11/6/2025

 11/6/2025

Today, i will continue to study the parameter adjustment method of the SARIMA model in depth, focusing on finding the parameter combination that best suits the current sales data. By systematically testing different (p, d, q)(P, D, Q, s) configurations and combining the actual sales cycle and seasonal characteristics, i will gradually select several model versions with good performance. After each parameter setting, i will find the model with the smallest MAPE to ensure that the model has higher reliability in practical applications.

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21/3/2025

 21/3/2025 Continue to explore and test various sales forecasting methods, including using different time periods for forecasting, to find the most accurate forecasting method. Attend meetings in the afternoon to discuss inventory status during the promotion period with relevant teams (such as managers and executives), focusing on products that have already started or are about to start promotions, especially products that are at risk of being out of stock (OOS), and develop corresponding response strategies to ensure the smooth progress of promotions.
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19/3/2025

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