Financial Tracking, Analysis and Visualization for Small Businesses

DOI

10.2991/978-94-6239-693-7_93How to use a DOI?

Keywords

Small Businesses; Financial Tracking; Machine Learning; Visualization; Forecasting

Abstract

Small and micro businesses often work with very limited money and time. Many owners still track sales, expenses, rent, and taxes on paper or in messy spreadsheets, making it hard to plan or spot problems early. This project creates a simple, smart tool that lets businesses upload their records and quickly see clear insights about profits, losses, spending, rent, taxes, and cash flow. It uses basic machine learning models like classification, SVM, and linear regression for forecasting and finding unusual patterns, along with easy dashboards that show visuals and short explanations. This tool helps small businesses understand their finances, manage inventory better, and identify which expenses affect profits most. The focus is on making the system simple, expandable, and helpful for non-technical users.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Deepthi Bolukonda
AU  - Gudi Vijay Pranava Praneeth
AU  - Vasanth Surya Katragadda
PY  - 2026
DA  - 2026/06/16
TI  - Financial Tracking, Analysis and Visualization for Small Businesses
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 966
EP  - 970
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_93
DO  - 10.2991/978-94-6239-693-7_93
ID  - Bolukonda2026
ER  -