AI is meant to make supply chains more robust, but often the opposite is the case. Why is that? Because smart algorithms only create real added value when they are deeply embedded in a company’s specific production reality.
In the current Industriemagazin article explains Eugen Lindorfer, authorized signatory and Head of AI Research at STRG.AT, why local expertise, data quality and an understanding of cause-and-effect relationships are critical to successfully implementing AI-based supply chain solutions.
Used correctly, AI can accelerate production processes by up to 30 %, reduce costs and create resilience in uncertain markets! Unique production processes are difficult to copy and therefore the key to sustainable differentiation. Those who manage to intelligently digitize and automate these processes achieve operational efficiency.
But standard solutions quickly reach their limits. Read the full article to learn how individual AI models and clean data help increase operational efficiency, resilience and scalability.
