Design and Development of Efficient Cost Saving Algorithms for Guiding Customer Purchasing Patterns in Modern Consumerism Scenario Using Fuzzy Logic System

Authors

  • Sonia Maria D'Souza  Research Centre, Department of CSE, Cambridge Institute of Technology (affiliated to VTU, Belagavi), Bangalore, Karnataka, India
  • Dr. K Satyanarayan Reddy  Research Centre, Department of CSE, Cambridge Institute of Technology (affiliated to VTU, Belagavi), Bangalore, Karnataka, India

DOI:

https://doi.org//10.32628/IJSRSET218127

Keywords:

Neurons, Fuzzy Logic System, QR Code, Bar Code, Servers, Database Systems, Images.

Abstract

This research deals with the development of a new architecture. The system deals with self-scanning and self-checkout of the consumer products. Here we have made an effort to take the system is supported by an app. The database is maintained in the local server and both mobile and the local host are connected to the same network. As a result, the user can use all the features of this system and send and receive the data which is required by the user. This framework takes care of taxations such as GST. The concept involves designing and implementation of a cost saving algorithms by using fuzzy logic system by using python programming for guiding customer purchasing patterns, retrieval and faster method of accessibility with respect to different patterns.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2021-02-28

Issue

Volume 8, Issue 1, January-February-2021

Section

Research Articles

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How to Cite

[1]
Sonia Maria D'Souza, Dr. K Satyanarayan Reddy, " Design and Development of Efficient Cost Saving Algorithms for Guiding Customer Purchasing Patterns in Modern Consumerism Scenario Using Fuzzy Logic System, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 8, Issue 1, pp.147-154, January-February-2021. Available at doi : https://doi.org/10.32628/IJSRSET218127