MRI
MRI India Journals Vol. 14 No. 2 (2025)

A Smart Commercial Transport Platform-Tranzo

Authors

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

DOI:

https://doi.org/10.65521/intjournalrecadvengtech.v14i2.805

Keywords:

Artificial Intelligence Machine Learning Cloud Computing GPS Tracking Commercial Vehicle Booking Dynamic Pricing Smart Logistics Route Optimization

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. 

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Published

2025-11-09

How to Cite

Sayyad, 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. https://doi.org/10.65521/intjournalrecadvengtech.v14i2.805

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