How ABB Ltd. Increased Production Efficiency and Reduced Energy Costs with AI-Enhanced Robotics

By: GoBeyond Team
July 27, 2025
3 min read
AI case study for ABB Ltd. – improved efficiency and 15% energy cost reduction

Quick Overview

ABB integrated AI-enhanced robotics for self-optimizing production, predictive maintenance, and AI-driven quality control. AI dynamically adapts operations based on real-time data and manages energy use to reduce costs and emissions.

ABB Ltd.
ABB Ltd.
Company Size
~105,000 employees
Revenue Range
$30B+ annual revenue
Primary Challenge
Improving production efficiency, reducing downtime, and lowering energy costs
Key Metrics

- Increased production efficiency
- Reduced downtime
- 15% reduction in energy costs
- Improved product quality

The Problem

Manual and static production processes limited efficiency and increased energy consumption.

The Solution

Deployed AI-enhanced robotics and machine learning models to adapt production in real time, predict maintenance needs, and optimize energy use.

Results

- Higher production throughput and quality
- Reduced equipment downtime
- Significant energy cost savings
- Enhanced sustainability

“AI-driven robotics have transformed our manufacturing operations, boosting efficiency and sustainability.”

Details

Industry
Manufacturing
Departments
Operations & Workflow Automation
Use Cases
Inventory Management
Predictive Modeling
Workflow Automation
Tags
Cost Reduction
AI Tools Used
No items found.
Sources
https://digitaldefynd.com/IQ/ai-use-in-manufacturing-case-studies/

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