Personalized Offers in Local Shops Using Client-Server"

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 5

Abstract

Abstract: Everybody loves shopping, in one way or the other. Some prefer clothes, while others may spend hours, searching for that perfect gadget. Shopping uplifts mood, nobody is unhappy after they have bought something that they like. Not so quite recent boom in online shopping portals is the result of the same mindset, i.e. shopping makes people happy, so the experience should be made effortless, secure and accessible to almost everybody with an internet connection. It isn't uncommon to crack a more than decent deal online, using their coupons and discount structure. As a result, the brick-n-mortar stores are facing a very stiff competition, inattracting customers, in developing countries like India, where the public is very cost conscious.This recent boom in online shopping portals has resulted in a sizeable number of small shops going out of business. They cannot compete with online mega stores with their heavy discounts and frequent deals. It becomes difficult tokeep track and manually manage deals, every now and then. They do not have a huge sale amount to offer uniform deals on every item available, nor do they have the man power to track every detail of units sold etc. Our project aims to deal with this issue, and subsequently provide the small businessmen, a tool to manage their merchandise, and the shoppers to have a seamless experience while shopping. The following sections describe the structure of our project, and provide explanations and results wherever applicable. The introduction section lists the reasons why we felt that this project was necessary. It also contains the outline of the structure of theprogram. The methodology section describes the working structure, and the communication methods. The result section provides a window to the results and screenshots of a prototype model.

Authors and Affiliations

Aritra kumar, Kuntal Biswas

Keywords

Related Articles

Artificially Intelligent Investment Risk Calculation system based on Distributed Data Mining

Abstract:- In the present days of e-commerce and social engineering the use of artificial intelligent system and data mining is one of the most relevant issue. Several investment sector giants use highly developed data m...

 lntrusion Detection System Using GA

 Abstract: Intrusion detection has become an essential component of computer security in recent years so many technologies have been developed to protect our system or network from intruders such as antivirus, firew...

 Unique Identity / Unique Human Identity / Unique WorldIdentity / Unique Citizen Identity / Human Identity / CitizenIdentity – Number

 Abstract: Unique Identity for every human and non-human entity on the earth is the crucial issue for the timebeing. Unique Identity means assigning numeric identity number to every human aged greater or equal to 0...

 Cloud Computing: Environment of Next Generation Technology

 Abstract: Cloud computing is the convergence of virtualization, Distributed Applications, Grid, Maturity of enterprise software application and enterprise IT Management. It is a tremendously attractive technology a...

 Fuzzy Logic based Individual Crop Advisory System based on Weather Input Data

Abstract: Weather has the most significant influence on agriculture. Various weather phenomenon such as cloudiness, precipitation, temperature, and wind have significant influence on agri-management decisions,management...

Download PDF file
  • EP ID EP123353
  • DOI -
  • Views 87
  • Downloads 0

How To Cite

Aritra kumar, Kuntal Biswas (2016). Personalized Offers in Local Shops Using Client-Server". IOSR Journals (IOSR Journal of Computer Engineering), 18(5), 54-57. https://europub.co.uk/articles/-A-123353