International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Scalable WhatsApp-Based Bulk Messaging System Using Distributed Virtual Number Architecture |
|---|---|
| ABSTRACT | This paper presents the design and implementation of a scalable bulk messaging system leveraging WhatsApp-based communication channels. The proposed system enables users and resellers to create, manage, and execute multimedia messaging campaigns using a distributed pool of virtual numbers. A queue-driven architecture is employed to ensure efficient load distribution, high throughput, and fault tolerance. The system incorporates intelligent number rotation, delay strategies, and retry mechanisms to minimize message failures and avoid service restrictions. Additionally, it supports structured contact management, campaign scheduling, and real-time analytics. Experimental evaluation shows a significant improvement in delivery success rate and system efficiency compared to traditional bulk messaging approaches. The solution offers a cost-effective and scalable platform for modern digital communication and marketing applications. |
| AUTHOR | PROF. JUNAID MANDVIWALA, KASHAF KHAN, SALINA SHEKASAN, SADAF SHAIKH, REHMAN SHAIKH Department of Artificial Intelligence and Data Science, Rizvi College of Engineering, Bandra, Mumbai, India |
| VOLUME | 183 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1404035 |
| pdf/35_Scalable WhatsApp-Based Bulk Messaging System Using Distributed Virtual Number Architecture.pdf | |
| KEYWORDS | |
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