International Conference on Data Science for Customer Experience

ICDSCE

15th Oct – 16th Oct 2026 Toronto, Canada

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Registration Summary

Conference ICDSCE

Date 15th Oct – 16th Oct 2026

Location Toronto, Canada

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

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.

SDG 8 SDG 9

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.

SDG 8 SDG 12

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.

SDG 9 SDG 12

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.

SDG 8 SDG 11

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.

SDG 8 SDG 9

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.

SDG 9 SDG 12

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.

SDG 8 SDG 12

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.

SDG 8 SDG 9

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.

SDG 9 SDG 12

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.

SDG 8 SDG 9

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.

SDG 8 SDG 12