Efficiency and sustainability through artificial intelligence
Artificial intelligence (AI) and machine learning can fundamentally change business processes and business models. Machines produce more efficiently and sustainably, processes are controlled in an intelligent way and employees are supported when dealing with complex analyses. The 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 covers technologies of machine learning through which coherences in complex production and logistics processes can be recognized. Using algorithms and methods, complex models representing the existing knowledge are generated from the data of a company. Using the latest analysis and interpretation methods, significant correlations can be identified and evaluated.
The algorithms and methods of artificial intelligence and machine learning are now not only used in research but also in the daily operations of manufacturing companies. Innovative companies already use them every day to develop their products and processes. AI applications propose similar products, analyze and evaluate processes and forecast demand. AI identifies in advance which and how many products logistics centers must have in store. The placement of goods on shelves is optimized to take up as little space as possible and keep storage costs as low as possible.