Automotive Consulting: Our advice on the transformation for industry, production & mobility of the future

Global supply chains remain unstable, especially for semiconductors, metals and electronic components. Companies are struggling with long lead times, unpredictable outages and geopolitically triggered bottlenecks. At the same time, the pressure on just-in-time processes is increasing, while storage costs are barely affordable. Data-driven forecasts, real-time transparency and resilient sourcing models are becoming key competitive factors. Manufacturers must actively diversify their supply chains and proactively monitor them at the same time.

Trade regimes are changing faster than ever, which has a massive impact on costs, production locations and sales strategies. New tariffs or export controls can make existing business models uneconomical overnight. Companies therefore need robust scenario analyses and flexible production networks. AI-supported analysis of regulatory data can ensure that decisions are adjusted in good time. Without proactive trading strategies, there is a risk of margin losses and competitive disadvantages.

Rising costs for materials, software and batteries are increasing vehicle prices and weakening demand in mature markets. At the same time, new players are entering the market with cheaper models. Companies need to develop data-based pricing models, identify cost drivers and exploit optimization potential along the production chain. Customers expect personalized financing and transparent offers. Without smart pricing, OEMs will lose sales and market share.

While electrification is increasing globally, demand is faltering in some markets due to infrastructure deficits, charging uncertainties and political setbacks. Manufacturers need better analysis of battery ageing, costs and reliability. At the same time, networks need to consider smart charging, vehicle-to-grid models and new energy pathways. Bad investment decisions can lead to stranded assets and create long-term disadvantages.

There is a shortage of skilled workers at all levels: Software engineers, battery technicians, production workers and logistics experts are in short supply. Companies need to automate, scale up training and redesign human-machine collaboration. At the same time, labor costs are rising while production volumes must remain flexible. A lack of talent leads directly to capacity bottlenecks and productivity losses – a key risk factor.

Connected vehicles, OTA updates, production facilities and supply chains create enormous attack surfaces. Cyberattacks can paralyze not only data, but also entire fleets and production facilities. Regulatory requirements are increasing significantly – especially in the context of autonomous systems. Companies need zero trust architectures, continuous audits and fast incident response structures. A lack of cyber hygiene jeopardizes security, brand and sales.

The automotive industry must comply with increasing regulations on AI, software, sustainability, emissions and safety. The requirements of the EU AI Act, emissions standards, data protection and safety regulations are profoundly changing product development and operations. Compliance is becoming more complex and more expensive. However, proactive governance also creates opportunities for innovation, differentiation and sustainable business models.