OAKLIFE家具订购管理系统订单分析数据

家具订购管理系统是一种基于互联网和现代信息技术的软件系统，旨在帮助家具制造商、零售商以及在线商城更高效地管理和处理订单。该系统通过自动化和集成化的方式，简化了订单管理和流程，提高了工作效率，并提供了更好的用户体验。通过分析OAKLIFE家具订购管理系统某一时间段内的家具订单数据，掌握不同家具的交易趋势，判断不同家具的受欢迎程度，有助于平台运营管理人员优化家具库存配置策略，确保库存满足市场需求，提升运营效率。1、数据采集：通过OAKLIFE家具订购管理系统管理后台采集某一月份的家具订单明细数据。 2、数据处理：以订单号作为唯一标识，对数据进行清洗、去除无效数据等操作，对买家昵称进行匿名化处理。 3、数据加工：利用SUMIFS函数结合LOOKUP函数计算出单日消费金额、前一日消费金额，计算得出消费金额日环比=（单日消费金额-前一日消费金额）/前一日消费金额；利用SUMIFS函数计算出该家具消费金额、家具消费总金额、该家具购买数量、家具购买总数，计算得出该家具消费金额占比=该家具消费金额/家具消费总金额、该家具购买数量占比=该家具购买数量/家具购买总数；根据该家具消费金额占比、该家具购买数量占比的权重核算家具受欢迎指数=（该家具消费金额占比*70%+该家具购买数量占比*30%）*100%，其中该家具消费金额占比、该家具购买数量占比分别赋予70%、30%的权重。 4、数据应用：将消费金额日环比配合日期制成折线图展示，便于管理人员了解周期内家具交易增长趋势。家具受用户欢迎程度越高，对整体家具交易贡献越大，为后续家具进销存方案制定提供数据依据，有助于管理人员优化资源分布。

The Furniture Order Management System is a software system based on the Internet and modern information technology, designed to help furniture manufacturers, retailers and online marketplaces manage and process orders more efficiently. This system simplifies order management and workflows through automation and integration, improves operational efficiency, and delivers an enhanced user experience. Analyzing furniture order data from the OAKLIFE Furniture Order Management System over a specific time period to grasp transaction trends of different furniture pieces and judge their popularity can help platform operation managers optimize furniture inventory allocation strategies, ensure inventory meets market demand, and improve operational efficiency.
1. Data Collection: Collect detailed furniture order data for a specific month via the backend management interface of the OAKLIFE Furniture Order Management System.
2. Data Processing: Take order numbers as unique identifiers, perform data cleaning and invalid data removal operations, and anonymize buyer nicknames.
3. Data Enrichment & Processing: Use the SUMIFS and LOOKUP functions to calculate daily consumption amount and previous day's consumption amount, then derive the daily day-over-day growth rate of consumption amount as (daily consumption amount - previous day's consumption amount) / previous day's consumption amount; Use the SUMIFS function to calculate the consumption amount of a specific furniture piece, total furniture consumption amount, purchase quantity of the specific furniture piece, and total furniture purchase quantity, then derive the consumption amount proportion of the specific furniture piece as (consumption amount of the specific furniture piece / total furniture consumption amount), and the purchase quantity proportion as (purchase quantity of the specific furniture piece / total furniture purchase quantity); Calculate the furniture popularity index based on the weights of the consumption amount proportion and purchase quantity proportion of the specific furniture piece: Popularity Index = (Consumption Amount Proportion * 70% + Purchase Quantity Proportion * 30%) * 100%, where the consumption amount proportion and purchase quantity proportion are assigned weights of 70% and 30% respectively.
4. Data Application: Create a line chart combining the daily day-over-day consumption growth rate and dates for visualization, enabling managers to understand the furniture transaction growth trend within the cycle. Higher user popularity of furniture means greater contribution to overall furniture transactions, which provides data support for formulating subsequent furniture inventory, procurement and sales management plans, and helps managers optimize resource allocation.

搜集汇总

数据集介绍

特点

该数据集为OAKLIFE家具订购管理系统的订单分析数据，包含806条订单记录，每年更新一次。数据涵盖了订单编号、创建时间、买家昵称、订单状态、支付方式、家具名称、单价、数量、金额等详细信息，通过分析这些数据可以掌握家具的交易趋势和受欢迎程度，帮助优化库存配置和提升运营效率。