RETAIL · F&B
Read the customer journey.
Make your next store decision.
RIZE shows when customers arrive, where they stay and how they move, adding data to your understanding of daily operations.
USE CASE
See why today’s customers were different,
right inside your store.
Visitor counts alone cannot explain what changed in a store. RIZE shows the flow from time-based arrivals to dwell, movement, and new-versus-returning visits, helping owners turn what they notice on the floor into data.
Key data
- Visits by time of day and peak hours
- New-versus-returning customer mix and visit intervals
- Dwell time, areas of interest and movement by zone
How it helps
- Identify when visits and dwell changed, and possible reasons
- Set priorities for displays, seating, layout and staffing
- Compare customer flows before and after an operational change
WHAT YOU CAN SEE
Operational signals
you can see on site.
Visit patterns
Track visits and repeat visits by time of day.
Dwell time & areas of interest
Compare the zones where customers stay and how long they spend there.
Movement through the space
See how customers move between zones.
FIELD CASES
Data that informs
operational change.
Miyabi Reno
A case study where returning customers spent $15 more per person on average than new customers, a 43% increase.
+$15 · +43%PoC period: Nov 2025–May 2026봇밥
A one-month case study that used facial recognition to award points to registered customers and observe repeat-visit frequency and purchase growth.
45%Repeat-visit rate · up to 16 visitsCoffee Brand A
A case study that measured offline event efficiency by tracking total visitors and repeat visitors (duplicate participation) in the event zone.
9.3%Estimated duplicate rate
START WITH RIZE
Get to know your customers better.
Start with RIZE.
Tell us about your business and store setup. We will help you find the right configuration.
Discuss your setup →