Dashboard

The dashboard is an operations tool that lets you intuitively monitor in-store visitor paths, demographic characteristics, and real-time dwell status. By combining real-time data with same-day statistical analysis, it supports fast decision-making and on-the-ground response.

1. Key features

1.1 Visitor path tracking

• Description: View visitors’ movement paths inside the store in real time.
• Use cases: Identify congested zones, optimize product displays, adjust staff placement.

1.2 Gender / age group filter

• Description: Filter visitor data by gender or age group.
• Use cases: Analyze the behavioral patterns of specific target customer segments and plan tailored promotions.

1.3 Map display

• Description: Show visitors’ current locations on the store map.
• Use cases: Monitor congested areas and track the number of people dwelling in each zone in real time.

2. Today’s statistics

2.1 Current dwellers

• Description: Displays the number of visitors currently in the store in real time.
• Use cases: Assess store congestion and respond based on safety management thresholds.

2.2 Gender ratio

• Description: Provides the ratio of male to female visitors currently in the store.
• Use cases: Adjust marketing messages based on shifts in the gender ratio.

2.3 Top age group

• Description: Shows the age group that makes up the largest share of today’s visitors.
• Use cases: Tailor product placement and select promotion targets by age group.

3. Today’s visitor analysis

3.1 Total visitors

• Description: Provides the cumulative visitor count for today.
• Use cases: Compare daily inflow and measure the impact of special events.

3.2 Hourly visitor graph

• Description: Charts how the number of visitors changes by hour throughout the day.
• Use cases: Identify peak hours and optimize shift scheduling.

3.3 Gender and age distribution

• Description: Visualizes the gender and age distribution of visitors in charts.
• Use cases: Run customer segment analysis and build targeted marketing strategies.

4. Tips

1. Use filters actively: Use the gender and age filters to easily uncover the behavioral patterns of specific customer groups.
2. Compare real-time and cumulative data: Reviewing both real-time status and cumulative data together gives you a more accurate read on the floor.
3. Tie in events and promotions: Compare a specific event’s time window against visitor trends to evaluate impact.

Screen layout

Real-time monitoring

Real-time visitor positions overlaid on the store floor plan

Summary of current store conditions: dwellers, gender ratio, top age group, and more

Today’s statistics

Visit data accumulated over the course of today

Visitor flow visualized as a graph by hour

Visitor distribution

Charts showing the gender and age distribution of visitors