Description

Introduction

Supply chains today are increasingly vulnerable to disruptions from supplier risks, geopolitical tensions, demand fluctuations, and logistical uncertainties. This course explores how Supply.AI empowers supply chain professionals to identify, assess, and mitigate risks through advanced AI-driven analytics and predictive modeling. You’ll learn to leverage Supply.AI for proactive risk detection, scenario planning, and resilient supply chain strategies that ensure continuity and agility even under uncertainty.

Prerequisites

• Fundamental understanding of supply chain management concepts

• Familiarity with supplier management and logistics processes

• No prior AI or machine learning experience is required

Table of Contents

1. Introduction to Risk-Aware Supply Chains

    1.1 The Growing Need for Risk-Resilient Supply Chains
    1.2 Overview of Supply.AI Capabilities in Risk Management

2. Supply Chain Risk Fundamentals

    2.1 Types of Supply Chain Risks (Operational, Financial, Geopolitical)
    2.2 Traditional vs. AI-Powered Risk Management Approaches

3. Integrating Data for Risk Visibility

    3.1 Key Data Sources for Risk Monitoring (ERP, CRM, External Feeds)
    3.2 Data Quality, Cleansing, and Integration with Supply.AI

4. Predictive Risk Detection and Alerts

    4.1 Machine Learning Models for Supplier Risk Scoring
    4.2 Real-Time Risk Monitoring and Early Warning Systems
    4.3 Case Studies of Predictive Risk Detection

5. Scenario Planning and Impact Simulation

    5.1 Building “What-If” Supply Chain Scenarios
    5.2 Assessing Disruption Impact and Recovery Time
    5.3 Using AI Models for Contingency Planning

6. Supplier Risk Management and Diversification

    6.1 Identifying High-Risk Suppliers and Single Points of Failure
    6.2 Designing Supplier Diversification Strategies with AI Insights
    6.3 Monitoring Supplier Financial Health and Compliance

7. Logistics and Transportation Risk Mitigation

    7.1 Predicting Shipping Delays and Route Disruptions
    7.2 Optimizing Transportation and Inventory Buffers with AI
    7.3 Real-Time Logistics Monitoring and Dynamic Re-Routing

8. Financial Risk and Cost Volatility Management

    8.1 Forecasting Cost Fluctuations (Commodities, Currencies)
    8.2 Mitigating Procurement and Payment Risks with AI
    8.3 Supplier Contract Optimization under Uncertainty

9. Building Resilient Supply Chain Strategies

    9.1 Designing Multi-Sourcing and Nearshoring Strategies
    9.2 Aligning Inventory and Demand Planning with Risk Insights
    9.3 Embedding Risk Metrics in S&OP (Sales and Operations Planning)

10. Measuring and Improving Supply Chain Resilience

    10.1 Defining Resilience KPIs and Metrics
    10.2 Continuous Monitoring and Adaptive Planning
    10.3 Leveraging AI for Continuous Supply Chain Risk Learning

With Supply.AI, organizations can shift from reactive to proactive risk management, safeguarding their supply chains against disruption and volatility. You’re now prepared to implement AI-powered risk-aware planning strategies that enhance resilience, agility, and continuity.