id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-3810	Archana Ratnaparkhi	Retail Complaint Patterns: A Statistical and Predictive Analysis Framework	2025	7	.pdf	application/pdf	1959	110	40	I. METHODOLOGY A. DATA COLLECTION AND PREPROCESSING Dataset Loading: The dataset containing information about store complaints is loaded using pandas into a DataFrame called data. No. 8s (2025) 773 https://internationalpubls.com Retail Complaint Patterns: A Statistical and Predictive Analysis Framework 1 Archana Ratnaparkhi, 2Sandeep Kore, 3 Abhijit Chitre 1Electronics & Telecommunication Vishwakarma Institute of Information Technology Pune, India archana.ratnaparakhi@viit.ac.in 2Mechanical Enggineering Vishwakarma Institute of Information Technology Pune, India sandeep.kore@viit.ac.in 3Electronics & Telecommunication Vishwakarma Institute of Information Technology Pune, India abhijit.chitre@viit.ac.in Article History: Received: 08-11-2024 Revised:15-12-2024 Accepted:02-01-2025 Abstract: Customer complaints provide essential insights for improving service quality and customer satisfaction in retail.	cache/cana-3810.pdf	txt/cana-3810.txt
