International Journal of Scientific Research and Engineering Development

The rapid expansion of urbanization and e-commerce has significantly increased the demand for efficient, reliable, and transparent logistics services. Conventional logistics platforms provide basic functionalities such as booking and tracking; however, they often suffer from limitations including lack of price transparency, insufficient driver information, inaccurate real-time tracking, and ineffective customer support systems. These issues negatively impact user trust and operational efficiency. This paper presents SwiftHaul, a smart logistics platform designed to address these challenges by integrating advanced user-centric features and intelligent system design. The system is developed using Python and the Streamlit framework, incorporating modules such as driver transparency, price lock mechanism, smart load estimation, real-time tracking using map integration, and issue reporting. Additionally, the platform includes proof of delivery and analytics dashboards to support both individual users and small-to-medium enterprises. The proposed system uses simulated datasets to demonstrate workflow and system functionality. Results indicate improved decision-making, better resource utilization, enhanced transparency, and increased user satisfaction.

Shifa Bilal Tamboli, Simeen Phiroj Mulani, Arman Tajuddin Shiakh,"SwiftHaul: A Smart Logistics Platform for Transparent and Efficient Delivery Systems" International Journal of Scientific Research and Engineering Development, V9(2): Page(2365-2369) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.