步一样数字一体化平台商品交易数据
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通过步一样数字一体化互联网综合服务APP商品交易数据，分析不同类商品的销售表现，企业和商家可以识别出哪些零食品类或特定产品受到消费者的青睐，哪些则逐渐失去市场。从而洞察市场趋势；通过优化产品组合，及时调整策略，增加热门产品类的供应，同时淘汰那些不再受欢迎的品类，有助于提高销售额和库存周转率，以及平台运营管理人员优化商品库存配置策略，确保库存满足市场需求，提升运营效率。1.数据来源采集步一样数字一体化互联网综合服务APP平台，聚焦全国内上千品牌，涵盖品牌所有不同品类商品详情，包括商品名称、商品id （商品编码）等核心字段。 2.数据处理 （1）状态分析与在线判定：对商品的状态细致筛查，区分可购买商品与在线商品，统计实际在线商品数量。 （2）目标总商品按基础数量100000条设定：依据品牌策略及与平台合作框架，针对全国销售渠道，科学选定应上线专区分类范围，据此确定不同品类商品的目标在线商品数量。 （3）商品在线率计算：运用所得数据，计算品类商品在线率=目标数数量/总商品基础数量(100000)*100%，以此量化评估商品在线表现。 3.数据应用 将在线率数据应用到商品即时零售领域，一方面，用以商品在线的目标考核，及时调整供应商供给方案；另一方面，优化商品销售策略，提升在线商品数量与市场表现，高效驱动商品销售总额增长，增强商品即时零售竞争。
By leveraging the commodity transaction data from the Buyiyang digital integrated internet comprehensive service APP to analyze the sales performance of different categories of commodities, enterprises and merchants can identify which snack food categories or specific products are favored by consumers and which are gradually losing market share, thereby gaining insights into market trends. By optimizing product portfolios, adjusting strategies in a timely manner, increasing the supply of popular product categories, and eliminating those no longer popular, this approach helps improve sales revenue and inventory turnover rate, while also enabling platform operation managers to optimize commodity inventory allocation strategies, ensure inventory meets market demand, and enhance operational efficiency. 1. Data Source The data is collected from the Buyiyang digital integrated internet comprehensive service APP platform, focusing on thousands of brands across the country, covering detailed information of all commodities across different categories of these brands, including core fields such as commodity name, commodity ID (commodity code), etc. 2. Data Processing (1) Status Analysis and Online Identification: Conduct detailed screening of commodity status, distinguish between purchasable commodities and online commodities, and count the actual number of online commodities. (2) Target Commodity Setting with a Baseline of 100,000 Items: Based on brand strategies and the cooperation framework with the platform, scientifically determine the classification scope of online special zones for national sales channels, and thus set the target number of online commodities for different product categories. (3) Commodity Online Rate Calculation: Using the collected data, calculate the commodity online rate = (target number / baseline total commodity number (100,000)) * 100%, so as to quantitatively evaluate the online performance of commodities. 3. Data Application The online rate data is applied to the commodity instant retail sector. On one hand, it is used for the target assessment of commodity online status, and supplier supply plans are adjusted in a timely manner; on the other hand, it optimizes commodity sales strategies, increases the number of online commodities and their market performance, efficiently drives the growth of total commodity sales, and enhances the competitiveness of commodity instant retail.
