International Conference on Business Forecasting and Predictive Modeling ICBFPM

Call For Papers

The ICBFPM bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Data Analytics, Marketing, Business , encouraging applied research, case studies, and industry-driven innovations.

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

Forecasting methods in business environments

Predictive modeling techniques for finance

Impact of AI on business forecasting

Data-driven decision making in organizations

Time series analysis for market trends

Challenges in predictive analytics applications

Integrating machine learning in forecasting

Evaluating forecasting accuracy and performance

Role of big data in predictive modeling

Ethical considerations in business forecasting

Use of simulations in predictive analytics

Forecasting consumer behavior patterns

Best practices for data collection methods

Case studies in successful forecasting

Tools and software for predictive modeling

Collaborative forecasting in supply chains

Impact of economic indicators on forecasting

Forecasting in uncertain market conditions

Visualization techniques for forecasting results

Future trends in business forecasting

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event