It’s no secret that automotive supply chains have been on a bumpy road lately (with plenty of hairpin bends and unexpected obstacles). Auto enterprises have ridden out the three-year global semiconductor shortage, navigated the increasing popularity of hybrids and electric vehicles (EVs), and withstood a whole host of geopolitical disruptions – most recently the threat of US tariffs on automotive imports. To do more than survive in this unpredictable landscape, it’s essential that auto businesses bolster their resilience against supply-chain disruption by finding new efficiencies and embracing agility.

Yet automotive supply chains are complex, with sprawling and multifaceted processes which involve several tiers of suppliers – from original equipment manufacturers (OEMs) to aftermarket suppliers. Each of these factors creates dependencies that not only make it difficult to monitor and minimize the impact of supply chain disruption, but also make optimization a major challenge without the right tools.

The good news: there are technologies and approaches that can legitimately transform the automotive supply chain. So join us as we take a closer look at the most advanced and fruitful strategies for optimizing different components of the supply chain process.

The unique complexities of the automotive supply chain

Cars have a lot of moving parts. Specifically, the average internal combustion engine vehicle (ICEV) contains around 30,000 separate parts. As you’d expect, that makes automotive supply chain management uniquely complicated. But what are the other key factors contributing to the complexity of automotive logistics?

A tiered supply network

Automotive enterprises rely on a multi-layered network of suppliers, from each Tier 1 supplier (parts manufacturers) to Tier 3 raw materials providers. Not only does this siloed structure require highly-coordinated procurement, but can also obscure risks, and makes promptly responding to disruption a serious challenge.

JIT and JIS delivery

With a Just-in-time (JIT) or Just-in-Sequence (JIS) approach to inventory management, auto businesses can minimize excess storage and ensure they only receive parts when they’re actually needed. But this supply chain strategy means one delayed part can bring production skidding to a halt, so real-time visibility is crucial.

High product complexity

The tens of thousands of automotive parts required in a modern vehicle are often sourced from across the globe – and then customized to order. Automotive supply chain managers are therefore juggling specs, lead times, and interdependencies to ensure efficient assembly and avoid expensive down time.

Demand volatility

Maintaining an accurate understanding of fluctuating demand is also a big challenge for auto enterprises. They’re grappling with shifting consumer preferences, the impact of geopolitical uncertainties, and economic instability.

The slow transition to EVs

Several US states – and many other nations – have clear roadmaps for phasing out fossil fuel-powered cars. Naturally, this gradual switch to EVs is already impacting the automotive supply chain. For many auto enterprises, their legacy systems and supplier relationships are rooted in ICEV production, requiring a complete overhaul.

A rapidly changing regulatory environment

Emissions targets shift with every new government, along with trade policies and evolving safety regulations. To keep pace, automotive manufacturers and logistics companies alike must adapt quickly. They need to harness emerging technologies and embrace operational agility to monitor regulatory compliance, adopt real-time reporting, and modify processes quickly (and effectively).

  • Take a look at our customer story with MAHLE to discover how the automotive supplier boosted transparency and agility in the supply chain using Celonis Process Intelligence – and achieved a 20% inventory reduction group-wide.

Under the hood: key strategies for optimizing supply chain components

While the complexities of automotive supply chains make transformation challenging, there are plenty of optimization strategies auto enterprises can adopt.

1 - Advanced demand forecasting and intelligent inventory management

Powered by AI and machine learning models, demand forecasting enables auto enterprises to analyze historical data, wider market trends, and other external signals. This empowers supply chain managers to pre-empt peaks and troughs in demand, taking action to reduce waste, avoid shortages, and minimize storage costs.

2 - Strengthening supplier collaboration and transparency

A reliable and communicative supplier network is the foundation of an efficient supply chain – but collaboration and transparency are easier to sustain with the right supplier relationship management (SRM) and inventory management platforms. With these tools, auto businesses can align with their OEMs and other suppliers more effectively. This can drive reduced lead times, enabling performance tracking and real-time comms. Ultimately, a transparent, collaborative supply chain gives enterprises the agility to respond to fluctuating demand with minimal disruption.

3 - Driving digital transformation for end-to-end visibility

Comprehensive supply chain transformation goes further than process automation or leveraging analytics. Done right, it should facilitate end-to-end visibility, so supply chain managers can monitor ops in real-time. A fully digitized supply chain allows auto enterprises to make data-driven decisions, identify bottlenecks, and ensure a smooth production line – from sourcing raw materials right through to last-mile delivery.

4 - Process mining for continuous improvement and agility

Tiered, fragmented automotive supply chains have many blind spots – but process mining can reveal how supply chain processes and systems are actually working. Not just how they’re designed to work. With process mining, automotive enterprises can gain deep insights into how different teams interact with each other and with their tech stack. Armed with these insights, organizations can identify opportunities for operational gains and faster adaptation, achieved through strategic process improvements. As any good mechanic would tell you, you’ve got to know what’s wrong with a vehicle before you can fix it (or supercharge it).

Bridging the disconnect: how process intelligence facilitates efficiency and agility

Automotive companies, and the organizations that make up their supply chains, are grappling with outdated systems and siloed departments that don’t speak the same language. As Markus Lohrey, MAHLE’s Head of Group Logistics says, “supply chain transformation is easier said than done when global supply chain networks are becoming increasingly complex, processes run through isolated systems, and material availability, demand, and sales are subject to extreme fluctuations.”

This disconnect prevents a holistic, accurate overview of supply chain processes, leaving many enterprises to approach transformation in an ad-hoc way that only tackles single supply chain issues in isolation.


Enter the Celonis Process Intelligence Platform, designed to connect you to your processes, your teams to each other, and AI to your business. The platform extracts data from all your systems, transforms it, and enriches it with the unique context of how your business works, giving you a living digital twin of your business operations that is system-agnostic and without bias.This digital twin revolutionizes supply chain planning, empowering you to mine and analyze your processes, model their ideal state, and orchestrate all of the workflows, people, tools, and AI agents involved. In doing so it paves the way for a more responsive and competitive supplier network.

Ready to learn more about our Process Intelligence Platform, and what it means for the automotive industry? Get in touch and speak to an expert on our team.