2 3 4 5 Build a data pipeline from edge devices with AWS IoT Core. Control your equipment fleet with AWS IoT Greengrass and AWS IoT Device Management. Leverage the AWS global infrastructure to connect multiple workloads and create a unified data stream inclusive of geographically dispersed endpoints. Deploy an elastic and scalable data ingestion and management solution, able to ensure increased security, availability, fault tolerance and resilience. Reduce or expand store and compute capacity depending on seasonal fluctuations of global trades without any upfront capital investments and low maintenance, adapting to the industry’s cyclicality. Predict accidents and equipment failure, plan accordingly to avoid damages to your cargo, financial losses, and supply chain disruptions. With Machine Learning at the Edge and Amazon SageMaker Neo, enable touchless interaction with voice command between operators, devices, vehicles, and AWS services. Capabilities to preprocess and compress information at the edge makes this solution deployable even in instances of intermittent connectivity or low bandwidth. Leverage blockchain technology with Amazon Quantum Ledger Database and satisfy regulatory authorities auditing requirements. Keep an immutable repository of transactions and freight status (temperature, location) to establish a clear chain of custody and responsibilities in case of accidents and claims. Turn data into actionable knowledge with Amazon Redshift and Amazon QuickSight. Disseminate alerts and notifications across the entire supply chain with Amazon SNS. Use Amazon API Gateway to share visibility on key metrics and milestones with customers and partners
