Interactive Signage
Combine interactive displays, Edge AI, and content management to deliver personalized content and product recommendations based on customer insights and interactions.

Personalized Content Delivery
Deliver targeted promotions and content based on customer profiles, behaviors, and contextual insights.
Intelligent Product Recommendations
Recommend relevant products based on customer interests and interactions to create a more personalized shopping experience.
Voice AI Interaction
Enable natural voice interactions for product search, recommendations, and in-store assistance.
Audience Insights with SignageBI
Gain visibility into audience profiles and engagement through SignageBI, helping retailers better understand who is interacting with their signage and optimize content strategies.
Multi-Store Content & Device Management
Centrally manage signage content and devices across multiple stores and locations, simplifying deployment and ensuring consistent experiences at scale.
In-Store Traffic Analytics
Combine AI-powered cameras, edge computing, and centralized analytics to monitor visitor traffic and occupancy in real time, providing actionable insights for store operations, space utilization, and safety management.

Real-Time People Counting
Accurately count visitors entering and exiting designated areas to gain real-time visibility into foot traffic and occupancy.
Traffic Flow & Space Utilization
Analyze visitor traffic patterns across different zones to better understand space utilization and optimize store operations.
Occupancy & Safety Management
Monitor occupancy levels and set capacity thresholds to help manage crowded areas and maintain safer environments.
Dwell Time Analysis
Analyze how long visitors stay in specific areas to identify high-interest zones and gain deeper insights into customer engagement.
Queue Management
Integrate vision AI with service counters and self-service kiosks to detect queue length and waiting times, helping managers respond quickly, optimize staffing, and improve service efficiency.

Real-Time Queue Detection
Detect and monitor the number of customers waiting in designated queue areas in real time.
Queue Length Monitoring
Track queue length and set thresholds to alert staff when additional service support is needed.
Waiting Time Analysis
Analyze customer waiting times to identify service delays and improve operational efficiency.
Service Resource Optimization
Use queue insights to optimize staff allocation, reduce congestion, and improve the overall customer experience.
SCO Loss Prevention
Integrate Vision AI with self-checkout systems to monitor checkout activities in real time, detect suspicious events and transaction exceptions, and help retailers reduce shrinkage without disrupting the checkout experience.

Missed Scan Detection
Detect items that are placed in the bagging area without being properly scanned to help prevent unintentional or intentional losses.
Barcode Switching Detection
Identify inconsistencies between scanned barcodes and actual products to detect potential barcode switching or product mismatches.
AI-Powered Item Recognition
Use Vision AI to recognize products at checkout and cross-check visual information with transaction data for greater accuracy.
Real-Time Exception Alerts
Flag suspicious checkout activities and transaction exceptions in real time, enabling store staff to respond quickly when attention is needed.
FAQs
1
Why choose Edge AI over cloud-based AI for retail?
Edge AI processes data locally, enabling faster responses, reduced network dependency, and more efficient real-time retail operations.2
Can AI retail solutions work with existing store infrastructure?
3
Can smart retail solutions be deployed across multiple stores?
4
What types of retail businesses can benefit from Edge AI?
5
How can retailers get started with Advantech's smart retail solutions?
