Year: 2025
Type: article
Abstract: The present day enterprise panorama is described through huge dynamism and unpredictability.In this kind of climate, generating correct income forecasts serves now no longer simplest as a monetary vital however additionally as a strategic device for green aid allocation, hazard mitigation, and fostering sustainable sales growth.This studies paper investigates the evolving area of AI-pushed income forecasting, specializing in leveraging algorithms to layout a user-pleasant graphical interface that grants more desirable income insights.The observe evaluates the strengths and obstacles of those methodologies, especially in phrases of forecasting precision.Unlike conventional strategies that regularly battle with complicated scenarios, AI fashions excel at reading enormous datasets and uncovering nuanced styles in purchaser behavior, ensuing in forecasts which might be each greater correct and reliable.Additionally, this observe conducts a comparative evaluation of the ARIMA and Prophet algorithms for information processing, along using Matplotlib and Seaborn for visualization to beautify comprehension.The findings spotlight AI`s transformative
Authors: Mounish Rajput, Mukesh Parmar, Shreya Patel
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409922411