International Conference on Artificial Intelligence in Consumer and Business Insights
(ICAICBI-26)

27th September 2026 || Ahmedabad - India || Hybrid Mode

Proudly Organized by INRI

Join global experts to share ideas, connect, and innovate.
🎉 Coupon Copied Successfully!

Conference Session Tracks

The International Conference on Artificial Intelligence in Consumer and Business Insights (ICAICBI), scheduled to be held on 27th September 2026 in Ahmedabad, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Data Analytics,Marketing,Business.

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 – Artificial Intelligence in Consumer Insights
    This track explores the integration of artificial intelligence in understanding consumer behavior and preferences. It aims to highlight innovative methodologies and case studies that demonstrate the impact of AI on consumer insights. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 02 – Predictive Analytics in Business Strategy
    This session focuses on the role of predictive analytics in shaping effective business strategies. Participants will discuss techniques for leveraging data to forecast trends and inform decision-making. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 03 – Data-Driven Marketing Techniques
    This track examines the application of data analytics in developing targeted marketing strategies. It seeks to uncover best practices for utilizing consumer data to enhance marketing effectiveness. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 04 – Behavioral Analysis for Market Segmentation
    This session delves into the use of behavioral analysis for effective market segmentation. Researchers will present findings on how understanding consumer behavior can lead to more precise targeting. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 05 – Decision Support Systems in Business
    This track investigates the development and implementation of decision support systems powered by AI. It aims to showcase how these systems can enhance operational efficiency and strategic decision-making. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 06 – Market Intelligence and Competitive Analysis
    This session addresses the importance of market intelligence in maintaining a competitive edge. Participants will explore tools and techniques for gathering and analyzing market data. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 07 – Customer Segmentation and Personalization
    This track focuses on advanced methodologies for customer segmentation and the subsequent personalization of marketing efforts. Discussions will center on the impact of AI in tailoring customer experiences. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 08 – Analytics Platforms for Business Insights
    This session highlights the role of analytics platforms in deriving actionable business insights. Experts will share their experiences with various tools and technologies that facilitate data analysis. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 09 – Operational Efficiency through AI
    This track explores how artificial intelligence can drive operational efficiency within organizations. Case studies will illustrate successful implementations and the resulting performance improvements. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 10 – Marketing Optimization Strategies
    This session examines strategies for optimizing marketing efforts through data analytics. Participants will discuss the integration of AI in refining marketing campaigns for better ROI. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 11 – Real-Time Analytics in Business Decision Making
    This track focuses on the significance of real-time analytics in enhancing business decision-making processes. It aims to showcase how timely data can lead to more informed and agile business 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