Mall Loyalty : Application Built On Ai System

Authors

  • Prof. Dipali Pawar  Assistant Professor, Department of Computer Engineering, Zeal College of Engineering and Research, Pune, Maharashtra, India
  • Snehit Shinde  BE Student, Department of Computer Engineering, Zeal College of Engineering and Research, Pune, Maharashtra, India
  • Aditya Ingawale  BE Student, Department of Computer Engineering, Zeal College of Engineering and Research, Pune, Maharashtra, India
  • Harshal Katkar  BE Student, Department of Computer Engineering, Zeal College of Engineering and Research, Pune, Maharashtra, India
  • Viren Nivangune  BE Student, Department of Computer Engineering, Zeal College of Engineering and Research, Pune, Maharashtra, India

DOI:

https://doi.org/10.32628/IJSRST52310395

Keywords:

ML, dataset, Training Module

Abstract

Every time we visit a mall, everyone has different purposes. Some visit for shopping of clothes, footwear, or even groceries while few visit for the purpose of eating in the food court. With the increase in the number of people who are moving towards online shopping, there is a need for a system that increases the footfall of people in shopping malls. Hence, we propose a system that works towards achieving this very goal. The project aims at creating a new kind of user experience for customers visiting shopping malls. As customers will be offered personalized service they will get attracted to the mall.

References

  1. Ion Stoica ,DawsSong,Raluca Ada Popa, David Patterson , Michael W. Mahoney, Randy Katz, Anthony D.Joseph ,Michael Jordan, Joseph M. Hellerstein, Joseph Gonzalez , Ken Goldberg, Ali Ghodsi, David Culler, Pieter Abbeel: "A Berkeley View of Systems Challenges for AI" 15 Dec 2017
  2. FlorianSchroff (fschroff@google.com Google Inc.) Dmitry Kalenichenko (dkalenichenko@google.com Google Inc. James Philbin (jphilbin@google.com Google Inc.): "FaceNet: A Uniļ¬ed Embedding for Face Recognition and Clustering" 17 Jun 2015.
  3. Embedded Linux Primer: A Practical, Real-World ApproachBy Christopher Hallinan
  4. Sanjeev Prashar ,HarvinderSingh,T. Sai Vijay. Predicting Indian Shoppers’ Malls Loyalty Behaviour.
  5. Beom-Soo Shim, Yong-Moo Suh. CRM Strategies for A Small-Sized Online Shopping Mall Based on Association Rules and Sequential Patterns.
  6. Ogechi Adeola , Isaiah Adisa , AdenikeMoradeyoandOserereIbelegbu. Mall Environment and Mall Value as Antecedents of Customer Loyalty in Shopping Malls
  7. Evaluating Indoor Positioning Systems in a Shopping Mall: The Lessons Learned From the IPIN 2018 Competition

International Journal of Scientific Research in Science and Technology

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Published

2023-06-30

Issue

Volume 10, Issue 3, May-June-2023

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prof. Dipali Pawar, Snehit Shinde, Aditya Ingawale, Harshal Katkar, Viren Nivangune "Mall Loyalty : Application Built On Ai System" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 10, Issue 3, pp.459-463, May-June-2023. Available at doi : https://doi.org/10.32628/IJSRST52310395