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?
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/