[email protected] +91 9789129171
ICRMABD · Registering as Listener

International Conference on Retail and Marketing Analytics using Big Data

16 - 17 Apr 2027 Glasgow, UK Standard / Physical Participation
Listener Registration
$115
virtual · $175 in person
Registration Benefits:
Official invitation letterIssued automatically after registration
Certificate & digital materialsGet certificate, slides and resource materials
Supporting global researchConnect with researchers across 30+ countries

Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.

All sessions Networking Certificate Invitation letter Conference kit

Your details

We only need what's required to register and email your confirmation. Everything else is optional.


Coupon code

Have a code? Apply it here — the discount updates the total immediately.


Payments encrypted & processed securely. Refundable up to 14 days before the event.

Registration summary

ConferenceICRMABD
ModeStandard / Physical
ParticipationListener
Registration fee$175.00
Bank charges (5.8%)$10.15
Total payable$185.15
Includes all bank processing charges — the amount above is exactly what will be charged.

Need help?

Contact our registration team:

+91 9789129171

Benefits of Registering as Listener

Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDGs
SDG-Aligned Research Themes

ICRMABD conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation and Infrastructure SDG 12 - Responsible Consumption and Production SDG 17 - Partnerships for the Goals
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.