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Course Outline
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
Requirements
- 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
21 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 4800 € + VAT*
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