5 Ways To Use AI For Supply Chain Management
Using AI to help optimize supply chain management is becoming more prevalent across industries. Early adopters are more resilient and prepared for the inevitable future of artificial intelligence within the supply chain management industry.
Supply chains have gotten increasingly more complicated to manage in recent years. Physical flows are becoming more interconnected and market volatility has increased the requirement for agility and adaptability.
This has only been exacerbated by the COVID-19 pandemic which has seen an increased global demand for resources while juggling a variety of changing pandemic precautions. This is why using AI to help optimize supply chain management is becoming more prevalent across industries. Early adopters are more resilient and prepared for the inevitable future of artificial intelligence within the supply chain management industry.
Supply chain management is a web connecting transportation, production, acquisition, marketing, sales, and more. Companies can use supply chain management to create integrated plans to balance trade-offs across activities, thereby optimizing earnings. Managing these supply chains can become a gargantuan task without help.
Using AI for supply chain management is one way many companies are beginning to pivot to handle the increasing difficulty of supply chains globally and locally. In this blog post we look at how AI can be used, which companies are using it best, and also identify 5 ways people are currently using artificial intelligence to get a better grasp on managing the supply chain.
Using the massive amount of data generated by company operations, an organization is able to use AI-enabled solutions and teams of data scientists to transform supply chain operations: implementing factory automation; improving quality control, forecasting demand; predictive maintenance; and so much more!
Supply chain departments are working as part of the brains of the operations they are attached to. The role of supply chain management has become so central to organizations as they get bigger that they are now becoming a major independent industry of their own.
Supply chain issues are not a result of a lack of trying, instead they are usually the result of the entire industrial complex being overwhelmed by demand during the pandemic. Rather than focusing on supplying needs across departments of an organization, supply chains have more recently become associated with maximizing a company’s value and performance.
The industry has moved from focusing on the logistics of moving product to customers to focusing on growing supply in certain industries being hit by abnormal demand. And companies are leaning more on AI solutions to make this happen in order to thrive in these crazy times.
AI-based solutions are more readily available and accessible to assist businesses in achieving next-level supply-chain management performance.
Those successfully using AI-enabled supply chain management have been able to reduce logistics costs by 15%, inventory by 35%, and service levels by 65% when compared to competitors who are not adapting to and using artificial intelligence for supply chain management.
AI is quickly gaining popularity in the supply chain and logistics industry. It is becoming increasingly apparent to supply chain and logistics industry leaders that AI is more than capable of handling the complexity involved in running both local and global logistics networks.
Artificial intelligence is transforming the industry by more efficiently tracking operations, improving supply chain management and productivity, supplementing business plans, and even interacting with online customers.
It is only natural that major companies like IBM and Google are taking full advantage of AI for supply chain management, but companies not typically known for using advanced artificial intelligence programs are starting to pay attention, too.
