AI and Advanced Analytics in Retail

Overview

Explore key ML, DL, RL, and Graph Analytics use cases in Retail, with a demo of Microsoft Azure AI platform's MLOps capabilities in a Retail environment.

Syllabus

• Introduction to AI in Retail
Overview of AI technologies and their impact on the retail industry
Key challenges and opportunities in AI adoption in retail
• Machine Learning (ML) Use Cases in Retail
Customer segmentation and personalization
Demand forecasting and inventory management
Price optimization and dynamic pricing strategies
• Deep Learning (DL) Applications in Retail
Image recognition for product identification and visual search
Natural language processing for sentiment analysis and customer service
Recommender systems for enhancing the shopping experience
• Reinforcement Learning (RL) in Retail
Dynamic pricing and inventory control
Personalized promotions and offers
Automated supply chain management
• Graph Analytics in Retail
Understanding customer behavior through social network analysis
Fraud detection and prevention using graph-based methods
Enhancing product recommendation systems with graph theory
• Exploring Microsoft Azure AI Platform
Overview of Azure AI services and tools relevant to retail
Setting up a retail MLOps pipeline on Microsoft Azure
Case study: Implementing a predictive analytics solution in retail using Azure
• Practical Demonstrations
End-to-end execution of a retail AI project using Azure
Live demonstration of deploying ML models with Azure MLOps
• Ethical and Responsible AI in Retail
Addressing bias and fairness in AI models
Ensuring data privacy and security for customers
Compliance with regulations and best practices
• Future Trends and Innovations in Retail AI
The role of AI in shaping the future retail landscape
Emerging technologies and their potential impact
Strategies for staying competitive with AI advancements
• Course Review and Wrap-up
Summary of key concepts and learnings
Interactive Q&A session with course participants
Resources for further learning and exploration in AI applications for retail

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Subjects

Data Science