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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM39849
Volume:
8 |
12 |
Dec 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This project focuses on developing an interactive, real-time dashboard designed to empower businesses with actionable insights into sales performance and customer feedback. The platform simplifies data analysis by allowing users to upload CSV or Excel files containing sales and customer data. Using advanced analytics and visualization techniques, it transforms raw data into meaningful insights to optimize business decisions. Key features include comprehensive sales analytics through dynamic charts and plots, sentiment analysis for customer feedback using TextBlob, and KPI tracking to monitor critical performance metrics such as total revenue, monthly sales trends, and customer satisfaction levels. By leveraging predictive analytics via linear regression, the dashboard enables accurate sales forecasting, empowering users to anticipate trends and make proactive strategies. This tool bridges the gap between data complexity and business strategy, equipping organizations to enhance customer satisfaction, streamline operations, and drive sustainable growth. Its user-friendly interface ensures accessibility, while the AI-driven insights provide precision and clarity, helping businesses stay competitive in a dynamic market environment.
KEYWORDS
Publication Date
12/16/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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