PRICE NEGOTIATING CHATBOT WITN TEXT AND VOICE ON E-COMMERCE WEBSITE

Abstract

In recent years online shopping has gained a huge boom. With this increase, most of the features of online
shopping are developed but some features like negotiating with shopkeepers are not available which is
sometimes possible in offline purchasing. We have implemented a chatbot for negotiating on the
products. The chatbot interacts with customers and assists them to get a satisfactory price on product(s).
With such a system, which impacts on major areas of online shopping there are possibilities in which
either the seller of the product or customer’s budget gets compromised. To avoid such situations we have
developed an algorithm which works along with prediction of old available data to provide a price. Price
prediction has less accuracy at times because either irrelevant features/attributes of data are used or some
algorithms are not suitable for a particular dataset. Some models also fail when data scales or some
feature is unavailable after time on which model prediction was dependent. Then those changes are to
managed to maintain the accuracy and reliability of the model. In our chatbot system we have tried to
resolve some of such issues