1. A STORY ON CONVERSATIONAL CHATBOT SUBHAJIT SENGUPTA & SHARIQ SHAIKH
Can We Chat on Kanban
A STORY ON CONVERSATIONAL CHATBOT BY
SUBHAJIT SENGUPTA & SHARIQ SHAIKH

2. WHO ARE WE?
WHAT WE DO?
WHAT STORY?
©Digité

3. OUR JOURNEY WITH CHATBOT
VISION
EXECUTION
Knowledge Base
Dialogflow
PLAN & DESIGN
DEPLOYMENT
Chatbot
My Chatbot
Wireframe
Knowledge Base
Google Web API
Explore Platforms
Application
Explore Plug-ins
Slack
Skype
©Digité

4. “By 2020, the average person will have more conversations a day with bots than they do with their spouse”
L. HEATHER PEMBERTON
GARTNER
©Digité

5. CHATBOT TYPES THE HELPER THE SOLVER THE TEACHER THE SELLER ©Digité
The Customer Service Chatbot like KLM’s chatbot
The Utility Chatbot
The Conversational Commerce Chatbot
The Information Provider Chatbot
©Digité

6. <<Video/GIF on SwiftKanban Knowledge Base>>
©Digité

7. KNOWLEDGE BASE ©Digité ©Digité COMMENTS & FEEDBACK WORDPRESS BASED
POWERFUL SEARCH
FAQ
AUTO-BUILD
DYNAMIC TOC
KNOWLEDGE BASE
GOOGLE ANALYTICS
DEVICE FRIENDLY
CUSTOMER SUPPORT
PERSONA BASED
APPLICATION
TASK ORIENTED
©Digité
©Digité

8. 01 02 03 04 05 06 PoC ©Digité RESEARCH FRONTEND BACKEND STRUCTURE
Explore Platforms & Plug-ins like Brainshop AI Chat
Brainshop AI Chat
My Chatbot
My Chatbot 04 05 06
BACKEND
STRUCTURE
TESTING
Training, Re-mapping
DIalogflow
Intent, Entities, Training Phrases, Integration
©Digité

9. WHY DIALOGFLOW No installation required, cloud based
Easy to understand concepts, Intuitive UI
Fast prototyping of chatbots, inbuilt 'try-it'
Very less training time
Integration with all major platforms
SmallTalk for common conversations
Powered by Google's strong NLU algorithms
©Digité

10. BACKBONE OF DIALOGFLOW
AGENT : Natural Language Understanding (NLU) modules
INTENT: Maps user input to responses
ENTITY: Identifies and extracts useful data from natural language inputs
CONTEXT: Represents the current state of a user's request and allows your agent to carry information from one intent to another
FULFILLMENT: Fulfillment is code that's deployed as a webhook that lets your Dialogflow
agent call business logic on intent-by-intent basis
©Digité

11. ©Digité

12. AGENT
A module which can be included in your app, website, product, or service and translate text or spoken user requests into actionable data.
This translation occurs when a user's utterance matches an intent within your agent.
©Digité

13. BACKEND
INTERFACES
WordPress Plugin
Dialogflow
©Digité
©Digité

14. ENTITY System Entity Custom Entity Custom Entity
Entities pick out specific pieces of information that users mention.
System Entity
Custom Entity
Custom Entity
@sys.date-time
@sys.unit-area
@sys.address
@Kanaban.card
@Kanban.board
@Team_Dynamics
©Digité

15. ©Digité

16. INTENT
In each intent, you define examples of user utterances that can trigger the intent, what to extract from the utterance, and how to respond.
Training
Phrase
Actions
&
Parameters
Response
©Digité

17. Matched Utterances
Matched Entities
Response
©Digité

18. ©Digité

19. DEFAULT FALL BACK INTENT
I do not know the answer! What do I do?
Respond to user if there's no matching intent for the query
How can we use fallback intent for better User Experience?
The idea of Google Web Search API
©Digité

20. SMALL TALK How are you! Custom Entity I’m so excited! Custom Entity
You're beautiful
I’m so excited!
Custom Entity
You're beautiful
You’re beautiful!
You're beautiful
Who are you!
©Digité

21. INTEGRATION Integration with Google Assistant, Slack,
Facebook Messenger, Twitter. Skype, Skype for Business, Amazon Alexa, Microsoft Cortana and so on.  
SUBHAJIT
©Digité

22. ANALYTICS Usage data: Number of sessions and queries per session.
NLU data: Most frequently used intents and exit percentages.
©Digité

23. ROADMAP 01 02 03 04 Slack & Skype Actionable Test Automation RASA
SUBHAJIT
Slack & Skype 02
Actionable 03
Test Automation
RASA 04
©Digité

24. https://dialogflow.com/docs
READ
SUBHAJIT
WATCH
CONTACT /
©Digité

25. THANK YOU