To examine the current demand planning and stock replenishment processes in the banking sector.
To explore the potential benefits of implementing AI technologies in improving demand forecasting and stock management in banking operations.
To analyze the challenges and opportunities related to the application of AI in demand planning and stock replenishment in the banking sector.
To propose recommendations for integrating AI tools and techniques in optimizing demand planning and stock replenishment strategies in banks.
Conduct a literature review on demand planning, stock replenishment, and AI applications in the banking sector.
Analyze the existing demand planning and stock replenishment processes in a selected bank.
Identify areas where AI can be integrated to enhance demand forecasting and stock management.
Develop a framework for implementing AI in demand planning and stock replenishment in the banking sector.
Present findings and recommendations for improving operational efficiency and customer service through AI-driven demand planning and stock replenishment strategies.
