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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Volume 11 | Issue 3
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Impact Factor : 8.14
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| Paper Title: | FRAMEWORK FOR MONITORING LOGISTICS USING ARTIFICIAL INTELLIGENCE |
| Authors Name: | SHRUTI SUNIL DESAI , AKASH DAWADE , SATYENDRA PAL |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_201360
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| Published Paper Id: | IJRTI2503089 |
| Published In: | Volume 10 Issue 3, March-2025 |
| DOI: | |
| Abstract: | The continual improvement of artificial intelligence technology has resulted in industrial upgrading and industry transformation in a variety of industries, with e-commerce logistics bearing the brunt of the impact. Artificial intelligence is based on an understanding of lots of processes and selections in the procedure for handling logistics, in addition to the combination of transportation, distribution, packaging, transferring goods, and other aspects related to the manufacturing workflow and the ordering of the system, which has developed into an important key to promote the upgrading of the logistics technology and assets, the innovation in production links and steps. The implementation of machine learning and the creation of the latest wave of information technology, particularly big data, have ushered in the era of intelligent logistics. And as China's overseas trade deepens, the need for cross-border digital commerce logistics grows, and the worth of cross-border e-commerce goods is swiftly underlined. As a result, it is critical to develop a cross-line Internet business integrated operation improvement model that combines man-made consciousness innovation. In light of exploring the activity approaches of cross-line businesses with coordinated aspects, this research advances the improvement technique of cross-line web-based company activity development in terms of man-made reasoning. By focusing on the ongoing situation and challenges facing the cross-line web-based business-coordinated factor movement module and bringing together the idea of wise techniques, the expenditure stage, the way transportation stage, and the goods conveyance section of Internet business-coordinated aspect distribution activity are sophisticated, in order achieve the motivation behind lowering the cost of end variability, working on maximising the efficacy of dissemination, and expanding |
| Keywords: | Logistics, Artificial Intelligences, machine learning, Internet of things, Analysis |
| Cite Article: | "FRAMEWORK FOR MONITORING LOGISTICS USING ARTIFICIAL INTELLIGENCE", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.a731-a735, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503089.pdf |
| Downloads: | 000519 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2503089
Registration ID:201360
Published In: Volume 10 Issue 3, March-2025
DOI (Digital Object Identifier):
Page No: a731-a735 Country: Mumbai, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503089 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503089 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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