- This course delves into AI applications in retail, focusing on customer experience optimization, inventory management, and sales forecasting. Tailored for retail managers, analysts, and e-commerce professionals, the course will provide AI tools to enhance retail operations.
- Level: Intermediate
- Prerequisites: Background in retail management or e-commerce operations.
- Assessments: Micro Assessment weekly, Full Assessment in the final week.
Week 1 - AI for Customer Personalization and Engagement
Learning OutcomeLearn how AI enhances customer experience through personalization.
1.1 AI for recommendation systems and personalized product suggestions.1.2 Customer behavior analysis using AI-driven insights.
1.3 Implementing chatbots and virtual assistants for customer service.
Practical Component
Develop an AI-based recommendation system for a retail e-commerce platform
Week 2 - AI for Inventory Management and Demand Forecasting
Learning OutcomeUnderstand how AI optimizes inventory levels and predicts demand trends
2.1 Predictive analytics for inventory management and stock replenishment.2.2 AI-driven demand forecasting for optimizing product availability.
2.3 Reducing waste and improving supply chain efficiency using AI.
Practical Component
Implement an AI model for demand forecasting and inventory management
Week 3 - AI for Sales and Marketing Optimization
Learning OutcomeExplore AI tools that enhance sales and marketing strategies.
3.1 Using AI for targeted marketing and customer segmentation.3.2 AI for analyzing customer feedback and sentiment analysis.
3.3 Leveraging AI for dynamic pricing and promotions.
Practical Component
Build an AI-driven marketing campaign optimization model
Week 4 - AI for Fraud Detection and Security in Retail
Learning OutcomeLearn how AI helps prevent fraud and ensures secure transactions in retail
4.1 AI for detecting fraudulent transactions and chargebacks.4.2 Machine learning models for customer behavior anomaly detection.
4.3 AI-driven solutions for payment security and data protection.
Practical Component
Develop an AI model to detect fraudulent activities in retail transactions.
Week 5 - AI for Omnichannel Retail and Supply Chain Management
Learning OutcomeUnderstand AI's role in enhancing omnichannel retail strategies and optimizing supply chains.
5.1 Using AI for seamless integration of online and offline shopping experiences.5.2 AI for managing supply chain logistics and delivery optimizations.
5.3 Real-time analytics for customer order tracking and fulfillment.
Practical Component
Design an AI-powered omnichannel retail solution.
Week 6 - Capstone Project and Assessment
Learning OutcomeImplement an AI-driven solution for a retail business challenge
6.1 Create a real-world AI solution for customer engagement, inventory management, or sales optimization.6.2 Peer assessment and feedback.
6.3 Final project presentation and evaluation.
Practical Component
Present your AI-based retail project, demonstrating its impact on business operations and customer satisfaction.