23/7/2025

 23/7/2025

In terms of the forecast model, today I further added the lag feature (lagging sales). The experimental results show that the forecast line is closer to the actual sales, especially for non-holiday sales. However, an important problem was also found: the effect of the lag feature will mask the impact of external factors such as holidays. For example, even if there are promotions on the eve of certain holidays, the model will refer to the previous "non-holiday" sales value, resulting in insufficient prediction of the peak period.

At 10:30 this morning, the Prime Minister made an important statement. At the request of the manager, an impact analysis was conducted on the news and presented to him in the afternoon.

评论

发表评论

此博客中的热门博文

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.
阅读全文

19/3/2025

19/3/2025 Data related to Soh (Stock on hand), Sales (Sales data) and Warehouse Stock (Warehouse Stock) from January 2, 2025 to March 19, 2025 are extracted from Qlik Sense, and the data integrity is checked and initially cleaned. Subsequently, the stock level and warehouse stock allocation are analyzed by building visualization charts such as line charts and bar charts. Finally, the analysis results are discussed and corrected with the Supply Chain Forecast and Promotion Executive.
阅读全文