- Level: Beginner
- Prerequisites: None
- Assessments: Weekly Micro Assessments; Full Assessment in the Final Week
Week 1: Introduction to AI in Retail
Learning Outcome: Understand AI's role in transforming the retail industry.Overview of retail challenges and opportunities.
AI-powered personalization in shopping.
Examples of AI success stories in retail.
Practical Component
Analyze customer data for patterns.
Week 2: Customer Insights and Behavior Prediction
Learning Outcome: Learn how AI predicts customer preferences.Using AI for behavior tracking and predictions.
Recommendation engines and personalization algorithms.
Analyzing purchase histories for insights.
Practical Component
Create a simple recommendation system.
Week 3: AI for Retail Operations
Learning Outcome: Explore AI applications in inventory and operations.AI for inventory forecasting and management.
Automated pricing and dynamic discounts.
Optimizing supply chains with AI.
Practical Component
Simulate inventory management using AI tools.
Week 4: Enhancing In-Store and Online Shopping
Learning Outcome: Improve the shopping experience using AI.AI-powered virtual assistants and chatbots.
Augmented Reality (AR) for virtual try-ons.
Improving online shopping with predictive search.
Practical Component
Develop a chatbot for an e-commerce store.
Week 5: Ethical AI in Retail
Learning Outcome: Learn to implement AI responsibly in retail.Data privacy and security in retail AI.
Avoiding biases in retail AI models.
Customer trust and transparency.
Practical Component
Analyze a case study on ethical AI failures in retail.
Week 6: Final Project
Learning Outcome: Develop an AI application for a retail scenario.Define a retail case (e.g., inventory management).
Develop and test your solution.
Present your results to peers.
Practical Component
Deliver a fully functional AI retail model.