Affiliation:
1. Dadi Institute of Engineering & Technology, Anakapalle, Visakhapatnam, India
Abstract
A stylish woman influencer, who always does online shopping 12 hours a day on, online shopping websites like Amazon, Flipkart, Myntra, etc. as she, filters the category of her styling to look more attractive. For the overnights, she faced the problem of filtering every product but which was the trend the product would be out of stock in the market. So, We made to conclude that the markets in various industries shouldn't Make the product out of stock or overflow. Analyze the industry and provide enhanced accuracy for improving the strategies of the market which increase profits
Reference8 articles.
1. Customer Segmentation In Shopping Mall Using Clustering In Machine Learning M.Thirunavakarasu1, Kuncham Pavan Kumar Reddy2, G.Srinivasa Teja3 Https://Www.Irjet.Net/Archives/V9/I3/Irjet-V9i3212.Pdf
2. Farrukh, Muhammed Umar, Wainwright, Richard, Crockett, Keeley, McLean, David and Dagnall, Neil (2023) Building Actionable Personas Using Machine Learning Techniques. In: 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI), 04 December 2022 - 08
3. December 2022, Singapore. https://doi.org/10.1109/SSCI51031. 2022.10022180
4. Customer Segmentation Using Machine Learning
5. Prof. Nikhil Patankar,1, Soham Dixit, Akshay Bhamare, Ashutosh Darpel, and Ritik Raina Dept. Of Information Technology Sanjivani College of Engineering, Kopargaon423601(MH), India https://www.researchgate.net/public ation/356756320_Customer_Segme ntation_Using_Machi ne_Learning