Hybrid Conferencee

International Conference on Data Science for Customer Experience (ICDSCE - 26)

23rd - 24th September 2026 | Kuala Lumpur, Malaysia

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Kuala Lumpur. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Kuala Lumpur event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Kuala Lumpur conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Kuala Lumpur, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Kuala Lumpur."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
Track 01

Predictive Analytics in Customer Experience

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

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

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.

Track 04

Mapping the Customer Journey with Data

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

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

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.

Track 07

Recommendation Systems in Marketing

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

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

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.

Track 10

CX Metrics and Performance Measurement

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

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.