Sales prediction and competitive product analysis using Power BI
Abstract & Details
Research Area
Management
Keywords
Sales prediction
data visualization
Power BI
business intelligence
product performance
and data driven decisions
Abstract
Sales prediction helps the business to make data-driven decisions and improve the overall performance of the company. This study uses rolling forecasting method to determine the sales growth rate and make sales prediction. While Chai Waale may have multiple outlets, this study will focus on a specific location such as Adambakkam to provide more detailed information. The study used Power BI to predict the future sales of Chai Waale. Based on this analysis, Chai Waale is expected to grow by 8.59% from August 2024 to July 2025. The time series forecasting method is used which understand the trends, and seasonal changes in the data. The study aims to create interactive dashboards and chart that represents sales data and competitive product analysis. The findings of this study will help Chai Waale in making data driven decisions, inventory management and resource allocation and enhance customer satisfaction. The study also includes the competitive product analysis which highlights the consistent performance of milk chai and also recognized the growth opportunities in new product categories such as Sandwiches and Maggi.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Swetha K | Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Tamil Nadu, India. |
| 2 | Dr. Lumina Julie R | Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Tamil Nadu, India. |
How to Cite
Use the following formats to cite this article in your research.
APA Style
K, Swetha & R, Dr. Lumina Julie (2025). Sales prediction and competitive product analysis using Power BI. International Journal of Advance Research and Innovative Ideas In Education, 11(2), 1097-1104.
MLA Style
K, Swetha, and Dr. Lumina Julie R. "Sales prediction and competitive product analysis using Power BI." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, 2025, pp. 1097-1104.
IEEE Style
Swetha K and Dr. Lumina Julie R, "Sales prediction and competitive product analysis using Power BI," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, pp. 1097-1104, 2025.
Vancouver Style
K Swetha, R Dr. Lumina Julie. Sales prediction and competitive product analysis using Power BI. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(2):1097-1104.
Harvard Style
K, Swetha & R, Dr. Lumina Julie (2025) 'Sales prediction and competitive product analysis using Power BI', International Journal of Advance Research and Innovative Ideas In Education, 11(2), pp. 1097-1104.
Chicago Style
K, Swetha and Dr. Lumina Julie R. "Sales prediction and competitive product analysis using Power BI." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 1097-1104.
Turabian Style
K, Swetha and Dr. Lumina Julie R. "Sales prediction and competitive product analysis using Power BI." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 1097-1104.
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