Hybrid Conference (In Person / Virtual)

International Conference on Business Forecasting and Predictive Modeling (ICBFPM - 27)
27th - 28th May 2027 , Toronto, Canada
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Call For Papers

The ICBFPM provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Data Analytics, Marketing, Business, encouraging participation from emerging researchers and fostering academic growth.

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

01
Forecasting methods in business environments
02
Predictive modeling techniques for finance
03
Impact of AI on business forecasting
04
Data-driven decision making in organizations
05
Time series analysis for market trends
06
Challenges in predictive analytics applications
07
Integrating machine learning in forecasting
08
Evaluating forecasting accuracy and performance
09
Role of big data in predictive modeling
10
Ethical considerations in business forecasting
11
Use of simulations in predictive analytics
12
Forecasting consumer behavior patterns
13
Best practices for data collection methods
14
Case studies in successful forecasting
15
Tools and software for predictive modeling
16
Collaborative forecasting in supply chains
17
Impact of economic indicators on forecasting
18
Forecasting in uncertain market conditions
19
Visualization techniques for forecasting results
20
Future trends in business forecasting

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.