AI case study

Al Ghurair Iron & SteelProduction planning

Planners took 15 mins to manually schedule bespoke steel. Algorithms now map 90+ attributes to route production in under 5 mins.

Published|4 months ago

Key results

Processing Time Reduction
40%
Order Scheduling Time
< 5 mins
vs 10-15 minutes
Efficiency Increase
5x

Result highlights

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The story

Context

A bespoke steel producer in the Gulf Cooperation Council manufactures over 500,000 metric tons annually with no standard stock, relying entirely on raw materials imported from global mills.

Challenge

Production planning was manually executed in spreadsheets, with staff taking up to 15 minutes to schedule a single order due to complex parameters...

Solution
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Quotes

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The company

Al Ghurair Iron & Steel logo

Al Ghurair Iron & Steel

agis.ae

Manufacturer of cold-rolled and galvanized steel coils and sheets.

IndustryIndustrial & Manufacturing
LocationAbu Dhabi, UAE
Employees251-1K
Founded2005

The vendor

SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.

IndustrySoftware & Platforms
LocationWalldorf, Germany
Employees100K+
Founded1972

The implementation partner

Deloitte logo

Deloitte

deloitte.com
Role in this case study

Assisted with designing, implementing, and deploying SAP Cloud ERP Private and SAP BTP for AGIS.

IndustryProfessional Services
LocationNew York, NY, USA
Employees100K+
Founded1845

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