Dynamic Inventory Modelling through AI

Balancing Supply and Demand for Optimal Raw Material Inventory Levels

Client Overview

 Fortune 3 petrochemical company facing challenges in maintaining optimal inventory levels across multiple production facilities.

Business Challenge

Inefficient inventory management led to high carrying costs, occasional stockouts, and underutilized working capital.

Solution Impact
  • 8-10% reduction in inventory carrying costs

  • Optimized working capital utilization

  • Improved supply chain responsiveness to demand fluctuations

  • Automated computation of safety stock levels and reorder points

  • Analysis of inventory hold days and inventory turnover ratio (ITR)

  • Implementation of advanced inventory classification techniques

  • Enhanced inventory planning and stock utilization strategies

Procurement Excellence for a Global Petro-Chemicals Manufacturer
Our Approach

Developed an AI-powered inventory modeling and optimization system that dynamically manages inventory levels, aligning supply with demand fluctuations.

Optimized working capital utilization
Enhanced inventory planning and stock utilization strategies
8-10% savings in inventory carrying costs
Improved supply chain responsiveness to demand fluctuations
Automated computation of safety stock levels and reorder points
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