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© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Injae Kwak, Solutions Architect, AWS
September, 2017
Enriching Customer Experience
Using a Serverless Voice ChatBot
• Why ChatBots?
• Amazon Connect and Polly/Lex Integration
• Deep Dive on Lex/Lambda
• Demo (Voicemail Bot)
• Overview Architecture
Agenda
Conversational AIBetter Customer Experience Data Driven Decisions
What do we want?
Voice User Interface
Amazon Connect
Amazon Connect Features
OPEN PLATFORM
Your
S3 Storage
Your Data
Warehouse
Customer
Databases
Business
Intelligence
Workforce
ManagementAgent Data
AWS
Lambda
Call
Recordings
Metrics
Contact
Flows
CRM Contact
Control Panel
Amazon
Lex
Amazon
Polly
Amazon Connect Contact Flow (Polly)
<speak>
<p>
Hello! <break
time="500ms"/>
My name is Emma and I am
powered by
<emphasis
level="moderate">
Amazon Polly </emphasis>
</p>
</speak>
Amazon Polly Integration
User Amazon Connect Amazon Lex AWS LambdaAmazon Polly
Dials Into Service
“Hello” [TEXT]
“Hello.” [AUDIO]
Interaction Flow (Simple) Polly Integration
Amazon Connect Contact Flow (Lex)
Amazon Lex Integration
Amazon Lex Console
Amazon Lex Slots
Amazon Lex Console (Continued)
Slot Validation with Lambda
Amazon Lex and Lambda
User Amazon Connect Amazon Lex AWS LambdaAmazon Polly
“Start myName Bot” Detect UtterancePass Intent
“What is your name?”
“Bob”
“Slots:”
{
“Name”: “Bob”
}
Slot Validation (optional)
“Nice to meet you {Name}”
Interaction Flow (Detailed)
Voice Bot: 1300 317 415
Demo
Voice Bot: 1300 317 415
Demo
Data Analytics
Amazon Connect Lex + Lambda Controller
SNS (SMS)
Messaging Function
Database Function
S3
Athena + QuickSight S3 DynamoDB
User dials Amazon Connect
Voicemail Bot
SMS confirmation sent
Voicemail data storedAnalytics Dashboard
Users
Architecture
Thank You!
injakwak@amazon.com

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Enriching Customer Experience using a Serverless Voice Chatbot

Editor's Notes

  1. Research paper, Converse AI, Concepts apply Ent or Start up And lastly, something that is common on the AWS platform, which is to continually experiment and drive for more innovation through collecting data, analyzing, implement new change, iterate. And these concepts applies whether you are an enterprise or a small to medium business. Because a happy customer often means a higher revenue through repeated sales
  2. Lex: Natural Language Processing to pick up key words and work out the intent
  3. Example of a use case, where your customers try to call in and are unable to get through a long queue, or contacts after office hours. Instead of them having to wait, we can use a combination of IVR and our chatbot to give the customers an interactive way to leave a message for a follow up. Had to record this because of noise
  4. Will use Live console for demo (but leaving this screenshot for fallback)