Role of Design Technology in Optimization of Transportation: A Study on Tripadam Logistics Private Limited, Chennai

The rapid transformation of the Indian logistics sector, driven by the proliferation of e-commerce, cross-border trade, and just-in-time supply chain models, has placed transportation at the centre of organizational efficiency. This study investigates the role of design technology in optimizing transportation operations at Tripadam Logistics Private Limited, a Chennai-based integrated logistics service provider incorporated in 2009. The research adopts a descriptive and analytical research design, drawing on primary data collected through structured questionnaires administered to 50 employees and stakeholders. Statistical tools including percentage analysis, one-way ANOVA, chi-square tests, correlation analysis, and one-sample t-tests were employed to evaluate relationships between technology adoption and operational outcomes. Findings reveal that technologies such as GPS tracking, AI-powered route optimization, IoT sensors, cloud-based logistics platforms, and automated dispatch systems have significantly improved route efficiency, vehicle capacity utilization, delivery accuracy, and customer satisfaction. The study contributes actionable insights for mid-sized Indian logistics firms seeking to leverage design-tech solutions to remain competitive in an evolving market environment.

Design Technology, Transportation Optimization, Logistics Management, GPS Tracking, Route Optimization, IoT, Indian Logistics, Tripadam Logistics

1. Bhattacharya, A., Kumar, S. A., & Tiwari, M. K. (2014). An integrated approach for performance measurement of a supply chain. CIRP Journal of Manufacturing Science and Technology, 7(3), 172-182. [Google Scholar] [Crossref]

2. Choudhary, A., & Agarwal, V. (2019). Digital transformation in Indian supply chains: Big data, visibility and operational performance. Journal of Operations Management India, 14(2), 88-104. [Google Scholar] [Crossref]

3. Gupta, P., & Yadav, R. (2020). Transportation cost optimization through fleet management technology: Evidence from Indian logistics firms. International Journal of Logistics Research and Applications, 23(4), 341-358. [Google Scholar] [Crossref]

4. Indian Logistics Optimization Study. (2024). Supply chain optimization in India: AI, IoT and blockchain applications. National Institute of Industrial Engineering, Mumbai. [Google Scholar] [Crossref]

5. Iyer, A., & Srinivasan, M. (2021). Cloud-based logistics platforms and stakeholder collaboration in Indian freight operations. Journal of Business Logistics, 42(1), 67-84. [Google Scholar] [Crossref]

6. Kumar, S., Singh, R., & Modgil, S. (2018). Integrated logistics systems and transportation efficiency: Evidence from the Indian market. International Journal of Production Economics, 196, 211-224. [Google Scholar] [Crossref]

7. Mehta, A., & Jain, S. (2016). Warehouse and transportation integration for supply chain optimization. Logistics Research, 9(1), 1-13. [Google Scholar] [Crossref]

8. Nair, R., & Menon, R. (2018). Last-mile delivery challenges in Indian urban logistics: Technology solutions and policy implications. Transportation Research Part A, 118, 12-27. [Google Scholar] [Crossref]

9. Patil, S., Patange, G., & Pardeshi, S. (2023). Intelligent transportation mode selection for logistics cost optimization using machine learning. Expert Systems with Applications, 214, 119120. [Google Scholar] [Crossref]

10. Patel, K., & Desai, N. (2022). Artificial intelligence in logistics optimization: Machine learning for demand forecasting and route planning. Journal of Business Research, 139, 1425-1436. [Google Scholar] [Crossref]

11. Reddy, B., & Kumar, P. (2019). Route optimization using data analytics and predictive modelling in urban freight logistics. Transportation Science, 53(4), 1128-1144. [Google Scholar] [Crossref]

12. Sharma, V., & Gupta, A. (2017). GPS and telematics adoption in Indian transportation: Impact on fleet management and delivery performance. International Journal of Physical Distribution & Logistics Management, 47(9), 884-905. [Google Scholar] [Crossref]

13. Shastri, R., & Shrivastav, M. (2025). Drone-based logistics and AI integration for last-mile delivery optimization. Journal of Air Transport Management, 104, 102-119. [Google Scholar] [Crossref]

14. Singh, P., & Verma, K. (2020). Internet of Things applications in logistics: Cargo monitoring, vehicle tracking and predictive maintenance. Computers in Industry, 115, 103163. [Google Scholar] [Crossref]

15. Valda, E., Torres, L., & Morales, R. (2024). Logistics optimization techniques: A literature review of mathematical models, simulation and heuristic methods. European Journal of Operational Research, 312(1), 1-28. [Google Scholar] [Crossref]

16. World Economic Forum. (2023). Future of logistics: Technology transformation and supply chain resilience. Geneva: WEF Publications. [Google Scholar] [Crossref]

• Block-Based Programming for Education: A Comprehensive Analysis of Visual Programming Environments in K-12 Learning
• Management of Academic Libraries and Client Satisfaction Towards Digital Utilization: Basis for Monitoring Library Operations in SOCCSKSARGEN Region.
• Revenue Leakages in TPA Insurance Claims and Corporate Claims: An Institutional Overview of Aster Prime Hospital, Hyderabad
• Technology and Innovation in Hospitality and Tourism: A Management Perspective
• Geospatial Distribution of Tarok Sacred Grove of Langtang North and Langtang South Local Government Areas