Spare Parts (MRO) Inventory Optimization through AI

Intelligent Inventory Management for a Leading Petro-Chemical Manufacturer

Client Overview

A multinational chemical manufacturer in Saudi Arabia, managing a vast inventory of over 1.8 million Maintenance, Repair, and Operations (MRO) parts.

Business Challenge

Identifying duplicate spare parts was crucial to prevent inventory overload, capital wastage, and operational risks. Traditional approaches were inefficient for managing such a large inventory.

Solution Impact
  • Enhanced efficiency in duplicate detection and material categorization

  • Identified 193K duplicate pairs with low rejection rates of 10-20%

  • Cost savings of $10.53 million through inventory consolidation

  • 8% improvement in Stock Transfer Optimization (STO)

  • Minimized inventory write-offs

Intelligent Inventory Management for a Leading Petro-Chemical Manufacturer
Our Approach

Genesis AI implemented an innovative solution leveraging AI and machine learning algorithms for part identification and similarity scoring. A robust AI model accurately detected duplicates and enriched supplier data.

USD 10.5 Million

Quarterly savings of USD 10.5 Million

10-12% reduction in inventory carrying costs
Identified 193,000 duplicate material pairs
Enhanced maintenance and repair cost savings
8% improvement in Stock Transfer Optimization (STO)

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