Contents
Price Negotiator Ecommerce ChatBot System
Abstract:
The creation of an agent-based automated negotiation system for e-commerce is the main goal of the project “Price Negotiator Ecommerce ChatBot System.” By offering a flexible pricing mechanism, this system seeks to maximize gains for both buyers and sellers. The project uses intelligent agent technology to investigate the idea of automated negotiation in e-commerce. The three primary methods of automated negotiation—decision theory, game theory, and negotiation analysis—are given a brief overview. The project pinpoints industry difficulties with ontology, agent tactics, and communication protocols. Through the representation of user preferences and the facilitation of logical negotiation options, the integration of decision analysis and multi-attribute utility theory supports electronic negotiations. Automated online selling, consumer price negotiation, the creation of payment links, and secure credit card payment processing are some of the system’s benefits. The system does not monitor stock levels, though, and needs a live internet connection.
Introduction:
In e-commerce, automated negotiation is a promising strategy because it allows for flexible pricing and maximizes advantages for both buyers and sellers. Automated negotiation is made possible by intelligent agent technology. In this project, the idea of automated negotiation in e-commerce is investigated, and a summary of various methodologies—including decision theory, game theory, and negotiation analysis—is given. The project highlights the value of ontology, agent strategies, and communication protocols while acknowledging the difficulties in the field. The project supports electronic negotiations by utilizing decision analysis and multi-attribute utility theory and is motivated by successful human negotiation experiences.
Objective:
The primary goal of this project is to create an e-commerce chatbot price negotiator system that streamlines the exchange of offers between buyers and sellers. The system aims to offer a platform where customers can bargain with an AI bot about the cost of products. After a successful negotiation, the system creates a payment link with the agreed-upon price and emails it to the customer. The system also supports automated online selling for shops and credit card payments, sending email confirmations of successful payments.
Project Details:
The price negotiator e-commerce chatbot system combines chatbot functionality with agent-based automated negotiation techniques. Customers can converse with the AI bot and bargain for lower prices on goods based on their preferences. The system creates a payment link with the agreed-upon price after a negotiation is concluded and emails it to the customer. This streamlines the payment process and guarantees a smooth transaction. Additionally, the system accepts credit card payments and sends an email confirmation after a successful transaction.
Advantages:
- Automated Selling: The system helps shops automate their online selling process, enabling efficient transactions with consumers.
- Price Negotiation: Consumers have the ability to negotiate product prices with the AI bot, providing a personalized and flexible shopping experience.
- Secure Payment Processing: The system supports credit card payments, ensuring secure transactions between buyers and sellers. Email confirmation is provided to both parties upon successful payment.
Conclusion:
An innovative approach to automated e-commerce negotiation is presented by the project “Price Negotiator Ecommerce ChatBot System.” The system enables customers to haggle over product prices and streamlines transactions by creating payment links by utilizing intelligent agent technology. The project highlights the value of multi-attribute utility theory and decision analysis in supporting electronic negotiations. The system has benefits like email confirmation, price negotiation, automated selling, and secure payment processing. However, it doesn’t monitor stock levels and needs a live internet connection. Overall, the project makes a significant contribution to improving e-commerce negotiation techniques and the shopping experience for both buyers and sellers.
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