Abstract:
With the rapid popularity and increased usage of the Internet, online marketing has become a way of selling and purchasing goods through the Internet. This lead to development of various websites dedicated to online marketing and new techniques to support customers and information sharing became a major area of this.
The main objective of this thesis is to propose an efficient way of providing information to clients than the existing systems like shopping charts, operators, etc. There are well known A l techniques and successful Chat bots and during the initial phase a research was carried out to get an understanding on those techniques and how they are used in the well know Chat bots.
The aim of this Chat bot is to analyze the user queries and to provide successful answers. Analysis is done by matching customer queries with sample queries and then extracting the information from those queries, which will be used to create the answers. The information extracted wall be coupled with the predetermined answers and will be presented to the customers. This is also designed in such a way to capture certain information to increase its scope and efficiency.
The proposed Chat bot is in the primary stage and it is limited only for a simple bookshop scenario. Still this can be used for any kind of online shopping with a proper knowledge base attached to it. The proposed chat bot works as a solution provider for single customer queries, and can be improved with some advanced matching mechanisms to maintain a dialog with the customer, which will be much more user friendly and efficient.
