UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 11 Issue 6
June-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2406284


Registration ID:
537030

Page Number

c682-c696

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Title

GOCOMET- The AI key to Yokohama’s Supply Chain Resilience

Abstract

Our world thrives on a hidden network of trade, a clockwork mechanism delivering everything from clothes to medicine. But when unexpected disruptions occur, this complex system is just as brittle as a house of cards. The Suez Canal blockage, political conflicts, and even global pandemics can grind international trade to a halt. Only organisations that can navigate these storms will prevail in this highstakes game. Cue GoComet, a knight in shining armor for the modern supply chain. GoComet's AIdriven platform provides intelligent automation and real-time data, modelling as a lifeline. This case talks about how GoComet aided Yokohama, a global company, save a staggering $800,000 due to the Suez Canal crises. With shipment visibility, predictive analytics, and automated reporting, GoComet’s models empower businesses to make informed decisions, reroute cargo, and communicate with their customers. This case also explores the vulnerabilities of the entire global supply chain and how GoComet's innovative solutions are revolutionizing crisis management for businesses worldwide.

Key Words

AI, GoComet, supply chain, crisis management, Yokohama, real-time visibility, Suez Canal, Ever Given

Cite This Article

"GOCOMET- The AI key to Yokohama’s Supply Chain Resilience", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.c682-c696, June-2024, Available :http://www.jetir.org/papers/JETIR2406284.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"GOCOMET- The AI key to Yokohama’s Supply Chain Resilience", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppc682-c696, June-2024, Available at : http://www.jetir.org/papers/JETIR2406284.pdf

Publication Details

Published Paper ID: JETIR2406284
Registration ID: 537030
Published In: Volume 11 | Issue 6 | Year June-2024
DOI (Digital Object Identifier):
Page No: c682-c696
Country: MUMBAI, Maharashtra, India .
Area: Management
ISSN Number: 2349-5162
Publisher: IJ Publication


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