RETAIL

USE-CASES

Demographics and Demand forecasting

Facial Recognition and Analysis

○ 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.