Hybrid Conferencee

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

20th - 21st November 2026 | Phuket, Thailand

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Phuket. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Phuket event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Phuket conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Phuket, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Phuket."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

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
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
Track 01

Innovations in Big Data Retail Analytics

This track explores the latest advancements in big data analytics specifically tailored for the retail sector. Researchers are invited to present methodologies and case studies that demonstrate the impact of analytics on retail performance and decision-making.

Track 02

E-commerce Strategies in the Age of Big Data

This session focuses on the integration of big data analytics into e-commerce strategies to enhance customer engagement and sales performance. Papers should address innovative approaches to leveraging data for competitive advantage in online markets.

Track 03

Customer Insights through Data Mining Techniques

This track aims to uncover how data mining techniques can be utilized to gain deeper customer insights in retail environments. Contributions should highlight practical applications and the implications of these insights for marketing strategies.

Track 04

Real-Time Data Analytics in Omni-Channel Retailing

This session examines the role of real-time data analytics in creating seamless omni-channel retail experiences. Researchers are encouraged to discuss tools and frameworks that facilitate real-time decision-making across multiple retail channels.

Track 05

Predictive Analytics for Retail Forecasting

This track delves into predictive analytics methodologies that enhance retail forecasting accuracy. Papers should present novel models and their applications in predicting consumer behavior and market trends.

Track 06

Data Warehousing Solutions for Retail Applications

This session focuses on the development and implementation of data warehousing solutions tailored for retail applications. Contributions should address challenges and best practices in managing large-scale retail data.

Track 07

Cloud Analytics in Retail Operations

This track explores the adoption of cloud analytics in optimizing retail operations and enhancing data accessibility. Researchers are invited to discuss the benefits and challenges associated with cloud-based solutions in the retail sector.

Track 08

Market Analysis Techniques Using Big Data Tools

This session emphasizes the application of big data tools for comprehensive market analysis in retail. Papers should explore innovative techniques that provide actionable insights into market dynamics and consumer preferences.

Track 09

Transaction Data Analysis for Consumer Behavior Insights

This track investigates the analysis of transaction data to derive insights into consumer behavior patterns. Researchers are encouraged to present studies that link transaction data analysis to marketing strategies and customer retention.

Track 10

Emerging Trends in Retail Consumer Behavior

This session focuses on identifying and analyzing emerging trends in retail consumer behavior through big data analytics. Contributions should aim to provide a forward-looking perspective on how consumer preferences are evolving.

Track 11

Challenges and Opportunities in Large-Scale Data Processing

This track addresses the challenges and opportunities associated with large-scale data processing in the retail sector. Papers should discuss technological advancements and strategies for effectively managing and analyzing vast amounts of retail data.