INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
Due to this, Ecommerce business does not directly rely on price prediction
systems since even a wrong prediction of a single product can result in business
losses. 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
be managed to maintain the accuracy and reliability of the model. In our chatbot
system we have tried to resolve some of such issues.
E-commerce websites today apply various AI techniques to determine most liked
products or most sold products which eventually are calculated to provide an
effortless search for customers shopping on their website. But at times when the
best products are sold at high prices, customers have to compromise on their
product.
"PRICE NEGOTIATING CHATBOT WITH TEXT AND VOICE ON E-COMMERCE WEBSITE", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.f103-f110, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403513.pdf
Downloads:
00029
ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Facebook Twitter Instagram LinkedIn