The document discusses emerging technologies that are changing in-store checkout and payment processes. It summarizes presentations from several companies at a conference on checkout-free shopping technologies using computer vision and artificial intelligence. The companies describe solutions like automated checkout systems without cashiers that track customers and identify purchased items in real-time to charge customers. These new approaches aim to improve customer experience by reducing checkout wait times and could lower costs for retailers through reduced labor needs.

1. From checkout-free to self-checkout – What you need to know about the
latest convenience-basedpayment technologies
Monday, January 14 2:45 pm - 3:15 pm
Chris Hardisty
VP, Retail and
Digital
Lacoste
Steve Gu
Co-Founder
and CEO
AiFi
Francois
Chaubard
CEO
Focal
Systems,Inc.
Krishna
Motukuri
Co-Founder
and CEO
Zippin
Pradeep
Pydah
Founder and
CEO
Maxerience
Lindon Gao
Co-Founder
and CEO
Caper

2. Coverage
Vending
Machines
Daily Revenue
10 miles
2-3 miles
< 500 ft
$500 $2k $10k >$100k

3. Coverage
Vending
Machines
Daily Revenue
10 miles
2-3 miles
< 500 ft
$500 $2k $10k >$100k
Hypermarket

4. Coverage
Vending
Machines
Daily Revenue
10 miles
2-3 miles
< 500 ft
$500 $2k $10k >$100k
Supermarket
Neighborhood
Market
Convenience
Store
Hypermarket

5. Coverage
Hypermarket
Vending
Machines
Daily Revenue
10 miles
2-3 miles
< 500 ft
$500 $2k $10k >$100k
Supermarket
Neighborhood
Market
Convenience
Store

6. Coverage
Vending
Machines
Daily Revenue
10 miles
2-3 miles
< 500 ft
$500 $2k $10k >$100k
Supermarket
Neighborhood
Market
Convenience
Store
24/7, unstaffed, automated
Hypermarket
NanoStore

7. Introducing NanoStore: Automated Checkout, 24/7

11. NanoStore as 24/7 satellite stores

12. Instant
AutoCheckout pilot Payback < 1 yr Great new business

13. NanoStore is on pre-order today!

14. DEEP LEARNING COMPUTER VISION
TO DELIGHT MORE CUSTOMERS
January, 2019

15. Point #1:
The retailer that makes
customers happiest will win.

16. “Determine what your customers need, and work
backwards.” - Jeff Bezos
TO SURVIVE THE NEXT DECADE, RETAILERS
MUST:

17. GOAL #1:
Happy Customers
“Determine what your customers need, and work
backwards.” - Jeff Bezos
Right product,
right price
Fully stocked
shelves
Friendly &
dedicated staff
What Makes Customers Happy?
Immediate
Checkout
TO SURVIVE THE NEXT DECADE, RETAILERS
MUST:

18. GOAL #1:
Happy Customers
“Determine what your customers need, and work
backwards.” - Jeff Bezos
Fully stocked
shelves
What Makes Customers Happy?
Immediate
Checkout
TO SURVIVE THE NEXT DECADE, RETAILERS
MUST:
$600k / year / store $800k / year / store

19. Point #2:
Deep Learning Computer Vision is the most
scalable way to achieve those things today

20. 1: Automatic PLU Input at Self Checkout
•Eliminate PLU Lookup
•Increase throughput from 30/hour to 50/hour
•Increase adoption from 30-50%
•Reduce Produce Shrink by 60%
•$150,000 Economic Benefit per year per store

21. 2: Eliminate Scanning
•Eliminate Barcode Scanning Completely
•Increase throughput from 22/hour to 52/hour
•Reduce Produce Shrink and sweethearting
•$500,000 Economic Benefit / year / store

22. 3: Out-of-Stock Detection
•Eliminate Manual Scanning
•Real-time reporting of out of stocks
•Get to 96% On-shelf Availability
•Increase pick velocity by 30%
•$310,000 Economic Benefit per year per store

23. Point #3:
AUTOMATED GROCERY IS THE NEW
“ONLINE”… DON’T MISS IT.

24. AMAZON GO IS NOT SCALABLE, BUT….. DEEP LEARNING COMPUTER VISION IS!

25. OperatingProfit
Kroger Operating Profit Scenario Analysis
1)Pay us $100m a year to automate 2% of labor
2)Grow online sales 30% for 5 years
3)Do nothing

26. AUTOMATION IS THE MOST IMPORTANT INVESTMENT A RETAILER CAN
MAKE
Invest in online or in in-store automation with Deep Learning?
63% can be
automated
today

27. 10+ Major Retailers, 3 Continents francois@focal.systems

28. checkout-free shopping for every store
Krishna Motukuri

29. Vision
Transform retail by
banishing checkout lines.

30. The Problem
People hate waiting in lines.
Rising labor costs are making
checkout lines even longer.
Self-checkout kiosks are clunky
and increase friction for customers.

31. S T E P 1 : E N T E R
credit card / mobile
Integrated Advanced Tech
Deep learning. Computer Vision. Sensor Fusion.
S T E P 2 : S H O P
multi-camera tracking

32. S T E P 1 : E N T E R
credit card / mobile
Integrated Advanced Tech
Deep learning. Computer Vision. Sensor Fusion.
S T E P 2 : S H O P
multi-camera tracking
S T E P 3 : P I C K
pose estimation
product recognition

33. Customizable Shelf Sensors
Easy to retro-fit any store
WORKS WITH
EXISTING SHELVING PLUG AND PLAY
MODULAR

34. Pre-fabricated turn-key solution (optional)
No need for wiring
Assemble in any layout.
Carry refrigerated as well as dry
goods.
Ideal for Grab-and-go stores at
airports, malls, buildings.

35. Biggest shift in retail since bar codes
Retailer net profit goes up by ~3x
1. Lower labor costs
2. Higher sales / sq ft
3. Real time inventory tracking and forecasting
4. Advanced analytics
5. Fewer losses due to theft

36. Solution accessible to all retailers
CapEx $25 - $30 / sq ft
OpEx Savings 5 – 10% of sales
Payback in 6-12 months
Cameras, Sensors,
Wiring and Installation
After paying Zippin’s SaaS fees

37. Zippin-powered stores opening soon
50 retailers and
real estate owners
4 major
retailers

38. Thank You
• High accuracy
• Easy to deploy
• Boosts sales
• Lowers costs
www.GetZippin.com

39. IOT Vision AI
PROVIDING
SMART RETAIL
Leveraging our Scalable
IOT and AI Platform

40. 40
Sell anywhere,
Anytime!

41. 41
Using checkout free, self
serve assets

42. 42
Improve your
market
execution

43. 43
Leveraging instant actionable insights
Select outlet
Simple Image Capture
with Quality Check
Instant Result
processing
Actionable Insights
& Core KBI’s
Outlet Located (GPS)1
Retail Shelf/
Cooler Captured
2 Shelf/Cooler Analyzed3 Prescriptive Analytics4

44. 44
Remotely know how you
products are performing
Using our
Stick-n-Play
IOT and
Machine Vision
Solutions

45. 45
Monetize retail IoT and Image Recognition data
Monetization of retail
IoT
and Image
Recognition data
Key KBI’s
Out- of-the box
actionable insights Self-service
Machine
Learning

46. `
46
Enabling Scale via our
Instant Product Cataloging
Technology
Factories
Distribution Centers
< 3 Minutes
to Capture Products @
Source
< 24 Hours
Start Recognizing
New Products

47. 47
USA
China
India
Bulgaria
7+ Million Outlets 1+ Million Connected Devices 42 Countries Across 5 Continents
Leveraging IOT & AI for retail
At Scale

48. 48
VISIT US FOR LIVE DEMOS
BOOTH – 7102
INNOVATION LAB- 4TH FLOOR
Pradeep V Pydah | CEO
22994, Lavender Valley Ct, Ashburn, Virginia 20148
1-510-8960953
pradeep.v.pydah@maxerience.com
22994, Lavender Valley Ct, Ashburn, Virginia 20148
1-917-4590915
karan@ebest-iot.com
Karan Bakshi | CEO