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Conversational Commerce
Prof. Bala Iyer
12/5/16
@BalaIyer
1
The fourth industrial revolution
• The First Industrial Revolution used steam power to mechanize
production.
• The Second used electric power to create mass production.
• The Third used electronics and information technology to automate
production.
• Fourth. It is characterized by a fusion of technologies that is blurring
the lines between the physical, digital, and biological spheres–
Professor Klaus Schwab
2
What is conversational commerce?
• Conversational commerce involves users interacting with businesses
through media and chat apps like Facebook Messenger, WeChat and
Talk. It is a term coined by Chris Messina.
• Uses AI to make interactions meaningful and productive.
3
New Stack
Command Driven (DOS, Unix)
Apps Layer (AppStore, GooglePlay)
Web Browser (IE, Netscape, Mozilla)
Graphical User Interface (Windows, Xwindows)
Conversational Layer (bots, machine learning & messaging)
4
Social media started the conversation
5
6
7
Users are interacting with brands
• “I don’t know anyone who likes calling a business. And no one wants
to have to install a new app for every business or service that they
interact with. We think you should be able to message a business, in
the same way you would message a friend.” — Mark Zuckerberg at F8
in 2016.
8
It begins with the smartphone
• As more and more people adopt smartphones and tablets as their primary gateway to the online world,
these lightweight, data-friendly chat apps have become portals to news, services and of course, commerce.
9
2.15 billion smartphones in 2016
eMarketer
Adoption
• Today, about 2.5 billion people have signed up for at least one mobile
messaging app and, according to a study by the advisory firm
Activate, that number could reach 3.6 billion by 2018. That’s 90
percent of the internet-connected
• Apps like Facebook Messenger, WeChat, Tango and Kik
10
Generation next
• ...this rising generation of consumers value experiences that are
quick, easy and suit an on-the-go lifestyle. By building commerce
opportunities into the platform where people are already holding
conversations, you eliminate a significant barrier between the
consumer and the brand.
11
Facebook and Uber
12
Messenger and KLM
13
Shopping
14
Operator
15
Alexa, order me a pizza!
16
Google Assistant
17
Siri to Viv
• Virtual assistant
• Speech recognition
• Open to training
18
Magic
19
20
Core idea
• Algorithms (AI) + Data  Sense making  Decisions
• Machine learning, expert systems,
• Data sources: IoT, transaction data, public data, third-party data
21
Underlying engines
• Artificial Narrow Intelligence
• Artificial General Intelligence
• Artificial Super Intelligence
22
23
24
25
26
Platform Bot Companies
• PAT.AI – PAT.AI looks to solve NLU, Natural Language Understanding. You could add pat.ai
to your bot to gain NLU functionality. For more, check out http://pat.ai.
• API.AI – This company/product allows you to provide an integration layer into your bot
messenger platform architecture. You could add NLP capability or integrate with other
services. For more, check out http://api.ai.
• ANGEL.AI – Angel.ai provides for natural language search specifically for commerce. The
technology pulls out the actionable intent to drive the conversation forward. For more,
check out http://angel.ai.
• Houndify – Houndify seems super interesting because you can search and customize one
of their 100+ public domains. But where some of the interesting power in this platform
lies is in setting up a private domain. For more check out http://houndify.com.
• Viv – Viv is an AI platform that enables developers to add an intelligent messaging
interface to their existing apps and systems. This one seems interesting. For more
see http://viv.ai.
27
28
Ecosystem Map of Chat Bots
What should companies do?
• Chose a platform
• Run strategic experiments
• Look for innovative users in other settings
• Pilot bots with your customers
29
Risks
• Unintended consequences
• Regulations
• Security and privacy
30

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Conversational commerce

  • 1. Conversational Commerce Prof. Bala Iyer 12/5/16 @BalaIyer 1
  • 2. The fourth industrial revolution • The First Industrial Revolution used steam power to mechanize production. • The Second used electric power to create mass production. • The Third used electronics and information technology to automate production. • Fourth. It is characterized by a fusion of technologies that is blurring the lines between the physical, digital, and biological spheres– Professor Klaus Schwab 2
  • 3. What is conversational commerce? • Conversational commerce involves users interacting with businesses through media and chat apps like Facebook Messenger, WeChat and Talk. It is a term coined by Chris Messina. • Uses AI to make interactions meaningful and productive. 3
  • 4. New Stack Command Driven (DOS, Unix) Apps Layer (AppStore, GooglePlay) Web Browser (IE, Netscape, Mozilla) Graphical User Interface (Windows, Xwindows) Conversational Layer (bots, machine learning & messaging) 4
  • 5. Social media started the conversation 5
  • 6. 6
  • 7. 7
  • 8. Users are interacting with brands • “I don’t know anyone who likes calling a business. And no one wants to have to install a new app for every business or service that they interact with. We think you should be able to message a business, in the same way you would message a friend.” — Mark Zuckerberg at F8 in 2016. 8
  • 9. It begins with the smartphone • As more and more people adopt smartphones and tablets as their primary gateway to the online world, these lightweight, data-friendly chat apps have become portals to news, services and of course, commerce. 9 2.15 billion smartphones in 2016 eMarketer
  • 10. Adoption • Today, about 2.5 billion people have signed up for at least one mobile messaging app and, according to a study by the advisory firm Activate, that number could reach 3.6 billion by 2018. That’s 90 percent of the internet-connected • Apps like Facebook Messenger, WeChat, Tango and Kik 10
  • 11. Generation next • ...this rising generation of consumers value experiences that are quick, easy and suit an on-the-go lifestyle. By building commerce opportunities into the platform where people are already holding conversations, you eliminate a significant barrier between the consumer and the brand. 11
  • 16. Alexa, order me a pizza! 16
  • 18. Siri to Viv • Virtual assistant • Speech recognition • Open to training 18
  • 20. 20
  • 21. Core idea • Algorithms (AI) + Data  Sense making  Decisions • Machine learning, expert systems, • Data sources: IoT, transaction data, public data, third-party data 21
  • 22. Underlying engines • Artificial Narrow Intelligence • Artificial General Intelligence • Artificial Super Intelligence 22
  • 23. 23
  • 24. 24
  • 25. 25
  • 26. 26
  • 27. Platform Bot Companies • PAT.AI – PAT.AI looks to solve NLU, Natural Language Understanding. You could add pat.ai to your bot to gain NLU functionality. For more, check out http://pat.ai. • API.AI – This company/product allows you to provide an integration layer into your bot messenger platform architecture. You could add NLP capability or integrate with other services. For more, check out http://api.ai. • ANGEL.AI – Angel.ai provides for natural language search specifically for commerce. The technology pulls out the actionable intent to drive the conversation forward. For more, check out http://angel.ai. • Houndify – Houndify seems super interesting because you can search and customize one of their 100+ public domains. But where some of the interesting power in this platform lies is in setting up a private domain. For more check out http://houndify.com. • Viv – Viv is an AI platform that enables developers to add an intelligent messaging interface to their existing apps and systems. This one seems interesting. For more see http://viv.ai. 27
  • 28. 28 Ecosystem Map of Chat Bots
  • 29. What should companies do? • Chose a platform • Run strategic experiments • Look for innovative users in other settings • Pilot bots with your customers 29
  • 30. Risks • Unintended consequences • Regulations • Security and privacy 30