Solutions

System integration

The first step toward full and effective digitalization of manufacturing companies and AI implementation

Systems integration in the manufacturing industry

Seamless flow of information across the entire organization

In most companies, many independent systems operate – from ERP and CRM, through financial applications, to analytical tools and production-support systems.

Each of them is responsible for a different business area, but they often operate in isolation. As a result, data is generated at multiple levels – from machines and PLC controllers, through SCADA and MES, to ERP systems managing planning and finance.

Lack of integration means data does not flow automatically between systems. As a consequence, organizations may face problems such as:

  • production planning and execution not being synchronized,
  • operational data reaching management systems with delays,
  • reports requiring manual work,
  • data inconsistencies between systems.

Systems integration involves creating communication mechanisms between these solutions so they can automatically exchange data. As a result, information circulates between systems without the need for manual input, increasing organizational efficiency and reducing the risk of errors.

In a production environment, integration is particularly important – every minute of delay and every data inconsistency has a real impact on financial results.

A five-level automation pyramid diagram. From bottom to top: “Sensors & Signals” (Field Level), “PLC” (Control Level), “SCADA” (Supervisory Level), “MES” (Management Level), and “ERP” (Enterprise Level). Each level is shown as a stacked colored segment forming a pyramid, with enterprise at the top and field devices at the bottom.
Production environment system levels

Efficient data exchange as the foundation of an effective organization

What does systems integration mean in practice?

Systems integration is not a one-time “connection of two applications.” It is a structured architecture that allows systems to exchange data in a controlled, automated, and scalable way.

At 3Soft, we build it based on a middleware layer – ESB (Enterprise Service Bus) – which manages communication between systems.

Implementing an ESB integration layer organizes system communication and eliminates chaotic point-to-point connections. This creates an integration hub that can evolve together with the organization – without losing control over data flows.

Thanks to this, companies can develop their system landscape without the risk of integration chaos.

Integration in operational practice

What does the integration process look like in daily operations?

After implementation, data is automatically transferred between systems – without manual intervention.

For example:

  • ERP sends the production plan to MES,
  • MES reports production execution back to ERP,
  • SCADA provides operational data for reporting,
  • HR shares information about employee availability,
  • CMMS informs about machine status and availability,
  • the quality system provides inspection results.

Each department works on the same, up-to-date data. Processes become smoother, and decisions are made faster – based on reliable information.

System integration diagram in a production environment: a central ESB manages the flow of messages between MES, TETA HR, CMMS, QAPS, and SAP. The diagram illustrates the exchange of data including production plans, material availability, production reporting, orders, and employee competency information.
How does the Enterprise Service Bus work?

What does implementation look like?

01
Connecting systems

Applications and systems are integrated using interfaces (APIs, middleware) – enabling secure real-time data exchange.

02
Building a cohesive integration environment

An environment is created where processes run automatically – without the need to manually transfer information between systems.

03
Automating data flows

Repetitive tasks, errors, and data duplication are eliminated – increasing process fluidity and predictability.

04
Structured communication between systems

Data exchange follows defined integration rules – ensuring consistency and up-to-date information across the organization.

Benefits of the Data Bus (Enterprise Service Bus – ESB)

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Tailor-made technology

We build the data bus using technologies best suited to client needs – e.g., NiFi (Open Source), SSIS, Kafka.

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ESB updates and improvements handled by 3Soft

We provide development and maintenance – updates, fixes, and integration adjustments resulting from changes in client systems are handled by 3Soft.

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LowCode

The Low-Code approach enables application development and process automation using ready-made components and configurations – instead of building everything from scratch. This accelerates the implementation of new integrations and changes – allowing faster response to business needs and system environment development.

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Process monitoring

Each data flow can be monitored and analyzed – enabling quick identification of errors, delays, or irregularities in system communication.

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Scalable and structured integration

ESB acts as a central communication management mechanism – standardizing integrations, controlling data flows, and enabling solution scalability.

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Flexible flow design

It is possible to quickly design and modify data flows between systems – without rebuilding the entire architecture.

Tangible operational benefits resulting from data integration

What does the organization actually gain?

Reduced number of manual operations and repetitive tasks.

Lower risk of errors caused by manual data entry.

Faster processes – information reaches where it is needed, exactly when it is needed.

Consistent and synchronized data across systems.

Efficient data exchange as the foundation of an effective organization

Integration as the foundation for AI implementation

Many organizations today talk about Artificial Intelligence in manufacturing. However, AI requires one thing above all – access to reliable, up-to-date, and consistent data.

If data is scattered across multiple systems and inconsistent, even the best algorithms will not deliver real value.

Integration organizes the information environment and creates the foundation for:

  • predictive maintenance,
  • real-time performance analysis,
  • planning optimization,
  • automatic anomaly detection,
  • advanced reporting and recommendations.

That is why systems integration is the first step toward mature digitalization.

They have trusted us

Manufacturing Rubber Products
Industrial cameras Manufacturing
Automotive Manufacturing
Healthcare
Manufacturing Rubber Products
Industrial cameras Manufacturing
Automotive Manufacturing
Healthcare

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