Intelligent Procurement Manager Exam Guide
Occupational Code: 24-08-08-02
(2024 Edition)
Formulated by American Procurement and Supply Chain Certification Association
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 |
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 |
Chapter-level | Proportion (%) |
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
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 |