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Hypermarkets

Cart path and dwell-time optimization for hypermarkets

How to understand how customers move through the store and design sales-driving paths.

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Signals to read first

Three signals to read before the result

No multi-camera path tracking01

No multi-camera path tracking

Large spaces require multiple camera views to be connected, but without an integrated system the full journey remains fragmented.

No zone visit-rate data02

No zone visit-rate data

When operators cannot see which zones are routinely skipped, layout decisions lack evidence.

Live preview

This is what you actually see

01 Detect · saai care

Continuous path linking across multiple cameras

Connects full movement paths of anonymized objects seamlessly from entry to exit via cross-camera handover technology. Collects spatial flow data without PII.

Screens are illustrative and may differ from the actual service.

Before · After

From finding the result later, to receiving the signal first

Knowing first

saai care · saai insight · saai agent

How to understand how customers move through the store and design sales-driving paths.

  • Continuous path linking across multiple cameras
  • Path-pattern and zone visit-rate analysis
  • Path-optimized layout suggestions

Decision flow

Connect the evidence from signal to action

01 · 01 Detect · saai care

Continuous path linking across multiple cameras

Connects full movement paths of anonymized objects seamlessly from entry to exit via cross-camera handover technology. Collects spatial flow data without PII.

02 · 02 Analyze · saai insight

Path-pattern and zone visit-rate analysis

Visualizes most-frequented paths and bypassed zones using heatmaps. Tracks flow changes across time slots to guide store layout redesigns.

03 · 03 Act · saai agent

Path-optimized layout suggestions

Diagnoses root causes of low-visit zones (poor accessibility, insufficient signage, etc.) and provides concrete actionable recommendations.

Operational evidence

See the scene and the outcome together

Expected results

The relationship between path design and sales

Supermarket layouts are often designed to move customers through as many zones as possible, for example by placing essentials such as eggs and milk deeper inside. But without connected movement data, operators cannot verify whether customers follow the intended route or skip certain zones.

+20%

Increase in average dwell time

+15%

Improved balance in zone visit rate

3주

Time to complete path-pattern analysis

* Figures are illustrative examples of real deployments. Actual results vary by site.

A wide retail scene with a visitor moving toward an arranged product zone
Operational context image · not an actual analysis screen

Case studies

See how it worked in a similar environment

View case studies

3 Core SAAI Products

How three products help this space together

Detect, analyze, and act connected in one continuous operating loop.

Detect

saai care

Detects critical anomalies in real time.

saai care Learn more
Analyze

saai insight

Analyzes why it happened and reveals trends.

saai insight Learn more
Act

saai agent

Proposes next actions by priority; a person confirms.

saai agent Learn more
  • 103 patents
  • SOC 2 · PIPA certified
  • 1,700+ cameras connected
  • 8+ partner brands

Could this work in your space too?

Tell us about your current CCTV setup and space. We will review a practical starting point with you.

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