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FavTrip Convenience Store Transaction Data

FavTrip Convenience Store Transaction Data

Category : Economy

About this data:

 

Fav Trip is a locally owned gas station and convenience store with multiple locations in Kansas and Missouri. This dataset provides the most updated transaction history from Kansas City in Missouri on a timely basis, and the data were directly collected from the POS machines. The dataset mainly includes important sales information such as date and time, item description, the department that the item is within, quantity that sold, selling units, POS cost, POS retail, and retail at the sale.

 

Additionally, other information like margin, profit, and promo code information related to a specific transaction is also recorded in the dataset. This dataset covers the time range starting from August 2019 to December 2023, and the range for time can be extended or shortened based on the needs of users (special requests regarding customizing time range should be sent before purchasing data).

 

Use cases:

 

  • Improve the understanding of daily retail selling situations based on real-time and reliable data.
  • Understand the customers’ buying behaviors in convenience stores, and make safer decisions for retail business.
Favtrip (United States) on databroker
Data Provided by : Favtrip

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Description

About this data:



 



Fav Trip is a locally owned gas station and convenience store with multiple locations in Kansas and Missouri. This dataset provides the most updated transaction history from Kansas City in Missouri on a timely basis, and the data were directly collected from the POS machines. The dataset mainly includes important sales information such as date and time, item description, the department that the item is within, quantity that sold, selling units, POS cost, POS retail, and retail at the sale.



 



Additionally, other information like margin, profit, and promo code information related to a specific transaction is also recorded in the dataset. This dataset covers the time range starting from August 2019 to December 2023, and the range for time can be extended or shortened based on the needs of users (special requests regarding customizing time range should be sent before purchasing data).



 



Use cases:



 




  • Improve the understanding of daily retail selling situations based on real-time and reliable data.

  • Understand the customers’ buying behaviors in convenience stores, and make safer decisions for retail business.

Use Cases
Data Products
Product Name Access Period Price Purchase View