What challenges did DHL face before AI implementation?

Complex, global supply chains exposed to disruptions and demand volatility. Inefficient warehouse and logistics operations leading to higher costs and slow responsiveness. Fragmented production data hindered quality monitoring and compliance. Unplanned downtime and lengthy asset maintenance cycles affected productivity and revenues. Manual compliance processes led to data silos and reduced visibility across manufacturing plants.

What was the impact of the AI solution?

Increased uptime and productivity through real-time analytics and equipment effectiveness tracking. Enhanced sustainability and agility across manufacturing and logistics operations.

Source

MicrosoftExpandedProductionEvidence: Medium55/100

Leading Manufacturers Enhance Resilience and Efficiency in Operations

Use case typeSupply chain optimizationUpdated Jun 13, 2026

DHL, Stanley Black & Decker, and Tetra Pak leveraged Microsoft Azure solutions to modernize manufacturing and supply chain operations. Using Azure, these companies focused on operational efficiency, resilience, and sustainability. DHL implemented AI-driven logistics, digitalized warehouses, and developed a digital supply chain for rapid, flexible, and responsive logistics. Stanley Black & Decker deployed Azure IoT Hub and Azure IoT Edge across more than 130 factories to track, analyze, and optimize production metrics, integrating Power BI dashboards for real-time insights. Tetra Pak adopted Azure IoT Edge and pioneered the Nested Edge feature, securing ISA-95 compliance for smart factory production data management and enhancing real-time monitoring. Each organization’s cloud journey involved significant innovation, scaling, and automation, improving manufacturing uptime, quality, and compliance. Overall, the collaboration enabled enhanced decision-making, asset utilization, sustainability, and competitive agility. DHL transformed its supply chain and warehousing through automation and AI, scaling the technology globally. Stanley Black & Decker standardized equipment effectiveness tracking and real-time process adjustments for factory optimization. Tetra Pak’s Nested Edge innovation addressed compliance and security, centralizing control and analytics for its smart factories.

Organization: DHL
Industry: Manufacturing
Location: Global
Published: July 2021

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

Customer: DHL, Stanley Black & Decker, Tetra Pak
Provider: Microsoft
Maturity: Production
Linked source: news.microsoft.com

Using Azure, these companies focused on operational efficiency, resilience, and sustainability

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 4

1AI-driven Supply Chain Optimization
2Automated Warehouse Management and Analytics
3Smart Factory Compliance Management with IoT

Complex, global supply chains exposed to disruptions and demand volatility.
Inefficient warehouse and logistics operations leading to higher costs and slow responsiveness.
Fragmented production data hindered quality monitoring and compliance.
Unplanned downtime and lengthy asset maintenance cycles affected productivity and revenues.
Manual compliance processes led to data silos and reduced visibility across manufacturing plants.

DHL implemented Microsoft Azure-powered AI, IoT, and digital logistics models, with end-to-end real-time visibility and digitalized warehouse management.
Stanley Black & Decker rolled out Azure IoT Hub and Azure IoT Edge to enable standardized data flows from factory equipment, using Power BI for performance visualization and quick decision-making.
Tetra Pak partnered with Microsoft to co-develop the Nested Edge feature in Azure IoT Edge, ensuring ISA-95 compliance for smart factory operations and centralized data control.

Technologies

Microsoft Azure Azure IoT Hub Azure IoT Edge Power BI AI Mixed Reality

Increased uptime and productivity through real-time analytics and equipment effectiveness tracking.
Enhanced sustainability and agility across manufacturing and logistics operations.

Architecture

DHL uses Azure to ingest, analyze, and act on supply chain data for real-time logistics. Stanley Black & Decker connects factory machinery via Azure IoT Edge to Azure IoT Hub, streaming sensor data to cloud applications and Power BI for real-time OEE dashboards. Tetra Pak employs a Nested Edge hierarchy in Azure IoT Edge for smart factory compliance, routing production data securely from factory devices to the Azure cloud and enabling centralized monitoring and Power BI analytics.

Sources & evidence1

Evidence: Medium55/100Evidence strength