Increasing Adoption of AI in Supply Chain & Logistics Operations Expected to Accelerate the Growth of the AI in Manufacturing Market

Manufacturing industry supply chains ensure that raw materials and components are available when needed so that production can continue smoothly. Supply chain management helps minimize disruptions and delays in the manufacturing process, lowering the incidence of increased costs and lost sales. The adoption of AI in supply chain and logistics operations is increasing across manufacturing industries, such as automotive, electronics, pharmaceuticals, and consumer goods. AI optimizes supply chain management and logistics through the integration of technologies such as machine learning, computer vision, and natural language processing to streamline various processes across supply chain networks. AI allows companies to automate tasks, forecast demand, optimize routes, manage inventory, and even monitor security and compliance.

AI-based demand forecasting and inventory optimization solutions can help manufacturers accurately predict product demand and optimize inventory levels, thereby reducing excess inventory and stockouts. AI-based route optimization and fleet management systems can also help optimize transportation routes, reduce fuel consumption, and improve delivery times. Major players in the market are focused on efficient supply chain operations to help manufacturers remain competitive, reduce costs, and meet customer expectations.

Some of the recent developments in this market space are as follows:

• In June 2023, Vizion, Inc. (U.S.), a supply chain visibility solutions provider, launched an intermodal tracking tool to offer greater supply chain transparency.
• In May 2023, Resilinc Corporation (U.S.), a supply chain risk mapping, monitoring, and resiliency solution provider, partnered with SEMI (U.S.), the industry association serving the global electronics manufacturing and design supply chain, to provide over 2,500 of its members with resources for achieving greater supply chain visibility and transparency, enhancing the resilience of the entire semiconductor value chain.
• In October 2022, MoBagel (U.S.) launched Decanter AI, a new end-to-end AI solution for enterprise supply chains. The tool simplified business processes for the healthcare industry in the post-pandemic world.
• In August 2021, Vizient, Inc. (U.S.) launched new supply chain resiliency solutions to increase transparency and predictability for providers of medical supplies. These solutions offer health systems greater visibility into supplier manufacturing and distribution sites, tracking of impactful events, and risk management services for providers’ critical supply lists.

Conclusion

The growing adoption of AI in supply chain management, along with the increasing need for enhanced visibility across the entire supply chain, is expected to create growth opportunities for market stakeholders during the forecast period.

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