Hybrid Conferencee

International Conference on Data Science for Customer Experience (ICDSCE - 27)

20th - 21st April 2027 | California, USA
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Conference Programme

Tentative Conference Agenda

Explore the proposed two-day programme developed around the conference Session Tracks and aligned United Nations Sustainable Development Goals.

Conference Format Hybrid Conference In-person and virtual participation
Programme 2 Days 20–21 April 2027
Academic Scope 11 Tracks Conference Session Tracks
Research Scope 20 Areas Call for Papers themes
SDG Alignment 4 SDGs SDGs 8, 9, 11 and 12
Tentative Agenda & Timings

Session timings, sequence, track grouping and allocations are tentative and subject to change. Final timings will be confirmed closer to the conference. All timings follow the local time of the conference location.

Day 01

Opening, Keynote & Technical Sessions

20 APR 2027 HYBRID
  1. 09:00 AM 09:30 AM

    Registration, Welcome Kit Collection & Virtual Check-in

    Participant arrival, credential verification and virtual lobby access.

    HYBRID
  2. 09:30 AM 09:45 AM

    Networking Tea & Digital Welcome

    Informal networking for on-site and virtual participants.

    HYBRID
  3. 09:45 AM 10:30 AM

    Welcome Address, Opening Plenary & Keynote Presentation I

    Opening of the conference and introduction to its research focus.

    PLENARY
  4. 10:30 AM 12:30 PM

    Concurrent Technical Session I

    3 TRACKS
    Track 01
    Predictive Analytics in Customer Experience
    89
    Track Overview

    This track focuses on the application of predictive analytics techniques to enhance customer experience. Participants will explore methodologies for forecasting customer behavior and preferences through data-driven insights.

    Track 02
    Personalization Strategies in E-commerce
    812
    Track Overview

    This session examines the role of data science in developing personalized shopping experiences in e-commerce. Discussions will include algorithms and frameworks that enable tailored recommendations and targeted marketing.

    Track 03
    Sentiment Analysis for Brand Management
    912
    Track Overview

    This track delves into sentiment analysis as a tool for understanding customer perceptions and brand reputation. Researchers will present innovative approaches to analyze customer feedback and social media interactions.

  5. 12:30 PM 01:30 PM

    Lunch & Networking Break

    Refreshment interval and networking opportunity.

    BREAK
  6. 01:30 PM 03:30 PM

    Concurrent Technical Session II

    3 TRACKS
    Track 04
    Mapping the Customer Journey with Data
    811
    Track Overview

    This session highlights techniques for mapping customer journeys using data analytics. Attendees will learn how to visualize and optimize touchpoints to improve overall customer satisfaction.

    Track 05
    Behavioral Modeling for Enhanced Engagement
    89
    Track Overview

    This track explores behavioral modeling techniques to predict and influence customer actions. Participants will discuss the integration of machine learning algorithms to enhance customer engagement strategies.

    Track 06
    Experience Optimization through Data Insights
    912
    Track Overview

    This session focuses on leveraging real-time data insights to optimize customer experiences. Experts will share case studies and frameworks that demonstrate effective experience enhancement.

  7. 03:30 PM 04:00 PM

    Interactive Q&A, Day 1 Summary & Group Photo

    Closing interaction and key takeaways from the first day.

    CLOSING
View Day 02 Schedule →
Day 02

Keynote, Technical Sessions & Awards

21 APR 2027 HYBRID
  1. 09:00 AM 09:15 AM

    Participant Check-in & Day 2 Welcome

    On-site attendance confirmation and virtual lobby access.

    HYBRID
  2. 09:15 AM 10:00 AM

    Keynote Presentation II

    Expert address on the future of the conference research domain.

    PLENARY
  3. 10:00 AM 12:00 PM

    Concurrent Technical Session III

    3 TRACKS
    Track 07
    Recommendation Systems in Marketing
    812
    Track Overview

    This track investigates the development and implementation of recommendation systems in marketing strategies. Discussions will center on algorithms that drive customer engagement and conversion rates.

    Track 08
    Data-Driven Engagement Strategies
    89
    Track Overview

    This session emphasizes the importance of data-driven strategies in fostering customer engagement. Participants will explore various analytical tools and techniques that inform effective engagement practices.

    Track 09
    Machine Learning Applications in CX
    912
    Track Overview

    This track examines the integration of machine learning technologies in enhancing customer experience. Researchers will present innovative applications that improve service delivery and customer satisfaction.

  4. 12:00 PM 01:00 PM

    Lunch & Networking Break

    Refreshment interval and professional networking.

    BREAK
  5. 01:00 PM 03:00 PM

    Concurrent Technical Session IV

    2 TRACKS
    Track 10
    CX Metrics and Performance Measurement
    89
    Track Overview

    This session focuses on identifying and measuring key metrics that define customer experience success. Attendees will learn about frameworks for evaluating performance and driving continuous improvement.

    Track 11
    Customer Profiling and Segmentation Techniques
    812
    Track Overview

    This track explores advanced techniques for customer profiling and segmentation using data analytics. Participants will discuss methodologies that enable targeted marketing and personalized customer interactions.

  6. 03:00 PM 03:30 PM

    Publications, Best Paper & Best Presentation Awards

    Publication guidance and recognition of outstanding research contributions.

    AWARDS
  7. 03:30 PM 04:00 PM

    Valedictory Session, Closing Remarks & Group Photo

    Conference summary, acknowledgements and formal conclusion.

    CLOSING
← Back to Day 01 Schedule
Aligned SDGs
8 Decent Work and Economic Growth 9 Industry, Innovation and Infrastructure 11 Sustainable Cities and Communities 12 Responsible Consumption and Production

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