Impact of Artificial Intelligence on Supply Chain Management Performance

Abstract

Artificial Intelligence (AI) has the potential to revolutionize various aspects of business operations. AI can be used to analyze data and make predictions about demand, optimize logistics and transportation routes, and identify inefficiencies in the supply chain. This can lead to improved responsiveness to changes in demand, reduced lead times, and lower costs. This paper reviews and analyzes the applications of AI in supply chain management (SCM) using the Scopus database. The objective is to address the current research gap of AI's impact on the performance of SCM, determining the AI techniques that can enhance the performance of SCM, the SCM subfields that have high potential to be enhanced by AI, the impact of AI application on the performance of SCM, and how the performance can be described in agile-lean perspective. Scopus database was utilized to outline and identify the active countries/regions in the field of AI impact on SCM performance, subject area, and type of documents.

An evaluation of current technology in supply chain management

“…The output of the scoping review in this study showed the usage of available existing technology in current SCM processes is essential, as it has numerous benefits in diverse fields under SC, such as the ability to forecast customers' future demand, logistics hub, distribution and transportation, marketing, planning production system, and taking inventory in a warehouse. Also, the research further showed that technology can enhance SCM from the standpoint of Agile and Lean by improving the organization's potential to adapt and adjust to the labor market, cutting waste in production, and improving customer happiness and teamwork (Mohsen, 2023). Despite the several possible advantages of technology application in SCM, it is vital to indicate that integrating technology into SCM involves some challenges.…”

Applications of Artificial Intelligence for Demand Forecasting

“…The study follows the methodology used in the prior studies (Mohsen, 2023) and (Mediavilla et al, 2022), which collect secondary data from top and famous publishers.…”

“…Improving supply chain performance is critical to business success. (Mohsen, 2023) stated that AI applications may aid in reducing inventory costs, improving warehouse efficiency, reducing lead times, and lowering costs. Previous research has demonstrated the practical importance of AI-based techniques for demand forecasting.…”

“…It forecasts future demand to plan supply chain activities and operations to decrease shipping times, inventories, and operational expenses (Kantasa-ard et al, 2021). AI can analyze data and forecast demand, optimize logistics and transportation routes, and identify bottlenecks in the supply chain (Mohsen, 2023). Furthermore, AI helps to improve supply chain transparency, which is one of the critical requirements for a successful supply chain (Fu & Chien, 2019).…”

İkinci Ev Turizmi: Kırsal İçin Bir Risk mi Yoksa Kırsal Kalkınma İçin Fırsat mı?

“…Yapay zeka, kurumsal operasyonların birçok yönünü derinden dönüştürme kapasitesine sahiptir. Yapay zeka, verileri analiz etmek ve talep tahminleri oluşturmak, lojistik ve nakliye rotalarını optimize etmek ve tedarik zincirindeki verimsizlikleri tespit etmek için kullanılabilir (Mohsen, 2023). Böylece mevcut sorunların çözümü hızlanabilir.…”