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Supermarket Performance Metrics
Stock & Market Data
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Free
About
This dataset offers an analysis of supermarket store branch sales, focusing on how sales are influenced by store area and daily customer count. A supermarket is defined as a self-service shop providing a wide variety of food, beverages, and household items, typically larger than a grocery store but smaller than a hypermarket. The data includes details for different supermarket store IDs. The primary purpose of this dataset is to facilitate the analysis of past store performances, allowing for the identification and rectification of deficiencies and the leveraging of positive aspects to enhance profitability.
Columns
- Store ID: A unique identifier for each specific store, represented as a positive integer.
- Store_Area: The physical size of the store, measured in yard square.
- Items_Available: The count of distinct items stocked and available within the corresponding store.
- Daily_Customer_Count: The average number of customers who visited the stores over a month.
- Store_Sales: The total sales generated by the stores, expressed in US dollars ($).
Distribution
The dataset is provided in a CSV file format and has a file size of 22.55 kB. It contains 896 valid records across all included columns. Specific numbers for rows/records are available based on the valid count for each column.
Usage
This dataset is ideal for:
- Analysing supermarket sales performance and identifying key influencing factors.
- Understanding the relationship between store physical area, item availability, customer traffic, and sales figures.
- Benchmarking store performance.
- Identifying areas for operational improvement to boost sales and efficiency.
- Developing strategies to increase store profits based on historical data.
Coverage
The dataset covers different stores of a supermarket company. While it does not specify a precise geographic or demographic scope, the "Daily_Customer_Count" represents an average over a month, indicating a focus on routine operational data. The inspiration suggests analysing "performances of stores in the past", implying historical data. No specific time range beyond "average over month" is provided, nor are specific notes on data availability for certain groups/years.
License
CC BY-SA 3.0
Who Can Use It
This dataset is suitable for:
- Retail analysts and business intelligence professionals keen on understanding factors affecting retail performance.
- Data scientists and statisticians for predictive modelling related to sales and customer behaviour.
- Store managers and operations teams looking to optimise store layout, inventory, and customer engagement.
- Academic researchers studying retail economics and consumer patterns.
- Anyone interested in evaluating store efficiency and profitability.
Dataset Name Suggestions
- Supermarket Performance Metrics
- Retail Store Sales & Traffic
- Store Operations Analytics
- Supermarket Sales Drivers
- Branch Performance Data
Attributes
Original Data Source: Supermarket Performance Metrics
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