Overview
Discover in this AWS re:Invent 2023 conference session how to achieve enhanced supply chain transparency using AI/ML technologies. Explore the implementation of automated, serverless AWS architectures designed to streamline the handling of supply chain documents through uploading, extraction, processing, verification, and validation. Gain insights from a real-world case study featuring PVH, the parent company of Tommy Hilfiger and Calvin Klein, who leveraged Amazon Textract, Amazon Comprehend, and Amazon SageMaker to achieve comprehensive visibility into their clothing supply chain. Learn about value chain transparency, ecological footprints, traceability mapping, and vertical integration while understanding how to build systems that meet growing demands from organizations, consumers, and regulators for increased supply chain disclosure. Examine practical applications including certificate views, geotracking capabilities, and future use cases that demonstrate how AWS services can transform supply chain management and transparency.
Syllabus
Introduction
AWS Industrial Knowledge
What is value chain transparency
What I did this morning
Value chain transparency
Supply chain example
Why are we doing this
Sentiment
Ecological Footprint
Traceability Map
Vertical Integration
Certifications
Product passport
System of systems
Visibility
collation
architecture
ML
PVH
L1 to L4
Use cases
Certificate view
Geotracking view
Future use cases
How can we help
Thank you
Taught by
AWS Events