浙江省杭州市九洲大药房庆春店销售分析数据

采集了九洲大药房庆春店销售分析的销售数据，分析得到复购数、SKU活跃数、效期数、均次价、均次SKU等关键指标，不仅可用于实现门店库存优化、备货策略、定价策略、商品策略等精准经营决策管理中，优化运营效率，提升市场竞争力；还可用于行业分析与市场调研、供应链管理、金融投资与风险评估、消费者行为分析等场景有需求的企业或机构，包括同行业药店或连锁店、药品供应商和分销商、市场营销与广告公司、政府与监管机构等。1.数据来源 采集了销售时间、损益金额、滞销金额、来客数、成交数、库存、经营额等数据。 2.数据处理 分析九洲大药房庆春店的以下参数： 复购数：在统计周期（一年）内，再次购买商品的老顾客比例。 SKU活跃数：在统计周期内，有销售记录的商品种类数量。 效期数：指库存中商品的期限分布情况，监控临期SKU商品数量。 均次价=经营额/成交数; 均次SKU：每笔交易平均涉及的不同商品种类数。This dataset collects sales data from the Qingchun Store of Jiuzhou Pharmacy, and derives key indicators including repurchase count, active SKU count, expiration date metrics, average transaction price, and average SKUs per transaction. It can not only be used to support precise operational decision-making and management such as store inventory optimization, stocking strategies, pricing strategies and commodity strategies to optimize operational efficiency and enhance market competitiveness, but also applicable to enterprises or institutions with needs in scenarios including industry analysis and market research, supply chain management, financial investment and risk assessment, consumer behavior analysis, etc. These entities include peer pharmacies or retail chains, pharmaceutical suppliers and distributors, marketing and advertising companies, government and regulatory agencies. 1. Data Source Sales data including sales time, profit and loss amount, slow-moving inventory amount, number of in-store customers, number of completed transactions, inventory volume and operating revenue were collected. 2. Data Processing The following parameters of Jiuzhou Pharmacy's Qingchun Store are analyzed: - Repurchase count: The proportion of repeat customers who made another purchase within the statistical cycle (one year). - Active SKU count: The number of product categories with sales records during the statistical cycle. - Expiration date metrics: Refers to the expiration date distribution of goods in inventory, used to monitor the quantity of expiring SKU products. - Average transaction price: Calculated as operating revenue divided by the number of completed transactions. - Average SKUs per transaction: The average number of distinct product categories involved in each single transaction.

搜集汇总

数据集介绍

特点

该数据集包含九洲大药房庆春店的销售数据，涵盖门店号、销售时间、损益金额、滞销金额、来客数、成交数、库存、经营额等关键指标，共计4223条记录。数据可用于门店库存优化、备货策略、定价策略等精准经营决策管理，以及行业分析、市场调研、供应链管理等多种应用场景。