Hybrid Conferencee

International Conference on Retail and Marketing Analytics using Big Data (ICRMABD - 27)

16th - 17th January 2027 | Abu Dhabi, UAE
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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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 Abu Dhabi. 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 Abu Dhabi 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 Abu Dhabi conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Abu Dhabi, 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 Abu Dhabi."
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 12
SDG 12 Responsible Consumption and Production
Track 01

Innovative Approaches in Retail Analytics

This track focuses on the latest methodologies and frameworks in retail analytics, emphasizing innovative strategies that leverage big data. Participants will explore case studies that illustrate the successful application of these approaches in real-world retail environments.

Track 02

Predictive Analytics in Consumer Behavior

This session will delve into the role of predictive analytics in understanding and forecasting consumer behavior. Researchers will present findings on how data-driven insights can enhance customer engagement and retention strategies.

Track 03

Machine Learning Applications in Marketing

This track will examine the integration of machine learning techniques in marketing analytics, highlighting their potential to optimize campaigns and improve targeting. Attendees will gain insights into the latest algorithms and their practical implications for marketers.

Track 04

AI-Driven Retail Intelligence Systems

This session will explore the development and implementation of AI-driven systems that enhance retail intelligence. Discussions will focus on the impact of these technologies on decision-making processes and operational efficiency.

Track 05

Data Integration Techniques for Retail Analytics

This track will address the challenges and solutions associated with data integration in retail analytics. Participants will discuss best practices for combining disparate data sources to create a unified view of consumer insights.

Track 06

Business Intelligence and Data Visualization

This session will highlight the importance of business intelligence tools and data visualization techniques in retail analytics. Researchers will showcase innovative visual analytics that facilitate better decision-making and strategic planning.

Track 07

System Optimization in Retail Operations

This track will focus on methodologies for optimizing retail operations through big data analytics. Presentations will cover various optimization techniques that enhance supply chain management and inventory control.

Track 08

Personalization Strategies in Marketing

This session will explore the role of big data in developing personalized marketing strategies. Participants will discuss how data analytics can be utilized to tailor offerings to individual consumer preferences.

Track 09

Data Mining Techniques for Retail Insights

This track will investigate advanced data mining techniques that reveal actionable insights in retail settings. Researchers will present their findings on how these techniques can drive sales and improve customer satisfaction.

Track 10

Innovation Strategies in Retail Analytics

This session will focus on innovative strategies that leverage big data to transform retail analytics. Participants will explore how technological advancements are reshaping the retail landscape and driving competitive advantage.

Track 11

Emerging Trends in Big Data Analytics

This track will examine emerging trends and future directions in big data analytics within the retail sector. Discussions will include the implications of these trends for marketing strategies and consumer engagement.