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Multi-Product Sales Forecasting Dataset
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About
This dataset contains product sales data for REC Corp LTD., a small-scaled business venture based in India, spanning over ten years [1]. The primary purpose of this dataset is to assist analysts in uncovering trends and insights within the company's sales operations [1]. It facilitates the analysis of four distinct products (P1, P2, P3, P4) and can be used to answer critical business questions, such as identifying sales trends across months, determining the highest-selling product, estimating potential sales on holidays, assessing the impact of discontinuing a product, and forecasting future sales and revenues [2, 3]. This is a hypothetical dataset generated for educational purposes [4].
Columns
The dataset comprises eight numerical parameters and a date column, collected from retail centres [1].
- Date: Represents the date of sales, with data spanning ten years [5]. This column has 4600 unique values, 100% valid [5].
- Q-P1: Total unit sales of Product 1. Values range from 254 to 7998, with a mean of 4.12k and a standard deviation of 2.24k over 4600 valid records [1, 6].
- Q-P2: Total unit sales of Product 2. Values range from 251 to 3998, with a mean of 2.13k and a standard deviation of 1.09k over 4600 valid records [1, 7].
- Q-P3: Total unit sales of Product 3. Values range from 250 to 6000, with a mean of 3.15k and a standard deviation of 1.67k over 4600 valid records [2, 7, 8].
- Q-P4: Total unit sales of Product 4. Values range from 250 to 2000, with a mean of 1.12k and a standard deviation of 497 over 4600 valid records [2, 8].
- S-P1: Total revenue from Product 1. Values range from 805 to 25.4k (INR), with a mean of 13.1k and a standard deviation of 7.11k over 4600 valid records [2, 9].
- S-P2: Total revenue from Product 2. Values range from 1.59k to 25.3k (INR), with a mean of 13.5k and a standard deviation of 6.91k over 4600 valid records [2, 10].
- S-P3: Total revenue from Product 3. Values range from 1.35k to 32.5k (INR), with a mean of 17k and a standard deviation of 9.06k over 4600 valid records [2, 10, 11].
- S-P4: Total revenue from Product 4. Values range from 1.78k to 14.3k (INR), with a mean of 8.01k and a standard deviation of 3.55k over 4600 valid records [2, 11].
Distribution
The dataset is typically provided as a CSV file [1, 12]. The file size is approximately 319.8 kB [4]. It contains 4600 records (rows), with 100% validity across all columns and no missing values [5]. Each record represents daily sales and revenue data [1].
Usage
This dataset is ideal for:
- Identifying monthly sales trends across all four products [2].
- Determining the highest-selling product over the entire period [2].
- Estimating potential unit sales for each product on days when retail centres are typically closed, such as 31st December [3].
- Analysing the potential business impact of discontinuing any one product [3].
- Predicting future sales and revenues, specifically for the year 2024, to provide yearly estimates with high accuracy [3].
Coverage
The data covers retail sales from REC Corp LTD. in India [1]. It spans a period of over ten years, with daily records starting from at least 13th June 2010 [1, 5]. There are no specific notes on data availability for certain demographic groups.
License
CC0: Public Domain
Who Can Use It
This dataset is particularly useful for data analysts, data scientists, and business intelligence professionals [1, 4]. It enables them to:
- Perform sales trend analysis to understand seasonal or periodic patterns [2].
- Conduct product performance evaluation to identify top performers and underperforming items [2].
- Develop predictive models for sales and revenue forecasting [3].
- Support strategic business decisions related to product portfolio management and operational planning [3].
- Students and beginners in data analytics can use it for educational purposes and to practice analytical skills [4].
Dataset Name Suggestions
- REC Corp Sales Performance Data
- Indian Retail Product Sales & Revenue
- REC Corp Historical Sales Analytics
- Multi-Product Sales Forecasting Dataset
Attributes
Original Data Source: Multi-Product Sales Forecasting Dataset
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