Unlock supply chain value with data and AI

The article discusses how AWS Supply Chain unlocks value from fragmented supply chain data through a unified data model and AI/ML. It highlights the importance of data integration and advanced analytics in optimizing supply chains and meeting customer demands.

Specifically, the article covers:

• The digital supply chain promise of visibility, resilience, speed, and agility, but the challenge of fragmented data across systems
• The AWS Supply Chain Data Lake (SCDL) that integrates data from ERP, WMS, OMS, TMS, and other sources into a unified data asset
• Integration of SCDL with analytics tools like Amazon QuickSight, Amazon SageMaker, AWS Glue, and AWS Glue DataBrew
• Benefits of SCDL: accelerated time-to-value, reduced costs, improved visibility, increased resilience, higher forecast accuracy, and faster innovation
• Upcoming Amazon Q in AWS Supply Chain, a generative AI assistant for supply chain management
• Conclusion on unlocking supply chain data value through AWS Supply Chain for digital transformation and AI/ML capabilities