Optimize your supply chain with AWS

Gain end-to-end, real-time visibility and insights beyond immediate suppliers to build a resilient, intelligent, and cost-effective supply chain.
Today’s automotive supply chains are global networks of manufacturers, suppliers, dealerships, and digital retailers that work together to deliver products to the end customer. Industry challenges including forecast inaccuracies, parts shortages, and insufficient ability to track and trace has accelerated the transformation to cloud-based solutions. Modern supply chains continue to expand, and they also are becoming more complex and disparate with the need for single pane of glass view. Solutions built using AWS services provide the end-to-end visibility in today’s supply chains.

Benefits

Improve forecast accuracy
Use forecasts that are up to 50% more accurate with Amazon Forecast. Based on the same technology used at Amazon.com, it automatically discovers how time series data and other variables like product features and store locations affect each other.
Reduce inventory costs
Determine how much inventory to purchase and allocate with more accurate customer demand forecasts with Amazon Forecast. This helps you reduce inventory costs, while still ensuring a good customer experience.
Improve supply chain visibility and traceability
Facilitate Tier-N supplier network mapping for predicting supply disruption and improve the ability to trace parts in transit for better predictive ETAs.
Improve capacity utilization
Easily integrate more accurate forecasting into your existing business processes to improve capacity utilization. AWS supply chain management services integrate with your existing tools, such as SAP and Oracle Supply Chain.

Supply Chain solutions and services

AWS offers solutions and services purpose-built for the automotive industry. Explore AWS Supply Chain solutions to improve resiliency, visibility, and efficiency.

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Volkswagen Industrial Cloud

To improve its production efficiency by 30%, the Volkswagen Group has implemented a Digital Production Platform (DPP) that will transform the company’s manufacturing and logistics processes, connecting Volkswagen equipment across 122 plants as well as 1,500+ suppliers to optimize production and improve process efficiencies.

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AWS services

AWS IoT Core lets you connect billions of IoT devices and route trillions of messages to AWS services without managing infrastructure.
Make accurate predictions, get deeper insights from your data, reduce operational overhead, and improve customer experience with AWS machine learning (ML).
AWS IoT Greengrass is an open-source edge runtime and cloud service for building, deploying, and managing device software.
AWS provides the broadest selection of analytics services that fit all your data analytics needs and enables organizations of all sizes and industries to reinvent their business with data.
Amazon Managed Blockchain is a fully managed service that makes it easy to join public networks or create and manage scalable private networks using the popular open-source frameworks Hyperledger Fabric and Ethereum.
Amazon Forecast is a time-series forecasting service based on machine learning (ML) and built for business metrics analysis.

Customer stories

Learn how leading automotive companies are transforming their businesses with AWS Supply Chain solutions.

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Fleet Complete Uses AWS to Fuel Innovation and Generate Deeper Insights from IoT Data

By using smart sensors, connected to the cloud, to collect and transmit business-critical data from vehicles, assets, and employees, Fleet Complete helps fleet owners gain new insights into vehicle health, driver behavior, and more. Fleet Complete has experienced tenfold growth over the past several years, and it currently serves 35,000 businesses across 15 countries. To stay ahead of this data growth, the company needed more scalability for its IoT data analytics applications.

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Convoy Is Revolutionizing Trucking Through Machine Learning

Convoy uses Amazon SageMaker to provide better matches for shippers and truckers. AWS machine learning technology can be used to match pickups  and deliveries, maximizing the utilization of assets (trucks, containers, and chassis).

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Nestlé brings supply chain transparency with Amazon Managed Blockchain

Using the AWS Managed Blockchain service, the data entered at the source of harvesting is digitized to provide a full history of location, time harvested, shipping, and quality information.

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Innovate with key industry partners

Engage with a global community of AWS Partners who have demonstrated technical expertise and customer success in building solutions on AWS.

Resources

Check out AWS Automotive blog posts, videos, podcasts, and other resources to learn more and stay up to date on the latest developments.

Featured resource

Use Case: Campfire Interactive Profitability and Network Risk Solution

Campfire Interactive’s strategic relationship with AWS provides automotive businesses with an end-to-end solution to unlock profit potential within a highly reliable, scalable, cost-effective, cloud-based infrastructure platform.

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Use Case

Improving Forecast Accuracy with Machine Learning

The Improving Forecast Accuracy with Machine Learning solution generates, tests, compares, and iterates on Amazon Forecast forecasts. It automatically produces forecasts and generates visualization dashboards, providing a quick, easy, drag-and-drop interface that displays time series input and forecasted output.

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Use Case

Aramex improves the Customer Experience by deploying Amazon SageMaker

Aramex deployed an AWS Machine Learning solution, which takes advantage of Amazon SageMaker and other AWS services, to predictively analyze shipment transit times.

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Get started

Automotive companies of all types and sizes—from global automakers to startups—rely on AWS. Contact our experts and start your own journey to the cloud today.
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