AI in e-commerce: Mastering Dynamic Pricing and Market Analysis

Course Info

Date: Jan-06-2025

Length: 1 Week

City: London

Fees: 4,350

Type: In Classroom

Available Dates

  • Jan-06-2025

    London

  • Mar-31-2025

    London

  • May-05-2025

    London

  • July-07-2025

    London

  • Sep-29-2025

    London

  • Nov-03-2025

    London

Dates in Other Venues

  • Dec-30-2024

    Dubai

  • Feb-03-2025

    Singapore

  • Feb-03-2025

    Istanbul

  • Feb-03-2025

    Paris

  • Feb-03-2025

    Barcelona

  • Feb-03-2025

    Amsterdam

  • Feb-03-2025

    Dubai

  • Feb-03-2025

    Kuala Lumpur

  • Apr-07-2025

    Dubai

  • May-05-2025

    Barcelona

  • May-05-2025

    Amsterdam

  • May-05-2025

    Paris

  • May-05-2025

    Istanbul

  • May-05-2025

    Kuala Lumpur

  • May-05-2025

    Singapore

  • June-30-2025

    Dubai

  • Aug-04-2025

    Dubai

  • Aug-04-2025

    Paris

  • Aug-04-2025

    Barcelona

  • Aug-04-2025

    Istanbul

  • Aug-04-2025

    Amsterdam

  • Aug-04-2025

    Kuala Lumpur

  • Aug-04-2025

    Singapore

  • Oct-06-2025

    Dubai

  • Nov-03-2025

    Barcelona

  • Nov-03-2025

    Paris

  • Nov-03-2025

    Singapore

  • Nov-03-2025

    Istanbul

  • Nov-03-2025

    Kuala Lumpur

  • Nov-03-2025

    Amsterdam

  • Dec-29-2025

    Dubai

Course Details

Course Outline

5 days course

Introduction to AI in eCommerce

 

  • Overview of AI's impact and capabilities in eCommerce.
  • Exploration of AI applications for dynamic pricing and consumer analytics.
  • Introduction to AI tools and technologies relevant to eCommerce.
  • Discussion on challenges and opportunities in AI adoption for online retailers.
  • Review of case studies showcasing successful AI implementations in eCommerce.

Data Handling & Predictive Analytics

 

  • Basics of Python for manipulating and analyzing eCommerce data.
  • Techniques for exploratory data analysis (EDA) tailored to eCommerce.
  • Hands-on workshop using Python libraries like Pandas and NumPy.
  • Addressing challenges in data collection and data quality.
  • Best practices for maintaining data integrity and privacy.

Machine Learning Models for eCommerce

 

  • Overview of machine learning models relevant to pricing and sales forecasts.
  • Developing predictive models for customer behavior and sales trends.
  • Workshop on building and tuning regression models for price optimization.
  • Techniques for validating and testing model accuracy and effectiveness.
  • Interactive Q&A on applying machine learning to real-world eCommerce problems.

Advanced Analytics and Personalization Techniques  

 

  • Introduction to deep learning for enhancing recommendation systems.
  • Using NLP for customer sentiment analysis and feedback interpretation.
  • Workshop on creating personalized marketing campaigns using AI.
  • Case studies on advanced AI-driven personalization and its impact on sales.
  • Discussion on integrating AI into existing e-commerce platforms.

Deployment & Future Trends in AI for eCommerce

 

  • Strategies for deploying AI solutions in eCommerce environments.
  • Ensuring compliance with legal standards and ethical considerations in AI use.
  • Discussion on emerging AI technologies and their potential future impact.
  • Presentations by participants on their projects and AI implementation plans.
  • Recap of key course concepts and feedback session for continuous improvement.