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Exam Guide

Intelligent Procurement Manager Exam Guide

Occupational Code: 24-08-08-02


(2024 Edition)

 


Formulated by American Procurement and Supply Chain Certification Association


Certification 1


Exam Focus

Proportion (%)

1.Application of machine learning in procurement demand forecasting and planning optimization;

2.Application of NLP technology in procurement negotiation preparation, cross-language communication, intelligent assistants and other scenarios.

 

30

1.Application of blockchain technology in procurement business process reengineering and trust mechanism construction;

2.Application of Internet of Things devices in supplier management, logistics monitoring, performance evaluation and other procurement scenarios.

25

1.Application of big data analytics in procurement demand forecasting and supplier management

2.Application of AI technology in supply chain risk perception, assessment and early warning

3.Data-driven procurement performance management and decision optimization

 

45


 

Chapter-level Focus

Proportion (%)

Machine Learning: Insight into Demand, Optimized Planning

NLP: A Good Helper for Procurement Negotiation

30

Blockchain Reshapes Procurement Business Processes and Trust Mechanisms

IoT Device Control Network Empowers Intelligent Procurement

25

Big Data Analytics Driven Procurement Demand Forecasting

Data Analysis Driven Supplier Selection and Performance Management

AI-enabled Supply Chain Risk Intelligent Prevention and Control

45

 

 

Exam Focus

Proportion (%)

Basic concepts of supply chain definition, objectives, processes; strategic-level content such as supply chain strategy planning, network design, and strategic transformation.

15

S&OP construction, plan coordination; strategic position of procurement, supplier management, procurement negotiation; core content of the planning and execution stage such as inventory cost, inventory strategy, order quantity and safety stock determination.

30

Warehouse layout and operation optimization; distribution network, route optimization and service management; key delivery aspects such as transportation mode selection, channel layout and risk control.

25

Supply chain KPI design, performance evaluation mechanism; supply chain risk identification, assessment and control; supply chain process optimization methods, lean and agile supply chain reengineering and other continuous improvement content.

20

Characteristics, maturity and data-driven decision-making of digital supply chain; application of artificial intelligence in supply chain demand forecasting, planning optimization, intelligent execution and other aspects.

10

Certification 2


Chapter-level

Proportion (%)

The Connotation and Extension of Supply Chain

15

Strategic Planning of Supply Chain Operation

Planning Coordination: The Art of Multi-dimensional Game

30

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

25

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

20

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

10

Application of Artificial Intelligence in Supply Chain

 


Intelligent Procurement Specialist Exam Guide


Occupational Code:  24-08-08-02


(2024 Edition)

 


Formulated by American Procurement and Supply Chain Certification Association


Exam Focuses

Proportion (%)

1.Application of machine learning in procurement demand forecasting and plan optimization;

2.Application of NLP technology in procurement negotiation preparation, cross-language communication, intelligent assistants and other scenarios. 

 

30

1.Application of blockchain technology in procurement business process reengineering and trust mechanism construction;

2.Application of IoT devices in procurement scenarios such as supplier management, logistics monitoring, and performance evaluation. 

 

25

1.Application of big data analytics in procurement demand forecasting and supplier management

2.Application of AI technology in supply chain risk perception, assessment, and early warning

3.Data-driven procurement performance management and decision optimization

45


 

Chapter-level Focuses

Proportion (%)

Machine Learning: Insight into Demand, Optimizing Plans

NLP: A Good Helper for Procurement Negotiation

30

Blockchain Reshapes Procurement Business Processes and Trust Mechanisms

IoT Device Deployment Network Enables Intelligent Procurement

25

Procurement Demand Forecasting Driven by Big Data Analytics

Supplier Selection and Performance Management Driven by Data Analytics

AI-enabled Intelligent Prevention and Control of Supply Chain Risks

45

 

 




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