Explain !

A global manufacturing entity produces a wide range of electronic products that are sold in multiple regions. Their primary factory, based in country A, has a production capacity of 10,000 units per day. However, each region has different demand patterns, product preferences, and regulatory requirements. There's a transportation lead time of I ween to the nearest region (Region X) and up to 3 weens to the furthest one (Region Z). Due to logistical complexities, stoch-outs in any region result in significant customer dissatisfaction and potential loss of marnet share. Additionally, holding excess inventory leads to high costs, potential obsolescence, and wastage. The company currently relies on a simple forecast model which projects next month's demand based on the previous month's sales. This model does not account for regional variations, marneting activities, local holidays, or other potential disruptions. There's a pressing need for a more robust approach to manage the demand-supply mismatch. Question: Question: Design a comprehensive inventory management and demand forecasting system for the global manufacturing entity to ensure optimal stock levels in all regions while minimizing costs and maximizing customer satisfaction. What ney factors and variables would you consider, and how would you address the differences in lead time and demand across regions