Integrated Billing-CRM, Accounting, and Billing Platform Enhanced by Artificial Intelligence and Blockchain Technology
Abstract & Details
Research Area
Computer Engineering
Keywords
Artificial Intelligence
unified billing platform
blockchain integration
customer relationship management
invoice automation
predictive analytics
machine learning
smart contracts
financial forecasting
fraud detection
microservices architecture
agile methodology
data flow diagrams
anomaly detection
decentralized ledger
Abstract
This pioneering project represents a state-of-the-art endeavor that merges sophisticated technologies to redefine accounting, billing, and customer relationship management. By incorporating Artificial Intelligence and Blockchain, the platform streamlines financial workflows in profound ways. The Artificial Intelligence components automate routine operations, such as data input, invoice creation, and fiscal reporting, thereby minimizing errors and boosting productivity. Advanced machine learning models provide forward-looking financial forecasts, enabling organizations to make strategic choices with greater confidence. Blockchain integration fortifies the platform’s defenses against unauthorized access and alterations, creating an immutable, distributed record of all transactions. This fosters transparency, reduces fraud risks, and builds stakeholder confidence. Designed to challenge traditional financial tools, this system offers businesses a smarter, more resilient framework for handling monetary tasks. Its intuitive design simplifies customer relationship management functions, ensuring effortless oversight of invoicing and collections.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Nikita Vishal Jape | S.N.D. College of Engineering & Research Center, Yeola, Nashik, Maharashtra, India |
| 2 | Punjabi Sonal Pritesh | S.N.D. College of Engineering & Research Center, Yeola, Nashik, Maharashtra, India |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Jape, Nikita Vishal & Pritesh, Punjabi Sonal (2025). Integrated Billing-CRM, Accounting, and Billing Platform Enhanced by Artificial Intelligence and Blockchain Technology. International Journal of Advance Research and Innovative Ideas In Education, 11(6), 27-34.
MLA Style
Jape, Nikita Vishal, and Punjabi Sonal Pritesh. "Integrated Billing-CRM, Accounting, and Billing Platform Enhanced by Artificial Intelligence and Blockchain Technology." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 6, 2025, pp. 27-34.
IEEE Style
Nikita Vishal Jape and Punjabi Sonal Pritesh, "Integrated Billing-CRM, Accounting, and Billing Platform Enhanced by Artificial Intelligence and Blockchain Technology," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 6, pp. 27-34, 2025.
Vancouver Style
Jape Nikita Vishal, Pritesh Punjabi Sonal. Integrated Billing-CRM, Accounting, and Billing Platform Enhanced by Artificial Intelligence and Blockchain Technology. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(6):27-34.
Harvard Style
Jape, Nikita Vishal & Pritesh, Punjabi Sonal (2025) 'Integrated Billing-CRM, Accounting, and Billing Platform Enhanced by Artificial Intelligence and Blockchain Technology', International Journal of Advance Research and Innovative Ideas In Education, 11(6), pp. 27-34.
Chicago Style
Jape, Nikita Vishal and Punjabi Sonal Pritesh. "Integrated Billing-CRM, Accounting, and Billing Platform Enhanced by Artificial Intelligence and Blockchain Technology." International Journal of Advance Research and Innovative Ideas In Education 11, no. 6 (2025): 27-34.
Turabian Style
Jape, Nikita Vishal and Punjabi Sonal Pritesh. "Integrated Billing-CRM, Accounting, and Billing Platform Enhanced by Artificial Intelligence and Blockchain Technology." International Journal of Advance Research and Innovative Ideas In Education 11, no. 6 (2025): 27-34.
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