Using Generative AI to Build Dynamic Financial Forecasting Dashboards

Pramod Raja Konda

Abstract


The rapid evolution of artificial intelligence has transformed financial analytics, enabling organizations to move beyond static models toward intelligent, adaptive forecasting systems. Generative AI, powered by large language models and multimodal architectures, offers new capabilities for creating dynamic financial forecasting dashboards that can autonomously interpret data patterns, generate predictive scenarios, and communicate insights in natural language. This paper explores a generative AI–driven framework for designing financial dashboards capable of real-time forecasting, automated narrative generation, dynamic visualization updates, and contextual decision support. The proposed approach integrates historical financial data, live market feeds, and organizational performance metrics into a unified generative pipeline that enhances forecasting accuracy and user engagement. Through experimentation, the generative model demonstrates significant improvements in prediction adaptability, scenario simulation, and interpretability when compared to traditional BI dashboards. The findings highlight how generative AI can reshape financial planning, budgeting, and strategy formulation by enabling self-updating, insight-rich dashboards that support faster and more informed decision-making in complex, volatile markets

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References


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