Industrial Artificial Intelligence Use artificial intelligence to optimize and automate business processes

Gain competitive advantage with industrial intelligence.

Challenges in using industrial AI

The use of artificial intelligence (AI) offers enormous potential for efficiency and productivity, for example in the planning and visualization of work processes or in the maintenance of systems. Because this creates decisive competitive advantages, the pressure on companies to act is constantly increasing. At the same time, the widespread use of AI applications in industry is not yet a reality. This is because process owners are not fully willing to trust the forecasts or automated decisions of a supposed AI black box and are reluctant to integrate corresponding applications.

Easy AI solutions for all companies

Many companies do not have the time or resources to build up comprehensive knowledge about artificial intelligence on their own. Therefore, AI solutions are required that are easy to understand, explain and intuitive to use. These solutions should take into account the different levels of knowledge of different user groups.

  • Method combination

    Only in combination with conventional optimization methods does AI fully play out its advantages.
  • Data robustness

    Business processes must continue reliably even with incomplete data. This is where AI comes in, providing the best decision support even under difficult conditions.
  • Process integration

    AI is not a stand-alone application. It must be securely integrated into existing processes and interact with other services via interfaces and protocols.
PSI at the 2026 Hannover Messe: AI-based software for optimizing production, logistics, and energy, under the theme "UNLOCK: your business potential with Industrial AI".

Use of artificial intelligence in industry

Companies use Industrial Intelligence to gain significant advantages over their competitors. By cleverly combining various Industrial AI methods, they can

  • increase productivity and efficiency,
  • make faster and better business process decisions,
  • optimize and automate business processes,
  • leverage your tools towards interaction with AI systems.

See how our customers have used AI to improve their businesses

20 %

Productivity gains

10 %

Cost savings

15 %

Emission reduction

References

Industrial AI product solutions are in productive use at many PSI customers across all industries.

PSIwms AI in use in the logistics centers of LPP Logistics
Industrial AI: Rethinking value creation

Focus on Industrial AI

The latest issue of Global Walnut Magazine offers exclusive insights and a fresh perspective on the topic of Industrial AI.

Excerpt from the contents:

  • Manufacturing in transition: When AI takes on the role of the expert
  • When facts learn to speak: PSI's Industrial AI framework
  • From AI agents to digital business operators
  • Smart warehouse: How AI is shaping tomorrow’s logistics today
To the magazine

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  • Optical Inspection and Quality Control With AI-Based Software in the Tire Industry
  • Explainable AI and Qualitative Labeling
  • Understanding Artificial Intelligence: Explainable AI with Interpretable KPI Labels

Solutions for the industry

Product PSIqualicision AI

With the decision support and optimization software, business processes can be planned efficiently and controlled in an optimized manner by means of qualitative evaluation of e.g., profitability and sustainability key performance indicators (KPIs).
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Product PSIdeepqualicision AI

The PSIdeepqualicision AI efficiently learns how to set the parameters of decision and optimization algorithms (DOA) so that almost any DOA procedure working on business process data can automatically adjust itself.
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Product PSIasm/Qualicision

The intelligent planning and monitoring software PSIasm/Qualicision combines planning and real-time control with KPI-based production optimization using Qualicision AI's scheduling and sequencing algorithms.
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Product PSIqualicision/ODS

Easily visualized and made available, PSIqualicision/ODS gives you the chance to classify data, put it into a context that is relevant to you, and thus create valuable insights from raw data - all the way to new business values and services.
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Illustration of a digital warehouse

Use Case Advantages of artificial intelligence in intralogistics

AI is the top trend in logistics. We explain how you can optimize your warehouse with AI.
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A male official working on a large high-tech monitor displaying data visualizations for Artificial Intelligence in system management and grid control.

Use Case A new level of dialogue - AI-supported interaction in grid management

Interacting with critical system data is often complex and requires in-depth specialist knowledge. But what would you say if complex analyses and calculations were as easy as having a conversation? The Model Context Protocol (MCP) promises precisely this paradigm shift.
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Visual comparison between LLMs and RAG — how AI with external data retrieval enhances accuracy and context in content generation.

Use Case AI-driven conversational access to technical knowledge

Optimize your industrial information access with Retrieval-Augmented Generation (RAG).
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Two colleagues discussing real-time system data on a screen, using AI-driven analysis to identify patterns for predictive maintenance and proactive problem-solving.

Use Case Measurement data at a glance - Enhanced grid monitoring with AI

Artificial intelligence is your decisive advantage: it continuously analyzes plant data, identifies suspicious patterns, and enables targeted maintenance before problems arise.
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Case Studies

Case Study Efficient warehouse logistics with PSIwms AI

LPP S.A. optimizes its logistics to meet the increasing e-commerce requirements.

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