Where it breaks
Conditions differ store by store, so you cannot line them up.
The yardsticks differ
Floor area, trade area, and hours differ, so the same number means different things.
Wins do not travel
Without knowing why one store succeeded, you cannot move it to the others.
Rollout stalls
Heavy analysis ends up living in a handful of stores.
All stores at a glance
From sensing to the decision, it flows through on one screen.
Stores that drift from their regional average surface first.
The conclusion comes first; click through to the evidence.
Flags stockouts, hygiene, and equipment issues by location and urgency.
Stores to look at
- AnyangExit blockedCapital area: watch status, below average-39%
- Gangnam Stn.Capital area: visits above average+47%
- SeomyeonOther regions: visits above average+51%
Three stores to check first · Analysis proposes the candidates. The operator decides.
- Visits in period
- 32,914
- Avg. sales conversion
- 8.8%
20 stores nationwide
Overview
Stores to look at
Stores 25% or more off their regional average, widest gap first
Capital area: watch status, below average
Capital area: visits below average
Other regions: visits below average
Capital area: visits above average
Other regions: visits above average
Patterns in visits, dwell and conversion that differ from the usual. Your team reviews and acts.
* Example screen with sample data
WHAT HQ GETS
An operating standard HQ can use.
Fleet visibility
One metric across stores.
One yardstick
Peer comparison by region and size.
Existing cameras
Use the CCTV in place.
Working evidence
Screens for meetings and reporting.
Curious how to set one standard across every store?
Request a consultationANONYMIZATION
We see what is happening, not who is there.
What an HQ reads is an operating signal, not a person. Visits and dwell stay as anonymous aggregates.
No original kept
Anonymized at the first step. The original is left nowhere in the system.
No human viewing
No human eye reaches it. The machine sees.
No re-identification
Identity cannot be recovered from anonymized data.
CUSTOMIZE · CONSULTING DESIGN
This is not a fixed package. We design around how you operate.
We diagnose your store count, operating model, goals, and the data your team can provide. Then we combine the products and capabilities you need, validate them in a pilot, and scale across the fleet.
- 01
Diagnose
Stores, operating questions, and available data
- 02
Design
Configure care, insight, agent, and count to scope
- 03
Pilot
Validate the screens and operating standard in representative stores
- 04
Scale
Apply the validated standard across the fleet and HQ
Data we can connect
Existing CCTV · POS · weather · promotions · inventory · trade-area data, combined with the SAAI products you need.