Cashflow AI: An Intelligent Financial Management System for Small Businesses and Retailers

Cash flow management is acritical challenge for small businesses due to income volatility and limited financial tools. This paper introduces Cashflow AI, as mart financial management system that leverages artificial intelligence to improve cash flow forecasting and decision-making. The system combines Facebook Prophet, LSTM, and XGBoost models to analyze real-world e-commerce data, predict future trends, and provide real-time insights. Through structured preprocessing and feature engineering, the platform delivers accurate forecasts for both sequential and structured financial data. Results show that LSTM performs best for time-series predictions, while XGBoost is effective for revenue modeling. Cashflow AI offers a scalable, user-friendly solution designed to empower non-experts with predictive and automated financial guidance.

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Publication Details

Published
2025-07-12
DOI
https://doi.org/10.1109/imsa65733.2025.11167229
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
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Cashflow AI: An Intelligent Financial Management System for Small Businesses and Retailers

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Impact of AI and Big Data on Business and Society
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Cashflow AI: An Intelligent Financial Management System for Small Businesses and Retailers

Maryam Usman Ahmed, Raghda Essam Ali, Abu Saeid, Ziad Mohamed Abdelazim, Zeyad Osama Radwan, Omar Fouad Yehia, Omar Elshafei
article en

Abstract

Cash flow management is acritical challenge for small businesses due to income volatility and limited financial tools. This paper introduces Cashflow AI, as mart financial management system that leverages artificial intelligence to improve cash flow forecasting and decision-making. The system combines Facebook Prophet, LSTM, and XGBoost models to analyze real-world e-commerce data, predict future trends, and provide real-time insights. Through structured preprocessing and feature engineering, the platform delivers accurate forecasts for both sequential and structured financial data. Results show that LSTM performs best for time-series predictions, while XGBoost is effective for revenue modeling. Cashflow AI offers a scalable, user-friendly solution designed to empower non-experts with predictive and automated financial guidance.

Cairo University (EG), Digital Science (United States) (US)
Openalex Percentile: Top 69%
Impact of AI and Big Data on Business and Society
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