Artificial intelligence can lead to faster and better results in the increasingly complex decision-making scenarios of supply chain management. An important use case is scheduling tasks such as optimizing delivery readiness with reduced inventories. High delivery capability of own stock-keeping units (SKUs) is key to the competitiveness of trading companies and stock-keeping manufacturers. However, it often comes at the price of high inventories, which ties up liquidity and entails the risk of being left with unsaleable stock. Supply chain management and sales occasionally try to escape this dilemma by specifying different levels of delivery readiness for different fields in the product range, which most ERP systems can then use to calculate the required safety stock. You can find the full article on the website of the magazine Beschaffung aktuell:https://beschaffung-aktuell.industrie.de/news/schneller-zur-besseren-lieferbereitschaft-bei-reduzierten-bestaenden/
Readiness for delivery
Prof. Dr. Andreas Kemmner
Prof Dr Kemmner is Co-CEO of the Abels & Kemmner Group and has carried out well over 200 national and international projects in 30 years of consulting work in supply chain management and restructuring and was the only publicly appointed expert for the profitability assessment of industrial companies in Germany for over 10 years. In 2012, he was appointed Honorary Professor of Logistics and Supply Chain Management by the WHZ. The results of his projects have already received several awards.