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Autonomous Logistics Networks for E-Commerce Fulfillment: Scalable AI and Robotics Integration

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Τίτλος: Autonomous Logistics Networks for E-Commerce Fulfillment: Scalable AI and Robotics Integration
Συγγραφείς: Manwatkar, Vinod
Πηγή: European Modern Studies Journal; Vol. 9 No. 4 (2025); 928-936 ; Европейский журнал современных исследований; Том 9 № 4 (2025); 928-936 ; Європейський журнал сучасних досліджень; Том 9 № 4 (2025); 928-936 ; 2522-9400
Στοιχεία εκδότη: Lomaka & Romina Publisher
Έτος έκδοσης: 2025
Θεματικοί όροι: Autonomous Logistics, E-Commerce Fulfillment, Artificial Intelligence, Robotics Integration, Warehouse Automation
Περιγραφή: The current article looks at a system of architecture and application of autonomous logistics networks that caters specifically to the e-commerce fulfilment activity. It addresses the ways artificial intelligence and robotics can be combined to build a smart logistics platform that is able to overcome the challenges peculiar to modern e-commerce, such as multichannel diversity, fluctuating amounts of orders, and growing customer demands. The architecture integrates AI-assisted decision-making, autonomous mobile robots, and enterprise ERP systems to establish a single ecosystem with physical automation and digital intelligence merging into one. Relevant technology building blocks are reinforcement learning-based routing algorithms, computer vision systems with sensor fusion capabilities, predictive replenishment models, and highly integrated layers of an ERP. The article presents the performance gains that were obtained with this strategy, scaling the hypothesis to multiple facilities deployment, and the further development path. This article analysis is a testimony to how autonomous logistics networks can and will change the fulfillment enterprise into a differentiating activity in the highly competitive world of e-commerce through quantifiable improvements in throughput, accuracy, cost-competitiveness, and flexibility.
Τύπος εγγράφου: article in journal/newspaper
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Relation: https://lorojournals.com/index.php/index/article/view/1527/1479; https://lorojournals.com/index.php/index/article/view/1527
DOI: 10.59573/emsj.9(4).2025.87
Διαθεσιμότητα: https://lorojournals.com/index.php/index/article/view/1527
https://doi.org/10.59573/emsj.9(4).2025.87
Αριθμός Καταχώρησης: edsbas.F9AD2ABF
Βάση Δεδομένων: BASE
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  Data: Autonomous Logistics Networks for E-Commerce Fulfillment: Scalable AI and Robotics Integration
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  Data: European Modern Studies Journal; Vol. 9 No. 4 (2025); 928-936 ; Европейский журнал современных исследований; Том 9 № 4 (2025); 928-936 ; Європейський журнал сучасних досліджень; Том 9 № 4 (2025); 928-936 ; 2522-9400
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  Data: <searchLink fieldCode="DE" term="%22Autonomous+Logistics%22">Autonomous Logistics</searchLink><br /><searchLink fieldCode="DE" term="%22E-Commerce+Fulfillment%22">E-Commerce Fulfillment</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Robotics+Integration%22">Robotics Integration</searchLink><br /><searchLink fieldCode="DE" term="%22Warehouse+Automation%22">Warehouse Automation</searchLink>
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  Data: The current article looks at a system of architecture and application of autonomous logistics networks that caters specifically to the e-commerce fulfilment activity. It addresses the ways artificial intelligence and robotics can be combined to build a smart logistics platform that is able to overcome the challenges peculiar to modern e-commerce, such as multichannel diversity, fluctuating amounts of orders, and growing customer demands. The architecture integrates AI-assisted decision-making, autonomous mobile robots, and enterprise ERP systems to establish a single ecosystem with physical automation and digital intelligence merging into one. Relevant technology building blocks are reinforcement learning-based routing algorithms, computer vision systems with sensor fusion capabilities, predictive replenishment models, and highly integrated layers of an ERP. The article presents the performance gains that were obtained with this strategy, scaling the hypothesis to multiple facilities deployment, and the further development path. This article analysis is a testimony to how autonomous logistics networks can and will change the fulfillment enterprise into a differentiating activity in the highly competitive world of e-commerce through quantifiable improvements in throughput, accuracy, cost-competitiveness, and flexibility.
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