Presentation from the 2019 Retail's Big Show

1. How Ultinous eliminated long queues
in Rossmann drug stores through video analytics?

2. • Find modular technologies – start small, build
gradually
• Go beyond sales& marketing areas
• Combine AI features to reach maximum value
Actionable Takeaways from this session:

3. About Rossmann
• Convenience store chain
• 6 Europen countries
• 3,790 stores
• $ 10Bn revenues

4. Why queuing in Rossmann stores is a problem?
• Multi-task staff
• Queueing critical for
customer experience
• High rate of impulse
shopping

5. Queueing problems not limited to convenience stores
Offline customers demand online-like experience!

6. Queue Management boosts conversion rates and revenues
Calculation based on the analysis of two months data of 100k + visitors at Rossmann stores.
In a typical retail store:
● open 6 days a week
● 1,000 -2,000 customers/day
● $ 10-20 basket value
● 1/3 of queues longer than
optimal
Reducing long queues to 3-4
customers brings:
● 6,8 % weighted conversion
rate growth
● Revenue increase: >$600 per
day ($180k per year)
● Return on investment: 7-10x

7. What can you do?

8. Prevent queues instead of being reactive

9. The problem
The client had an issue with long
queues...
...and wanted not only to measure the
queues but to see them reduced.

10. How does it work

11. About the technology
QUEUE MANAGEMENT WITH ANONYMIZATION
Head/Face/Body
detection
Real-time
anonymization
Age and gender
detection
Person
re-identification

12. The results: queues are gone

13. Cashiers don’t work more

14. Customers and Revenues increased

15. Real-time tracking and reporting

16. Our other features and solutions
Head counting & staff exclusion Demographic detection Face recognition
2D TrackingHead pose detection 3D tracking

17. Check out at our booth who is your celebrity look-alike!

18. Thank
you!
www.ultinous.com
business@ultinous.com
linkedin.com/company/ultinous/

19. Project overview
• 2500 visitor per day
• 5 cameras (2MP)
• In-cloud processing
• 3.5 Mbits/sec bandwidth
• Video analytics features:
– Queue measurement
– Dwell time measurement
– Queue prediction
– Alerting
• Alerting: 20-30 alert per day
• 70% staff reaction within 2 minutes

20. Why should you do it?