
Storefront AI
From the sidewalk to the first step inside
Measure storefront traffic, glances, attention, and store entry as one funnel.
Foot traffic alone cannot explain storefront performance
Traffic and entry counts are usually separated, so teams cannot prove whether a shopper who saw the window display actually walked in. Storefront AI connects that missing response into one conversion funnel.
You only know how many people passed.
Who looked or slowed down remains unknown.
Display response and actual entry stay disconnected.
Measure the moment attention becomes an entrance
Connect pass, glance, attention, and entrance as one anonymous funnel. See which screen and time block changes direction and brings a shopper through the door.

Pass · glance · attention · entry
Measure behavior from sidewalk to doorway as anonymous events.
Display response to entry
Connect attention at the screen to a real walk-in.
Creative · time · store
Compare the conditions that produce stronger entrance conversion.
Storefront · schedule · conversion
Improve window content and entrance operations with observed behavior.
Read pass-to-entrance conversion in one operating view
See daily Pass–Glance–Attention–Entrance movement, creative-level entry conversion, and time-of-day performance in one dashboard.

Attention and entry by creative
Connect campaign attention to real entrances and apply the result to the next storefront schedule.

Storefront media and entrance performance share one number
Connect real traffic to real entrances
Explain observed conversion after attention instead of reading traffic and entry separately.
See which screen brings people inside
Compare attention and entrance by creative and time block, then repeat what performs.
Compare storefront investment across stores
Evaluate different locations through the same pass-to-entrance funnel.
Connected attention and entry prove storefront investment

Real walk-in attribution proved a ¥140,000 signage investment paid off, lifting foot traffic 69% and revenue 83%.
Measure conversion with entrance cameras and an AI Box
Exterior and entrance camera frames are processed and discarded inside the AI Box. Only visit-scoped events and aggregated conversion values reach the cloud.

Window and entrance cameras
Connect camera views that capture storefront response and real entry.
On-device connection
Join response and entry with non-biometric events valid only within one visit.
CMS and conversion dashboard
Connect content schedules to entrance conversion and produce storefront performance.
What teams ask before deployment
Q01Is Two-Cam Re-ID tracking identity?+
No. It is non-biometric matching, scoped to a single visit. No faces, no templates: only session-scoped, non-biometric event records (counts, zones, dwell).
Q02Does any video leave the store?+
No. Frames are analyzed inside the AI Box in milliseconds and discarded. Only non-biometric event records, the numbers, leave the device.
Q03Which tier do I need?+
Solo measures ad attention with one camera. Duo adds walk-in conversion with two cameras at the entrance.
Q04Can it also switch the content?+
Yes. Scheduling runs on the built-in CMS, and triggers can switch content by the estimated gender and age band of who is watching. The estimate is anonymous, and no identity is ever created or stored.
Q05How is it offered?+
As one package, the AI Box with a year of measurement, dashboards, and support. Talk to us for the right tier for your entrance.
See what your current entrance can measure
We scope a pass-to-entrance pilot around your window, doorway, and camera positions.