Edge AI for Retail: Enhancing Customer Experience and Operations

• Basic understanding of AI and machine learning concepts
• Familiarity with retail technology and automation
• Experience with Python or AI frameworks is beneficial but not required

Audience

• Retail technologists
• AI developers
• Business analysts

Edge AI is transforming the retail industry by enabling real-time decision-making for customer experience and operational efficiency.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level retail technologists, AI developers, and business analysts who wish to apply Edge AI solutions for smart checkout systems, inventory management, and personalized customer engagement.

By the end of this training, participants will be able to:

• Understand how Edge AI enhances retail operations and customer experience.
• Implement AI-powered smart checkout and cashier-less payment systems.
• Optimize inventory management with real-time tracking and analytics.
• Utilize computer vision and AI for personalized in-store experiences.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Edge AI in Retail

• Overview of Edge AI and its role in retail
• Key benefits: low latency, real-time processing, and efficiency
• Case studies of Edge AI applications in retail

Smart Checkout and Automated Payment Systems

• AI-powered cashier-less checkout technologies
• Object recognition for automatic billing
• Customer authentication and fraud prevention

Inventory Management and Stock Optimization

• Computer vision for shelf monitoring and restocking
• Real-time demand forecasting with AI
• RFID and IoT integration for automated tracking

Enhancing Customer Engagement with AI

• Personalized recommendations using Edge AI
• AI-powered virtual assistants in retail stores
• Sentiment analysis and customer behavior tracking

Deploying and Managing Edge AI Solutions in Retail

• Choosing the right hardware and software for Edge AI
• Security and compliance considerations in retail AI
• Scaling AI solutions across multiple store locations

Future Trends and Innovations in Edge AI for Retail

• Advancements in AI-powered autonomous stores
• Integrating Edge AI with augmented reality (AR) for shopping experiences
• Ethical and regulatory considerations in AI-driven retail

Summary and Next Steps