浙江省杭州市九洲大药房博学路店销售预警数据

采集了九洲大药房博学路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博学路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 Jiuzhou Pharmacy Boxue Road Store. The analyzed indicators include year-on-year sales revenue, year-on-year customer count, number of near-expiry products, slow-moving product ratio, and inventory turnover days. This dataset can not only be used to monitor and manage store sales, support real-time store monitoring and early warning, rapid early warning response, predicting customer churn, and addressing inventory overstock and other issues; long-term early warning data analysis can also guide future business directions and strategy formulation. Additionally, it can serve 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 and chains, pharmaceutical suppliers and distributors, marketing and advertising agencies, government and regulatory bodies, etc.

1. Data Source
Collected early warning data including total sales revenue, slow-moving product value, inventory, year-on-year sales revenue, year-on-year customer count, number of near-expiry products, slow-moving product ratio, and inventory turnover days over the past 30 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 Boxue Road Store via time series analysis.
(1) Year-on-year Sales Revenue 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 Count Early Warning Indicator: When the reduction ratio of customer count reaches the warning threshold (e.g., a reduction of more than 10%), it signals the need to pay attention to customer churn issues.
(3) Near-expiry Product Count Early Warning Indicator: If the growth ratio of the number of near-expiry products reaches the warning threshold, it is necessary to be alert to 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). When the inventory turnover days increase beyond the warning threshold, it may be a sign of poor inventory management or reduced market demand.
(5) Slow-moving Product Ratio Early Warning Indicator: Slow-moving Product Ratio = Slow-moving Product Value / Inventory. Slow-moving products whose ratio exceeds the warning threshold require special attention and consideration of promotional strategies.

搜集汇总

数据集介绍

特点

该数据集提供了九洲大药房博学路店的销售预警信息，包括多个关键销售指标和预警数据，适用于门店管理、行业分析、供应链管理等多个应用场景。数据规模为530条，更新频次为按需更新。