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EMBRACING AI
IN RETAIL
DAVE SUTTON
GREAT RETAIL EXPERIENCES BEFORE
THE INTERNET
PERSONABLE:
TRUSTED:
LOCAL:
KNOWLEDGEABLE:
SOCIAL:
They knew your kids’ names
They really knew what you needed
They knew your neighbors
They knew their category
They enjoyed seeing you
WHAT ARE TODAY’S RETAIL
CHALLENGES?
OVERLEVERED:
IMPERSONAL:
INAUTHENTIC:
IRRELEVANT:
DISTRUSTED:
Owning underutilized assets
Losing the human touch
Annoying interruptive marketing
Customer opt out, block out, tune out
Data privacy, security, liability
“THERE’S AN AI FOR THAT…”
 Text
 Image
 Video
 Voice
 Analytics
 Privacy & Security
 Infrastructure
HOW TO EMBRACE AI
• Conversational Commerce
• Emotional Relevance
• Value Reciprocity
• Predictive Connectivity
• Authentic Purpose at POS
AI TOOLS TO REVITALIZE RETAIL EXPERIENCES
Conversational Commerce
Emotional Relevance
Value Reciprocity
Predictive Connectivity
Authentic Purpose at POS
HOW DO YOU “DIP YOUR TOE” IN?
EAS E OF IMPLE ME NTATION
POT E N T IAL
ENTERPRISE
VALUE
H I G H
LO W
E A S Y H A R D
B U S I N E S S M O D E L
T R A N S F O R M AT I O N
AV O I D
Dynamic store
layouts
Interactive
shopping
experiences
Tailored
promotions and
offers
In-store
navigation
assistance
Personalized
customer
engagement
Predictive
inventory
management
Automated
decision
making
Real-time
customer
feedback
Next Gen
checkout process
Personal
productivity tools
Social media
integration
HOW CAN YOU
GET IT WRONG?
Be impersonal
Be annoying
Be inequitable
Be creepy
Be disingenuous
CONTACT ME
DAVE SUTTON
MAN AGIN G PART N E R
BLUE RHIN O CAPITAL , LLC

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Miller Zell Speaker Series: Embracing AI in Retail with Dave Sutton

  • 2. GREAT RETAIL EXPERIENCES BEFORE THE INTERNET PERSONABLE: TRUSTED: LOCAL: KNOWLEDGEABLE: SOCIAL: They knew your kids’ names They really knew what you needed They knew your neighbors They knew their category They enjoyed seeing you
  • 3. WHAT ARE TODAY’S RETAIL CHALLENGES? OVERLEVERED: IMPERSONAL: INAUTHENTIC: IRRELEVANT: DISTRUSTED: Owning underutilized assets Losing the human touch Annoying interruptive marketing Customer opt out, block out, tune out Data privacy, security, liability
  • 4. “THERE’S AN AI FOR THAT…”  Text  Image  Video  Voice  Analytics  Privacy & Security  Infrastructure
  • 5. HOW TO EMBRACE AI • Conversational Commerce • Emotional Relevance • Value Reciprocity • Predictive Connectivity • Authentic Purpose at POS
  • 6. AI TOOLS TO REVITALIZE RETAIL EXPERIENCES Conversational Commerce Emotional Relevance Value Reciprocity Predictive Connectivity Authentic Purpose at POS
  • 7. HOW DO YOU “DIP YOUR TOE” IN? EAS E OF IMPLE ME NTATION POT E N T IAL ENTERPRISE VALUE H I G H LO W E A S Y H A R D B U S I N E S S M O D E L T R A N S F O R M AT I O N AV O I D Dynamic store layouts Interactive shopping experiences Tailored promotions and offers In-store navigation assistance Personalized customer engagement Predictive inventory management Automated decision making Real-time customer feedback Next Gen checkout process Personal productivity tools Social media integration
  • 8. HOW CAN YOU GET IT WRONG? Be impersonal Be annoying Be inequitable Be creepy Be disingenuous
  • 9. CONTACT ME DAVE SUTTON MAN AGIN G PART N E R BLUE RHIN O CAPITAL , LLC

Notes de l'éditeur

  1. Using these five core concepts, retailers can move away form that Minority Report future and instead begin to use digital marketing to nurture real connections with customers. Digital marketing tools are ideal for placing the customer at the center of your brand. Will we go back to some imagined time in the past when things were better and everyone was happy? No. We will enter into a new and better hybrid future in which technology is used for the common good and reintroduces the human touch back into retail sales.
  2. [Recount personal Dave Sutton anecdote about the retail of childhood] Personable, Trusted, Local, Knowledgeable, and Social
  3. Retail marketing has new challenges It lacks the human touch It’s interruptive and doesn’t put the customer first It makes ineffective use of digital tools like A.I. and facial recognition And customers use ad blockers more and more frequently. As a result, fears about privacy, ubiquity, and invasiveness prevail just as they did in 2002. And things are even getting worse.
  4. Whisper - Automatic speech recognition (ASR) system trained on 680K hours of multilingual and multitasking supervised data collected from the web.It supports transcription in multiple languages, as well as translation from those languages into English. VALL-E - Text-to-speech synthesis by training a neural codec language model (VALL-E). VALL-E emerges in-context learning capabilities and can be used to synthesize high-quality personalized speech with only a 3-second enrolled recording of an unseen speaker as an acoustic prompt. VALL-EX, can convert a person's voice into another language based on a single utterance Character.ai - Neural language model chatbot web application that can generate human-like text responses and participate in contextual conversations. Synthesia – Creates life-like video avatars that can be scripted or driven by GPT
  5. Whisper - Automatic speech recognition (ASR) system - speech to text - supports transcription in multiple languages VALL-E – Microsoft - Text-to-speech synthesis Character.ai - Chatbot web application that can generate human-like text responses and participate in contextual conversations. Synthesia – Creates life-like video avatars that can be scripted or driven by GPT Zilliant – AI-enabled pricing optimization and management – market-aligned dynamic pricing to create win-win Albert – AI enabled media buying – connecting messages to the right people at the right time at the right spend Bluecore – AI-enabled targeting connecting relevant messages and offers to people to activate purchase intent at MOTs RetailNext – IoT and AI–enabled modern retailer – foot traffic, video security, shopper journey, merchandising, store layouts, etc. ShoppingGives – Ai-enabled POS applications to present relevant charitable giving options to shoppers – connecting commerce with cause
  6. How to Get It Wrong Be impersonal: According to an Accenture study, 44% of consumers believe retailers fail to deliver relatable, personalized experiences. Be intrusive: 92% of consumers are worried about their online data privacy but nearly 7 in 10 want a personalized shopping experience Be overeager: No one wants to get an offer for greater savings just after they’ve recently made a purchase. Give it time. Counterexample: Amazon equipping their Ring video doorbells with facial recognition. The bells were meant for convenience and ease of delivery, but were also promoted as a way to track “suspicious people.” Amazon was immediately and widely criticized in the press for this.
  7. How to Get It Wrong Be impersonal: According to an Accenture study, 44% of consumers believe retailers fail to deliver relatable, personalized experiences. Be intrusive: 92% of consumers are worried about their online data privacy but nearly 7 in 10 want a personalized shopping experience Be overeager: No one wants to get an offer for greater savings just after they’ve recently made a purchase. Give it time. Counterexample: Amazon equipping their Ring video doorbells with facial recognition. The bells were meant for convenience and ease of delivery, but were also promoted as a way to track “suspicious people.” Amazon was immediately and widely criticized in the press for this.
  8. By making the customer the hero you create a commercial environment that isn’t just powered by machine learning and digital tools—you make one that uses those tools for a better world. Through the use of Customized Choice, Emotional Relevance, Shared Value, Constant Connectivity, and Genuine Purpose, you empower relationships among people and between retailers and their customers.s With the help of digital tools, you bring a new day to market. You bring Main Street back to life.