HYBRID EVENT
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Florence, Italy
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ICAIIDC · Registering as Listener
International Conference on Artificial Intelligence in Digital Commerce
15–16 Oct 2026
Florence, Italy
Standard / Physical
Participation
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$
155
virtual · $195 in person
Registration Benefits:
Official invitation letter
Issued automatically after registration
Certificate & digital materials
Get certificate, slides and resource materials
Supporting global research
Connect with researchers across 30+ countries
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Standard / Physical
$195
On-site keynotes, talks, workshops, networking, conference kit and certificate.
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$155
Live streaming access to all sessions, digital materials and certificate.
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1. Policy on Cancellations & Refunds :
A full refund is possible only if the cancellation request is submitted at least 70 days before the conference, with formal paperwork completed at least 60 days prior.
If cancellation occurs between 60 and 30 days before the event, partial refunds may be granted based on administrative costs incurred.
Cancellations made within 30 days of the event are non-refundable, though participants will receive a credit valid for one year.
Registrations made less than 30 days before the event are not eligible for refunds, but may be transferred to another ISIT conference.
Since this conference is hybrid format, the organizer reserves the right to conduct the event either in-person or virtually. Please note that no refunds will be issued due to changes in the event format.
Virtual registration fees are non-refundable. A credit will instead be issued for use at a future conference event.
2. Participation & Registration Requirements :
To attend an ISIT event, participants must complete the registration process within the stipulated time.
The event schedule, venue, and format are subject to changes at the discretion of the organizers, with prior notice sent via email.
ISIT is not liable for any financial losses resulting from changes in event details.
Fees paid for registration are strictly non-refundable.
If the primary author cannot participate, a co-author may attend instead, but refunds will not be granted for non-attendance.
3. Submission & Publication Norms :
Researchers submitting papers to ISIT must ensure their institution or supervisor is aware of their submission.
Each submission is subject to a rigorous peer review before being accepted for presentation.
Only papers linked to a completed registration will be included in conference proceedings.
The submitting author is considered the primary author; ISIT does not verify individual authorship claims.
If any concerns regarding authorship arise and are validated, the paper will be withdrawn without reconsideration.
Once a paper is removed, it cannot be reintroduced into any ISIT publication.
4. Travel & Accommodation Responsibilities :
Attendees are responsible for making their own travel and lodging arrangements.
ISIT does not provide logistical assistance for travel or accommodation.
The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
5. Visa & Invitation Letter Policy :
Attendees are responsible for making their own travel and lodging arrangements.
ISIT does not provide logistical assistance for travel or accommodation.
The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
ISIT does not engage directly with consulates or embassies on behalf of attendees.
Participants must handle their own visa applications and processes.
Important Information Regarding Invitation Letters:
The invitation letter is provided solely for conference attendance and does not serve as a document for immigration, employment, or residency purposes.
The letter assists in visa applications but does not guarantee visa approval.
ISIT holds no responsibility for visa denials or processing delays, and all related costs are borne by the applicant.
Any alterations or unauthorized use of the invitation letter will result in its invalidation and possible cancellation of conference participation.
Legal action may be pursued if the document is misused.
By accepting the invitation letter, attendees agree to comply with international travel regulations and ethical participation standards.
6. Registration Transfers :
Registrations may be transferred to another individual from the same institution if the original participant cannot attend.
Transfer requests must be made via email to
[email protected]
with necessary details and supporting documents.
Transfers must be requested at least 14 days before the event; otherwise, they will not be accommodated.
Transferred registrations are not eligible for refunds.
7. General Considerations :
Any modifications or cancellations must be communicated in writing to
[email protected]
.
Registration confirms acknowledgment and acceptance of these policies.
ISIT does not initiate automatic transactions; all payments are voluntarily completed by registrants.
Once registered, participants must submit a conference registration form within three days for confirmation.
Travel plans should only be finalized after receiving the official conference itinerary, which will be shared 15 days before the event.
8. Conference Programme and Participation Policy :
Presentations from different but relevant academic areas may be combined by the Organiser within an interdisciplinary or multidisciplinary programme to encourage cross-disciplinary understanding, interaction, and future research partnerships.
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What you'll hear about
Session tracks covered across the event.
View all 11 tracks →
01
Advancements in AI-Driven Marketing Strategies
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.
02
Data Analytics for E-Commerce Optimization
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.
03
Intelligent Agents in Digital Commerce
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.
04
Deep Learning Applications in Consumer Behavior Prediction
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.
05
Natural Language Processing in E-Commerce
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.
06
Personalized Recommendations through AI Algorithms
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.
07
Smart Retail: Integrating AI in Physical Stores
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.
08
E-Commerce Innovation and AI-Driven Solutions
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.
09
Predictive Analytics for Business Decision Making
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.
10
AI-Powered Decision Making in Business Economics
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.
11
Consumer Behavior Insights through AI Technologies
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.