Claims:CLAIMS

1. Machine learning based Price negotiator E-commerce chatbot system consist of ML, E-Commerce, Chat- bot, Mediator, AI, Merchant, Natural- Language. Sensor, Aisle etc.,

2. Machine learning based Price negotiator E-commerce chatbot system of claim 1, wherein said that One such AI conversation bot is described in this study.

3. Machine learning based Price negotiator E-commerce chatbot system of claim 1, wherein said The chat bot helps you buy a product at a discounted price.

4. Machine learning based Price negotiator E-commerce chatbot system of claim 1, wherein said various automated negotiation agents have been created.
5. Machine learning based Price negotiator E-commerce chatbot system of claim 1, wherein said that to help users find products online within their budget, we created an E Negotiator chatbot for commercial websites.

, Description:Descriptions:

In the last decade, computer science has made significant advances, with artificial intelligence appearing to be the most notable. Instead of imposing a fixed price on online shoppers, we will create a Chat Bot that allows buyers and sellers to set their own prices for products using artificial intelligence technologies such as natural language-based automatic negotiation. Small-scale online merchants may see it as an ideal and efficient way to compete in a crowded market. When it comes to b2C, e-commerce is the most prominent commercial application. The project team's goal is to create an artificially intelligent chat bot that will be used to negotiate prices with various customers on an online market. It also provides a catalogue of items that can be purchased at the online store via a live chat feature to the customer. Negotiating models can learn from past experiences, think, and arrive at a reasonable price range for the customer. The online application, which is written in C#, is built with Visual Studio and Asp.Net. The proposed system can be used by both administrators and end users in its current form. Before they can access the programme, administrators must first log in with their credentials. An administrator must first log in successfully in order to access all modules and perform/manage any task. The ability to add new items and view their details, as well as view order details and user information, are among the administrative functions. A person can access the system after successfully logging in. If a user believes a product is too expensive or out of his or her price range, he or she can look at alternative products and communicate with the AI bot to negotiate a lower price. After agreeing on a price, the consumer can either buy the product directly from the website or have the agreed-upon price emailed to them so they can pay for it online. This technique saves e-commerce merchants millions of dollars by reducing the use of online targeted advertising.

Conclusions:

This resulted in the development of a pricing bargaining chatbot powered by artificial intelligence is a web application on the Asp.Net and the C# language. The website-based chatbot's goal is to improve user interaction with an e-commerce site and reduce cart abandonment by providing automated responses. As a result, it is more likely than a chat bot with a fixed set of responses to make insightful comments and offer reasonable pricing recommendations for the products being discussed. Because the product database is distinct, simply adding newer products to a category does not necessitate modifying previously saved chatbot responses. This is especially useful for businesses with a large number of products.

DRAWINGS: