AI in Supply Chain Industry

Retailer

Manufacturing

Distribution

Raw Material

Supplier

        As global supply chains are increasing in complexity, the margin for error is rapidly shrinking. With increasing competition in a connected digital world, it becomes even more critical to maximize productivity by reducing uncertainties of any and all kinds. Mounting expectations of supersonic speed and efficiencies between suppliers and business partners of all types further underscores the need for the industry to leverage the prowess of the Artificial Intelligence (AI) in supply chains and logistics.

Artificial Intelligence (AI) in Supply Chain & Logistics Supply

According to Gartner, supply chain organizations expect the level of machine automation in their supply chain processes to double in the next five years. At the same time, according to a recent study, annual Industrial IoT (IIOT) spending by growing companies is estimated to be a whopping $500 billion by the year 2020.

As global supply chains are increasing in complexity, the margin for error is rapidly shrinking. With increasing competition in a connected digital world, it becomes even more critical to maximize productivity by reducing uncertainties of any and all kinds. Mounting expectations of supersonic speed and efficiencies between suppliers and business partners of all types further underscores the need for the industry to leverage the prowess of the Artificial Intelligence (AI) in supply chains and logistics

 

Artificial Intelligence (AI) in Supply Chain & Logistics

Artificial Intelligence and Machine Learning (ML) are already beginning to change the face of the supply chain industry, which will further exacerbate the divide between the winners and the losers. By culling out deep-rooted inefficiencies and uncertainties, Artificial Intelligence and Machine Learning drive enterprise-wide visibility into all aspects of the supply chain and with granularity and methodologies that humans simply can’t mimic at scale. Ai in supply chains is helping to deliver the powerful optimization capabilities required for more accurate capacity planning, improved productivity, high quality, lower costs, and greater output, all while fostering safer working conditions.