How Epiroc Reduced Product Returns by 30% and Accelerated Manufacturing Innovation with AI

By: GoBeyond Team
August 10, 2026
3 min read
AI case study for Epiroc – 30% fewer product returns with Azure ML

Quick Overview

Epiroc used Microsoft Azure Machine Learning and AI governance software to automate and optimize steel manufacturing processes, ensuring consistent quality and reducing customer rejections and product returns.

Epiroc
Epiroc
Company Size
~14,000 employees (estimated)
Revenue Range
$4B-$5B annual revenue (estimated)
Primary Challenge
Fragmented data and inconsistent manufacturing processes causing quality issues and product returns
Key Metrics

- 30% reduction in product returns and customer rejections
- Created an “AI Factory” in 60 hours
- Developed ML models for heat treatment process in 6 weeks
- 11 analytical teams using AI models globally

The Problem

Manufacturing facilities worldwide had siloed data and lacked a unified system to share best practices and optimize complex steel heat treatment processes, impacting product quality and efficiency.

The Solution

Implemented Azure Machine Learning, Azure Data Factory, Azure Databricks, and AI governance software from Sogeti to create a scalable “AI Factory” platform for data sharing, process automation, and predictive modeling.

Results

- Consistent steel quality with better control over density, hardness, and flexibility
- Reduced waste and improved operational efficiency
- Faster innovation cycles and model deployment
- Enhanced compliance with regulations

“Now, with Azure Machine Learning and predictive AI, we consistently produce material with better quality.”

Peter Malmberg, Vice President Digitalization, Epiroc

Details

Industry
Manufacturing
Departments
Product Development & Innovation
Use Cases
Project Planning
Project Reporting
Project Tracking
Tags
Predictive Modeling
Machine Learning
AI Tools Used
No items found.
Sources
https://www.microsoft.com/en/customers/story/1653030140221000726-epiroc-manufacturing-azure-machine-learninghttps://www.vktr.com/ai-disruption/5-ai-case-studies-in-manufacturing/

More Case Studies

See All
How JPMorgan Chase Leverages AI Across Banking Operations to Boost Sales, Manage Risks, and Enhance Client Experiences
Finance & Banking
How Cylance Prevents Zero-Day Attacks and Insider Threats Using AI
Technology & SaaS
How Shell Oil Reduced Equipment Downtime by 40% and Saved $2M Annually with AI
Manufacturing
How Holcim EMEA Digital Center Used GitHub Copilot to Accelerate Large-Scale Salesforce Code Refactoring and Improve Performance
Technology & SaaS
How Nike and AKQA Used AI and Machine Learning to Simulate a Virtual Tennis Match Between Serena Williams’ Past and Present Selves
Retail & E-commerce
How Vinci Construction Uses AI to Automate Document Administration and Improve Project Reporting
Construction

🤖 Chat with AI

Type...