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How can AI-Based Video Analytics
improve the customer experience?
Online retailers knows everything about their customers
Information?
How are people moving in your stores?
What are your customers looking at?
Who is visiting your stores?
How many visitors do you have?
Returning customers?
Conversion rate?
Examples of information requested
Sensors?
Connected devices – 75 Billion
What data points can be used?
Video – investments?
Actionable analysis?
IoT?
How are people moving in a store?
Using the CCTV infrastructure of
the shop
Camera feed
By customer type (demography)
Learnings from historical trends
Dwell times
Number of visitors
Number of checkouts open
Number of people queuing
Counting
Real-time alerts to open new
checkouts
Reporting for staff scheduling
Reporting dashboard on visitors
Queue management
Customer’s age & gender
Demography
• Takeaway #1 goes here
• Takeaway #2 goes here
• Takeaway #3 goes here
Actionable Takeaways from this session:
• Gather information based
on customer interest
• Promotion optimization
• Attractiveness of product and
placement
What is being touched?
What is your customer looking at?
• Re-Identification
• Returning customer
Who is visiting your store?
Customer journey with face recognition at BUD airport
(retail)
Simple customer journey (enter)
Simple customer journey (POS match)
Simple customer journey (exit)
Gender analysis (with POS matching)
Age analysis (with POS matching)
Returning customers with Facial Recognition
Number of persons entering in the showroom daily
Age and gender statistics of entering persons to showroom daily
Average dwell time (average time customers spend in the showroom)
Dwell time for more areas (time one customer spends within a defined
area)
Age and gender statistics of the customer in an area
The time between entering in each area and the first interaction with the
sales consultant
Statistics about returning customers (reidentification of the same person by
the next visit or visits
Infiniti Middle East – Optimize sale and customer
experience
Thank you!
And please visit us at
stand #6145
www.ultinous.com
business@ultinous.com
linkedin.com/company/ultinous/
How can AI-based video analytics improve the customer experience_Ultinous

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How can AI-based video analytics improve the customer experience_Ultinous

  • 1. How can AI-Based Video Analytics improve the customer experience?
  • 2.
  • 3. Online retailers knows everything about their customers Information?
  • 4. How are people moving in your stores? What are your customers looking at? Who is visiting your stores? How many visitors do you have? Returning customers? Conversion rate? Examples of information requested
  • 5. Sensors? Connected devices – 75 Billion What data points can be used? Video – investments? Actionable analysis? IoT?
  • 6. How are people moving in a store? Using the CCTV infrastructure of the shop Camera feed By customer type (demography) Learnings from historical trends Dwell times Number of visitors Number of checkouts open Number of people queuing Counting Real-time alerts to open new checkouts Reporting for staff scheduling Reporting dashboard on visitors Queue management Customer’s age & gender Demography
  • 7. • Takeaway #1 goes here • Takeaway #2 goes here • Takeaway #3 goes here Actionable Takeaways from this session:
  • 8. • Gather information based on customer interest • Promotion optimization • Attractiveness of product and placement What is being touched? What is your customer looking at?
  • 9. • Re-Identification • Returning customer Who is visiting your store?
  • 10. Customer journey with face recognition at BUD airport (retail)
  • 12. Simple customer journey (POS match)
  • 14. Gender analysis (with POS matching)
  • 15. Age analysis (with POS matching)
  • 16. Returning customers with Facial Recognition
  • 17. Number of persons entering in the showroom daily Age and gender statistics of entering persons to showroom daily Average dwell time (average time customers spend in the showroom) Dwell time for more areas (time one customer spends within a defined area) Age and gender statistics of the customer in an area The time between entering in each area and the first interaction with the sales consultant Statistics about returning customers (reidentification of the same person by the next visit or visits Infiniti Middle East – Optimize sale and customer experience
  • 18. Thank you! And please visit us at stand #6145 www.ultinous.com business@ultinous.com linkedin.com/company/ultinous/