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TSAW Drones: Revolutionizing India’s Drone Logistics with Digital Technologies

Authors: Rakesh Gupta; Sujeet Sharma; Stevelal Stevelal;

TSAW Drones: Revolutionizing India’s Drone Logistics with Digital Technologies

Abstract

Startups play a crucial role in driving a country’s economic growth and transformation by fostering innovation and job creation and attracting investment. Startups such as Technology in Space and Aero Works (TSAW) can play a key role in transforming India’s logistics sector through advancements in drone technologies. TSAW leveraged Internet of Things, big data, cloud computing, and artificial intelligence to become a key player in healthcare logistics, efficiently delivering essential medical supplies to remote and inaccessible locations. Having established its presence in healthcare logistics, the company is now considering expanding into the agricultural and infrastructure sectors. The critical question facing TSAW is whether to further advance its artificial intelligence-driven processes and technologies to enhance the safety and reliability of its existing logistics operations or expand its footprint into new sectors to seize emerging market opportunities. The case explores the evolution of drone technologies, their potential based on transformational digital technologies, the growing market and competition in this emerging field, and the fast-changing regulatory landscape in the country.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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