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Auto Bargaining System

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dc.contributor.author Firoze, A. Ghan
dc.date.accessioned 2020-06-01T15:37:11Z
dc.date.available 2020-06-01T15:37:11Z
dc.date.issued 2019
dc.identifier.citation Firoze, A. Ghan (2019) Auto Bargaining System. BSc. Dissertation Informatics Institute of Technology en_US
dc.identifier.other 2015221
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/459
dc.description.abstract Bargaining is a key phenomenon in any business but has been missing in the e-commerce world. Online shopping has been increasing over the years and still lacks a realistic experience compared to in-store shopping. Attempts have been made to provide bargaining ability online but have not been employed mainly due to extreme costs. Considering this problem, this project aims to analyse the gravity of the problem; and to develop an effective solution. In order to develop an effective solution, psychological factors which depict the buyer‟s intention of purchase and existing, unemployed systems were evaluated followed up by validation through business and IT experts. The results of this evaluation and validation made it evident that the problem is of more gravity especially in Sri Lanka and needs to be addressed with minimum investment. Therefore, this project formulated an automated bargaining system which provides the best price to the most prospective buyer based on the buyer‟s online behaviour with no human intervention required thus, a great reduction in investment en_US
dc.subject Online shopping en_US
dc.subject User Behaviour en_US
dc.subject Automated E-negotiation en_US
dc.subject Rule-Learning en_US
dc.title Auto Bargaining System en_US
dc.type Thesis en_US


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