Due to the MADE trends (new mobility, autonomous driving, digitalization and electromobility), the automotive industry is in one of the biggest transformation phases.
Through cloud-based mobility services such as car sharing and autonomous driving, new players are entering the automotive market, triggering a transformation or displacement of established business models. Disruptive technologies such as AI and machine learning will increasingly shift the focus of automotive manufacturers towards B2B and thus towards sales to fleet operators.
In the course of digitalization, cross-departmental IT expertise is increasingly needed at automotive manufacturers and competence in data analysis and data management is becoming more relevant. Manual IT systems are increasingly being replaced by software solutions to make efficient data-based decisions and optimize processes. The customer relationship is also changing as a result of digitization in that OEMs are increasingly using digital sales channels to reach customers directly. Services such as Connected Car enable manufacturers to communicate with customers over the entire period of use of a car, increasing direct sales and weakening the position of dealers.
In addition, current crises are increasingly disrupting supply chains, making a reliable early warning system for supply chain disruptions increasingly relevant to maintain production.
Automated predictive systems can support logistics to optimize the supply chain and prevent bottlenecks.
Darüber hinaus werden durch aktuelle Krisen Lieferketten zunehmend gestört, was ein verlässliches Frühwarnsystem für Lieferkettenstörungen immer relevanter macht, um die Produktion aufrecht zu erhalten. Automatische Predictive-Systeme können die Logistik unterstützen, die Supply Chain zu optimieren und Engpässe vorzubeugen.
