○ Age Estimation: AI algorithms can analyze facial features to estimate
the age range of customers
○ Gender Identification: The system can determine the gender of
customers based on facial characteristics.
○ Ethnicity Estimation: AI can estimate the ethnicity of customers by
analyzing facial features and skin tones.
01
Foot Traffic Analysis
○ Count and Flow: AI-powered cameras can count the number of people
entering and exiting the store, as well as analyze the flow of foot traffic
within different areas.
○ Peak Hours: Identifying peak hours when certain demographic groups
are more likely to visit.
02
Customer Loyalty and Frequency
○ Repeat Visitors: Identifying repeat customers and analyzing their
demographic information.
○ Visit Frequency: Understanding how often different demographic
groups visit the store.
03
Heatmaps and Behavioral Analysis
○ Movement Patterns: By tracking customer movements within the store,
AI can create heatmaps showing which areas attract different
demographic groups.
○ Product Interaction: Analyzing which products are interacted with by
different demographics.
04
Emotion Detection
○ Customer Sentiment: AI can detect emotions such as happiness,
surprise, or dissatisfaction, providing insights into customer satisfaction
levels across different demographic groups.
05
BENEFITS FOR
RETAIL STORES
Personalized Marketing
Tailor marketing strategies and promotions based on
the demographic profile of customers.
Inventory Management
Optimize inventory based on the preferences and
buying patterns of different demographic groups.
Store Optimization
Design store layouts to better cater to the
preferences of key demographic segments.
Experience Enhancement
Improve customer experience by
understanding the needs and preferences of different demographic.
Informed Decisions
Make data-driven business decisions about staffing,
store hours, and product placements.