At re:Invent 2022, the cloud services provider launched a new application that integrates machine learning to help enterprises get a unified view of their supply chain. Credit: Thinkstock Amazon Web Services (AWS) is making a foray into supply chain management with the release of a cloud application that integrates machine-learning to help large enterprises, which often use multiple ERP systems, get a unified view of suppliers, inventory, logistics and other supply-chain related components. The launch of the application, dubbed AWS Supply Chain, comes at a time when the world has been hit with a myriad of supply chain issues, including the pandemic and ongoing war in Ukraine. Supply chain management (SCM) is the fastest growing market in the enterprise application software segment and is estimated to generate sales of $20.24 billion in 2022, according to market research firm Gartner. AWS Supply Chain, announced at AWS re:Invent Tuesday, can connect to existing enterprise resource planning (ERP) suites and supply chain management systems via built-in connectors to unify all data into a supply chain data lake, which can be later used to generate actionable insights, the company said. The connectors use pretrained machine learning models based on Amazon.com’s own history of supply chain data to extract and aggregate data from ERP and supply chain management systems. Most enterprises today use disparate systems for supply chain management, which can lead to delays in identifying potential supply chain disruptions, said Diego Pantoja-Navajas, vice president of AWS Supply Chain. AWS Supply Chain offers map-based visualization To provide supply chain visibility and combat this problem, AWS Supply Chain, which can be accessed via the AWS Management Console, provides a visual representation of the unified data on a real-time visual map that contains contextual information, the company said. The map-based interface, along with contextual information such as inventory shortages or delays, can be used by inventory managers, demand planners and supply chain leaders to de-escalate potential disruptions, Pantoja-Navajas said, adding that the service could be set to generate alerts in case of disruptive scenarios. Additionally, AWS Supply Chain will automatically provide recommended actions to resolve supply chain issues, such as moving inventory among locations, after considering factors such as the distance between facilities, and the impact on sustainability, the company said, adding that teams can collaborate within the application using its built-in chat and messaging functionality. The new service, according to the company, is priced on a pay-as-you-consume model. AWS will charge $0.28 per hour for the first 10GB of storage and services. An additional $0.25 per GB per month will be charged when storage data exceeds 10GB, the company said. AWS Supply Chain, which is in preview, can be accessed across US East (North Virginia), US West (Oregon), and Europe (Frankfurt), regions, the company said, adding that availability across more regions will follow soon. Other products that AWS Supply Chain will compete with include Oracle Fusion Cloud SCM and Microsoft Dynamics 365 Supply Chain Management. Related content feature IT leaders’ AI talent needs hinge on reskilling Most organizations see the need to revamp their training programs to address AI skills shortages — an approach that delivers intangibles hiring can’t provide. By Grant Gross May 31, 2024 7 mins Hiring Generative AI IT Skills feature Skills the Irish Government CIO uses to advance digital transformation In his eight-year tenure as CIO at Ireland’s Department of Public Expenditure and Reform, Barry Lowry always had a vision of what digital government could look like. Here, he details how an approach built on transparency and innovation is conti By Ian Campbell May 31, 2024 8 mins CIO Government IT Cloud Management brandpost Sponsored by Cisco 3 reasons you should adopt cloud monitoring Cloud network management offers increased security, operational efficiencies, and more. By D Matthew Landry May 30, 2024 4 mins Machine Learning opinion Faultless with serverless: Cloud best practices for optimized returns What does a well-defined serverless approach look like? Let's learn some of the best modern approaches to handling Enterprises and SMEs growing serverless computing needs. By Yash Mehta May 30, 2024 5 mins Serverless Computing PODCASTS VIDEOS RESOURCES EVENTS SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe