Chatbot enhances the efficiency of a website giving a better conversion rate for the business.
A customers can have a better hassle-free experience with easy location of the information being searched on the website.
Every Customer support, marketing and sales tool have started exploring chatbots to reduce human efforts.
The software can also be customized as per the requirement.
With about 75% of internet users have been engaging in these messaging platforms it has gained popularity over the years.
Various businesses have begun to realise the benefits associated with it and have integrated chatbot on their website. Managing your customers through this software can bring a better workflow in the business.
How to integrate chatbot in a website?
Integrate with just an embed code –
By just mere pasting code the chatbot can become live on your website.
A chatbot can be embedded anywhere inside your website. You can use an code snippet and add it to your page. Once you have the code on your website any changes made in the chatbot will automatically reflect on the bot instantly.
The code can also be replaced if the chatbot requires to be changed.
Every chatbot has a code snippet which is available on the publish section of the dashboard.
Every chatbot software comes with its own generic installation instructions. It usually goes like this:
- Copy the code snippet.
- Open your website code
- Paste the copied code either in </head> or </body> tag on all website pages.
- Push the code to live website.
- Test, it Chatbot has started appearing on your website.
- If not, contact the software provider or read the documentation properly.
Different languages to build a Chatbot –
If you don’t want to use any SaaS based Chatbots and pay monthly subscription fee, you can simply code your own chatbot using the following code languages.
How does Chatbots Work?
The chatbots work using 3 methods:
1. Pattern Matchers:
Bots use pattern matching to classify the text and produce a suitable response for the customers. A standard structure of these patterns is “Artificial Intelligence Markup Language” (AIML).
A simple pattern matching example:
<aiml version = “1.0.1” encoding = “UTf-8”?>
<pattern>WHAT IS MANGOSTEEN </pattern>
<template>Mangosteen is a fruit </templete>
<pattern>DO YOU KNOW WHO * IS</pattern>
The machine then gives and output:
Chatbot knows the answer only because his or her name is in the associated pattern. Similarly, chatbots respond to anything relating it to the associated patterns. But it can not go beyond the associated pattern. To take it to advanced level algorithms can help.
Algorithms are used to reduce the classifiers and generate a more manageable structure.
A unique pattern has to be created in the database to provide a suitable response. Computer scientists call it a “Reductionist” approach- in order to give a simplified solution, it reduces the problem.
we should expect a lot of sentences are given which are having a place with a specific class. With the new info sentence, each word is meant its event and is represented its shared trait and each class has relegated a score. The most elevated scored class is the well on the way to be related with the info sentence.
For example Sample Training set
“How are you doing?”
Few sample Input sentence classification:
input: “Hello good morning”
term: “hello” (no matches)
Term: “good” (class: greeting)
term: “morning” (class: greeting)
classification: greeting (score=2)
The score signifies which intent is most likely to the sentence but does not guarantee it is the perfect match. Highest score only provides the relativity base.
3. Artificial Neural Network
Neural Networks are a way of calculating the output from the input using weighted connections which are calculated from repeated iterations while training the data
Best chatbots for website:
- Flow Xo
- IBM Watson
- Microsoft Bot Framework
- Semantic Machines
Chatbots are not just a fancy item that a website shall possess, it’s becoming a necessity as more and more users nowadays are interested in self-service.
Team Effort. Everyone at BigRadar contributes to the blog.