ABSTRAT:
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.
EXISTING SYSTEM :
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 pre- prepared 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], Jabber wacky[6] 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[8][9] 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
EXISTING SYSTEM DISADVANTAGES:
1.LESS ACCURACY
2. LOW EFFICIENCY
PROPOSED SYSTEM :
Personal experience made us believe that discount offerings are one of the most efficient methods of abandoned cart recovery. Primarily, because the way e- commerce 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 ADVANTAGES:
1.HIGH ACCURACY
2.HIGH EFFICIENCY
SYSTEM REQUIREMENTS
SOFTWARE REQUIREMENTS:
• Programming Language : Python
• Font End Technologies : TKInter/Web(HTML,CSS,JS)
• IDE : Jupyter/Spyder/VS Code
• Operating System : Windows 08/10
HARDWARE REQUIREMENTS:
Processor : Core I3
RAM Capacity : 2 GB
Hard Disk : 250 GB
Monitor : 15″ Color
Mouse : 2 or 3 Button Mouse
Key Board : Windows 08/10
