Supply Chain Product Selection Manager Exam Guide
Occupation Code: 24-08-04-01
(2024 Edition)
Formulated by American Procurement and Supply Chain Certification Association
Certification 1
Proportion (%) | |
1. Digital thinking and data analysis capabilities; 2. Cross-domain knowledge integration ability; 3. Rapid learning and innovation capabilities. | 10 |
1. Category definition and classification; 2. Category role division and goal setting; 3. Category strategy formulation and execution. | 20 |
1. Characteristics and selection considerations of hit products; 2. Identification methods and evaluation of hit products; 3. Development strategies and lifecycle management of hit products. | 15 |
1. Procurement budgeting process and methods; 2. Budget execution variance analysis and adjustment; 3. Application of budgeting information tools. | 15 |
1. Negotiation goal setting and strategy selection; 2. Negotiation skills and psychological tactics; 3. Negotiation result evaluation and optimization. | 15 |
1. Application of product selection data collection and processing tools; 2. Application of product selection demand forecasting and analysis tools; 3. Application of end-to-end product selection management and collaboration tools. | 10 |
1. Practical market demand analysis and forecasting; 2. Application of consumer profile analysis; 3. Visualization of digital product selection data. | 10 |
1. Practical training of core digital product selection skills; 2. Cross-domain learning to expand product selection knowledge; 3. Career development path for product selectors in the digital era.
| 5 |
Chapter-Level Focus | Proportion (%) |
Capability Reinvention: New Requirements for Product Selectors in the Digital Age | 10 |
Category Planning Methods, Tools and Key Practices | 20 |
Product Selection Strategies for Developing and Incubating Hit Products | 15 |
Comprehensive Budget Management and Cost Control | 15 |
Procurement Negotiation Strategies and Techniques | 15 |
Application of Digital Product Selection Tools | 10 |
Digital Product Selection Data Analysis and Application | 10 |
Capability Reinvention of Product Selectors in the Digital Era | 5 |
Certification 2
Exam Focus | Proportion (%) |
Macro-economic environment analysis, key industry trends, supply market characteristics assessment, analysis tools application | 10 |
Critical material identification, supply risk assessment, demand forecasting, price trend analysis | 10 |
Supplier evaluation metrics, 360-degree profiling, SRM system, strategic partners | 10 |
Risk identification and assessment, early warning system, control strategies, best practices | 10 |
Opportunities and challenges in emerging markets, supplier development process, risk prevention, cross-border team management | 5 |
Interfacing with demanding departments, financial collaboration, quality control, information integration | 5 |
P2P system optimization, machine learning application, blockchain supply chain, digital organizational capabilities | 10 |
Big data application scenarios, data management practices, data visualization tools, cost reduction and efficiency improvement cases | 10 |
AI application in key aspects like supplier selection, human-machine collaboration, intelligent development vision | 5 |
Decentralization transforming traditional processes, supply chain visualization, blockchain model selection, implementation challenges | 5 |
Comparison of North American, European and Asia-Pacific markets, regional differentiated procurement strategies | 5 |
Cutting-edge technology application, digital-driven value transformation, new global competitive advantages | 5 |
Sustainable procurement policies, supplier ESG performance management, best practices | 5 |
Big data and AI application in ESG data, digital procurement pioneer practices, sustainable procurement model innovation | 5 |
Chapter-Level Focus | Proportion (%) |
Supply market environment scanning and analysis | 10 |
Supply and demand analysis of critical materials | 10 |
Comprehensive supplier profiling | 10 |
Supply chain risk identification, early warning and control | 10 |
Emerging market and non-traditional supplier development practices | 5 |
Procurement and cross-departmental collaboration process reengineering | 5 |
Methods and paths for digital procurement transformation | 10 |
Building a data-driven procurement decision-making system | 10 |
Applying artificial intelligence to empower procurement management | 5 |
Blockchain reshaping procurement processes and value chain | 5 |
Insights into major global regional markets | 5 |
New global procurement models enabled by digital technologies | 5 |
Key strategies and practices for sustainable procurement | 5 |
Data-driven sustainable procurement insights | 5 |
Supply Chain Product Selection Specialist Exam Guide
Occupation Code: 24-08-04-01
(2024 Edition)
Formulated by American Procurement and Supply Chain Certification Association
Proportion (%) | |
1. Digital thinking and data analysis capabilities; 2. Cross-domain knowledge integration ability; 3. Rapid learning and innovation capabilities. | 10 |
1. Category definition and classification; 2. Category role division and goal setting; 3. Category strategy formulation and execution. | 20 |
1. Characteristics and selection considerations of hit products; 2. Identification methods and evaluation of hit products; 3. Development strategies and lifecycle management of hit products. | 15 |
1. Procurement budgeting process and methods; 2. Budget execution variance analysis and adjustment; 3. Application of budgeting information tools. | 15 |
1. Negotiation goal setting and strategy selection; 2. Negotiation skills and psychological tactics; 3. Negotiation result evaluation and optimization. | 15 |
1. Application of product selection data collection and processing tools; 2. Application of product selection demand forecasting and analysis tools; 3. Application of end-to-end product selection management and collaboration tools. | 10 |
1. Practical market demand analysis and forecasting; 2. Application of consumer profile analysis; 3. Visualization of digital product selection data. | 10 |
1. Practical training of core digital product selection skills; 2. Cross-domain learning to expand product selection knowledge; 3. Career development path for product selectors in the digital era. | 5 |
Chapter-Level Focus | Proportion (%) |
Capability Reinvention: New Requirements for Product Selectors in the Digital Age | 10 |
Category Planning Methods, Tools and Key Practices | 20 |
Product Selection Strategies for Developing and Incubating Hit Products | 15 |
Comprehensive Budget Management and Cost Control | 15 |
Procurement Negotiation Strategies and Techniques | 15 |
Application of Digital Product Selection Tools | 10 |
Digital Product Selection Data Analysis and Application | 10 |
Capability Reinvention of Product Selectors in the Digital Era | 5 |
Supply Chain Product Selection Director Exam Guide
Occupation Code: 24-08-04-01
(2024 Edition)
Formulated by American Procurement and Supply Chain Certification Association
Certification 1
Exam Focus | Proportion (%) |
1. Digital thinking and data analysis capabilities; 2. Cross-domain knowledge integration ability; 3. Rapid learning and innovation capabilities. | 10 |
1. Category definition and classification; 2. Category role division and goal setting; 3. Category strategy formulation and execution. | 20 |
1. Characteristics and selection considerations of hit products; 2. Identification methods and evaluation of hit products; 3. Development strategies and lifecycle management of hit products. | 15 |
1. Procurement budgeting process and methods; 2. Budget execution variance analysis and adjustment; 3. Application of budgeting information tools. | 15 |
1. Negotiation goal setting and strategy selection; 2. Negotiation skills and psychological tactics; 3. Negotiation result evaluation and optimization. | 15 |
1. Application of product selection data collection and processing tools; 2. Application of product selection demand forecasting and analysis tools; 3. Application of end-to-end product selection management and collaboration tools. | 10 |
1. Practical market demand analysis and forecasting; 2. Application of consumer profile analysis; 3. Visualization of digital product selection data. | 10 |
1. Practical training of core digital product selection skills; 2. Cross-domain learning to expand product selection knowledge; 3. Career development path for product selectors in the digital era.
| 5 |
Chapter-Level Focus | Proportion (%) |
Capability Reinvention: New Requirements for Product Selectors in the Digital Age | 10 |
Category Planning Methods, Tools and Key Practices | 20 |
Product Selection Strategies for Developing and Incubating Hit Products | 15 |
Comprehensive Budget Management and Cost Control | 15 |
Procurement Negotiation Strategies and Techniques | 15 |
Application of Digital Product Selection Tools | 10 |
Digital Product Selection Data Analysis and Application | 10 |
Capability Reinvention of Product Selectors in the Digital Era | 5 |
Certification 2
Exam Focus | Proportion (%) |
Macro-economic environment analysis, key industry trends, supply market characteristics assessment, analysis tools application | 10 |
Critical material identification, supply risk assessment, demand forecasting, price trend analysis | 10 |
Supplier evaluation metrics, 360-degree profiling, SRM system, strategic partners | 10 |
Risk identification and assessment, early warning system, control strategies, best practices | 10 |
Opportunities and challenges in emerging markets, supplier development process, risk prevention, cross-border team management | 5 |
Interfacing with demanding departments, financial collaboration, quality control, information integration | 5 |
P2P system optimization, machine learning application, blockchain supply chain, digital organizational capabilities | 10 |
Big data application scenarios, data management practices, data visualization tools, cost reduction and efficiency improvement cases | 10 |
AI application in key aspects like supplier selection, human-machine collaboration, intelligent development vision | 5 |
Decentralization transforming traditional processes, supply chain visualization, blockchain model selection, implementation challenges | 5 |
Comparison of North American, European and Asia-Pacific markets, regional differentiated procurement strategies | 5 |
Cutting-edge technology application, digital-driven value transformation, new global competitive advantages | 5 |
Sustainable procurement policies, supplier ESG performance management, best practices | 5 |
Big data and AI application in ESG data, digital procurement pioneer practices, sustainable procurement model innovation | 5 |
Chapter-Level Focus | Proportion (%) |
Supply market environment scanning and analysis | 10 |
Supply and demand analysis of critical materials | 10 |
Comprehensive supplier profiling | 10 |
Supply chain risk identification, early warning and control | 10 |
Emerging market and non-traditional supplier development practices | 5 |
Procurement and cross-departmental collaboration process reengineering | 5 |
Methods and paths for digital procurement transformation | 10 |
Building a data-driven procurement decision-making system | 10 |
Applying artificial intelligence to empower procurement management | 5 |
Blockchain reshaping procurement processes and value chain | 5 |
Insights into major global regional markets | 5 |
New global procurement models enabled by digital technologies | 5 |
Key strategies and practices for sustainable procurement | 5 |
Data-driven sustainable procurement insights | 5 |
Certification 3
Exam Focus | Proportion (%) |
Definition, importance, and development history of supplier management | 15% |
Impact of macro environment on supplier management, opportunities and challenges of emerging technologies | |
Analysis and resolution of supplier management issues from a multidisciplinary perspective | |
Supplier demand analysis and market research methods | 30% |
Supplier development and selection process, qualification evaluation index system | |
Supplier evaluation and certification management, performance improvement strategies | |
Supplier negotiation strategies and techniques, key contract elements and risk prevention | |
Supplier relationship maintenance, communication channel construction, conflict resolution | |
Supplier performance evaluation index system, assessment models and methods | 30% |
Supply chain risk types, supplier risk identification, assessment, early warning and prevention | |
Supplier collaboration methods to achieve supply chain optimization | |
Sustainable supplier management, incorporating environmental protection and social responsibility | |
Development planning for key suppliers, implementation of capacity improvement projects | 25% |
Digital procurement and supplier management trends, big data and artificial intelligence applications | |
Supplier management team building, talent competency model and development | |
Innovative practices in digital supplier management, application cases of new technologies |
Chapter-Level Focus | Proportion (%) |
Overview and development history of supplier management | 15% |
Macroeconomic environment and supplier management | |
Supplier management from a multidisciplinary perspective | |
Supplier demand analysis and market research | |
Supplier development and selection | 30% |
Supplier evaluation and certification management | |
Supplier negotiation and contract management | |
Supplier relationship management | |
Supplier performance management | 30% |
Supply chain risk and supplier management | |
Supplier collaboration and supply chain optimization | |
Supplier management for sustainable development | |
Supplier development planning and projects | 25% |
Digital transformation in supplier management | |
Supplier management team building and talent development | |
Innovative practices in digital supplier management |