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Services
Industrial Autonomy & Engineering
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Industrial Autonomy & Engineering: Building autonomous enterprises where intelligence is embedded directly into the value chain and operating models
Learn how TCS’ solutions powered by IoT, artificial intelligence, and digital engineering help build purpose-driven, resilient, and sustainable enterprises.
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Highlights
- New digital services present numerous opportunities for the cargo handling industry.
- Cargotec wanted to digitalize its cargo handling operations.
- TCS helped in rapid value delivery with a cloud-based IoT platform and advanced analytics.
In this article
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Overview
Cargotec aims to leverage digital services to transform cargo handling operations.
- The new digital services provide huge opportunities for the cargo handling industry.
- Cargotec’s vision is to be the leader in intelligent cargo handling.
- It plans to connect its entire fleet and achieve comprehensive data analytics capabilities.
Considerations
The key aspects were as follows:
Geographical spread of equipment across the globe.
Diverse business units and operations across the organization.
Disparate equipment conforming to varied specifications and protocols.
Integration with existing legacy systems to migrate them to a unified AWS Cloud Platform.
Need for remote onboarding and diagnostics.
Secure end-to-end data and communication channel.
Solution
TCS and Cargotec co-created an IoT platform to collect, store, and analyze sensory data.
TCS leveraged its Sensor Data Analytics IoT Framework (SDAF) and modernized data lake using native services on AWS, to design and build a cloud-based platform for Cargotec. The integrated solution enabled IoT-based, real-time data collection, management, and monitoring strategies. We provided a scalable solution using cloud infrastructure-as-a-service, with secure data channels between the equipment and the cloud.
Key features
Our cloud solution uses Agile, IoT, big data analytics, BI, and API.
- Data lake and big data platform, enabling storage and reporting of data in large quantities, algorithm-driven actions, business process automation, and data publication through APIs.
- Web portals and business intelligence-based reports for KPIs, alerts, notifications, and performance-related metrics to support internal and external customers.
- Cloud-based automation, leveraging advanced AWS Cloud PaaS services.
- Provisioning for real-time and advanced analytics on equipment data.
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