, intelligent manufacturing environment.
Context
Manufacturers are rapidly moving toward Industry 4.0, where machines, sensors, and software work together to create automated and data-driven production systems. However, many factories still rely on manual data entry and disconnected machines, resulting in limited visibility and inefficient operations. An IoT-integrated Odoo system bridges this gap by connecting shopfloor data directly with business workflows.
Who this is for
We usually work best with teams who know building software is more than just shipping code.
This is for teams who
Manufacturing companies moving toward Industry 4.0
Factories with multiple machines and production lines
Operations teams seeking real-time production visibility
Enterprises looking to integrate IoT with ERP systems
This may not fit for
Small workshops with minimal automation needs
Businesses without machine-driven production
Organizations not ready for digital transformation
Teams not requiring real-time production insights
Problem framing
The operating reality
Manufacturing decisions fail without real-time machine data.
Factories often depend on manual data collection, which leads to inaccurate production insights and delayed decision-making. Machines operate in isolation without feeding real-time data into ERP systems. This disconnect results in undetected downtime, inefficient planning, and inability to measure true performance metrics like OEE, ultimately impacting productivity and profitability.
How this is usually solved (and why it breaks)
Common approaches
Manual logging of production and machine data
Standalone machine monitoring without ERP integration
Periodic reporting instead of real-time tracking
Reactive maintenance after machine failure
Where these approaches fall short
Delayed detection of machine issues
Inaccurate production and efficiency metrics
Poor production planning and scheduling
Higher downtime and operational costs
Delivery scope
Core capabilities we implement
Structured building blocks we use to de-risk delivery and keep enterprise programs predictable.
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Real-Time Data Capture
Track machine status, cycle time, output, and downtime continuously.
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ERP Synchronisation
Automatically update Odoo MRP, Maintenance, and Quality modules.
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OEE and Performance Dashboards
Monitor productivity, efficiency, and machine utilization in real time.
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Predictive Maintenance
Use ML models to detect anomalies and predict failures before breakdowns.
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Operator Interfaces
Provide shopfloor terminals for manual input, overrides, and notes.
How we approach delivery
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Integrate machines using IoT gateways and industrial protocols
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Stream real-time data into Odoo ERP
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Automate production, maintenance, and quality workflows
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Build dashboards and predictive analytics for decision-making
Engineering standards at PySquad
We build IoT-enabled Odoo manufacturing systems that connect machines, capture real-time data, and automate production workflows. Our approach combines industrial IoT integrations, ERP synchronization, and analytics to create a smart, scalable, and efficient manufacturing ecosystem.
Expected outcomes
Measurable results teams plan for when we ship the full stack, integrations, and governance together.
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Reduced downtime through proactive monitoring
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Accurate, real-time production data
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Improved productivity and capacity utilization
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Better planning with data-driven insights
Turn your factory into a real-time, data-driven manufacturing system.
Share scope, constraints, and timelines. We respond with a clear delivery approach, not a generic pitch deck.
Start the conversationFrequently asked questions
Straight answers procurement and engineering teams ask before a build kicks off.
Any machine supporting PLC, Modbus, OPC-UA, MQTT, or custom gateways.
Yes. Production, QC, and maintenance records update instantly.
Yes. AI models can detect anomalies or failure patterns.
We can integrate with existing PLCs or provide IoT devices.
Yes. Machine-wise and shift-wise dashboards are available.
About PySquad
Short answers if you are deciding who builds and supports this kind of work.
- What is PySquad?
- We are a software engineering team. PySquad works with people who run complex operations and need tools that fit how they work, not software that forces them to change everything overnight.
- What do you get from us on a project like this?
- Discovery, build, integrations, testing, release, and follow up when real users are in the product. You talk to engineers and leads who own the outcome, not a rotating cast of handoffs.
- Who do we work with most often?
- Teams in logistics, marketplaces, marina, aviation, fintech, healthcare, manufacturing, and other fields where downtime hurts and clarity matters. If that sounds like your world, we are easy to talk to.
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happy clients50+
Projects Delivered20+
Client Satisfaction98%