Meanwhile, the COVID-19 pandemic illustrated just how fragile the global supply chain can be and why better management tools are necessary. A subset of AI is machine learning (ML) , which is the process of a system taking in data sets and learning processes from them, as opposed to being programmed with built-in instructions., Global supply chains, including the manufacturers and retailers that logistics providers source to run the supply chain system, will continue to face challenges. Thus, it is important to have flexible, reliable supply chain management practices and tools. Supply chain automation is a supplement to human workers, not a replacement., According to Gartner, the supply chains of the future will self-regulate and take appropriate actions, resulting in an increase and augmentation of the capabilities of humans well beyond what is known today.⁶ Supply chain operators use technologies, such as AI-powered control towers, to provide significant insights into performance, and , Our state-of-the-art solutions make your supply chain smarter, more resilient, and sustainable, encompassing AI-powered decision-making across supply chain partner data exchange, procurement and inventory management, end-to-end agility and visibility, transparency and orchestration, and intelligent omnichannel order fulfillment optimization., The better a company can perform supply chain analytics, the better it protects its business reputation and long-term sustainability. In The Thinking Supply Chain, IDC’s Simon Ellis identifies the five “Cs” of the effective supply chain analytics of the future: Key features of effective supply chain optimization include:, Analytics tools deliver insights to underpin emissions reduction activities. Designed for scalability, the ESG supply chain software manages large datasets to evolve with organizational needs. It streamlines supplier collaboration and integrates advanced carbon accounting within a software suite that covers all Scope 1, 2 and 3 categories..