Auto-sales: A machine learning and data mining driven business analytics system
Avik Roy, Nibedita Dey, Joy Chakraborty, Ashis Kumar Prasad, Priyanshu Chakraborty and Somsubhra Gupta
This work proposes a dynamic and user-friendly system for sales analysis and optimization by proposing interesting measures in sales report through Data Mining and providing subsequent classified business analytics through autonomous Machine Learning. This system is designed to serve as a powerful tool for users to submit their business data and receive interesting analysis in return.
This web-based system provides a platform in which the user can input their sales data at ease regardless of the size and nature of their business. By doing so, they will be able to harness the power of data analysis to make informed decisions, identify patterns, and discover opportunities for growth. The security and privacy to the user data is fully ensured through registered account only accessible to them. Once logged in, they can conveniently enter their sales information, including relevant details such as transaction dates, product descriptions, quantities sold, and prices.
The real value of the system lies in its ability to analyze the sales data provided by users. By leveraging advanced algorithms and data science/ computational statistics techniques, the system generate insightful reports and visualizations that showcase trends, patterns, and key performance indicators. These reports will provide users with a comprehensive overview of their sales performance and allow them to identify areas of improvement or success.
The proposed system provides user-friendly interface will make it easy for users to navigate through their personalized sales analysis. They can view their reports, explore different time periods, compare sales performance across products or regions, and gain valuable insights that can drive their business decisions. This is different from erstwhile MIS based decision support system in terms of use of Machine learning classifiers that enables the system as autonomous and self -reliant.
In summary, this system empowers users by creating a sales analysis that enables them to submit their sales data, receive comprehensive analysis reports, and make data-driven decisions to enhance their business performance.
Avik Roy, Nibedita Dey, Joy Chakraborty, Ashis Kumar Prasad, Priyanshu Chakraborty, Somsubhra Gupta. Auto-sales: A machine learning and data mining driven business analytics system. Int J Res Marketing Manage Sales 2024;6(1):120-124. DOI: 10.33545/26633329.2024.v6.i1b.160