METRO AG, one of the world’s largest international food‑wholesale groups, has announced the successful conclusion of a multi‑year data‑center migration programme that was designed, built, and delivered in partnership with Wipro Limited. The effort moves METRO’s extensive IT estate—from legacy, on‑premises facilities that had underpinned the company’s operations for many years—to a modern, scalable, and resilient multi‑cloud environment. According to METRO’s Chief Information Officer Khaled Bagban, the migration “marks a key milestone in METRO’s transformation journey towards a scalable, cloud‑based and AI‑ready IT landscape.” The new digital backbone is not merely a technical refresh; it is positioned as a core pillar of METRO’s broader cloud‑first strategy and its long‑term ambition to become an “AI‑first” enterprise that can accelerate innovation, improve agility, and support AI‑driven services at scale. By exiting legacy infrastructure, METRO also aims to strengthen cybersecurity, enhance operational resilience, and lay the groundwork for future AI adoption across its global network of stores and distribution centres.
METRO AG Completes Data Center Migration
Wipro executed the migration through a phased, risk‑controlled programme that systematically lifted METRO’s workloads from on‑premises data centres into a multi‑cloud ecosystem anchored by Google Cloud. The approach combined careful workload assessment, incremental cut‑over, and continuous validation to ensure service continuity for METRO’s critical retail and wholesale applications. Bagban described the achievement as a “major milestone,” emphasizing that the newly built digital backbone will enable faster innovation cycles and provide the elasticity required for AI‑centric workloads. The migration also reinforces METRO’s commitment to a resilient, future‑ready IT landscape, with explicit goals of improving agility, enhancing digital capabilities, and bolstering overall cybersecurity posture.
In addition to the technical lift, the programme delivered tangible operational benefits. By consolidating disparate legacy environments into a unified multi‑cloud platform, METRO reduced the complexity of its infrastructure management and gained greater visibility into resource utilisation. This consolidation is expected to translate into lower total‑cost‑of‑ownership over time, as well as faster provisioning of new services that support the retailer’s evolving business models. The migration aligns with the strategic partnership first announced in December 2020 and subsequently extended in June 2025, underscoring a long‑term collaborative relationship between METRO and Wipro.
Wipro’s Role and AI‑Powered Platform
Central to the migration’s success was Wipro’s deployment of its Wipro Intelligence™ suite—a unified collection of AI‑powered platforms, solutions, and transformative offerings. Leveraging this suite, Wipro introduced intelligent automation across several of METRO’s key operational domains, most notably user‑lifecycle management. Automated service‑request handling now operates autonomously, delivering faster turnaround times, higher accuracy, and measurable gains in operational efficiency.
Beyond automation, Wipro applied advanced AI‑driven engineering tools to accelerate METRO’s software development life‑cycle. These tools helped shorten development cycles, improve code quality, and enable quicker issue resolution by identifying recurring patterns and systemic problems. The result is a more stable and reliable operating environment that supports rapid delivery of new digital capabilities. Omkar Nisal, CEO – Europe for Wipro, highlighted that the partnership “reflects Wipro’s ability to deliver large‑scale enterprise transformation with precision, resiliency and measurable impact,” and that Wipro Intelligence™ will continue to play a pivotal role as METRO moves deeper into AI‑powered transformation.
Google Cloud’s involvement, articulated by EMEA President Tara Brady, provided the foundational data architecture, scalability, and security framework required for real‑time innovation. Brady noted that METRO’s exit from legacy infrastructure “strategically positioned” the retailer to lead in the AI era, emphasizing the importance of a robust cloud foundation for delivering long‑term business value.
Implications for Enterprise Cloud and AI Adoption
The completion of METRO’s migration delivers a modern, multi‑cloud backbone that directly supports several strategic objectives. First, the new environment strengthens cybersecurity by consolidating security controls and leveraging Google Cloud’s native security services, thereby reducing the attack surface associated with fragmented legacy systems. Second, the multi‑cloud architecture enhances agility; METRO can now provision compute and storage resources on demand, respond more quickly to market changes, and experiment with AI models without the constraints of on‑premises capacity limits.
Intelligent automation, powered by Wipro Intelligence™, further amplifies these benefits. By automating routine tasks such as user‑lifecycle events and service‑request routing, METRO expects to see reduced manual effort, fewer errors, and faster resolution of internal tickets. The AI‑driven engineering tools also improve software quality, which in turn supports more reliable AI model deployment and monitoring. Collectively, these capabilities lay a solid foundation for METRO’s AI‑first agenda, enabling the retailer to explore use cases such as demand forecasting, dynamic pricing, and supply‑chain optimisation with greater confidence.
For other enterprise buyers, METRO’s experience illustrates how a carefully staged, risk‑controlled migration—combined with AI‑enabled automation—can modernise legacy environments while preserving service continuity. The collaborative model that brings together a major cloud provider (Google Cloud) and a systems integrator (Wipro) demonstrates a viable pathway for organisations seeking to build resilient, future‑ready IT infrastructures that can scale with AI workloads.
Key Takeaways
- METRO AG completed a multi‑year migration of its legacy data centers to a multi‑cloud ecosystem, a milestone in its cloud‑first and AI‑ready strategy.
- Wipro used its Wipro Intelligence™ suite to introduce autonomous service‑request handling and AI‑driven development tools, aiming to improve turnaround times, accuracy, and operational efficiency.
- Google Cloud provided the underlying data architecture and security framework, enabling METRO to eliminate legacy constraints and position itself for AI‑era initiatives.
TechInsyte's Take
The migration shows that large, multinational retailers can achieve a cloud‑first posture without disrupting ongoing operations, provided they adopt a phased approach and embed AI‑enabled automation early. While the announced capabilities are promising, enterprise leaders should monitor how METRO translates the new digital backbone into measurable AI outcomes and whether the partnership model scales across other regions and business units.
Source: Businesswire
