AI-Driven Demand & Price Prediction for Raw Materials Procurement

Optimizing Procurement Decisions for a Global Petro-Chemical Manufacturing Company

Client Overview

A Fortune 3 multinational chemical manufacturing company in Saudi Arabia, managing complex procurement operations for raw materials across multiple production facilities.

Business Challenge

Inaccurate demand forecasting, volatile raw material prices, and manual procurement processes resulted in inefficient planning, last-minute purchases, and increased costs.

Solution Impact
  • Accurate demand and price predictions using cutting-edge AI/ML models

  • Reduced urgent orders from 13% to 3%

  • Improved Bill of Materials (BOM) ratios and standardized Units of Measure (UOM)

  • Integration of internal and external data sources for enhanced forecasting

  • Seamless alignment with supply chain and production constraints

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

Genesis AI implemented an AI-powered solution comprising advanced machine learning models for precise demand sensing, price forecasting, and order optimization. The solution also included inventory modeling, proactive alerting, and user-friendly visualization tools.

USD 91.5 Million

Annual savings of USD 91.5 Million

8% reduction in procurement costs
8-10% savings in inventory carrying costs
15% improvement in forecast accuracy
Optimized resource allocation and inventory decisions

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