Designing an Expert System for Online Grocery Shopping Store

Authors

  • Sayli Patil  Department of Computer Engineering, Datta Meghe College of Engineering, Navi Mumbai, Maharashtra, India
  • Anisha Soni  Department of Computer Engineering, Datta Meghe College of Engineering, Navi Mumbai, Maharashtra, India
  • Shivani Pawar  Department of Computer Engineering, Datta Meghe College of Engineering, Navi Mumbai, Maharashtra, India
  • Prof. Sonal Chaudhari  Department of Computer Engineering, Datta Meghe College of Engineering, Navi Mumbai, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT206285

Keywords:

Agrofresh, Online Grocery Store

Abstract

In this digital era consumers prefer online shopping to save time. But in their busy schedules it can be time-consuming to choose items as per their requirements. The area of our project is to create a user friendly and easily available application for purchasing mechanism. This application will be easily available on the internet for users to download it and then install it. To start, offer only the most popular grocery items, like milk and bread, and as the business expands, so can your product line. The operating format for the app would be very easy to establish. Customers would simply log on to the app, select the items they wish to purchase, enter payment and shipping information and wait for their groceries. We propose the solution using an application designed on Android Operating System platform. We choose this platform base since Google’s Android is one of the foremost reasons of this mobile revolution.

References

  1. He, Y. C., Wang, X. Z., He, Y. L., Zhao, S. L., & Li, W. B. (2016). Exact and approximate algorithms for discounted {0-1} knapsack problem. Information Sciences, 369, 634-647.
  2. Journal of Internet and e-Business Studies http://ibimapublishing.com/articles/JIEBS/2018/ 931248/ Vol. 2018 (2018), Article ID 931248, 13 pages DOI: 10.5171/2018. 931248
  3. An Exploratory Study on Consumer Online Grocery shopping ttp://www.msruas.ac.in/pdf_files/Publications/M CJournals/August2016/Paper2.pdfChandini A. V. and Nagendra Faculty of Management and Commerce, Ramaiah University of Applied Science,Banglore.
  4. Lv, J., Wang, X., Huang, M., Cheng, H., & Li, F. (2016). Solving 0-1 knapsack problem by greedy degree and expectation efficiency. Applied Soft Computing, 41, 94-103.
  5. Konig, D., Lohrey, M., & Zetzsche, G. (2016). Knapsack and subset sum problems in nilpotent, polycyclic, and co-contextfree groups. Algebra and Computer Science, 677, 138-153.
  6. Natarajan, T., Balasubramanian, S. A., & Kasilingam, D. L. (2017). Understanding the intention to use mobile shopping applications and its influence on price sensitivity. Journal of Retailing and Consumer Services, 37, 8-22.
  7. Shanbhag, S., Nair, S., Nai, N., & Shaikh, B. (2016). Intelligent Shopping Agent.
  8. Ingham, J., Cadieux, J., & Berrada, A. M. (2015). e-Shopping acceptance: A qualitative and meta-analytic review. Information & Management, 52(1), 44-60.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2020-04-30

Issue

Volume 6, Issue 2, March-April-2020

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Sayli Patil, Anisha Soni, Shivani Pawar, Prof. Sonal Chaudhari, " Designing an Expert System for Online Grocery Shopping Store, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 2, pp.345-350, March-April-2020. Available at doi : https://doi.org/10.32628/CSEIT206285