AWS Services Supply Chain: Current developments

Amazon Web Services (AWS) recently announced significant enhancements to its supply chain solutions that are specifically relevant to IT professionals and businesses looking to optimize their supply chains. These new features provide advanced capabilities to improve visibility, planning and sustainability in the supply chain.

Extended functions and innovations

The new functions include AWS Supply Chain Supply Planning, N-Tier Visibility, Sustainability and Amazon Q, a generative AI assistant.

-Supply Planning uses specialized models to accurately forecast and plan the purchase of raw materials, components and finished goods. This helps to reduce storage costs and react more quickly to changes in demand.

-N-Tier Visibility improves communication and collaboration with different levels of suppliers, which improves the accuracy of planning and execution.

-Sustainability provides a centralized, auditable platform for collecting and managing sustainability data to meet regulatory requirements and consumer expectations.

-Amazon Q supports with AI-driven answers to complex supply chain questions and helps with the visualization of scenarios and decision-making.

Use of artificial intelligence and machine learning

The new functions rely heavily on artificial intelligence (AI) and machine learning (ML). AWS Supply Chain integrates data from various sources, including ERP systems, and transforms it into a unified data model that should enable accurate predictions and recommendations. For example, the use of generative AI improves data ingestion and integration, reducing manual processes and increasing efficiency.

Partnerships and industry applications

In this context , the recent announcement by SAP and AWS to work together on innovations and generative AI in the future is exciting. The companies have expanded their collaboration to transform modern cloud ERP experiences with generative AI. The integration of generative AI into the SAP AI Core infrastructure makes it possible to use large language models such as Amazon Bedrock in SAP applications.

The partnership aims to improve the performance of SAP workloads on AWS and support SAP's future Business AI offerings. AWS Graviton3 chips will be used to increase efficiency and sustainability. Amazon's Project Kuiper will also benefit from the RISE with SAP solution.

Relevance and benefits for IT professionals

These developments offer several advantages for IT professionals:

-Improved efficiency: The integration and automation of data reduces administrative work and leaves more time for strategic tasks.

-Increased accuracy: ML-supported forecasts and planning minimize the risk of stock shortages or overstocking.

-Sustainability: Centralized management of sustainability data facilitates compliance with environmental regulations and improves the company's image.

-Innovation through AI: The use of generative AI facilitates complex decisions and promotes innovative solutions in the supply chain.

Supply chain learning with skill IT

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