Tailor-made technology
We build the data bus using technologies best suited to client needs – e.g., NiFi (Open Source), SSIS, Kafka.
Solutions
The first step toward full and effective digitalization of manufacturing companies and AI implementation
Systems integration in the manufacturing industry
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.
The result?
Lack of integration means data does not flow automatically between systems. As a consequence, organizations may face problems such as:
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.

Efficient data exchange as the foundation of an effective organization

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
After implementation, data is automatically transferred between systems – without manual intervention.
For example:
Each department works on the same, up-to-date data. Processes become smoother, and decisions are made faster – based on reliable information.

Applications and systems are integrated using interfaces (APIs, middleware) – enabling secure real-time data exchange.
An environment is created where processes run automatically – without the need to manually transfer information between systems.
Repetitive tasks, errors, and data duplication are eliminated – increasing process fluidity and predictability.
Data exchange follows defined integration rules – ensuring consistency and up-to-date information across the organization.
We build the data bus using technologies best suited to client needs – e.g., NiFi (Open Source), SSIS, Kafka.
We provide development and maintenance – updates, fixes, and integration adjustments resulting from changes in client systems are handled by 3Soft.
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.
Each data flow can be monitored and analyzed – enabling quick identification of errors, delays, or irregularities in system communication.
ESB acts as a central communication management mechanism – standardizing integrations, controlling data flows, and enabling solution scalability.
It is possible to quickly design and modify data flows between systems – without rebuilding the entire architecture.
Tangible operational benefits resulting from data integration
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
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:
That is why systems integration is the first step toward mature digitalization.
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