Enhancing Digital Advertising with AI-Driven Analytics

 Implementing the Multi-Board System

Introduction

The Multi-Board System leverages advanced camera placements at digital signage displays and registers to track and analyze viewer engagement and purchasing behavior. It processes live video streams in real-time, extracting images and analyzing them to gather valuable insights, including:

• Demographics: Determining the age and gender of viewers.

• Emotional Response: Analyzing facial expressions to gauge reactions to content.

• Conversion Rates: Correlating advertisement views with subsequent purchases.

The system operates using dedicated hardware, known as the Edge Client, which processes the video streams and extracts relevant biometric and event data. To ensure privacy, the Matching Server anonymizes this data before storing it in the Statistical Server for further analysis and strategic decision-making.

2. Key Features and Benefits

Measuring Advertising Efficiency

• Benefit: Gain precise insights into advertising effectiveness by comparing the number of ad viewers with actual buyers, enabling strategic refinement of marketing campaigns.

Optimizing the Advertising Mix

• Benefit: Leverage collected data to strategically tailor future campaigns and optimize the advertising mix for better alignment with customer interests and needs.

Boosting Revenues

• Benefit: Improve advertising efforts with accurate data, leading to increased conversion rates and higher sales revenue.

Enhancing Customer Experience

• Benefit: Utilize customer behavior insights to refine the shopping experience, increasing satisfaction and brand loyalty.

Time-Specific Staff Adjustments

• Benefit: Identify peak hours and optimize staff allocation to enhance customer service during high-traffic periods.

Future-Oriented Planning

• Benefit: Use insights from collected data to plan future store layouts and operations, ensuring continuous improvement and optimization.

3. Data Collection and Processing

Edge Client

The Edge Client runs on dedicated hardware optimized for real-time video stream processing. It extracts biometric data (such as FaceID) and event-related data (such as camera ID, timestamp, age, gender, and sentiment) while maintaining strict adherence to privacy regulations.

Matching Server

The BST Matching Server anonymizes biometric data by converting it into auto-generated user IDs. This ensures privacy while enabling customer recognition for enhanced analytics. Additionally, the system can exclude specific individuals (e.g., employees or VIPs) from the dataset to maintain analysis accuracy.

Statistical Server

The Statistical Server processes and enriches raw data for deeper analysis. It links camera data to specific store locations and zones, enabling statistical insights and report generation for marketing and operational strategies.

4. Efficiency

The efficiency of the Multi-Board System is demonstrated by providing access to anonymized visitor data through an intuitive user interface, enabling the tracking of key metrics:

• Number of Visitors: Total footfall in front of each digital signage display.

• Gender and Age Distribution: Demographic breakdown of visitors.

• Engagement Metrics: Analysis of viewing duration and frequency towards digital signage.

By integrating this system, retailers can significantly enhance their marketing strategies, operational efficiency, and customer engagement, ultimately driving higher revenues and business growth.