1 7178835943 | [email protected]

ICAIDC · Registering as Listener

International Conference on Artificial Intelligence in Digital Commerce

5th Dec – 6th Dec 2026 Bruges, Belgium 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.

Standard / Physical $—

On-site keynotes, talks, workshops, networking, conference kit and certificate.

Select

Virtual $—

Live streaming access to all sessions, digital materials and certificate.

Select

All sessions Networking Certificate Invitation letter Conference kit

Amount:

Your details

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

Full Name *

Email Address *

Mobile Number *

City *

State *

Country *

Zip / Postal Code

Address

Credit Card

Debit Card

Net Banking

Cash Card

Unified Payments

For Support Please Contact

[email protected]

Coupon code

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

Apply

I agree to the Terms & Conditions and Refund & Cancellation Policy

VISA MC AMEX UPI

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

Registration summary

ConferenceICAIDC

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:

1 7178835943

[email protected]

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-Aligned Research Themes

International Conference on Artificial Intelligence in Digital Commerce conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 9 - Industry, Innovation and Infrastructure

SDG 12 - Responsible Consumption and Production

This track explores the latest innovations in artificial intelligence that are transforming marketing practices. It will focus on the application of AI technologies in developing targeted marketing strategies and enhancing customer engagement.

This session will delve into the role of data analytics in optimizing e-commerce platforms. Participants will discuss methodologies for leveraging data to improve operational efficiency and enhance user experience.

This track examines the deployment of intelligent agents in digital commerce environments. It will highlight case studies and research on how these agents enhance customer service and streamline transactions.

This session focuses on the application of deep learning techniques to predict consumer behavior in digital marketplaces. Researchers will present findings on how these models can improve marketing outcomes.

This track investigates the use of natural language processing technologies in enhancing e-commerce interactions. Topics will include chatbots, sentiment analysis, and automated customer support systems.

This session will explore the development and implementation of AI algorithms for personalized product recommendations. Discussions will center on the impact of these recommendations on consumer engagement and sales.

This track focuses on the integration of artificial intelligence in physical retail environments. It will cover innovations such as computer vision and smart inventory management systems.

This session will highlight innovative AI-driven solutions that are reshaping the e-commerce landscape. Participants will discuss emerging trends and their implications for future business models.

This track examines the role of predictive analytics in enhancing business decision-making processes. Researchers will present methodologies and case studies demonstrating the effectiveness of predictive models.

This session will explore how AI technologies are influencing decision-making in business economics. Discussions will focus on the implications of AI for strategic planning and resource allocation.

This track investigates how AI technologies can provide insights into consumer behavior patterns. Participants will discuss methodologies for analyzing consumer data and the implications for marketing strategies.