On-location / Digital Conference

International Conference on Big Data in Retail and Online Markets (ICBDROM-26)

28th - 29th Nov 2026,Florence, Italy

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 Florence ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Florence conference.
  • Peer Review Process:
    The peer review process will begin soon for Florence conference.
  • Networking with Global Experts:
    Join global experts at our conference in Florence.
  • 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 ICBDROM 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 Big Data in Retail and Online Markets, encouraging applied research, case studies, and industry-driven innovations.

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

  • Big data applications in retail analytics
  • Consumer behavior insights from big data
  • Challenges of big data integration in retail
  • Using big data for personalized marketing
  • Impact of big data on inventory management
  • Case studies of big data success in retail
  • Data-driven decision making in retail
  • Future trends in big data analytics
  • Big data and customer experience enhancement
  • Ethics of big data usage in retail
  • Role of AI in big data analytics
  • Big data for supply chain optimization
  • Predictive analytics for retail forecasting
  • Big data security challenges in retail
  • Leveraging big data for competitive advantage
  • Data visualization techniques for retailers
  • Integrating online and offline data sources
  • Impact of big data on pricing strategies
  • Big data tools for small retailers
  • Emerging technologies in big data analytics

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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