What challenges did Amcor face before AI implementation?

Amcor was unable to extract sufficient operational value from vast data collected via legacy SCADA systems. Manufacturing lines exhibited inefficiencies due to underutilized data and delayed insights. Processes across facilities were not optimized, resulting in unnecessary production cycle times and limited predictive maintenance capacity. Staff needed more effective ways to identify process variances and reduce equipment downtime.

What was the impact of the AI solution?

Reduced production cycle time by 3%. Improved overall equipment effectiveness by 2%. Enhanced operational sustainability and efficiency across 23 facilities. Increased value realization from industrial data across company operations.

Source

Microsoft

Amcor Boosts Operations Efficiency with AI-Powered Assistant

Use case typePredictive maintenanceUpdated Jun 13, 2026

Amcor, a global leader in rigid plastics manufacturing, sought to derive more value from its data to improve operational processes across 23 production facilities. Their traditional SCADA system was not delivering sufficient actionable insights, leading to inefficiencies. By working with Microsoft and AVEVA, Amcor adopted the CONNECT platform and AVEVA’s Industrial AI Assistant, integrating Microsoft Cloud for Manufacturing and Azure OpenAI Service. This transformation enabled Amcor to store, process, analyze, and visualize industrial data on the CONNECT platform, enabling real-time decision support for operators and analysts. The Industrial AI Assistant, powered by Azure OpenAI Service, acted as a virtual expert accessible via text conversations to help operations teams rapidly resolve issues and optimize processes. Predictive maintenance and anomaly detection were enhanced, operational effectiveness improved, and actionable insights boosted both frontline and corporate decision-making. The implementation led to measurable impacts: a 3% reduction in production cycle time and a 2% increase in equipment effectiveness, contributing to greater sustainability and efficiency.

Organization: Amcor
Industry: Manufacturing
Location: United States
Published: February 2025

Reported outcomes

−3%

timeTime & speed

+2%quantified impact

Strategic outcomes

Speed & agilityImproved real-time operational decision-makingNew product / capabilityEnabled predictive maintenance and anomaly detectionCustomer experience & trustImproved frontline and corporate analytics accessSustainability & ESGEnhanced operational sustainability across facilities

Catalog median for time & speed deployments: −60% across 727 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

1Predictive Maintenance for Industrial Equipment
2AI-Powered Operational Process Optimization
3Real-Time Industrial Data Insights

Amcor was unable to extract sufficient operational value from vast data collected via legacy SCADA systems.
Manufacturing lines exhibited inefficiencies due to underutilized data and delayed insights.
Processes across facilities were not optimized, resulting in unnecessary production cycle times and limited predictive maintenance capacity.
Staff needed more effective ways to identify process variances and reduce equipment downtime.

Implemented CONNECT platform with Microsoft Cloud for Manufacturing for unified data handling.
Used AVEVA’s Industrial AI Assistant, powered by Azure OpenAI Service, for predictive maintenance and process anomaly detection.
Enabled real-time data visualization and accessible analytics for frontline and corporate teams.
Streamlined operational decision-making with AI-driven insights.

Technologies

Microsoft Cloud for Manufacturing Azure OpenAI Service AVEVA Industrial AI Assistant CONNECT platform

Reduced production cycle time by 3%.
Improved overall equipment effectiveness by 2%.
Enhanced operational sustainability and efficiency across 23 facilities.
Increased value realization from industrial data across company operations.

Architecture

Data from manufacturing lines is collected and stored in CONNECT, then processed and analyzed using Microsoft Cloud for Manufacturing. AI-powered insights and predictive maintenance tasks are performed with AVEVA’s Industrial AI Assistant, leveraging Azure OpenAI Service for natural language interactions and smart recommendations.

Implementation partners1

AVEVA

Sources & evidence1

Groundedness: Unavailable

Primary source

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