巴鲁特内蒙区品牌店10月份品类备货趋势数据

通过内蒙区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：通过内蒙区品牌店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 the sales data analysis of each product category in October of the first three calendar years (2020, 2021 and 2022) of brand stores in the Inner Mongolia Autonomous Region, aiming to predict the sales volume of each category in October of each subsequent year, guide the stock preparation direction for individual brand categories, thereby improving the sell-through rate of each category and enhancing the overall competitiveness of the brand.
Data Source: The dataset is derived from the actual sales proportion of each product category in October of the 2020, 2021 and 2022 calendar years from brand stores in the Inner Mongolia Autonomous Region.
Data Processing: The sales proportion of each category in 2020 is denoted as X, that in 2021 as Y, and that in 2022 as Z. The simple average formula is calculated as (X + Y + Z)/3. For the weighted average method, corresponding weights are assigned to the sales proportions of each year: the weight for 2020 is defined as p1, that for 2021 as p2, and that for 2022 as p3. The weighted average formula is calculated as X*p1 + Y*p2 + Z*p3.
Data Application: The results obtained from the statistical calculations of the two aforementioned methods are more accurate and valuable. The category stock preparation trend data is primarily used to analyze which product categories of the brand will have advantageous sales trends in the current October, providing targeted guidance and suggestions for the brand's stock preparation work.

搜集汇总

数据集介绍

特点

该数据集记录了巴鲁特内蒙区品牌店2020至2022年10月份各品类的销售数据，并通过两种平均法预测2023年销售占比，旨在为品牌备货提供数据支持，提高售罄率和竞争力。