浙江省杭州市九洲大药房莫干山路二店销售预警数据

采集了九洲大药房莫干山路二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莫干山路二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’s Moganshan Road No.2 Store. The calculated early warning indicators include year-on-year changes in business revenue, year-on-year changes in customer count, number of near-expiry products, slow-moving product proportion, and inventory turnover days. These indicators can be used not only for real-time monitoring and early warning of store sales, enabling rapid early warning response, predicting customer churn and inventory overstock issues, but also for long-term early warning data analysis to guide future business direction 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, 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
It collects early warning data including total sales revenue in the past 30 days, slow-moving sales amount, inventory, year-on-year changes in business revenue, year-on-year changes in customer count, number of near-expiry products, slow-moving product proportion, and inventory turnover days.

2. Data Processing
Early warning thresholds and indicators with different parameters are set, where the early warning thresholds are derived from the historical early warning data of Jiuzhou Pharmacy’s Moganshan Road No.2 Store via time series analysis.
(1) Year-on-year business revenue early warning indicator: If the year-on-year decline ratio of the previous period reaches the early 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: If the decline ratio of customer count reaches the early warning threshold (e.g., a reduction of more than 10%), it prompts attention to customer churn issues.
(3) Near-expiry products early warning indicator: If the growth ratio of the number of near-expiry products reaches the early warning threshold, it is necessary to guard against inventory overstock and potential loss risks.
(4) Inventory turnover days early warning indicator: Inventory turnover days = 30 / (total sales revenue in the past 30 days / inventory). If the increase in inventory turnover days exceeds the early warning threshold, it may be a sign of poor inventory management or reduced market demand.
(5) Slow-moving product proportion early warning indicator: Slow-moving product proportion = slow-moving sales amount / inventory. Slow-moving products exceeding the early warning threshold require special attention and consideration of promotion strategies.

搜集汇总

数据集介绍

特点

该数据集包含九洲大药房莫干山路二店的销售预警数据，涵盖经营额同比、来客数同比、效期数、滞销占比、周转天数等预警指标，用于监控管理门店销售情况，并支持行业分析、供应链管理等多种应用场景。数据规模为637条，按需更新。