浙江省杭州市九洲大药房智格店销售分析数据
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采集了九洲大药房智格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 分析九洲大药房智格店的以下参数： 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 is developed based on sales data collected from Jiuzhou Pharmacy Zhige Store for sales analysis, and extracts key indicators including repurchase rate, active SKU count, expiration date metrics, average transaction price, and average SKU per transaction. It can be applied to precise operational decision-making and management scenarios such as store inventory optimization, stocking strategy formulation, pricing strategy adjustment, and merchandise planning, to improve operational efficiency and market competitiveness. Additionally, it serves enterprises and institutions with needs in scenarios including industry analysis and market research, supply chain management, financial investment and risk assessment, and consumer behavior analysis, such as peer pharmacies or chain stores, pharmaceutical suppliers and distributors, marketing and advertising agencies, government and regulatory authorities. 1. Data Source The collected data include sales timestamp, profit and loss amount, slow-moving inventory amount, number of store visitors, number of completed transactions, inventory volume, and total business turnover. 2. Data Processing The following parameters of Jiuzhou Pharmacy Zhige Store are analyzed and calculated: - Repurchase Rate: The proportion of repeat customers who made repeat purchases within the statistical cycle (one year). - Active SKU Count: The number of product categories with recorded sales transactions within the statistical cycle. - Expiration Date Metrics: Refers to the expiration date distribution of goods in inventory, used to monitor the quantity of SKUs nearing their expiration dates. - Average Transaction Price: Calculated as Total Business Turnover / Number of Completed Transactions; - Average SKU per Transaction: The average number of distinct product categories involved in each completed transaction.
