浙江省杭州市九洲大药房信义坊店销售预警数据

采集了九洲大药房信义坊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信义坊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 and analyzes early warning indicators for sales analysis of Xinyifang Store of Jiuzhou Pharmacy, including year-on-year sales revenue growth, year-on-year customer traffic change, number of near-expiry products, proportion of slow-moving inventory, and inventory turnover days. The indicators can not only be used to monitor and manage the store's sales performance, enabling real-time sales monitoring and early warning, rapid early warning response, prediction of customer churn, and addressing issues such as inventory overstock; additionally, long-term early warning data analysis can guide the formulation of future business directions and strategies. Furthermore, it is applicable to enterprises or institutions with needs in scenarios such as industry analysis and market research, supply chain management, financial investment and risk assessment, and consumer behavior analysis, including peer pharmacies or chain stores, pharmaceutical suppliers and distributors, marketing and advertising companies, government and regulatory agencies, etc.

1. Data Source
Collected early warning data including total sales revenue, slow-moving inventory amount, inventory, year-on-year sales growth rate, year-on-year customer traffic change, number of near-expiry products, proportion of slow-moving inventory, and inventory turnover days over the past 30 days.

2. Data Processing
Early warning thresholds and indicators with different parameters were set, where the warning thresholds were derived from the historical early warning data of Xinyifang Store of Jiuzhou Pharmacy via time series analysis.
(1) Year-on-year Sales Growth Early Warning Indicator: If the year-on-year decline ratio of 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 Traffic Early Warning Indicator: If the decline ratio of customer traffic reaches the warning threshold (e.g., a reduction of more than "10%"), it prompts attention to customer churn issues.
(3) Near-expiry Product Quantity Early Warning Indicator: If the increase ratio of the number of near-expiry products reaches the warning threshold, vigilance is required against inventory overstock and potential loss risks.
(4) Inventory Turnover Days Early Warning Indicator: Inventory turnover days = 30 / (total sales revenue over the past 30 days / inventory). An increase in inventory turnover days exceeding the warning threshold may indicate poor inventory management or reduced market demand.
(5) Slow-moving Inventory Proportion Early Warning Indicator: Proportion of slow-moving inventory = slow-moving inventory amount / inventory. Slow-moving products exceeding the warning threshold require special attention and consideration of promotional strategies.