AI case study

Emirates Global AluminiumManufacturing operations

Logistics were volatile and safety checks manual. AI simulations now route ships, and computer vision alerts operators instantly.

Published|9 months ago

Key results

Total Business Impact
$123M+
Faster Reaction
92%
Delay Reduction
50%

Result highlights

Unlock 5 result highlights

The story

Context

A global industrial leader produces 4% of the world’s aluminium, operating energy-intensive smelters that span multiple kilometers and serve customers in 50 countries.

Challenge

Logistics were notoriously volatile, and manual safety monitoring across massive facilities resulted in slow operator reaction times. The company...

Solution
Unlock full story

Scope & timeline

  • 1,500 shop floor users on AI platform

Quotes

Unlock 1 more quote

The company

Emirates Global Aluminium logo

Emirates Global Aluminium

ega.ae

Primary aluminium producer and developer of proprietary smelting technology.

IndustryIndustrial & Manufacturing
LocationAbu Dhabi, United Arab Emirates
Employees5K-10K
Founded2014

The implementation partner

McKinsey & Company logo

McKinsey & Company

mckinsey.com
IndustryProfessional Services
LocationNew York, NY, USA
Employees10K-50K
Founded1926

Similar Case Studies

Related implementations across industries and use cases

110 AI case studies in Industrial & Manufacturing

213 AI case studies in Operations