巴鲁特四川区品牌店10月份品类备货趋势数据

通过四川品牌店前三年中每年10月份各品类销售数据分析，预测每年度10月份各品类产品的销售数量，对品牌单品类备货方向做出引导，进而提高品牌各品类的售罄率，提高品牌整体的竞争力。数据来源：通过四川品牌店2020-2023年度10月份各品类实际销售占比得出数据，数据处理：20年各品类销售占比为X,21年各品类销售占比为Y,22年各品类销售占比为Z,绝对平均法计算公式为（X+Y+Z）/3:加强平均法，给20/21/22年每年份产品的销售占比计算出一个权重，20年销售占比权重定义为p1，21年销售占比权重定义为p2，22年销售占比权重定义为p3，加强平均法计算公式为X*P1+Y*P2+Z*P3;数据应用：通过以上两种方法的统计和计算得出的结果会更加的精确和有价值；品类备货趋势数据主要用来分析当月品牌哪个品类产品销售趋势会有优势，给品牌备货做出意见指导和建议。

This dataset is developed based on sales proportion analysis of each product category in October of each year from the first three operational years of a Sichuan-based brand store, with the core objectives of predicting the sales volume of each product category in October of each subsequent year, guiding the stock allocation direction for individual product categories of the brand, thereby improving the sell-through rate of each product category and enhancing the brand's overall competitiveness. Data Source: The dataset is derived from the actual sales proportion data of each product category in October across the 2020 to 2023 fiscal years of the Sichuan brand store. Data Processing: 1. Simple averaging method: Denote the sales proportion of each product category in 2020 as X, that in 2021 as Y, and that in 2022 as Z. The formula for the simple averaging method is (X + Y + Z)/3. 2. Weighted averaging method: Assign respective weights to the sales proportions of each product category in each of the three years, where the weight for the 2020 sales proportion is defined as p1, that for 2021 as p2, and that for 2022 as p3. The formula for the weighted averaging method is X*p1 + Y*p2 + Z*p3. Data Application: The results generated via the above two calculation methods are more precise and valuable. The category stock trend data is primarily utilized to analyze which product categories of the brand will have advantageous sales trends in the target month, providing professional guidance and suggestions for the brand's stock preparation work.