On-location / Digital Conference

International Conference on Machine Learning in Consumer Analytics (ICMLCA-26)

28th - 29th Nov 2026,Lisbon, Portugal

In Association With:

Call for Paper


Important Dates


Early Bird Registration

29th Oct 2026

Paper Submission Deadline

3rd November 2026

Registration Deadline

13th November 2026

Conference Date

28th - 29th Nov 2026

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Lisbon ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Lisbon conference.
  • Peer Review Process:
    The peer review process will begin soon for Lisbon conference.
  • Networking with Global Experts:
    Join global experts at our conference in Lisbon.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICMLCA bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Machine Learning in Consumer Analytics, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Machine learning applications in consumer analytics
  • Data-driven decision making in retail
  • Predictive modeling for consumer behavior analysis
  • Ethics of machine learning in marketing
  • Real-time analytics for consumer insights
  • Consumer segmentation using machine learning techniques
  • Challenges in implementing machine learning solutions
  • Impact of AI on consumer trust and loyalty
  • Case studies of successful machine learning projects
  • Future trends in machine learning analytics
  • Integrating machine learning with traditional methods
  • Role of big data in consumer analytics
  • Machine learning for personalized marketing strategies
  • Understanding consumer sentiment through AI
  • Leveraging machine learning for product recommendations
  • Cross-industry applications of consumer analytics
  • Impact of economic changes on consumer behavior
  • Machine learning and customer journey mapping
  • Emerging technologies in consumer analytics
  • AI-driven insights for market segmentation

Assessment

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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