E-commerce Giant’s subsidiary, Amazon Web Services (AWS) has revealed that CEAT LTD (CEAT), one of India’s leading tyre manufacturers has decided to use AWS to drive smart manufacturing and invent intelligent tyres – tyres with sensors which can predict various data points such as load and wear.
Using the breadth and depth of AWS cloud capabilities, including Internet of Things (IoT), analytics and business intelligence, and machine learning,
CEAT is digitizing factories to unlock manufacturing efficiencies, make data-driven decisions with SAP on AWS, and launch innovative digital services.
“AWS has helped us deliver a better customer experience by using cloud capabilities, like machine learning, serverless computing, and database services,” said Ganesh Bhat, head of digital and analytics (CoE) at CEAT LTD. “With AWS, we can drive smart manufacturing capabilities and create new products, like intelligent tyres, much faster. In addition, we can focus on innovation instead of system maintenance by using the cloud to automate more processes.”
“CEAT is making its factories smart with AWS, bringing the best of the cloud to the tyre manufacturing process,” said Puneet Chandok, president of Commercial Business, AWS India and South Asia at AISPL. “With AWS, CEAT can innovate rapidly with the latest cloud technology. CEAT has taken tyre manufacturing to new heights, and the results are showing, as the company continues to delight customers and dealers.”
For example, by using AWS services, CEAT was able to develop a solution that automatically recommends which tyres dealers should order based on history and real-time supply, improving customer experience.
Before migrating to AWS, CEAT’s on-premises infrastructure could not scale with the demand for new digital services. As a first step to improve agility and accelerate innovation, CEAT implemented a modern SAP S/4HANA enterprise resource planning (ERP) platform on AWS.
Then, using Amazon QuickSight, an AWS service that helps CEAT employees easily understand data, CEAT set up real-time analytics dashboards using factory and enterprise data.
To digitize its manufacturing processes, which require 250 raw materials, CEAT connected production machines, like curing presses, to the cloud and built a data lake on Amazon Simple Storage Service (Amazon S3).
This lake securely stores CEAT’s structured and unstructured data from across its operations at scale, improving CEAT’s view of factory operations and helping line managers closely monitor factory operations.
For example, CEAT uses Amazon SageMaker, AWS’s service for building, training, and deploying machine learning models quickly in the cloud and at the edge to predict leaks in tyre-curing presses. This prediction decreases tyre waste by reducing factory line stoppages and improving tyre quality.
With AWS, CEAT can now rapidly develop innovative digital solutions for customers. CEAT uses Amazon Redshift, a cloud data warehouse, and Amazon SageMaker for an experimental solution.
CEAT also used Amazon Redshift to pilot a service that automatically recommends which tyres dealers should order based on history and real-time supply, further enhancing the customer experience.