Retail firms face considerable issues as a result of product overstock and under stocking, especially in the context of fundamental tourism dynamics and seasonal bias. These problems can lead to missed sales opportunities, lower client satisfaction, and increased business expenditures. Intrinsic tourism characteristics, such as changes in visitor numbers and spending habits, can make it difficult for shops to precisely forecast demand. Seasonal biases, such as higher demand for certain items at various periods of the year, affect inventory management even more. To effectively address these difficulties, retailers must establish strategic inventory management procedures and use data analytics to estimate demand and improve product offers.