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ChatGPT in supply chains : initial evidence of applications and potential research agenda

Frederico, Guilherme F. - In: Logistics 7 (2023) 2, pp. 1-9

Background: ChatGPT has been largely discussed since it was launched in November 2022. Problem statement: the main approaches of ChatGPT in the recent and scarce literature are more focused on the impacts for general use, applied sciences and educational systems, which evidences a relevant gap...

Persistent link: https://www.econbiz.de/10014370490

A comprehensive solution strategy for right-sized packaging

Peck, John C.; Page, Edward W.; Bate, James A. - In: Journal of supply chain management, logistics and … 5 (2022/2023) 3, pp. 254-266

Persistent link: https://www.econbiz.de/10014313131

Applications of artificial intelligence in supply chain management : identification of main research fields and greatest industry interests

Lechtenberg, Sandra; Hellingrath, Bernd - 2021

Advances in the area of computing power, data storage capabilities, etc., are changing the way business is done, particularly regarding how businesses use and apply artificial intelligence. To better understand how artificial intelligence is used in supply chain management, this paper identifies...

Persistent link: https://www.econbiz.de/10012514998

Configuration and implementation of a daily artificial neural network-based forecasting system using real supermarket data

Slimani, Ilham; El Farissi, Ilhame; Achchab, Said - In: International journal of logistics systems and management 28 (2017) 2, pp. 144-163

Persistent link: https://www.econbiz.de/10011856121

Artificial intelligence applied to supply chain operations management : a systematic literature review

Mendonça, Guilherme Dayrell; Lima, Orlando Fontes <Jr> - In: International journal of logistics systems and … 45 (2023) 1, pp. 1-30

Persistent link: https://www.econbiz.de/10014316909

Artificial Intelligence capabilities for demand planning process

Aparecida de Mattos, Claudia; Correia, Fernanda Caveiro; … - In: Logistics 8 (2024) 2, pp. 1-16

Background: Technological advancements, particularly in Artificial Intelligence (AI), are revolutionizing operations management, especially in the domain of supply chain management. This paper delves into the application of AI in demand planning processes within the supply chain context. Drawing...

Persistent link: https://www.econbiz.de/10014631291

Critical analysis of technologies enhancing supply chain collaboration in the food industry : a nigerian survey

Akinbamini, Ebenezer; Vargas, Alix; Traill, Angela; … - In: Logistics 9 (2025) 1, pp. 1-35

Background: Supply chain collaboration technologies (SCCTs) are digital tools designed to enhance communication, coordination, and integration among supply chain stakeholders. These tools are essential for enhancing transparency, efficiency, and traceability within complex supply chain networks,...

Persistent link: https://www.econbiz.de/10015337578

The inside enemy : weaponisation of your logistical footprint

Johnson, Brian David; Vanatta, Natalie - In: Journal of supply chain management, logistics and … 1 (2018) 1, pp. 98-106

Persistent link: https://www.econbiz.de/10012127932

Generative artificial intelligence in supply chain and operations management : a capability-based framework for analysis and implementation

Jackson, Ilya; Ivanov, Dmitry; Dolgui, Alexandre; … - In: International journal of production research 62 (2024) 17, pp. 6120-6145

Persistent link: https://www.econbiz.de/10015053768

Artificial Intelligence for Logistics 5.0 : From Foundation Models to Agentic AI

Nicoletti, Bernardo - 2025

Chapter 1. Introduction -- Chapter 2. Logistics 5.0 -- Chapter 3. AI Solutions -- Chapter 4. AI Transformation of … Logistics -- Chapter 5. Foundation Models-Driven Support to Logistics -- Chapter 6. Industrial AI-driven Support to OT Logistics … -- Chapter 7. AI-driven Support to e-Commerce Logistics -- Chapter 8. AI-driven Support to Reverse Logistics -- Chapter 9 …

Persistent link: https://www.econbiz.de/10015421965