ICDAES · Registering as Listener

International Conference on Data Analytics for E-Commerce Strategies

10th Dec – 11th Dec 2026 Bogra, Bangladesh Standard / Physical Participation
Listener Registration From
$—
$— 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.

For Support Please Contact

Coupon code

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

Apply
VISA MC AMEX UPI

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

Registration summary

ConferenceICDAES
ModeStandard / Physical
ParticipationListener
Registration fee$—
Bank charges (5.8%)$—
Discount-$0.00
Total payable $—

Includes all bank processing charges — the amount above is exactly what will be charged. View charge breakdown

Need help?

Contact our registration team:

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
SDG Wheel

SDG-Aligned Research Themes

International Conference on Data Analytics for E-Commerce Strategies 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 10 - Reduced Inequalities SDG 12 - Responsible Consumption and Production

This track focuses on the integration of data analytics into e-commerce strategies to enhance business performance. It will explore case studies and methodologies that demonstrate the impact of data-driven decision-making on e-commerce success.

This session will delve into the use of predictive modeling techniques to forecast consumer behavior and sales trends in the e-commerce sector. Participants will discuss innovative models that drive strategic planning and operational efficiency.

This track emphasizes the importance of customer insights in shaping personalized e-commerce experiences. Presentations will highlight analytical approaches that enhance customer engagement and satisfaction through tailored offerings.

This session will examine the role of business intelligence tools in measuring and optimizing e-commerce performance metrics. Discussions will focus on how data visualization and reporting can inform strategic decisions.

This track will explore the transformative potential of big data analytics in the e-commerce landscape. Researchers will present findings on how large datasets can be leveraged to drive competitive advantage and innovation.

This session will investigate the development and implementation of recommendation systems that influence consumer purchasing decisions. Insights into algorithmic approaches and their impact on user experience will be shared.

This track will focus on strategies for optimizing conversion rates in e-commerce platforms through data analytics. Participants will discuss best practices and tools that enhance the customer journey and drive sales.

This session will cover the application of marketing analytics to measure the effectiveness of e-commerce campaigns. Attendees will explore techniques for analyzing marketing data to improve ROI and customer acquisition.

This track will highlight the integration of artificial intelligence in e-commerce operations and customer interactions. Presentations will showcase AI-driven innovations that enhance efficiency and customer satisfaction.

This session will explore the role of cloud computing in facilitating scalable e-commerce solutions. Discussions will focus on the benefits of cloud infrastructure for data storage, processing, and analytics.

This track will investigate the unique challenges and opportunities presented by emerging markets in the e-commerce space. Researchers will present analyses of market trends and consumer behavior that shape e-commerce strategies in these regions.

COPYRIGHT © 2026 International Conference on Data Analytics for E-Commerce Strategies. ALL RIGHTS RESERVED