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Convenience Store & Independent Retailers Transactions Data

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Snowflake2024-10-07 更新2024-10-09 收录
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# Data Product Background PDI’s C-store transactions data feed provides unique insights into an opaque market. This data feed includes consumer merchandise and fuel transactions across tens of thousands of independent convenience stores within North America that are typically not available through other sources. The data is sourced directly from the site point of sale system and is cleaned and curated of operational noise typically seen from small operators. This curated data set provides an accurate view of store sales in this elusive, yet important, segment of convenience stores in the US. Key Data Measures & Dimensions Market basket detail for each consumer transaction including - Location of sale - Items sold - Discounts applied - Taxes - Total transaction price - Payment method used - Date/time of transaction Site attributes of the location of the sale - Address - GPS coordinates Product details - GTIN - Description - Brand (dependent on GTIN library coverage) - Unit of Sale - Selling price Additional elements available for additional cost: - Shopper ID: loyalty ID or hashed payment ID - Fuel purchases - Price paid per gallon - Number of gallons - Fuel grade <p><br/></p> Granularity and Customization Data is available at the most granular level showing each merchandise transaction across these independent convenience & independent retail operators. Most of the data consists of C-store transactions data, but additional non-fuel selling stores are included as well; these can be filtered out upon request. Data can also be summarized across merchandise category, time and geographic dimensions. Additionally, data can be enriched with loyalty programs, receipts data and First Party consumer information to create a more comprehensive picture.

# 数据产品背景 PDI旗下的便利店(Convenience Store,简称C-store)交易数据流可为这一信息不透明的市场提供独特的洞察视角。该数据流涵盖北美地区数万家独立便利店的消费者商品与燃油交易数据,这类数据通常无法通过其他渠道获取。数据直接从门店销售点(Point of Sale, POS)系统采集,并经过清洗与整理,剔除了小型商户运营中常见的操作噪声。经整理后的数据集可精准呈现美国这一难以获取却至关重要的便利店细分市场的门店销售状况。 核心数据指标与维度 每笔消费者交易的购物篮详情包含以下内容: - 交易门店位置 - 售卖商品 - 适用折扣 - 税费 - 交易总金额 - 支付方式 - 交易日期与时间 交易门店的场地属性包含: - 门店地址 - GPS坐标 商品详情包含: - 全球贸易项目代码(Global Trade Item Number, GTIN) - 商品描述 - 品牌(数据覆盖范围取决于GTIN数据库) - 销售单位 - 售卖单价 额外付费可获取的附加数据项: - 消费者标识:会员标识或哈希化支付标识 - 燃油购买记录 - 每加仑燃油实付价格 - 加注燃油加仑数 - 燃油标号 数据粒度与定制化服务 该数据以最细粒度发布,可展示上述独立便利店与独立零售商户的每一笔商品交易。数据主体为便利店交易数据,但同时也涵盖部分非燃油零售门店的交易数据,可根据需求将此类数据过滤移除。还可按照商品品类、时间与地理维度进行汇总统计。此外,可通过集成会员计划数据、收据数据与第一方消费者信息对数据进行增强,以构建更全面的市场画像。
提供机构:
PDI Technologies
创建时间:
2024-09-26
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集提供北美数万家独立便利店的商品及燃油交易明细,包含交易物品、价格、支付方式等核心维度,支持按品类、时间和地理维度汇总。数据源自POS系统,经去噪处理,并可扩展添加忠诚度计划等增强信息。
以上内容由遇见数据集搜集并总结生成
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