AI in logistics

(Production) companies provide spare or additional parts even after the end of the regular manufacturing period of a product. The supply of parts is usually ensured by companies supplying spare parts, which produce parts at significantly higher costs than in series production, with long lead times and in medium quantities. This results in negative effects for the company in aftersales. If a component has to be remanufactured when needed, this usually takes several weeks. Customers who cannot use their products during this time change their opinion of the manufacturing brand for the worse. Once the parts have been produced, the parts shipped by the spare parts supplier are repackaged - so that the parts can be used individually - and put into storage. The additional effort and capital tied up in this process creates personnel and management overhead and reduces the company's bottom line. Our rapid manufacturing portfolio management system enables the continuous transition from batch & queue to single-piece process. By continuously matching requirements, drawing data and specifications in existing systems, the entire manufactured parts portfolio is captured and its production requirements are matched with existing and upcoming rapid manufacturing capabilities. In this way, our AI builds an ever-growing number of options to produce parts in rapid manufacturing - at the required time, in the required quantity with the required quality - ideally locally at the point of need. In concrete application, this means: Purchasers now have the option to order one component rather than 5000 when needed. The costs are transparent in advance, and the order is placed via "one-click" in the system. Repackaging, complex logistical supply chains and warehousing are eliminated. The supply process for customers is reduced to the shortest possible time and the costs are considerably lower than with a "classic" spare parts supply.