What challenges did Coca-Cola face before AI implementation?

The company needed to improve manufacturing efficiency and resource optimization across global operations. They faced challenges in enhancing product quality and personalization in marketing. There was a need to maintain sustainability and operational excellence while boosting employee productivity.

What was the impact of the AI solution?

Achieved 20% energy savings and 9% water savings in manufacturing processes. Saved 34 days of processing time annually through digital twin optimization. Improved employee decision-making speed and customer engagement. Enhanced product quality consistency and advanced sustainability efforts globally.

Source

Microsoft

Coca-Cola AI-Powered Manufacturing and Enterprise Automation

Use case typeSupply chain optimizationUpdated Jun 13, 2026

Coca-Cola utilizes Microsoft Azure OpenAI Service, Microsoft 365 Copilot, Microsoft Power Platform, and Azure Cloud to enhance multiple business functions including manufacturing efficiency, supply chain optimization, marketing personalization, and enterprise productivity. They implemented AI-powered digital twins to optimize manufacturing sanitation processes, reducing energy and water usage, saving processing time, and enabling proactive maintenance. Enterprise productivity improved through Copilot-enabled digital assistants that help employees summarize information, generate content, and retrieve business insights. AI tools also enhanced marketing personalization and customer engagement, leading to better product quality and sustainability across global operations.

Organization: Coca-Cola
Industry: Manufacturing
Location: United States
Published: December 2025

Reported outcomes

−20%

costCost savings

−9%cost34 daystime

Strategic outcomes

Scale & capacityOptimized manufacturing sanitation processesEmployee experienceImproved enterprise knowledge work productivityCustomer experience & trustEnhanced marketing personalization and engagementSustainability & ESGAdvanced sustainability across global operations

Catalog median for cost savings deployments: −45% across 345 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 4

1Manufacturing Optimization
2Enterprise AI Adoption
3Supply Chain Optimization

The company needed to improve manufacturing efficiency and resource optimization across global operations.
They faced challenges in enhancing product quality and personalization in marketing.
There was a need to maintain sustainability and operational excellence while boosting employee productivity.

They expanded their partnership with Microsoft to pilot Azure OpenAI Service and Microsoft 365 Copilot.
Deployed AI-powered digital twins in manufacturing to optimize sanitation and reduce resource usage.
Integrated Copilot-enabled digital assistants for knowledge work across departments.
Leveraged AI for marketing personalization, supply chain management, and customer engagement using Microsoft technologies.

Technologies

Azure OpenAI Service Microsoft 365 Copilot Microsoft Power Platform Azure Cloud

Achieved 20% energy savings and 9% water savings in manufacturing processes.
Saved 34 days of processing time annually through digital twin optimization.
Improved employee decision-making speed and customer engagement.
Enhanced product quality consistency and advanced sustainability efforts globally.

Sources & evidence1

Groundedness: 4/5

Primary source

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Customer evidence