<![CDATA[Inter Sport Store, a retail business located in Kersana District, Brebes Regency, has been operating since 2017. The store faces ongoing challenges in inventory management, frequently encountering stock surpluses or shortages that result in losses of up to IDR 15 million per month. These issues primarily result from a manual ordering process that relies on subjective estimation, without the support of accurate data analysis. Furthermore, sales records are still maintained manually in notebooks, making it difficult to track data and analyze consumer demand effectively. This study proposes the development of a web-based sales forecasting system using the Triple Exponential Smoothing (TES) method, which can handle both trend and seasonal patterns simultaneously, providing higher accuracy for complex time-series data compared to Single or Double Exponential Smoothing methods. The system is developed using the prototype development method with UML design and implemented using Laravel framework and MySQL database for real-time access and data updates. Forecasting results for the Ortuseight Catalyst Legion FG – Aqua White soccer shoe yielded a Mean Absolute Percentage Error (MAPE) of 13.38%, which is considered within the "good" accuracy range. The implementation of this system successfully reduced overstock by 25% and improved inventory management efficiency. This forecasting system enhances operational efficiency and supports data-driven decision-making for store management. ]]>
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