Description

Introduction

Today’s dynamic supply chains demand more than historical data and static reports—businesses require real-time insights to respond instantly to market shifts, disruptions, and customer expectations. This course focuses on how Supply.AI empowers supply chain professionals to make agile, data-driven decisions as events unfold. You’ll explore real-time data ingestion, AI-powered analytics, and automated workflows that streamline critical decision-making for inventory, logistics, procurement, and risk management.

Prerequisites

• Basic understanding of supply chain operations

• Familiarity with business dashboards or analytics platforms

• No coding or advanced AI knowledge required

Table of Contents

1. The Need for Real-Time Decision Making in Supply Chains

    1.1 Traditional vs. Real-Time Supply Chains
    1.2 Benefits of Instantaneous Decisions
    1.3 Overview of Supply.AI’s Real-Time Capabilities

2. Architecture of Real-Time Supply.AI

    2.1 Real-Time Data Streams and Event Processing
    2.2 AI Models for Instant Insights
    2.3 Cloud-Based Scalability and Latency Optimization

3. Real-Time Data Sources and Integration

    3.1 IoT Sensors and Telematics Data
    3.2 Supplier, Inventory, and Market Feeds
    3.3 Integrating ERP, WMS, TMS, and EDI Systems

4. Real-Time Inventory Visibility and Replenishment

    4.1 Monitoring Stock Levels Instantly
    4.2 Dynamic Replenishment Triggers
    4.3 Managing Multi-Location Inventory

5. Real-Time Logistics and Transportation Management

    5.1 Tracking Shipments and Routes Live
    5.2 Predicting ETAs and Rerouting Deliveries
    5.3 Handling Disruptions and Delays Proactively

6. Supplier Collaboration and Risk Mitigation

    6.1 Monitoring Supplier Performance in Real Time
    6.2 Managing Capacity and Lead Time Changes
    6.3 Dynamic Supplier Risk Scoring

7. Real-Time Demand Sensing and Forecast Adjustment

    7.1 Detecting Shifts in Customer Demand
    7.2 Adapting Forecasts on the Fly
    7.3 Synchronizing Sales and Operations

8. Automated Alerts and Decision Workflows

    8.1 Configuring AI-Powered Notifications
    8.2 Setting Decision Thresholds and Rules
    8.3 Integrating with Chatbots and RPA

9. Building a Real-Time Supply Chain Control Tower

    9.1 Interactive Dashboards and KPIs
    9.2 Real-Time Monitoring of End-to-End Operations
    9.3 AI-Based Prescriptive Recommendations

10. Use Cases Across Industries

    10.1 Retail: Instant Stock Allocation
    10.2 Manufacturing: Live Production Scheduling
    10.3 Logistics: Dynamic Freight Management

11. Measuring Success and Continuous Improvement

    11.1 Key Metrics for Real-Time Operations
    11.2 Continuous Feedback Loops
    11.3 Scaling and Evolving Your Real-Time Strategy

Real-time decision making with Supply.AI transforms supply chain management into a proactive, responsive powerhouse. You now have the skills to harness instant insights, automate workflows, and navigate disruptions with confidence. These real-time capabilities will give your business the agility to outperform competitors and meet evolving customer demands.