Demonstrates reduced carbon footprint in Pune's logistics sector, highlighting AI's role in efficiency.
As Pune evolves into a "Net-Zero" aspiring smart city by 2026, the logistics sector faces pressure to balance rapid delivery expectations with environmental mandates. The rollout of 5G infrastructure in Pune has enabled real-time "Hyper-optimization" of delivery routes, which was previously limited by latency. This study of 50 logistics firms in the Chakan and Talegaon industrial belts reveals that AI-driven predictive routing has reduced fuel consumption by 18% and idling time at major intersections like Hinjewadi and Chandani Chowk by 24%. Structural Equation Modeling (SEM) confirms that "Network Reliability" ($p < 0.01$) is the strongest catalyst for adopting green-tech solutions among Pune’s MSMEs. 5G is not merely a speed upgrade but a foundational "Green Enabler" for Pune’s commerce, turning the city’s traffic challenges into a data-driven efficiency opportunity.
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Mushtaq Shaikh (2026) studied this question.
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