LEVERAGING ARTIFICIAL INTELLIGENCE TO ENHANCE EFFICIENCY AND SUSTAINABILITY IN THE LEATHER INDUSTRY

Every business on the earth is undergoing a change thanks to artificial intelligence (AI); from cyber security and driverless cars to healthcare apps, medicine, and geology, AI is now essential to human survival. AI is growing quickly in the manufacturing sectors as well, since all organizations are embracing digital transformation. India is the world's second-largest manufacturer of leather goods that are shipped outside. However, the nature of the operation remains dubious. There are 144 footwear industries in Tamil Nadu, which is in southern India. These businesses manufacture a variety of shoes for both domestic and international markets. Either synthetic or pure leather was used to make the footwear. Data was gathered from all production managers in the footwear industry using a straightforward random sample technique. The data was gathered using Google Forms and surveys. Python was used to analyse the data and determine the most common system type in this industry. The study ran for six months, from June 2024 to December 2024. Measures to address those barriers must be prioritized by industries. Financial limitations and a lack of trained workers are the biggest barriers to automation, but industries should give these issues top priority for a seamless workflow where environmental rules and change opposition are concentrated.

Authors

Publication Details

Journal
International Journal of Apllied Mathematics
Published
2025-10-15
DOI
https://doi.org/10.12732/ijam.v38i6s.382
Primary Topic
Law, logistics, and international trade
Type
article
Field-Weighted Citation Impact
0.00
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article

LEVERAGING ARTIFICIAL INTELLIGENCE TO ENHANCE EFFICIENCY AND SUSTAINABILITY IN THE LEATHER INDUSTRY

P T Mugilraj
International Journal of Apllied Mathematics
Law, logistics, and international trade
article

LEVERAGING ARTIFICIAL INTELLIGENCE TO ENHANCE EFFICIENCY AND SUSTAINABILITY IN THE LEATHER INDUSTRY

P T Mugilraj
article en

Abstract

Every business on the earth is undergoing a change thanks to artificial intelligence (AI); from cyber security and driverless cars to healthcare apps, medicine, and geology, AI is now essential to human survival. AI is growing quickly in the manufacturing sectors as well, since all organizations are embracing digital transformation. India is the world's second-largest manufacturer of leather goods that are shipped outside. However, the nature of the operation remains dubious. There are 144 footwear industries in Tamil Nadu, which is in southern India. These businesses manufacture a variety of shoes for both domestic and international markets. Either synthetic or pure leather was used to make the footwear. Data was gathered from all production managers in the footwear industry using a straightforward random sample technique. The data was gathered using Google Forms and surveys. Python was used to analyse the data and determine the most common system type in this industry. The study ran for six months, from June 2024 to December 2024. Measures to address those barriers must be prioritized by industries. Financial limitations and a lack of trained workers are the biggest barriers to automation, but industries should give these issues top priority for a seamless workflow where environmental rules and change opposition are concentrated.

International Journal of Apllied MathematicsVol. 38(6s)
Openalex Percentile: Top 57%
Law, logistics, and international trade
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LEVERAGING ARTIFICIAL INTELLIGENCE TO ENHANCE EFFICIENCY AND SUSTAINABILITY IN THE LEATHER INDUSTRY — P T Mugilraj · International Journal of Apllied Mathematics (2025) | TGRS Research Map | TGRS