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Starts 2 June 2025 15:06
Ends 2 June 2025
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Smart Retailing: Optimization Techniques for Strategic Success
Dive into data-driven retail optimization techniques, leveraging analytics and machine learning to enhance decision-making, streamline processes, and boost profitability in the retail sector.
Data Science Festival
via YouTube
Data Science Festival
2408 Courses
1 hour 2 minutes
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Overview
Dive into data-driven retail optimization techniques, leveraging analytics and machine learning to enhance decision-making, streamline processes, and boost profitability in the retail sector.
Syllabus
- Introduction to Smart Retailing
- Fundamentals of Retail Analytics
- Machine Learning in Retail
- Demand Forecasting and Inventory Management
- Pricing Optimization
- Personalization and Customer Segmentation
- Supply Chain Optimization
- Enhancing Customer Experience
- Store Layout and Merchandising Optimization
- Ethics and Challenges in Retail AI
- Project: Retail Optimization Strategy
- Course Conclusion and Future Trends
Overview of the Retail Industry
Importance of Optimization in Retail
Introduction to Data-driven Decision Making
Key Retail Metrics and KPIs
Data Collection and Management in Retail
Descriptive Analytics for Retail
Introduction to Machine Learning Concepts
Machine Learning Techniques Used in Retail
Case Studies: Machine Learning Applications in Retail
Techniques for Demand Forecasting
Inventory Optimization Strategies
Software Solutions for Inventory Management
Dynamic Pricing Models
Competitor and Market Analysis
Implementing Price Optimization Tools
Customer Data and Segmentation Methods
Personalization Techniques in Retail
Use of AI for Customer Targeting
Retail Supply Chain Challenges
Techniques for Supply Chain Optimization
Role of AI and Machine Learning in the Supply Chain
Analyzing Retail Customer Journeys
Implementing AI for Better Customer Service
Case Studies: Successful Customer Experience Strategies
Data-Driven Store Layout Design
Optimizing Product Placement
Technology Tools for Visual Merchandising
Data Privacy and Ethical Concerns
Challenges of Implementing AI in Retail
Develop a comprehensive strategy using the techniques learned
Present a case study of a retail company implementing optimization techniques
Recap of Key Learnings
Future Trends in Retail Technology
Opportunities and Career Paths in Retail AI
Subjects
Data Science