Amazon announces new AWS Supply Chain capabilities
LAS VEGAS — Amazon has announced four new capabilities for Amazon Web Service (AWS) Supply Chain in the New Year.
The new features will expand existing data lake, demand planning, and machine learning (ML)-powered insights. AWS Supply Chain Supply Planning will help customers forecast, plan, position, and replenish components and finished goods to reduce inventory costs and respond more quickly to demand variations and supply disruptions.
AWS Supply Chain Supply Planning creates supply planning models that can predict the right levels of inventory needed across facilities. Supply Planning uses the demand forecasts created by AWS Supply Chain Demand Planning, along with data about product, facility, bill of materials (BOM), and inventory. This helps customers determine how many units to order, when to place the order, and where to position inventory.
AWS Supply Chain N-Tier Visibility helps customers invite and onboard trading partners, who can then automate communication and improve forecasts. They can share purchase orders and demand forecasts with their trading partners, and then track the status of those purchase orders or changing inventory levels. The updated supply plans and purchase orders are exported to Amazon Simple Storage Service (S3), so customers can integrate them with their ERP systems.
AWS Supply Chain Sustainability creates a more secure and efficient way for sustainability professionals to obtain documents and datasets from their supplier network. These customers can request, collect, and export artifacts, such as product life cycle assessments, certificates on product safety, or reports on hazardous substances used, at any point in the supply chain. Customers can also upload their own data collection form for their suppliers to document any sustainability issue, utilize a standard workflow process to send their suppliers reminders to answer data requests, and communicate necessary changes based on supplier responses.
Amazon Q in AWS Supply Chain is a generative AI assistant powered by Amazon Bedrock that provides a natural language interface in the AWS Supply Chain application so that customers can query data within the AWS Supply Chain Data Lake, and receive intelligent answers to “what?” and “why?” and “what if?” questions. Amazon Q can be tailored to a customer’s business and can visualize outcomes of complex scenarios and the tradeoffs between different supply chain decisions.
“Customers are excited that we’re making our extensive supply chain experience available to them as a managed service,” said Diego Pantoja-Navajas, vice president of AWS Supply Chain. “That, combined with our industry leading analytics and ML means customers can now track and plan for products more predictably, from manufacturing facilities to final points of distribution. With AWS Supply Chain, our customers have been able to increase inventory visibility and execute on insights to mitigate supply chain risks, reduce cost, and improve customer satisfaction. And thanks to the power of generative AI, customers can ask Amazon Q in AWS Supply Chain what is happening across their supply chains and receive intelligent, conversational answers to complex questions.”
With the new AWS Supply Chain capabilities announced today, customers can more easily manage their upstream supply chain, more accurately forecast needed materials and inventory, communicate with suppliers to confirm supply plans and obtain commitments, and get accurate data about key environmental factors.