Logistics & Supply Chain Leadership Report

Germany is Europe's logistics hub — home to the world's fourth-largest logistics market, driven by manufacturing export intensity and its central European geography. The Netherlands (Rotterdam, Amsterdam), Belgium (Antwerp), and Poland (the fastest-growing East European distribution hub) are the other key nodes. The McKinsey data on $165B in US-China trade reorientation is directly reshaping European logistics networks: nearshore manufacturing in Central and Eastern Europe is growing rapidly, creating demand for COO and VP of Operations profiles who can build new supplier networks from scratch while managing existing operations.

Warehouse robotics and autonomous operations are reshaping the warehouse executive brief at scale. Gartner's finding that 60% of disruptions will be resolved without human intervention by 2031 reflects an underlying trend already visible in European distribution centres: companies like Ocado, AutoStore, and Geek+ are deploying robotics across European DCs, and the executives who can manage human-AI collaborative environments — not just oversee automation programmes — are in persistent high demand.

BCG's finding that only 10% of logistics companies are fully embracing generative AI — despite 86% planning investments — is the clearest data point on why the VP of Logistics Technology and Head of Supply Chain Analytics have become among the most competed-for profiles in the sector. The gap is not strategic: it is operational. Translating AI investment into redesigned processes requires executives who understand both the technology and the operational workflows it is meant to transform. This profile — part operator, part technologist, part change manager — is the rarest combination in European logistics.

Gartner's three macro themes from the 2026 Supply Chain Top 25 — Autonomous Workforce, Network-Centric Supply Chain Design, and ecosystem-level collaboration — map directly onto the three dimensions of the modern CSCO brief: managing the human-AI transition, redesigning network architecture under geopolitical pressure, and building the external relationships (suppliers, logistics partners, regulatory bodies) that determine supply chain performance. The CSCO who can operate credibly across all three is genuinely scarce.

Chief Supply Chain Officer (resilience architecture, AI integration, ESG reporting), COO (operational transformation under tariff pressure), VP of Logistics Technology (AI/agentic tools deployment), Head of Supply Chain Analytics (demand sensing, AI-enabled forecasting), VP of Procurement & Sourcing (network redesign, nearshoring), Head of Sustainability — Supply Chain (CSRD Scope 3, EU taxonomy), and VP Last Mile / Urban Logistics are the most active search categories. The CSCO brief has expanded so substantially that most candidates who held comparable roles five years ago lack the AI integration and ESG fluency now required.

The most valued executive backgrounds combine major 3PL or manufacturing operations leadership (DHL, DB Schenker, Kuehne+Nagel, Maersk, Siemens, BMW Group) with demonstrated experience of leading digital transformation at operational scale — specifically, executives who have overseen ERP migrations (SAP S/4HANA, Oracle SCM), warehouse automation deployments, and agentic AI process redesign, not just technology adoption programmes.

KPMG's finding that 72% of CEOs have already adjusted their growth strategies to tackle supply chain challenges — and IMD's finding that implementation is regressing relative to the importance attributed to resilience — points to a specific assessment gap: boards can identify the problem but are struggling to evaluate whether a candidate can actually solve it. The ability to manage through polycrisis conditions (simultaneous tariff pressure, extreme weather events, geopolitical realignment, and AI-driven process redesign) requires a different kind of judgment than operational excellence in stable conditions.

Gartner's framing is the most useful lens for assessment: the best supply chain leaders are not just managing existing processes more efficiently — they are 'redesigning how work gets done between people and machines.' Evaluating this capability requires structured conversations about specific past decisions, not headline achievements. Our search process in logistics is built around this distinction.