International Conference on Market Forecasting through Data Analytics

ICMFDA

23rd Sep – 24th Sep 2026 Abu Dhabi, UAE

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Registration Summary

Conference ICMFDA

Date 23rd Sep – 24th Sep 2026

Location Abu Dhabi, UAE

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Total Payable USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Predictive Modeling Techniques in Market Forecasting +

This track focuses on advanced predictive modeling techniques utilized in market forecasting. Participants will explore various statistical and machine learning methods that enhance the accuracy of market predictions.

SDG 8 SDG 9 SDG 12

02 Consumer Behavior Analysis through Data Analytics +

This session examines the role of data analytics in understanding consumer behavior and trends. Researchers will present findings on how data-driven insights can inform marketing strategies and improve customer engagement.

SDG 8 SDG 12 SDG 17

03 E-commerce Trends and Market Dynamics +

This track delves into the evolving landscape of e-commerce and its impact on market dynamics. Discussions will center on data analytics applications that help businesses adapt to changing consumer preferences in the digital marketplace.

SDG 8 SDG 9 SDG 12

04 Time Series Analysis for Demand Forecasting +

This session highlights the importance of time series analysis in accurately forecasting demand across various sectors. Experts will share methodologies and case studies demonstrating effective time series techniques.

SDG 9 SDG 12 SDG 13

05 Econometric Models in Business Forecasting +

This track focuses on the application of econometric models in business forecasting. Participants will explore how these models can be leveraged to analyze economic indicators and predict market movements.

SDG 8 SDG 9 SDG 12

06 Market Simulation and Predictive Tools +

This session investigates the use of market simulation and predictive tools in strategic decision-making. Researchers will discuss innovative approaches to simulate market conditions and evaluate potential outcomes.

SDG 8 SDG 9 SDG 12

07 AI and Machine Learning in Market Prediction +

This track explores the integration of artificial intelligence and machine learning in market prediction. Presentations will cover cutting-edge algorithms and their applications in enhancing forecasting accuracy.

SDG 8 SDG 9 SDG 12

08 Retail Forecasting: Strategies and Insights +

This session focuses on retail forecasting strategies that leverage data analytics for improved inventory management and sales predictions. Experts will share insights on aligning forecasting practices with consumer demand.

SDG 8 SDG 9 SDG 12

09 Future Market Trends: An Analytical Approach +

This track aims to identify and analyze future market trends using data analytics. Participants will discuss methodologies for anticipating shifts in consumer behavior and market conditions.

SDG 8 SDG 9 SDG 12

10 Statistical Modeling for Market Analysis +

This session emphasizes the role of statistical modeling in market analysis and forecasting. Researchers will present various statistical techniques that provide valuable insights into market trends.

SDG 8 SDG 9 SDG 12

11 Integrating Data Analytics in Marketing Strategies +

This track examines how businesses can integrate data analytics into their marketing strategies for enhanced effectiveness. Discussions will focus on the impact of data-driven decisions on marketing outcomes.

SDG 8 SDG 9 SDG 12