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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.
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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
  • Overview of the Retail Industry
    Importance of Optimization in Retail
    Introduction to Data-driven Decision Making
  • Fundamentals of Retail Analytics
  • Key Retail Metrics and KPIs
    Data Collection and Management in Retail
    Descriptive Analytics for Retail
  • Machine Learning in Retail
  • Introduction to Machine Learning Concepts
    Machine Learning Techniques Used in Retail
    Case Studies: Machine Learning Applications in Retail
  • Demand Forecasting and Inventory Management
  • Techniques for Demand Forecasting
    Inventory Optimization Strategies
    Software Solutions for Inventory Management
  • Pricing Optimization
  • Dynamic Pricing Models
    Competitor and Market Analysis
    Implementing Price Optimization Tools
  • Personalization and Customer Segmentation
  • Customer Data and Segmentation Methods
    Personalization Techniques in Retail
    Use of AI for Customer Targeting
  • Supply Chain Optimization
  • Retail Supply Chain Challenges
    Techniques for Supply Chain Optimization
    Role of AI and Machine Learning in the Supply Chain
  • Enhancing Customer Experience
  • Analyzing Retail Customer Journeys
    Implementing AI for Better Customer Service
    Case Studies: Successful Customer Experience Strategies
  • Store Layout and Merchandising Optimization
  • Data-Driven Store Layout Design
    Optimizing Product Placement
    Technology Tools for Visual Merchandising
  • Ethics and Challenges in Retail AI
  • Data Privacy and Ethical Concerns
    Challenges of Implementing AI in Retail
  • Project: Retail Optimization Strategy
  • Develop a comprehensive strategy using the techniques learned
    Present a case study of a retail company implementing optimization techniques
  • Course Conclusion and Future Trends
  • Recap of Key Learnings
    Future Trends in Retail Technology
    Opportunities and Career Paths in Retail AI

Subjects

Data Science