International Conference on Real-Time Analytics in Online Commerce
(ICRTAOC-26)

24th October 2026 || Bhubaneswar - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Real-Time Analytics in Online Commerce (ICRTAOC), scheduled to be held on 24th October 2026 in Bhubaneswar, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Data Analytics,E-commerce,Marketing.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Innovations in Real-Time Data Analytics
    This track explores cutting-edge methodologies and technologies in real-time data analytics. It aims to highlight advancements that enhance decision-making processes in online commerce. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 02 – E-commerce Strategies Leveraging Streaming Data
    This session focuses on the strategic applications of streaming data in e-commerce. Participants will discuss how real-time insights can drive competitive advantages and improve customer engagement. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 03 – Predictive Analytics for Instant Decision Making
    This track examines the role of predictive analytics in facilitating immediate decision-making in online commerce. It will cover models and techniques that enable businesses to anticipate consumer behavior effectively. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 04 – Real-Time Marketing Techniques and Tools
    This session delves into innovative marketing strategies that utilize real-time data analytics. Attendees will learn about tools and frameworks that enhance marketing effectiveness through timely insights. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 05 – Consumer Behavior Monitoring in Real-Time
    This track investigates methods for monitoring and analyzing consumer behavior in real-time. Discussions will center on how real-time insights can inform marketing and sales strategies. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 06 – Event Processing in E-commerce Systems
    This session focuses on the integration of event processing technologies within e-commerce platforms. Participants will explore how these technologies can enhance responsiveness and operational efficiency. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 07 – Building Effective Data Pipelines for Real-Time Analytics
    This track addresses the design and implementation of data pipelines that support real-time analytics. It will cover best practices for ensuring data integrity and accessibility in high-frequency transaction environments. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 08 – Real-Time Dashboards for Business Intelligence
    This session highlights the importance of real-time dashboards in providing actionable business intelligence. Attendees will learn about design principles and key metrics that drive performance monitoring. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 09 – Stream Processing Tools for E-commerce Applications
    This track explores various stream processing tools and their applications in the e-commerce sector. Participants will discuss the advantages and challenges of implementing these tools for real-time data handling. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 10 – High-Frequency Transactions and Data Analytics
    This session investigates the implications of high-frequency transactions on data analytics strategies. Discussions will focus on the need for rapid processing and analysis to maintain competitive edge. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 11 – Immediate Feedback Mechanisms in Online Commerce
    This track examines the role of immediate feedback mechanisms in enhancing customer experience in online commerce. Participants will explore how real-time feedback can inform product development and marketing strategies. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 8 SDG 8
    Decent Work and Economic Growth
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 12 SDG 12
    Responsible Consumption and Production

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

Phone: +91 9677007228