Unlocking Value in Supply Chains with Data and AI
In last month’s post, I shared my key forecasts for 2024. This article delves deeper into the critical need for consolidating scattered data from various systems into a cohesive data model. Supply chain executives are grappling with increasing complexities due to expanding global networks and growing customer demands. Consequently, effective supply chain management has evolved into a key strategic advantage for businesses aiming to meet these expectations. For more insights, check out this related blog post.
Transforming Legacy Supply Chain Data to AWS Supply Chain
by Rachel Thompson
on 14 NOV 2023
in Amazon Simple Storage Service (S3), Architecture, AWS Glue, AWS Glue DataBrew, AWS Supply Chain, Customer Solutions, Storage, Supply Chain, Technical How-to
Organizations across diverse sectors continue to utilize disconnected systems like enterprise resource planning (ERP), order management systems (OMS), and enterprise data warehouses (EDW) to manage their supply chain and operational data. While these systems effectively fulfill their fundamental roles, supply chain data often remains trapped within these isolated sources. The underlying data infrastructure must be modernized to unlock its full potential. For authoritative insights on this topic, refer to this resource.
AWS Stock Depletion Engine: Minimizing Waste of Perishable Goods
by Emily Carter, David Ruiz, and George Smith
on 09 DEC 2022
in Amazon API Gateway, Amazon Athena, Amazon Aurora, Amazon Machine Learning, Amazon Redshift, Amazon SageMaker, AWS Glue, AWS Lake Formation, AWS Lambda, Best Practices, Customer Solutions, Thought Leadership
Managing inventory for perishable items poses significant challenges for various industries, including food manufacturing, grocery wholesale and retail, and pharmaceuticals. Excess inventory levels of dairy, meat, produce, medications, and even beer are subject to expiration, “best before” dates, or critical milestones in their lifecycle (e.g., …).
Clarifying Supply Chain Visibility to Achieve New Efficiencies
by Michael Green, Emma Walker, and James Taylor
on 09 DEC 2022
in Amazon AppFlow, Amazon Machine Learning, Amazon QuickSight, Amazon SageMaker, Amazon Simple Storage Service (S3), AWS Glue, AWS Glue DataBrew, Best Practices, Customer Solutions, Thought Leadership
Executives attempting to gain a comprehensive view of their company’s supply chain often encounter a landscape obscured by fog—an incomplete and fragmented understanding of operational realities. Data is frequently stored in disconnected, siloed systems, complicating processes like external logistics or the current state of inventory.
For further exploration of these topics, visit this excellent resource.
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