MicrosoftProductionEvidence: Low40/100

Microsoft Intelligent Manufacturing Award 2026 Winners Showcase AI Use Cases in Germany and EMEA

The Microsoft Intelligent Manufacturing Award 2026 recognizes pioneering AI-driven digital industrial solutions transforming manufacturing operations across the EMEA region. Award winners include companies such as Krones, tesa, Luxottica, Tetra Pak, Kongsberg Digital, AUMOVIO, Erbe Elektromedizin, and others, employing Microsoft technologies to optimize and digitize their manufacturing processes. These AI solutions include AI-powered digital twins, modular AI platforms for energy management, digital product passports, unified smart factory platforms, and AI-powered clinical evidence mining. The projects demonstrate measurable impact such as faster decision making, improved resilience and sustainability, cost reduction, enhanced productivity, and automation across various manufacturing operations.

Organization
Krones
Location
Germany
Published
March 2026

Reported outcomes

Strategic outcomes

New product / capabilityBuilt unified smart factory platformRisk & complianceEnabled product traceability and complianceCost efficiencyAutomated energy management operationsNew product / capabilityCreated industrial work surface platform
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Krones, Intesa Sanpaolo, Luxottica, Tetra Pak, Kongsberg Digital, AUMOVIO, Erbe Elektromedizin, PAREXEL International, Siemens Energy, Pact Group, Kerry Group, Obeikan Digital Solutions, Vimar SpA, ZF
Provider
Microsoft
Maturity
Production
Linked source
Roland Berger

Manufacturers face the urgent need for digital transformation to enhance operational efficiency, resilience, sustainability, and productivity

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 4

  • 1AI Optimization
  • 2Digital Twins
  • 3Energy Management
  • Manufacturers face the urgent need for digital transformation to enhance operational efficiency, resilience, sustainability, and productivity.
  • Complex data fragmentation and outdated processes slow innovation and decision-making in production environments.
  • Meeting regulatory and climate targets demands sophisticated AI-driven tools for energy management, compliance, and product traceability.
  • Award-winning companies employed Microsoft Azure, AI platforms, Azure Digital Twins, and AI assistants integrated with workplace tools to digitally transform their manufacturing operations.
  • Krones utilized AI-powered digital twins for real-time process optimization, AI platforms automated energy management at tesa, and Luxottica implemented digital product passports for transparency and regulatory compliance.
  • Tetra Pak developed Factory OS, a smart factory technology suite unifying data and analytics across production lines.
  • Other solutions include Kongsberg Digital’s Industrial Work Surface, AUMOVIO’s Virtual Intelligence Orchestrator AI platform, and Erbe Elektromedizin’s EvidenceStream clinical evidence mining system.
  • The implementations have delivered significant gains in productivity, faster simulation cycles, operational resilience, emissions reduction, and cost savings.
  • Workforce efficiency and strategic decision-making have improved with AI-driven insights and collaboration platforms.
  • These AI applications showcase real-world value and scalability beyond pilot phases in manufacturing environments across multiple countries.
Architecture

The architecture includes AI-powered digital twins, modular AI platforms, integrated smart factory platforms, and AI assistant components leveraging Microsoft Azure and AI services.

Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Technical implementation details available
Published: Mar 23, 2026Publisher: Roland Berger

AI-generated summary. Verify important details with the linked sources before relying on this case.

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