• 08:00

    REGISTRATION & LIGHT BREAKFAST

  • 09:00

    WELCOME NOTE

  • INDUSTRY INSIGHTS

  • 09:15

    AI-Driven Retail

  • 09:35

    Bootstrap, Synthetic Data and Hybrid Recommendations: Leveraging Data from Day One

  • 09:55

    Insights from Engineering Europe's Largest Marketing Platform for Fashion

  • INFRASTRUCTURES & FRAMEWORKS

  • 10:15

    A Framework For Understanding, Exploration and Forecasting

  • 10:35

    COFFEE & NETWORKING BREAK

  • 11:15

    The Growth of AI Open-Source Software in Unexpected Platforms

  • 11:35

    Machine Learning in Production: Beyond Training the Model

  • 11:55

    Applied Intelligence: A Scalable Path to Production for Your AI Initiatives

  • 12:15

    Digital Transformation: Using Applied AI to Disrupt Convenience

  • 12:35

    LUNCH

  • TREND PREDICTION

  • 13:40

    Implementation of Churn Prediction and its Efficiency Estimation

  • 14:00

    Using Computer Vision to predict Fashion Trends

  • 14:20

    AI in Manufacturing Production: Challenges and Opportunities

  • CUSTOMER SERVICE

  • 14:40

    Building AI to Better Understand & Respond to Your Customer

  • 15:00

    COFFEE & NETWORKING BREAK

  • 15:40

    Evolution of AI & Machine Learning in Customer Experience - Beyond Interfaces

  • 16:00

    Superior Customer Service with AI

  • 16:20

    Panel: The Rise of Automation: How Will Retail be Impacted?

  • 17:00

    NETWORKING RECEPTION

  • 18:00

    END OF DAY 1

  • 08:00

    DOORS OPEN & LIGHT BREAKFAST

  • 09:00

    WELCOME NOTE

  • PERSONALISATION & RECOMMENDATIONS

  • 09:15

    Developing an End-to-End Personalization Engine

  • 09:35

    How Fashion Retailers are Using AI Styling for Personalisation

  • 09:55

    A Neural Collaborative Filtering Model for Product Size Recommendations

  • 10:15

    Hybrid Recommender Systems in Light of Privacy and the General Data Protection Regulation

  • 10:35

    COFFEE & NETWORKING BREAK

  • AI APPLICATIONS IN INDUSTRY

  • 11:15

    Data Science Applications in Retail Pricing and Promotions

  • 11:35

    The Future of NLP in e-Commerce: Generative Multimodal Language Models

  • 11:55

    Customer Complaints Classification

  • Personalizing The Online Grocery Substitution Experience

  • 12:35

    LUNCH

  • 13:40

    Deep Learning in Advertisement

  • 14:00

    Get The Price Right In Retail- Understand Your Customers' Real-Time Willingness To Pay

  • 14:20

    Panel- What Can Be Expected From The Future Of Retail

  • 15:00

    NETWORKING RECEPTION

  • 16:00

    END OF SUMMIT

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