What challenges did Nestlé face before AI implementation?

Aging regional IT infrastructure limited scalability and reliability. Fragmented supply chain operations due to data silos across regions. Slow response to evolving market demands. Need for faster product innovation and real-time decision-making.

What was the impact of the AI solution?

Improved supply chain resilience and business continuity. Accelerated product launches and time to market. Reduced costs through consolidation and automation. Enhanced customer experience with data-driven insights.

Source

MicrosoftExpandedProductionEvidence: Medium65/100

Nestlé streamlines global supply chain and accelerates innovation through cloud-first SAP migration

Use case typeSupply chain optimizationUpdated Jun 13, 2026

Nestlé, one of the world's most recognized consumer goods companies, undertook a major digital transformation by migrating more than 1,200 terabytes of data from six on-premises datacenters to a unified SAP environment on Microsoft Azure. The move aimed to modernize aging IT infrastructure, improve supply chain resilience, break down regional silos, and enable real-time connected operations across 185 markets. With Azure's hyperscale platform, Nestlé leveraged AI-driven predictive analytics to enable faster product launches and improve customer experiences. The company can now respond more agilely to market demands, lower operational costs, and amplify consumer-focused solutions using robust data and cloud-powered insights.

Organization: Nestlé
Industry: Consumer & Food
Location: Switzerland
Published: January 2024

Reported outcomes

Strategic outcomes

Scale & capacityUnified global supply chain on cloud platformNew product / capabilityEnabled AI-driven predictive analyticsSpeed & agilityAccelerated product launches and time to marketCustomer experience & trustEnhanced customer experience with data insights

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Nestlé
Provider: Microsoft
Maturity: Production
Linked source: microsoft.com

The company can now respond more agilely to market demands, lower operational costs, and amplify consumer-focused solutions using robust data and cloud-powered insights

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Cloud-Based Unified Supply Chain Management
2AI-Driven Predictive Analytics for Consumer Goods
3Global SAP Modernization via Azure

Aging regional IT infrastructure limited scalability and reliability.
Fragmented supply chain operations due to data silos across regions.
Slow response to evolving market demands.
Need for faster product innovation and real-time decision-making.

Migrated over 1,200TB of data from on-premises to Microsoft Azure using RISE with SAP.
Unified global supply chain onto a single cloud-first SAP environment on Azure.
Implemented AI-driven predictive analytics for real-time connected operations.
Leveraged Azure's scale to improve system resiliency and agility.

Technologies

Azure Azure AI SAP on Azure

Improved supply chain resilience and business continuity.
Accelerated product launches and time to market.
Reduced costs through consolidation and automation.
Enhanced customer experience with data-driven insights.

Architecture

Nestlé consolidated six distributed on-premises datacenters, migrating 1,200+TB of data to a cloud-based SAP environment hosted on Microsoft Azure. The architecture leverages Azure's hyperscale infrastructure for global connectivity and employs AI-driven analytics for supply chain and operational data, enabling real-time decisions and unified operations across all regions.

Sources & evidence1

Evidence: Medium65/100Evidence strength