Convenience Store & Independent Retailers Transactions Data
收藏Snowflake2024-06-26 更新2024-06-29 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
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**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.
提供机构:
PDI Technologies
创建时间:
2024-06-25
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集提供北美地区数万家独立便利店和零售商的详细交易数据,包括商品销售、支付方式、位置信息等核心维度,支持按品类、时间和地理维度进行汇总分析。数据源自POS系统并经过清洗,可扩展添加燃料销售和消费者ID等附加信息。
以上内容由遇见数据集搜集并总结生成



