This section introduces the application scenarios, business value, and typical cases of AI technology in various aspects of procurement management, including demand forecasting, supplier management, negotiation optimization, process automation, price prediction, risk control and other fields. It also delves into the practical procurement applications of machine learning, NLP, RPA, knowledge graphs and other subdivision technologies.

9 class hours

This section focuses on the innovative applications of cutting-edge technologies such as blockchain, Internet of Things, and AR/VR in the procurement field. It explores the transformation of procurement management models from the perspective of emerging technologies such as industrial internet platforms, blockchain trust mechanisms, IoT regulatory networks, AR/VR training, digital twins, RPA process automation, and intelligent quality inspection.

7 class hours

This section analyzes how technologies such as big data analytics and digital twins can deeply mine data value and drive procurement decision optimization. The content covers big data management in procurement, demand forecasting, category management, supplier selection and performance evaluation, risk control, negotiation optimization and other data analysis applications, as well as the practice of digital twinning in procurement business processes and supplier production operations.

7 class hours

Procurement Meets AI: Application Scenarios and Value Analysis.

AI + Procurement, Exponential Business Value?

Digital Intelligent Procurement Pioneers.

Machine Learning: Insight into Demand, Optimized Planning.

Knowledge Graph Enables Intelligent Supplier Management.

NLP: A Good Helper for Procurement Negotiation.

The Robots are Coming, A New Era of Process Automation.

Big Data Driven Price Forecasting and Dynamic Pricing.

Data-driven Procurement Risk Control Tool.

9 class hours

Industrial Internet Platform Reshapes New Model of Collaborative Procurement Between Enterprises.

Blockchain Reshapes Procurement Business Processes and Trust Mechanisms.

IoT Device Control Network Empowers Intelligent Procurement.

Digital Twin Creates Virtual-Real Interaction Space for Procurement.

RPA Enables Procurement Business Process Automation.

Intelligent Quality Inspection and Measurement Technology Escort Procurement Incoming Material Quality Improvement.

7 class hours

Procurement Big Data Management: Data Collection, Governance and Application.

Big Data Analytics Driven Procurement Demand Forecasting.

Big Data Analysis Optimizes Procurement Category Management.

Data Analysis Driven Supplier Selection and Performance Management.

AI-enabled Supply Chain Risk Intelligent Prevention and Control.

Data Analysis Application in Procurement Negotiation.

Exploring the Application of Digital Twin Technology in Procurement.

7 class hours

Master the basic concepts of supply chain definition, objectives, processes, etc.

Understand supply chain strategy planning methods, network design elements, and supply chain strategic transformation paths.

4 class hours

Build S&OP process to achieve supply chain planning coordination;

Recognize the strategic position of procurement, master the key points of procurement negotiation, supplier development and management;

Calculate inventory cost, formulate optimal ordering strategy and safety stock level.

12 class hours

Conduct warehouse site selection and layout, optimize warehouse operations;

Design distribution network, optimize distribution routes, improve distribution services;

Select transportation mode, plan transportation channels, control transportation risks.

12 class hours

Design supply chain KPIs, build an end-to-end performance evaluation system;

Identify supply chain risk points, formulate risk control plans;

Apply process optimization methods to build a lean supply chain.

9 class hours

Grasp the characteristics of digital supply chain, assess the digital maturity of enterprises;

Explore the application of artificial intelligence in supply chain demand forecasting, planning optimization, intelligent execution and other fields.

3 class hours

The Connotation and Extension of Supply Chain

4 class hours

Strategic Planning of Supply Chain Operation

Planning Coordination: The Art of Multi-dimensional Game

12 class hours

Procurement Management: The Integration and Driving of External Resources

Inventory Management: The Pursuit of Certainty in Uncertainty

Warehouse Management: Taming the Space-time Black Hole

12 class hours

Distribution Management: The Relay of the Last Mile

Transportation Management: The Smooth and Orderly Flow of Logistics Arteries

Establishing an End-to-end Supply Chain Performance Evaluation System

9 class hours

Supply Chain Risk Management: Seeking Survival in Uncertainty

Supply Chain Process Optimization and Reengineering: The Unremitting Pursuit of "Zero Inventory"

Digital Supply Chain: From Automation to Intelligence

3 class hours

Application of Artificial Intelligence in Supply Chain

This chapter introduces the application scenarios, business value and typical cases of AI technology in various aspects of procurement management, including demand forecasting, supplier management, negotiation optimization, process automation, price prediction, risk control and other fields, and deeply discusses the procurement application practices of subdivided technologies such as machine learning, NLP, RPA, and knowledge graphs.

9 class hours

This chapter focuses on the innovative applications of cutting-edge technologies such as blockchain, Internet of Things, AR/VR in the procurement field, and explores the changes in procurement management models from the perspective of emerging technologies such as industrial internet platforms, blockchain trust mechanisms, IoT regulatory networks, AR/VR training, digital twins, RPA process automation, and intelligent quality inspection.

7 class hours

This chapter analyzes how technologies such as big data analytics and digital twins can deeply mine data value and drive procurement decision optimization. The content covers big data analytics applications such as procurement big data management, demand forecasting, category management, supplier selection and performance evaluation, risk control, negotiation optimization, as well as digital twin practices of procurement business processes and supplier production operations.

7 class hours

Procurement Meets AI: Analysis of Application Scenarios and Value

AI + Procurement, What's the Business Value?

Pioneers of Intelligent Procurement

Machine Learning: Insight into Demand, Optimizing Plans

Knowledge Graph Empowers Intelligent Supplier Management

NLP: A Good Helper for Procurement Negotiation

Robots Are Coming, A New Era of Process Automation

Price Prediction and Dynamic Pricing Driven by Big Data

Data-Driven Powerful Tool for Procurement Risk Control 

9 class hours

Industrial Internet Platform Reshapes New Model of Inter-Enterprise Collaborative Procurement

Blockchain Reshapes Procurement Business Processes and Trust Mechanisms

IoT Device Deployment Network Enables Intelligent Procurement

Digital Twin Creates a Virtual-Reality Interactive Space for Procurement

RPA Enables Procurement Business Process Automation

Intelligent Quality Inspection and Measurement Technology Escorts

Procurement Incoming Material Quality Improvement

7 class hours

Procurement Big Data Management: Data Collection, Governance and Application

Procurement Demand Forecasting Driven by Big Data Analytics

Big Data Analytics Optimizes Procurement Category Management

Supplier Selection and Performance Management Driven by Data Analytics

AI-enabled Intelligent Prevention and Control of Supply Chain Risks

Application of Data Analytics in Procurement Negotiation

Exploration of Digital Twin Technology Application in Procurement Field

7 class hours