ISAR Conference

Academic Program

Conference Session Tracks

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 — Decent Work and Economic Growth

SDG 9 — Industry, Innovation and Infrastructure

SDG 11 — Sustainable Cities and Communities

SDG 12 — Responsible Consumption and Production

Session Tracks

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.