Preparing for Agentic Commerce: REWE’s AI Transformation

Preparing for Agentic Commerce: REWE’s AI Transformation

McKinsey – M&A
McKinsey – M&AJun 4, 2026

Why It Matters

REWE’s AI push illustrates how legacy retailers must embed governance, technology, and talent development to stay competitive as generative and agentic AI reshape commerce and supply chains.

Key Takeaways

  • REWE treats all analytics as AI to simplify organization
  • Governance, tech stack, and decentralized change management are core pillars
  • Generative AI boosts internal efficiency and customer personalization
  • 200 senior leaders completed mandatory hands‑on AI creativity workshops
  • Agentic AI expected to reshape e‑commerce and tourism channels

Pulse Analysis

European retailers are confronting a paradigm shift as generative and agentic AI move from experimental labs to core business functions. REWE, a cooperative that spans supermarkets, travel agencies, and hotel brands, is leveraging its existing data‑driven culture to rebrand every statistical method as "AI," removing technical barriers for adoption. By unifying analytics, content creation, and emerging conversational agents under a single AI umbrella, REWE aims to sharpen its competitive edge in a market where personalization and rapid supply‑chain decisions are becoming decisive profit drivers.

The rollout strategy rests on three intertwined pillars: robust governance, a stable technology stack, and decentralized change management. Centralized policies define data security, compliance, and ownership, while a single, enterprise‑wide AI platform is being standardized for 380,000 employees. Rather than a top‑down mandate, REWE empowers individual business units—marketing, logistics, store operations—to champion the shift, supported by a core data‑science team. To close the talent gap, the firm has mandated hands‑on AI creativity workshops for its top 200 senior leaders, fostering AI literacy without turning executives into engineers. This blend of policy, tools, and leadership development creates a scalable model for large, diversified retailers.

Risk mitigation remains a priority. REWE limits customer‑facing AI to low‑risk use cases such as product descriptions, retaining human oversight for critical data like allergens. Internally, the company warns against over‑reliance on tools like Microsoft Copilot, emphasizing the need for domain expertise to catch hallucinations or bias. Looking ahead, REWE sees agentic AI—autonomous agents that can initiate transactions—as a potential disruptor for its tourism arm, where journeys may soon begin in conversational platforms. Companies that master this triad of personalization, efficiency, and agentic commerce are poised to dominate the next three to five years of retail competition.

Preparing for agentic commerce: REWE’s AI transformation

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