Open AccessA Framework to Enhance Performance of E-Shopping
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f1118.0886s19
Subject(s) - computer science , overhead (engineering) , the internet , constraint (computer aided design) , greedy algorithm , internet shopping , operations research , distributed computing , world wide web , algorithm , engineering , operating system , mechanical engineering
E-shopping is a trend in present scenario. Today the shopping in internet is become a culture and habit of people. Lot of E-commerce merchants are available in market. But the online shopping system suffers a lot with various issues like performance overhead, slow response, late and error prone deliveries. Hence it is essential to enhance the performance on the online shopping system. In this paper we propose a model “Shop IT” to address the above issues. It uses greedy based “Route Mapper Algorithm” to find the shortest route between the cities and constraint based “Optimum Grouping” algorithm to group the items in the appropriate cluster. The proposed algorithm solves the performance issues.