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Chatbot Comment Replies

by
Odoo
v 10.0 Third Party 1
Download for v 10.0 Deploy on Odoo.sh
Availability
Odoo Online
Odoo.sh
On Premise
Odoo Apps Dependencies • Blogs (website_blog)
• Discuss (mail)
• Website Builder (website)
• Website Live Chat (im_livechat)
Community Apps Dependencies
Technical Name im_chatbot_blog
LicenseAGPL-3
Websitehttps://odooengineering.com/
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Availability
Odoo Online
Odoo.sh
On Premise
Odoo Apps Dependencies • Blogs (website_blog)
• Discuss (mail)
• Website Builder (website)
• Website Live Chat (im_livechat)
Community Apps Dependencies
Technical Name im_chatbot_blog
LicenseAGPL-3
Websitehttps://odooengineering.com/

Chatbot Blog Post and Product Discussion Replies

An add-on feature for the existing Customer Service Chatbot module (included as a dependency).

Automatic Replies to Comments

  • Enable chatbot replies on blog post comments and product discussion comments in the shop.
  • The chatbot responds only if it can find a strong enough match to the comment from its training data (above the low confidence threshold defined for the chatbot).
  • Replies can be enabled for all comments or only for those containing specified phrases (using the * wildcard to define them).
Chatbot Blog Reply
Chatbot Product Discussion Reply

Technical Pre-requisites

This module requires the main Chatbot module (im_chatbot) to function properly.

External dependencies needed for this module to work:

  • chatterbot Python module
  • mongoDB installed on the same server instance (for storing chatbot conversation data)

Contact Us

  • Odoo Engineering
Email
Web Counter

Customer Service Chatbot

Installation

Prerequisites that you have to install for this module to work:

  • Install this python module in a usual way:
  • pip install chatterbot
  • and also make sure you have mongoDB installed on the same machine - mongoDB
  • sudo apt-get install mongo

Configuration

After you install the module, go to [[ Live Chat ]] >> Channels and enable the bot (as always on or only when there are no operators logged in).

  • Set the bot's name and 'low confidence' options, which determine how it will respond when it can't find a good match/response to a query.

Usage

Make it perfect, train the bot to learn to respond to queries you want.

  • Train the bot, by going to [[ Live Chat ]] >> Chatbot >> Training
  • Set notify phrases, which trigger E-mail nofitications, by clicking [[ Live Chat ]] >> Chatbot >> Training
  • Train it from a Twitter account data, by entering the twitter Oauth information on [[ Live Chat ]] >> Chatbot >> Twitter Settings

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by
Brad
on 1/4/21, 2:18 AM

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by
Brad
on 10/5/20, 2:15 AM

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