Deep learning and multi-agent simulation for spatiotemporal inventory management in e-commerce

Key Points

• The aim is to explore the application of deep learning and multi-agent simulation for effective inventory management in e-commerce.
• Analyzed existing literature on inventory management techniques.
• Evaluated the use of deep learning algorithms for demand forecasting.
• Investigated multi-agent simulations to optimize inventory systems.
• Deep learning models improve accuracy in demand prediction.
• Multi-agent simulations enhance efficiency in inventory processes.
• Integration of both methods shows potential for reducing costs.

Abstract