Abstract:

In the management of the supply chain and global logistics, artificial intelligence is crucial. In addition to providing competitive advantages over other competitors, it opens up chances for cost reduction in demand forecasting, purchasing requirement planning, production planning, inventory, packaging, transportation, warehousing, and distribution planning. Through its extraordinary capacities, artificial intelligence has tremendous promise for improving efficiency and making smarter decisions. The goal of artificial intelligence (AI) is to build "thinking machines" that can duplicate, replace, and learn from human intelligence. Due to its capacity to recognize business patterns, learn business phenomena, seek information, and intelligently analyze data, AI has demonstrated considerable promise in enhancing human decision-making processes and the ensuing productivity in a variety of business undertakings since the late 1970s. Although being widely accepted as a tool to aid in decision-making, supply chain management has very seldom used AI (SCM). This article investigates several AI sub-fields that are best suited for resolving real-world SCM-related issues in order to fully realise the potential benefits of AI for SCM.

Description:

Artificial Intelligence, ARMA Model, Logistics, Supply Chain (SC).