Digital & Technology

AI-Driven Supply Chain Optimization

This course teaches how to apply AI to optimize supply chain operations, improving forecasting, inventory, and logistics efficiency.

English
~ 1 day
HRD Corp Claimable

Course Overview

Gain a clear understanding of how AI can be applied to optimise supply chain operations across the rubber industry. Learn to use data-driven approaches to forecast demand, manage inventory, predict supplier risk and enhance logistics efficiency by supporting better planning, cost control and resilience across the value chain.







 

Learning Outcomes

  • Forecast demand, raw material needs and delivery schedules using AI.
  • Predict vendor risks, port delays and freight costs.
  • Optimise inventory and supplier management through predictive analytics/
  • Build AI-powered dashboards and alerts using Excel & Power BI for supply chain monitoring.






     

Course Outline

Rubber Supply Chain & AI Opportunities

Map key supply chain challenges and identify where AI brings value.

Forecasting & Inventory Optimization

Applications in demand forecasting, supplier risk scoring and freight prediction.

Predictive Modelling in Practice

Use Excel and AutoML tools to create forecasting models with real data.

Dashboard & Risk Radar Building

Build real-time AI dashboards for supply chain and ESG alignment.

Frequently Asked Questions (FAQ)

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