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Drugstores

VMD optimization for drugstores

How zone-level dwell-time data raises attention to high-margin product areas.

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Signals to read first

Three signals to read before the result

No zone visit-rate data01

No zone visit-rate data

Without knowing which zones attract visitors or how they move, it is difficult to build a data-based path strategy.

Cannot measure tester impact02

Cannot measure tester impact

Teams cannot tell whether tester placement contributes to sales or which position receives the most interaction.

Hard to verify display-change impact03

Hard to verify display-change impact

Displays change by season, but comparing whether the new arrangement performed better or worse is difficult without a consistent measure.

Live preview

This is what you actually see

01 Detect · saai care

Capture dwell time and tester contact by zone

Automatically measures visitor dwell time, visit frequency, and tester contact count across display zones. Tracks high-attention product zones in real time.

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 zone-level dwell-time data raises attention to high-margin product areas.

  • Capture dwell time and tester contact by zone
  • Zone performance and flow-pattern analysis
  • VMD suggestions and impact measurement

Decision flow

Connect the evidence from signal to action

01 · 01 Detect · saai care

Capture dwell time and tester contact by zone

Automatically measures visitor dwell time, visit frequency, and tester contact count across display zones. Tracks high-attention product zones in real time.

02 · 02 Analyze · saai insight

Zone performance and flow-pattern analysis

Compares dwell time proportion and purchase conversion between high-margin and low-margin zones. Maps customer flow paths to establish guidance strategies.

03 · 03 Act · saai agent

VMD suggestions and impact measurement

Automatically measures changes in dwell time and conversion following VMD re-layouts. Delivers weekly report insights like "Zone A dwell time increased 18% month-over-month."

Operational evidence

See the scene and the outcome together

Expected results

Why VMD data matters in drugstores

Drugstores combine low-margin daily goods with higher-margin beauty and health products. Guiding movement toward higher-margin zones can improve sales, but without measuring the display, teams are forced to rely on experience and intuition.

+12%

Increase in high-margin zone basket value

+25%

Increase in tester zone dwell time

4주

Time to first VMD insight

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

A drugstore scene with an anonymous shopper considering products at a shelf
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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