What challenges did Maersk face before AI implementation?

Resilience concerns and vulnerability in global supply chains. Time-consuming and error-prone procurement and negotiation processes. Inaccurate forecasting led to waste and inefficiency in inventory and logistics. Managing risk across thousands of global suppliers and rapid vetting required.

What was the impact of the AI solution?

Achieved up to 95% forecast accuracy. Reduced inventory waste by 30%. Enhanced on-time deliveries and operational efficiency. Streamlined supplier negotiations with AI-powered chat for faster deal closures.

Source

Microsoft

Maersk and Lenovo enhance supply chains with AI for forecasting and risk management

Use case typeSupply chain forecastingUpdated Jun 13, 2026

Multiple leading companies such as Maersk and Lenovo have adopted Microsoft AI technologies to automate and optimize supply chain processes. Integrating Dynamics 365 Supply Chain Management with Copilot, Azure AI services, chatbots, and IoT enables precise forecasting, real-time routing, automated supplier communications, and risk analysis. These solutions addressed challenges including procurement automation, inventory optimization, and proactive supplier negotiations. Maersk uses AI-powered chat interfaces for supplier negotiations, while Lenovo deploys AI to assess risk and predict delivery delays. These implementations drove substantial efficiency gains, reduced costs, and significantly improved forecast accuracy across logistics networks.

Organization: Maersk
Industry: Logistics
Location: Global
Published: June 2025

Reported outcomes

95%

accuracyQuality & accuracy

−30%quantified impact

Strategic outcomes

Better decisions & insightImproved forecast accuracyCost efficiencyReduced inventory wasteSpeed & agilityStreamlined supplier negotiationsRisk & complianceImproved supplier risk assessment

Primary read

Use case focus

Showing 3 of 3

1Predictive Demand Forecasting in Logistics
2AI-Driven Supplier Negotiation Automation
3Real-Time Route and Inventory Optimization

Resilience concerns and vulnerability in global supply chains.
Time-consuming and error-prone procurement and negotiation processes.
Inaccurate forecasting led to waste and inefficiency in inventory and logistics.
Managing risk across thousands of global suppliers and rapid vetting required.

Deployed Dynamics 365 Supply Chain Management with Copilot and Azure AI services for predictive analytics and automation.
Automated procurement and supplier communications with AI-powered chatbots.
Integrated IoT for real-time logistics and inventory visibility.
Advanced risk assessment via AI to predict supplier reliability and delivery dates.

Technologies

Dynamics 365 Supply Chain Management Copilot Azure AI Services IoT

Achieved up to 95% forecast accuracy.
Reduced inventory waste by 30%.
Enhanced on-time deliveries and operational efficiency.
Streamlined supplier negotiations with AI-powered chat for faster deal closures.

Architecture

Dynamics 365 Supply Chain Management with Copilot powers AI-driven forecasting, automated procurement, and supplier negotiations. Azure AI services and chatbots provide a conversational layer for automation, while IoT devices ensure real-time inventory and logistics visibility. Data flows into the core SCM system, enabling end-to-end optimization.

Sources & evidence1

Groundedness: 2/5

Primary source

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

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Customer evidence