Evolving supply chains: How AI creates space for better human decisions

We are witnessing the convergence of two powerful trends that are reshaping the future of supply chain.

First, supply chains have become a key source of competitive advantage. Geopolitical uncertainty, rising costs and higher customer expectations are forcing companies to rethink operations while supplier disruptions increasingly hit the top line.

Second, technology is undergoing fundamental transformation and disruption by AI. A new generation of AI-native platforms is emerging that can coordinate decisions across systems and increase speed and resilience. 

For companies that seize these converging trends, the opportunities are enormous.

The speed of digital transformation

To meet growing requirements and remain competitive, organizations need to transform their supply chains into resilient, responsive networks more rapidly and consistently, using the opportunities of digital transformation and AI.

Despite years of investment in digital transformation, however, its implementation remains slower than many would like. 

Germany provides an interesting example. According to the 2025 BVL study Trends and Strategies in Logistics and Supply Chain Management, the proportion of companies with a high or very high level of digital transformation increased by only three percentage points between 2023 and 2025.

At the same time, organizations clearly recognize the importance of AI. A more recent study shows that 93% of companies are already using or testing AI, and 64% have identified successful use cases. 

The challenge is not recognizing the opportunity. It is scaling it.

AI adoption and the human dimension

When AI projects stall, technology is rarely the only reason.

Many initiatives remain trapped in the pilot phase. Legacy systems can be difficult to connect to modern AI solutions. Data quality and availability continue to be major concerns. In addition, many organizations struggle to clearly quantify the return on investment of AI initiatives.

The human dimension should not be underestimated either.

Decisionmakers worry about losing control when more responsibility is delegated to AI. However despite the headlines, regulations such as the EU AI Act make it clear that transparency, accountability and human oversight will remain essential. 

While full autonomy is a vision that guides our thinking and direction, it is unlikely to become a reality anytime soon.

The goal is not autonomy – it’s better decisions

Too often, the AI conversation focuses on technology for its own sake. 

In our field, I think the real question centers on whether supply chains can improve in their ability to make better decisions.

The real value of digital transformation and AI lies not in the technology itself, but in the ability to make better-informed decisions and executing them seamlessly across the organization.

Thinking end-to-end

The greatest value from technology is unlocked when it is applied across end-to-end processes rather than isolated functions.

While traditional supply chain solutions help improve efficiency within functional processes, AI can improve the quality of decision-making, and this is where the real potential lies. 

Organizations that combine quick wins through automation with a longer-term AI transformation strategy are likely to see the strongest results. We should note, however, that AI cannot compensate for poor foundations. Reliable data, standardized processes and integrated digital solutions remain prerequisites for success.

The role of orchestrator

But perhaps the most important shift is not technological at all. It is human.

Today, supply chain professionals spend considerable time collecting data, reconciling systems and performing routine checks. Tomorrow, their role will be that of orchestrator. They will manage exceptions, balance competing priorities, understand complex dependencies and coordinate decisions across networks of partners.

For supply chain leaders, this creates clear responsibility. We must not only equip organizations with better technology but also strengthen stakeholder decision-making capabilities and the understanding of end-to-end processes.

The future of supply chain is not about achieving full autonomy or automating full responsibility. It’s about creating space for better human decisions and effectively turning those decisions into action.