Description

Introduction

Modern supply chains are increasingly complex, global, and vulnerable to disruptions. Reactive strategies are no longer enough—predictive insights are essential to anticipate demand shifts, supplier delays, and inventory bottlenecks. This course introduces how Supply.AI empowers supply chain leaders to use artificial intelligence and predictive analytics for proactive decision-making. You’ll learn how to improve demand planning, risk management, logistics optimization, and end-to-end visibility using Supply.AI’s intelligent platform.

Prerequisites

• Basic understanding of supply chain management processes

• Familiarity with business analytics or ERP systems

• No prior AI or programming experience required (conceptual focus)

Table of Contents

1. Introduction to Predictive Supply Chain Management

    1.1 Evolving Supply Chain Challenges
    1.2 Benefits of Predictive Supply Chains
    1.3 Overview of Supply.AI Platform

2. Foundations of Predictive Analytics and AI

    2.1 Key Concepts in Predictive Modeling
    2.2 Machine Learning for Supply Chain Insights
    2.3 Big Data and Real-Time Analytics

3. Data Sources and Integration

    3.1 Internal Enterprise Data (ERP, WMS, TMS)
    3.2 External Data (Market Trends, Weather, Supplier Data)
    3.3 Data Cleaning and Harmonization

4. Predictive Demand Planning

    4.1 Forecasting Customer Demand Patterns
    4.2 AI for Promotion and Seasonality Planning
    4.3 Aligning Demand and Supply Plans

5. Supplier Risk and Disruption Prediction

    5.1 Predictive Supplier Performance Monitoring
    5.2 Early Warning Systems for Supply Chain Disruptions
    5.3 Supplier Risk Scoring with AI

6. Inventory and Replenishment Optimization

    6.1 Predicting Inventory Shortages and Excesses
    6.2 Automated Replenishment Triggers
    6.3 Scenario Analysis for Stock Levels

7. Logistics and Transportation Forecasting

    7.1 Predictive ETA and Delivery Optimization
    7.2 Route Optimization with AI
    7.3 Freight Cost Forecasting

8. Building a Predictive Supply Chain Control Tower

    8.1 End-to-End Visibility Dashboards
    8.2 Real-Time Monitoring and Alerts
    8.3 Decision Support with Predictive Insights

9. Integration with ERP, WMS, and SCM Systems

    9.1 Connecting Supply.AI to SAP, Oracle, Netsuite
    9.2 API Integration for Data Flow Automation
    9.3 Synchronizing Planning and Execution

10. Measuring Impact and ROI

    10.1 Key Performance Indicators (KPIs)
    10.2 Cost Savings and Service Level Improvements
    10.3 Continuous Improvement with AI Feedback

11. Use Cases and Industry Applications

    11.1 Retail and E-Commerce
    11.2 Manufacturing and Automotive
    11.3 Healthcare and Pharmaceuticals

12. Ethical AI and Responsible Supply Chain Management

    12.1 Data Privacy and Security
    12.2 Fairness and Bias Mitigation
    12.3 Transparent Decision Making

With Supply.AI, predictive supply chain management shifts from reactive firefighting to proactive orchestration. You now have the tools and understanding to harness AI-driven insights that anticipate disruptions, optimize operations, and enhance customer satisfaction. These capabilities empower you to build resilient and competitive supply chains for the future.