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Artificial Intelligence Capabilities for Demand Planning Process
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AI
DOI：10.3390/logistics8020053.png)
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Abstract
En 中文
Background: Technological advancements, particularly in Artificial Intelligence (AI), are revolutionizing operations management, especially in the domain of supply chain management. This paper delves into the application of AI in demand planning processes within the supply chain context. Drawing upon a comprehensive review of the existing literature, the main objective of this study is to analyze how AI is being applied and adopted in the demand planning process, identifying the resources needed to build the capacity of AI in the demand process, as well as the mechanisms and practices contributing to AI capability's advancement and formation. Methodology: The approach was qualitative, and case studies of three different companies were conducted. Results: This study identified crucial resources necessary for fostering AI capabilities in demand planning. Our study extends the literature on AI capability in several ways. First, we identify the resources that are important in the formation of the capacity to implement AI in the context of demand planning. Conclusions: This study's practical contributions underscore the multifaceted nature of AI implementation for demand planning, emphasizing the importance of resource allocation, human capital development, collaborative relationships, organizational alignment, and relational capital and AI.
Keywords:
demand planning
logistics
artificial intelligence
digital transformation
AI capability
resources
Journal
L
IF:
3.6
Papers:
807
Citations:
1.5K
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Cited Papers
Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion
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