休闲服饰公司外套品类山东省销售贡献率数据

此外套品类各款销售贡献率分析数据是休闲服饰公司通过旗下DRP系统，收集销售订单明细、会员明细、商品明细等信息，统计在山东省在2024年度各个月份在外套品类的各个款的消费贡献度。根据此休闲服饰品牌(主要消费者群体)外套销售贡献度分析数据，选择销售金额贡献度较高的款或者该款的类似款(类似款，包括款式、材质、销售价格等相似)。对于销售贡献度大的款,，在陈列上醒目展示，导购推荐上适度推介，促销活动上优先设计。 1.门店陈列上：在门店的主要陈列位，不限于门店中台、门店橱窗等醒目位置集中陈列该款，及该款的搭配款(上下装)； 2.导购员推荐上：导购员根据消费者特点，包括消费者年龄、身材等特点，适度推荐该款； 3.促销活动上：促销活动优先设计该款，如会员消费券、满减、打折等活动；4.该数据知识产权对应数据集，主要包括城市、月份、品类、小品类、商品名称、贡献率等字段，适合本企业外客户(特别是休闲、流行类服饰企业)借助该数据集：分析该外套品类销售的地域因素、季节因素、城市流行因素，用来判断在合适城市合适月份投资和销售； 分析该外套品类下(小品类、各款)的销售贡献，用来判断外套品类内部的流行的子趋势。数据来源说明：此数据是本休闲服饰企业通过自有DRP系统，在山东省共16个地市区、310家实体店铺，外套品类服饰销售数据为基础统计的销售贡献率数据。主要字段说明：省份：来源销售订单；城市：来源销售订单；月份：来源销售订单；商品大类：销售商品所对应的商品大类，如“外套”；商品小类：销售商品所对应的商品大类下的小分类；商品名称：销售商品的商品名称性；销售金额（元）：该款商品的销售金额；品类销售金额（元）：该款商品所在的商品大类的销售金额；销售贡献度：该款商品的销售金额在商品大类销售金额中的占比。1.收集DRP系统(门店POS系统)销售订单明细数据、会员管理系统会员明细数据、商品管理系统商品明细数据，接入数据仓库，并在数据仓库中建立销售订单明细大宽表。2.以城市为地域单位，计算每个月“外套”这个品类的总销售金额(品类销售金额)。3.以城市为地域单位计算2024年度每个月这个品类下各款的销售金额(销售销额)。4.计算各款对品类销售的占比，即销售贡献度（贡献度 = 销售金额/品类销售金额）。4.由于店铺最佳陈列位置有限，选取对销售业绩最大的款（包括该款对应的搭配款-例如上衣等，以及该款同一风格系列的类似款），进行模特展示，最佳陈列位置展示，加强该款的推介、促销力度。

This sales contribution rate analysis data for each style of the outerwear category is collected by a casual apparel company through its in-house DRP system, by gathering sales order details, member details, product details and other relevant information. It statistically calculates the consumer contribution rate of each outerwear style in each month of 2024 across Shandong Province.

Based on this outerwear sales contribution rate analysis data of the casual apparel brand (target consumer group), styles with high sales amount contribution or similar styles (defined as similar in design, material, selling price and other aspects) will be selected.
1. Store display: Concentrate the display of this style and its matching styles (tops and bottoms) at the main display positions of the store, including but not limited to prominent locations such as the store's central display area and storefront windows;
2. Sales associate recommendation: Sales associates will appropriately recommend this style based on consumer characteristics, including age, body shape and other relevant traits;
3. Promotional activities: Prioritize designing promotional activities for this style, such as member consumption coupons, price-off for minimum purchase, discounts and other promotions;

This intellectual property-owned dataset mainly includes fields such as city, month, category, sub-category, product name, contribution rate and others. It is suitable for external clients of the company (especially casual and fashion apparel enterprises) to use this dataset for the following purposes: analyzing regional, seasonal and urban fashion factors affecting outerwear sales, so as to determine the appropriate cities and months for investment and sales; analyzing the sales contribution of the outerwear category (sub-categories and each style) to identify the internal popular sub-trends of the outerwear category.

Data Source Description: This data is the sales contribution rate statistics based on the outerwear sales data collected by this casual apparel enterprise through its own DRP system across 16 prefecture-level cities and 310 physical stores in Shandong Province.

Main Field Explanations:
- Province: sourced from sales orders;
- City: sourced from sales orders;
- Month: sourced from sales orders;
- Primary Product Category: the first-level product category corresponding to the sold goods, such as "Outerwear";
- Secondary Product Sub-category: the sub-category under the primary product category of the sold goods;
- Product Name: the official name of the sold product;
- Sales Amount (CNY): the total sales amount of this product style;
- Category Total Sales Amount (CNY): the total sales amount of the primary product category to which this product style belongs;
- Sales Contribution Rate: the proportion of the sales amount of this product style in the total sales amount of the primary product category.

Data Processing Steps:
1. Data Collection and Integration: Collect sales order detail data from the DRP system (store POS system), member detail data from the Member Management System, and product detail data from the Product Management System, then integrate them into the data warehouse and build a wide table for sales order details in the data warehouse;
2. Calculate the total sales amount (Category Total Sales Amount) of the "Outerwear" category for each month, taking each city as the regional unit;
3. Calculate the sales amount of each style under this category for each month of 2024, taking each city as the regional unit;
4. Calculate the proportion of each style's contribution to the category sales, which is the Sales Contribution Rate (Contribution Rate = Sales Amount / Category Total Sales Amount);
5. Due to the limited number of optimal display positions in stores, select the styles with the highest sales performance (including their matching styles such as tops and similar styles from the same style series) for mannequin display and placement at optimal display positions, so as to strengthen the promotion and marketing efforts for these styles.

搜集汇总

背景与挑战

背景概述

该数据集记录了休闲服饰公司在山东省外套品类的销售贡献率数据，包含20135条记录，每月更新，涵盖省份、城市、月份和商品详情等字段。它主要用于分析外套品类的地域和季节销售趋势，帮助企业优化陈列、推荐和促销策略，提升销售效率。