Efficiency and sustainability through artificial intelligence
Artificial intelligence (AI) and machine learning can fundamentally change corporate processes and business models. Machines produce more efficiently and sustainably, processes are intelligently controlled, and employees are supported in complex analyses. The potential applications of AI in manufacturing companies range from process and logistics data analysis, quality assurance, and machine control to completely new digital, data-based business models.
Artificial intelligence includes machine learning technologies that can be used to identify correlations in complex production and logistics processes. Algorithms and methods are used to generate complex models from a company's data representing the available knowledge. Using the latest analysis and interpretation methods, significant correlations can then be identified and evaluated.
The algorithms and methods of artificial intelligence and machine learning are now used in research and the everyday operations of manufacturing companies. Innovative companies are already using them every day to further develop their products and processes. AI applications suggest similar products, analyze and evaluate processes, and forecast demand. AI controls in advance which products logistics centers stock and how many. The placement of goods on shelves is optimized so that as little space as possible is needed and storage costs are as low as possible.