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Artificial intelligence in manufacturing opens the door to new possibilities. With the ability to analyze vast amounts of data, predict potential issues, and monitor production in real time, AI is transforming the way factories operate. Explore how AI can drive smarter, more efficient production management.
AI for optimizing production processes
Manufacturing plants today face a range of challenges: rising energy costs, the need for process optimization, and increasing demands for product quality and traceability.
Artificial Intelligence (AI) is entering the factory floor to support these efforts, transforming the way production is managed. With AI, it’s possible to boost operational efficiency, minimize losses, and implement intelligent optimization mechanisms.
Discover how AI can unlock new opportunities for your production!
How does AI support manufacturing
Artificial intelligence integrates seamlessly with existing IT infrastructure such as MES systems, integrated PLCs, SCADA, and ERP platforms. Based on the collected data, AI delivers precise recommendations and enables automated improvements in both machine performance and human operations.
Key benefits of AI in manufacturing:
Automatic data analysis and trend detection
Predictive maintenance – anticipating machine failures before they happen
Optimization of energy and raw material usage
Real-time detection of production defects
AI-assisted production planning
Identification and elimination of bottlenecks in production processes
Quality control – real-time image analysis from cameras
Automatic report and recommendation generation
AI in production management
At explitia, we support manufacturers in preparing for the successful implementation of AI-driven systems.
Ready to harness the power of AI in your production environment? Let’s talk!
AI in food manufacturing
The food industry is evolving at a rapid pace. This presents manufacturers with growing challenges: rising production costs, the need for continuous quality monitoring, process optimization demands, and increasing market competition.
Artificial intelligence (AI) can support this sector by boosting efficiency, reducing waste, and improving overall production quality.
A strategic approach to AI implementation
AI is not a magic solution. Rolling out new technologies at full scale right away can often have the opposite of the intended effect — and the same applies to artificial intelligence.
The best way to start working with AI is through a small-scale test, known as a Proof of Concept (PoC). This approach allows you to:
- understand the real potential of AI in your specific production environment,
- verify whether the system performs as expected,
- assess the quality of collected data and adapt AI models accordingly,
- evaluate what skills and resources are needed for a full-scale implementation.
Data security and AI
Data is a critical component of any successful AI implementation, which is why data protection and processing methods play a key role.
Cloud and AI in manufacturing – the optimal infrastructure approach
Implementing artificial intelligence in manufacturing requires significant computing power and efficient data management. The optimal solution combines cloud technologies with on-premise IT infrastructure.
AI models can analyze data locally — within systems such as MES, ERP, or SCADA — and then transfer the processed information to the cloud for advanced analysis and long-term storage.
AI in manufacturing: Benefits of the hybrid approach
- Cost optimization – cloud processing eliminates the need for investing in expensive server infrastructure.
- Scalability – computing power can be dynamically scaled based on current needs, e.g., when analyzing large data sets.
- Flexibility and fast deployment – AI solutions deployed in the cloud can be updated more easily and integrated with new technologies.
- Data security – the hybrid model allows sensitive data to be stored locally, while leveraging advanced cloud-based security mechanisms.
Analysis of technical documentation and production processes
AI can significantly accelerate the interpretation and retrieval of data from technical documentation, industry standards, and machine specifications.
In manufacturing, fast and accurate access to information is crucial for the efficiency of operators and maintenance teams.
Example analyses of documentation using AI solutions
| Automatic search and analysis of documentation | AI can instantly retrieve relevant operating instructions, maintenance protocols, and process parameters. |
| Support for operators and maintenance engineers | Quick access to repair and maintenance recommendations |
| Interpretation of standards and procedures | AI can analyze complex regulatory requirements (e.g. ISO, HACCP, TISAX) and suggest actions that ensure compliance. |
| Automated analysis of production reports | AI models can interpret and consolidate performance metrics like OEE and SPC, providing data-driven recommendations for process optimization. |
AI in manufacturing – why data quality and context matter
Foundations for effective, data-powered AI in manufacturing
High-quality data as the foundation
AI requires large volumes of both historical and real-time data from production processes — for example, sensor data, MES system outputs, or SPC analyses.
Data context
Raw data must be enriched with production context — for example, linking machine failures to specific operating conditions, seasonal patterns, or changes in production parameters.
Continuous improvement
AI needs to learn continuously, adapting to changes in production processes and emerging market trends.
Combining AI with expert knowledge
AI can provide recommendations, but it's the human who decides whether to act on them. That’s why close collaboration between AI systems, operators, and engineers is essential.
Why choose explitia?
- We have hands-on experience in driving digital transformation across various manufacturing sectors.
- We believe in the power of new technologies and combine deep knowledge of production processes with strong software development expertise.
- Our solutions are tailored to the specific challenges of each manufacturing facility — from concept to full implementation.
- We specialize in data flow automation and digital transformation, helping factories become smarter and more efficient.
- Our offer includes a wide range of solutions: proprietary software developed in-house, as well as systems from world-class technology providers.
The effectiveness of AI depends on the data it’s given.
Collecting the right data and placing it in the proper context is essential for accurate analysis and reliable recommendations.
At explitia, we help companies prepare for AI implementation and show them how to unlock the full potential of artificial intelligence.
Ready to start? Let’s connect.
Schedule a free consultation to learn how AI can support your production management.