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Enterprise AI

Building Smart FAQ system for Enterprises

Dr. Jagreet Kaur Gill | 01 August 2024

Intelligent FAQ Software

Introduction

To develop an efficient smart FAQ system for the Akira.ai website, which can make it simple for the customers to search about the products and services provided by the company, which can save the customers and the organization time from contacting them to reply to their queries. The system can give accurate and fast answers to the Customer's questions as compared to the traditional systems.

We are providing a chatbot that provides intelligent search services for websites and applications. By using this service, employees can easily find the content they are looking for even when our data is saved across different locations and discover the correct answers to our questions whenever we need them.

Challenges faced by Customer

Problems

  • Clients and customers have a lot on their plates. They don't have the time to go through web pages or posts to learn about who you are, what you provide, and how much your goods or services cost. 
  • They want to know straight away if you're the appropriate person for them. 

Consequences

  • Lack of information
  • Decrease in the visit of Customers on the website

Solution for the Problem

The problem was to find the right information at the right time without getting delayed. We have developed a chatbot as a solution that helps the users to query their questions on the chatbot and get their answers on the spot. The chatbot is integrated into the website, which contains all the possible information related to the website. 

The following steps will explain the flow of the solution.

  • The faq (questions and answers) data is stored in the s3 bucket. 
  • The stored data is indexed with the help of Kendra. 
  • Whenever a user sends the query, Kendra will help to find the search index of the document and find the answer to the query asked by the user. Kendra will return the answer to the lex bot.
  • A lex bot will display the answer to the user query.
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