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1. E-COMMERCE PRICE NEGOTIATOR CHATBOT
Abstract
Negotiation could be a key component of real world transactions. From major business
deals to purchasing vegetables it acts jointly of key the weather of cracking the deal. E
commerce Chat Bot System that's Price Negotiator system made all shopping websites to try
to to works in efficient manner. This E commerce Chat Bot System project will help to extend
the net selling and negotiation supported price of the product. Customer satisfaction is that the
major concern for all the online based applications and chatbots helps them work this major
concern as customers don't need look ahead to customer executives to unravel their queries.
Chatbots can solve most of the customer queries without the interference of customer
executives. This project provides the overview of a AI Chatbot for price negotiation. The
proposed system is used for presenting personalized offers and costs. The negotiation also
inherits the benefits of previous activity of the user for implementation of proposed system.
Existing System
From the previous few years e-commerce and online shopping became more and more
popular. The e-commerce websites and online shopping stores are increasing day by day. rather
than visiting local stores or shopping malls many folks do an oversized amount of their daily
purchases online. this variation to e-commerce contains a major impact on the stationary and
retail trade. Some people are such a lot busy and ineffectual to travel out for shopping , Some
don’t prefer to shop in crowd. So instead they choose Online shopping system which could be
a virtual store on Internet where customer can browse the merchandise and choose the
merchandise of interest. Negotiation may be a combination of both, linguistic and reasoning
problems. Negotiation is that the process of exchange the best likelihood of satisfying the wants
of both parties. Negotiation is that the thing we waste our existence because everyone likes
doing it. People find it as an honest method to shop for a product in cheap price. The E-
Negotiator Chabot helps the user to unravel query and supply negotiation mode is dissatisfied
with the worth. Such system will help the users to freely interact with the software and upload
their product related queries and budget and find the response associated with the query.

2. Drawback in Existing System
 Absence of Human Touch: Negotiating prices involves personal interactions and
nuances that might be challenging for a chatbot to replicate. Customers may prefer
negotiating with a human who can understand their emotions and needs better.
 Trust Issues: Some customers might not trust a chatbot when negotiating prices. They
may prefer negotiating with a human as they might perceive the chatbot's responses as
scripted or less reliable.
 Emotional Intelligence: Negotiations often involve emotions. Understanding and
empathizing with a customer's emotions, which can influence negotiations, might be
challenging for a chatbot.
 Technical Errors: Chatbots might encounter technical glitches, leading to
misunderstandings or misinterpretations during negotiations, which could frustrate
customers.
Proposed System
 NLP Engine: NLP algorithms to comprehend and process user queries, understanding
intent and context during negotiations.
 Product Information: Comprehensive database of product details, pricing, and
relevant information.
 Negotiation Strategies: Incorporate negotiation strategies and algorithms to propose
counter-offers or discounts based on predefined rules or machine learning models.
 Dynamic Pricing: Real-time pricing adjustments or discounts based on factors like
stock availability, customer loyalty, or market trends.
Algorithm
 Intent Recognition: Use NLP techniques to determine the user's intent (e.g., negotiate
price, ask for discounts).
 Negotiation Strategy Selection: Determine the negotiation strategy based on historical
data, customer preferences, or predefined algorithms.
 Handling Complex Scenarios: Handle complex scenarios like multiple counter-offers,
bundling offers, etc.

3. Advantages
 Customer Insights: Gathers valuable data on customer preferences, negotiation
patterns, and pricing expectations, aiding in market analysis and decision-making.
 Operational Efficiency: Reduces the need for manual negotiation processes, freeing
up human resources for more complex tasks while the chatbot handles negotiations.
 Dynamic Pricing: Enables dynamic price adjustments based on real-time market
conditions, inventory levels, or customer behavior, optimizing revenue generation.
Software Specification
 Processor : I3 core processor
 Ram : 4 GB
 Hard disk : 500 GB
Software Specification
 Operating System : Windows 10 /11
 Frond End : Java
 Back End : Mysql Server
 IDE Tools : Eclipse