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 Autodesk Uses AI in AEC Projects to Optimize Scheduling, Resource Allocation, and Progress Monitoring
Construction
How SciPlay Optimized Retargeting Campaigns Using Pecan’s AI-Powered Predictive Analytics
Media & Entertainment
How L'Oréal Uses AI Chatbot (Mya Platform) to Streamline Recruitment and Enhance Candidate Experience
Retail & E-commerce
How National Gas Metering Used AI to Create Engaging Event Graphics Six Times Faster
Construction
How NielsenIQ Combines AI and Retail Data to Deliver Real-Time Shopper Behavior Insights and Boost Sales
Retail & E-commerce
How Klaar.me Uses Paperless AI Accounting and AP Automation to Save Time and Reduce Errors
Professional Services & Consulting

🤖 Chat with AI

Type...