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.
Authors
- Maryam Usman Ahmed (ORCID: https://orcid.org/0000-0002-4061-0183)
- Raghda Essam Ali
- Abu Saeid (ORCID: https://orcid.org/0000-0003-3905-0833)
- Ziad Mohamed Abdelazim
- Zeyad Osama Radwan
- Omar Fouad Yehia
- Omar Elshafei
Institutions
- Cairo University (EG)
- Digital Science (United States) (US)
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
- 0.00