Cycle Labs
Automation and AI in Future Supply Chains
Pages
10
Time to read
10 mins
Publication
Language
English
Pages
10
Time to read
10 mins
Publication
Language
English
This guide discusses the impact of automation and artificial intelligence (AI) on supply chains and logistics. It outlines the historical evolution of automation in the industry, starting from the Industrial Revolution to the present day, highlighting the need for businesses to shift their investment strategies from traditional fixed infrastructure toward more agile and flexible solutions. The content details the importance of flexibility in supply chain operations, emphasizing that efficiency and productivity should not be the ultimate goals but rather means to achieve desired business outcomes. Furthermore, the document addresses the workforce implications of automation, noting that it allows employees to focus on higher-value tasks rather than merely responding to urgent issues. Customer expectations have also evolved, making supply chains more customer-centric. The future of supply chain technology is heavily influenced by advancements in generative AI and large language models, which are poised to transform how companies interact with customers and streamline operations.