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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

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Published Paper Details
Paper Title: Payment Date Prediction
Authors Name: Rithika Pullela , Krishnasri Vaddepally
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IJRTI_186453
Published Paper Id: IJRTI2305034
Published In: Volume 8 Issue 5, May-2023
DOI:
Abstract: The end users of "payment date prediction" are banks and customers of banks who use credit cards. This application extracts earlier paid credit card bills and predicts the date of paying credit card bills for upcoming months. This helps the bankers to generate money consequently. Sometimes customers ignore or neglect to pay their credit card bills. This can be overcome by the feature reminders. The customers get reminders every month on a specific date, as the bank analyzes the date of payments of previous months of customers. If customers pay their credit card bills on time the bank can allow for an increase in credit card limit. If customers do not pay bills on time the bank decreases the credit card limit. As the date of payments is being analyzed by banks, this helps the bank to bifurcate customers easily and take action accordingly.
Keywords: Credit Card Bills,Reminders,Credit Card Limit,Payments,Banks
Cite Article: "Payment Date Prediction", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.224 - 228, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305034.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2305034
Registration ID:186453
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 224 - 228
Country: Nizamabad, Telangana, India
Research Area: Information Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2305034
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2305034
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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