Logibot.AI
  • Author(s): Dipti Tiwari; Sejal Singh; Nabila Khan; Rajashree Sanas; Dr. Rajeshree Rokade
  • Paper ID: 1715401
  • Page: 1774-1779
  • Published Date: 23-03-2026
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 9 Issue 9 March-2026
Abstract

The logistics and supply chain industry faces persistent challenges regarding operational efficiency, route optimization, and real-time cargo visibility. While Artificial Intelligence (AI) and the Internet of Things (IoT) offer transformative potential, a significant “production gap” remains between theoretical academic prototypes and scalable, real-world implementations. Most existing studies focus on isolated use cases or static datasets, failing to address the dynamic nature of industrial environments. This paper introduces LogiBot.AI, a comprehensive, end-to-end intelligent logistics management platform designed to bridge the gap between research and practical application. Built on the PERN stack (PostgreSQL, Express, React, Node.js), LogiBot.AI functions as a modular Software-as-a-Service (SaaS) solution that integrates ten distinct AI tools. The system moves beyond “black-box” modeling by providing a user-centric interface that facilitates real-time data processing, predictive delivery analytics, and automated decision support. By combining robust backend architecture with intuitive frontend visualization, the platform addresses critical issues such as delivery delays and resource allocation. The implementation results demonstrate that LogiBot.AI successfully translates theoretical AI capabilities into a deployed, scalable system, offering a practical framework for modernizing freight carriers and enhancing operational transparency.

Keywords

Artificial Intelligence (AI), Logistics Management, Supply Chain Optimization, Internet of Things (IoT), SaaS (Software as a Service).

Citations

IRE Journals:
Dipti Tiwari, Sejal Singh, Nabila Khan, Rajashree Sanas, Dr. Rajeshree Rokade "Logibot.AI" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 1774-1779 https://doi.org/10.64388/IREV9I9-1715401

IEEE:
Dipti Tiwari, Sejal Singh, Nabila Khan, Rajashree Sanas, Dr. Rajeshree Rokade "Logibot.AI" Iconic Research And Engineering Journals, 9(9) https://doi.org/10.64388/IREV9I9-1715401