Abstract -

This paper describes an e-commerce website based AI chat bot. This chat bot can make it easier to interact and negotiate the price within the e-commerce website. The chat bot understands and converses with the user in simple language. This chat bot is integrated to an online market site. This website has a variety of products across the aisle. The chat bot helps you to purchase a product which is suitable for you at a negotiated price. This is especially helpful when you don’t have sufficient funds for the product you planning to purchase. Its function basically like a third party mediator between the buyer and the seller.

INTRODUCTION

In the age of artificial intelligence and deep learning, Computer Science has had a lot of advancements in the past decade, and AI seems to definitely stands out distinguished among them. A chat bot is an artificial intelligence (AI) software that can simulate a natural language conversation (or chat) with a user via messaging applications, websites and mobile apps, or by telephone [1]. This project is aimed to implement a Chat Bot using tools that expose artificial intelligence methods such as natural language based automated negotiation that can give a flexible price instead of a fixed price for a product while shopping online, and can maximize the pay-offs of both buyers and sellers. It can be seen as an ideal and efficient mechanism for small scale online sellers with stiff competition. 

RELATED WORK

was one of the first chat bots and the brain behind it was Joseph Weizmann. Eliza's key method of operation involves the recognition of cue words or phrases in the input, and the output of corresponding preprepared or pre-programmed responses that can move the conversation forward in an apparently meaningful way[4]. Thus the key technique here—which characterises a program as a chat bot rather than as a serious natural language processing system—is the production of responses that are sufficiently vague and non-specific that they can be understood as "intelligent" in a wide range of conversational contexts. [1] More recent notable programs include A.L.I.C.E.[5], Jabberwacky and D.U.D.E. While ELIZA and PARRY[7] were used exclusively to simulate typed conversation, many chatter bots now include functional features such as games and web searching abilities. Most of the existing virtual agents, also known as the chat bots, are mainly for entertainment and research purpose. Successful and Award winning chat bots like A.L.I.C.E and Clever Bot focus on generic responses to entertain the end user. Some companies like IKEA, Lloyds Banking Group and Royal Bank of Scotland are using automated online assistants as first point of contact.

CONCEPT DESCRIPTION

E-commerce is an ever-evolving ecosystem with more than 10,75,000 merchants worldwide across several commodities. It’s primary unique selling proposition in the e-commerce ecosystem is that it is easy to operate and feature rich admin panel which is helpful for easily setting up an e-commerce store and effectively monitoring key store metrics to enhance purchase rates. However, an easy to use website doesn’t guarantee sales. E-commerce ventures always get subjected to a lot of competition from other sellers. Even after crossing the initial inflection point, e-commerce stores must consistently look to reduce shopping cart abandonment and increasing visitor to customer conversion for survival in the online market.

E-COMMERCE DISCOUNT PROBLEM

Personal experience made us believe that discount offerings are one of the most efficient methods of abandoned cart recovery. Primarily, because the way ecommerce ecosystem is consistently training consumers to expect discounts all the time. If we check your own email inbox. We will find several promotional emails from various merchants that you earlier used or subscribed to in the past. However, providing discounts consistently might not be enough for small businesses.. Also, trying to recover abandoned carts through targeted discount emails might not be that effective. Customers might already buy a product from a competitor website rather than waiting for a discount email to pop, this also expose your discount strategy, making you more predictable.

PROPOSED SYSTEM

The web application is developed using Visual Studio with Asp .Net with C# as a programming language. Proposed system is accessed by two entities namely, Admin and User. Admin need to login with their valid login credentials first in order to access the application. After successful login, admin can access all the modules and perform/manage each task accurately. Admin can perform task such as adding new product with its details and viewing added product details, viewing order details and user details. User can login using valid login credentials in order to access the system. If the user feels the product to be out of his budget or overpriced than other websites he can view products and chat with the AI bot for price negotiation for a particular product after negotiation, user can buy the product from the website or email will be sent to the customer with the negotiated price to make online payment for the designated item, this system reduces the use of online targeted ads which costs millions of dollars to the e-commerce merchants.

CHAT-BOT

The chat bot utilises Rivescript, to fetch responses based on user input. Rivescript is a simple scripting language for giving intelligence to chat bots and other conversational entities. It's a plain text, line-based scripting language with goals of being simple to learn, quick to type, and easy to read and maintain. [11] The core implementation of the Rivescript[12] has the following major features: 1. Simple : Responses are coded in plain text file. No complicated syntax. 2. Powerful : It has a handful of rule that can be combined to build a fairly impressive chat bot. 3. Flexible : Rivescript follows the Unix philosophy: the core library is focused on rendering responses, while also leaving enough scope for extensibility by ways of custom modules and scripts. 4. Open Source : Rivescript is released in the MIT license, and are available on popular platforms such as Perl, Python, Javascript and even C#.[12] We will utilise the C#. The entire Interpreter runs on the client browser, with the responses stored in simple text files, with the extension '.rive'. These responses are essentially the "brain" of the bot. The basic syntax of Rivescript follows the convention where "+" denotes a trigger i.e. a user query or input whereas '-' denotes the chatbot response.

CONCLUSIONS

Thus we have implemented an AI based price negotiating chat bot which is a web application based on Asp .Net framework using C# programming language. The website based chat bot that attempts to improve user interaction with the E-Commerce website and reduce the abandonment of cart. The chat bot has a stored set of responses, but also takes dynamic user input into account and thus tends to provide relevant responses and suggests appropriate prices for the product. Since the product database is independent of the stored responses, newer products under the respective category can be easily added and removed and requires no modification of the stored chat bot responses needed. 

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