休闲服饰公司T恤品类浙江省销售贡献率数据

休闲服饰公司致力于为年青消费者提供风格化、注重细节、易搭配的潮流风尚服饰。此T恤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，统计在浙江省在2024年度各个月份在T恤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)T恤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。数据来源说明：此数据是本休闲服饰企业通过自有DRP系统，在浙江省共8个地市区、60家实体店铺，T恤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“T恤”；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：该款商品的销售金额；品类销售金额：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“T恤”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。

A casual apparel company is dedicated to providing young consumers with stylish, detail-oriented, easy-to-match trendy apparel. This sales contribution rate analysis data for each style of the T-shirt category is collected by the company via its in-house DRP system, by gathering sales order details, member details, product details and other relevant information, and statistically analyzing the consumption contribution of each T-shirt style across each month in Zhejiang Province in 2024.

Based on this T-shirt sales contribution analysis data of the casual apparel brand (targeting its core consumer group), select styles with high sales amount contribution or similar styles (similar in style, material, selling price, etc.). For styles with high sales contribution, conduct prominent in-store display, appropriate sales associate recommendation and priority promotional design:
1. In-store display: Concentrate displays of these selected styles and their matching items (tops and bottoms) in the main display areas of stores, including but not limited to the central store platform, store windows and other eye-catching locations;
2. Sales associate recommendation: Sales associates shall appropriately recommend these styles based on consumer characteristics including age, body shape and other traits;
3. Promotional activities: Prioritize designing promotions for these styles, such as member consumption coupons, price-offs, discounts and other activities.

Data source note: This data is based on sales contribution rate statistics derived from the T-shirt category sales data of 60 physical stores across 8 prefecture-level cities in Zhejiang Province, collected through the company's own DRP system.

Main field descriptions:
- Province: Source from sales orders;
- City: Source from sales orders;
- Month: Source from sales orders;
- Product Category (Broad): The broad product category corresponding to the sold goods, e.g., "T-shirts";
- Product Category (Sub): The sub-category under the broad product category;
- Product Name: The name of the sold product;
- Sales Amount: The sales amount of this product style;
- Category Sales Amount: The total sales amount of the broad product category to which this product style belongs;
- Sales Contribution Rate: The proportion of the product style's sales amount in the total sales amount of its broad product category.

Data processing steps:
1. 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, integrate them into the data warehouse, and establish a wide-format sales order detail table in the data warehouse;
2. Take the city as the geographic unit, calculate the total sales amount (Category Sales Amount) of the "T-shirt" category for each month in 2024;
3. Take the city as the geographic unit, calculate the sales amount (Sales Amount) of each style under this category for each month in 2024;
4. Calculate the proportion of each style's contribution to the category sales, i.e., the Sales Contribution Rate (Contribution Rate = Sales Amount / Category Sales Amount);
5. Due to the limited number of optimal display locations in stores, select the styles with the highest sales performance (including their matching items such as tops and bottoms, and similar styles from the same style series) for model displays and placement in optimal display locations, and strengthen the promotion and marketing efforts for these styles.