To analyze the current inventory management system at IKEA and identify areas that can be optimized.
To implement predictive analytics techniques to forecast demand and improve inventory levels.
To develop a new inventory management strategy that leverages predictive analytics for improved efficiency and cost savings.
Conduct a thorough review of existing literature on inventory management and predictive analytics in the retail industry.
Collect and analyze data on IKEA's inventory levels, sales patterns, and customer demand.
Implement predictive analytics models to forecast future demand and optimize inventory levels.
Develop a new inventory management strategy based on the findings and recommendations from the analysis.
Present findings and recommendations to IKEA management for implementation and evaluation.
