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Retail Product Forecasting Dataset
Retail & Consumer Behavior
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Free
About
This dataset provides product sales observations over time, incorporating relevant factors such as price and weather. It focuses on the sales performance of five distinct products (P1, P2, P3, P4, P5), with specific attention to how price (X1) and temperature forecasts (X2) might influence the sales of products P3 and P4. The data is structured as a time-series, offering insights into sales trends and the impact of external variables on product performance.
Columns
- t: Represents the time point of each observation.
- ProductP1: Sales figures for Product P1.
- ProductP2: Sales figures for Product P2.
- ProductP3: Sales figures for Product P3.
- ProductP4: Sales figures for Product P4.
- ProductP5: Sales figures for Product P5.
- price: The price variable, X1, relevant for forecasting.
- temperature: The weather forecast of temperature in degrees Celsius, X2, relevant for forecasting.
Distribution
The dataset is typically provided as a CSV file, approximately 2.64 kB in size, and contains 8 columns. It consists of 100 records across all variables. Sales data for products P1 and P2 are recorded weekly, with observations collected until 10th November 2019. Products P3 and P4 feature daily sales data, collected until 24th November 2019. Sales data for product P5 is also weekly, with observations ending on 30th August 2019. This dataset is not expected to be updated.
Usage
This dataset is ideal for time-series analysis, particularly in the domain of product sales forecasting. It can be utilised to model and predict sales for P3 and P4 by leveraging the provided price and temperature variables. Researchers and analysts can explore the impact of pricing strategies and weather conditions on consumer purchasing behaviour across different product lines.
Coverage
The dataset covers varying time ranges for different products. Weekly data for P1 and P2 extends up to 10th November 2019. Daily data for P3 and P4 is available until 24th November 2019. Weekly data for P5 is included up to 30th August 2019. Geographic and demographic scopes are not specified within the provided information.
License
CC BY-NC-SA 4.0
Who Can Use It
This dataset is valuable for business analysts, data scientists, and researchers focused on sales forecasting, retail analytics, and understanding the influence of external factors like price and weather on product demand. It serves as a practical resource for developing predictive models and gaining insights into product performance over time.
Dataset Name Suggestions
- Product Sales Time-Series with Price and Weather
- Multi-Product Sales and Environmental Factors Data
- Retail Product Forecasting Dataset
- Sales Performance Analysis Data
- Time-Series Sales Dynamics
Attributes
Original Data Source: Retail Product Forecasting Dataset
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