A Smart Commercial Transport Platform-Tranzo

Main Article Content

Prof. G. G. Sayyad
Vishwajit Bhosale
Aniket Deshmukh
Yash Barge
Fardin Dange

Abstract

The commercial transport and logistics sector faces fragmentation, opaque pricing, under-utilized fleets, and lack of reliable tracking. Existing passenger-focused ride-hailing platforms have transformed passenger mobility but do not fully meet heavy-vehicle and commercial freight needs. This survey reviews techniques and technologies relevant for building an intelligent commercial vehicle booking platform — Tranzo — that integrates Artificial Intelligence (AI), Machine Learning (ML), Cloud infrastructure, GPS tracking, secure payments, and recommendation/dynamic-pricing engines. We summarize related work in dynamic pricing, fleet allocation, IoT and sensor integration, blockchain-based payments, and GPS/route optimization; identify key research gaps; describe Tranzo’s proposed architecture and modules; and discuss expected outcomes and comparisons with existing solutions. The survey shows that an integrated AI/ML + cloud + GPS platform can significantly improve transparency, utilization, and reliability in commercial transport. 

Downloads

Download data is not yet available.

Article Details

How to Cite
Sayyad, P. G. G., Bhosale, V., Deshmukh, A., Barge, Y., & Dange , F. (2025). A Smart Commercial Transport Platform-Tranzo . International Journal of Recent Advances in Engineering and Technology, 14(2), 50–52. Retrieved from https://journals.mriindia.com/index.php/ijraet/article/view/805
Section
Articles

Similar Articles

<< < 7 8 9 10 11 12 

You may also start an advanced similarity search for this article.