To analyze the importance of predictive analytics in inventory management for a retail company like H&M.
To evaluate the impact of predictive analytics on financial performance, specifically in terms of inventory turnover and carrying costs.
To assess the effectiveness of predictive analytics models in optimizing inventory levels for H&M.
Conduct a literature review on predictive analytics in inventory management and its applications in the retail industry.
Collect and analyze data on H&M's inventory management practices and financial performance.
Develop predictive analytics models to forecast demand, optimize inventory levels, and minimize carrying costs for H&M.
Evaluate the results of the predictive analytics models and make recommendations for improving inventory management practices at H&M.
