Hybrid Conferencee

International Conference on Demand Forecasting in Supply Chain and Business (ICDFSCB - 26)

19th - 20th November 2026 | Tokyo, Japan

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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 Tokyo. 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 Tokyo 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 Tokyo conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Tokyo, 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 Tokyo."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICDFSCB aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Supply Chain,Logistics,Business, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Demand forecasting techniques in supply chains
02
Impact of AI on demand forecasting
03
Data analytics for supply chain optimization
04
Collaborative forecasting in business networks
05
Role of machine learning in demand prediction
06
Seasonal demand forecasting methods
07
Challenges in accurate demand forecasting
08
Consumer behavior analysis for forecasting
09
Integration of IoT in demand forecasting
10
Forecasting for new product launches
11
Supply chain resilience and demand forecasting
12
Quantitative vs qualitative forecasting methods
13
Forecasting in uncertain economic conditions
14
Utilizing big data for demand insights
15
Cross-industry demand forecasting applications
16
Ethical considerations in demand forecasting
17
Impact of globalization on demand patterns
18
Forecasting for e-commerce supply chains
19
Real-time demand forecasting technologies
20
Future trends in demand forecasting