浙江省杭州市九洲大药房百井坊巷店销售预警数据

采集了九洲大药房百井坊巷店销售分析的预警指标，分析得到经营额同比、来客数同比、效期数、滞销占比、周转天数的预警指标，不仅可用于监控管理门店的销售情况，用于门店即时监控预警、快速预警响应、预知顾客流失、库存积压等问题，同时长期预警数据分析指引未来的业务方向和策略制定；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
采集了近30天销售总额，滞销金额，库存，经营额同比、来客数同比、效期数、滞销占比、周转天数等预警数据。
2.数据处理
设定不同参数的预警阀值和预警指标，其中预警阈值由九洲大药房百井坊巷店的历史预警数据根据时间序列分析法得到。
(1)经营额同比预警指标：若上一时期同比下降比例达到预警阈值（如5%），视为预警信号，可能意味着销售业绩下滑。
(2)来客数同比预警指标：来客数减少比例达到预警阀值（如降低10%以上），提示需要关注顾客流失问题。
(3)效期数预警指标：若临近有效期商品数量增加比例达到预警阀值，需警惕库存积压和潜在的损耗风险。
(4)周转天数预警指标：周转天数=30/（近30天销售总额/库存），库存周转天数增加超出预警阀值，可能是库存管理不善或市场需求减少的迹象。
(5)滞销占比预警指标：滞销占比=滞销金额/库存，超过预警阀值的滞销商品需特别关注并考虑促销策略。

This dataset collects early warning indicators for sales analysis of JiuZhou Pharmacy (Baijingfang Alley Store). The calculated early warning indicators include year-on-year changes in sales revenue, year-on-year changes in customer volume, number of near-expiry products, proportion of slow-moving products, and inventory turnover days. These indicators can not only be used to monitor store sales performance, enabling real-time monitoring and early warning, rapid emergency response, prediction of customer churn, and identification of inventory overstock issues, but also support long-term early warning data analysis to guide future business directions and strategy formulation. Additionally, it serves multiple scenarios requiring enterprise or institutional applications such as industry analysis and market research, supply chain management, financial investment and risk assessment, and consumer behavior analysis, targeting entities including peer pharmacies and chains, pharmaceutical suppliers and distributors, marketing and advertising companies, and government and regulatory agencies.

1. Data Source
This dataset collects early warning data including total sales revenue over the past 30 days, slow-moving product amount, inventory, year-on-year changes in sales revenue, year-on-year changes in customer volume, number of near-expiry products, proportion of slow-moving products, and inventory turnover days.

2. Data Processing
Early warning thresholds and indicators with different parameters are set, where the warning thresholds are derived from the historical early warning data of JiuZhou Pharmacy (Baijingfang Alley Store) via time series analysis.
(1) Year-on-Year Sales Revenue Warning Indicator: If the year-on-year decline in the previous period reaches the warning threshold (e.g., 5%), it is regarded as an early warning signal, which may indicate a decline in sales performance.
(2) Year-on-Year Customer Volume Warning Indicator: If the decline in customer volume exceeds the warning threshold (e.g., more than 10%), it alerts the need to pay attention to customer churn issues.
(3) Near-Expiry Products Warning Indicator: If the growth rate of the number of near-expiry products reaches the warning threshold, vigilance is required regarding inventory overstock and potential loss risks.
(4) Inventory Turnover Days Warning Indicator: Inventory turnover days = 30 / (total sales revenue over the past 30 days / inventory). An increase in inventory turnover days beyond the warning threshold may indicate poor inventory management or reduced market demand.
(5) Proportion of Slow-Moving Products Warning Indicator: Proportion of slow-moving products = slow-moving product amount / inventory. Slow-moving products whose proportion exceeds the warning threshold require special attention and consideration of promotional strategies.