Harnessing Data-Driven Services to Create New Revenue Streams for Smart-Connected Machines

Transform your lab with digital twins that centralise data and streamline AI integration. See how real-time insights can prepare your lab for the future of AI.

Driving New Revenue Streams with Data-Driven Services for Smart Machines

A Swiss-based industrial equipment manufacturer specialises in producing precision machines for critical industries, including aerospace, medical, and defence. The manufacturer sought to enhance their product offering by integrating digital services into their machines. Their goal was to provide real-time alerts and anomaly detection, remote monitoring and support services, and leveraging machine data for process optimisation and R&D. They faced challenges in ensuring customer data security and sovereignty while enabling effective collaboration for service delivery. The manufacturer needed a solution that allowed them to offer these advanced digital services remotely without requiring complex onsite installations and additional software.

Key Issues
  • Aims to enhance product offerings by integrating digital services into their machines
  • Goals include real-time alerts, anomaly detection, remote monitoring, and support services
  • Leveraging machine data for process optimisation and R&D is a priority
  • Challenges include ensuring data security and sovereignty for customers
Challenges

The primary challenge was to deliver a data-driven service model that maintained:

  • Data Security and Sovereignty: Ensuring customers' data was secure and under their control.
  • Efficient Remote Services: Providing real-time machine data, alerts, and support remotely.
  • Seamless Integration: Allowing customers to integrate data with their existing systems like ERP and MES.
  • Scalable Solutions: Enabling the manufacturer to apply AI and predictive analytics centrally.

Solution

IndustryApps implemented its Dataspace Edge solution to address these challenges and drive new revenue streams for the manufacturer. Key elements of the solution included:

Impact

  • Enhanced Customer Value: Customers benefited from real-time machine insights, proactive maintenance alerts, and remote support services, improving machine uptime and quality outputs
  • Seamless Integration: The standardised data model and modern protocols ensured that data could be easily integrated into customers' existing systems, making the machines a preferred choice for future investments.
  • Scalable Data Services: The manufacturer could offer scalable data-driven services such as remote maintenance and predictive analytics without additional onsite efforts. This opened up new revenue streams and differentiated their product offering in a competitive market.
  • Efficient R&D: The manufacturer leveraged machine data for process optimisation, research, and development, accelerating innovation and improving machine design and performance.

The Swiss-based industrial equipment manufacturer successfully transformed their machines into smart, data-driven assets with AI. This enhanced the value provided to customers and created new opportunities for revenue generation and competitive differentiation in the industrial equipment market.

Ready to Revolutionise Your Industrial Operations?

Join the future of industrial digital transformation with IndustryApps. Experience seamless integration, unparalleled data control, and cutting-edge technology tailored to your needs.

Request a Demo

2.5M+

Digital Twins per Month

98.29%

Customer Satisfaction Rate

1M+

Streaming Machine Data Tags

Frequently Asked Questions

What is industrial data management, and why is it important?

Industrial data management involves collecting, integrating, and analysing data from various sources within an industrial environment. It is crucial for enhancing operational efficiency, making informed decisions, and driving innovation through real-time insights and predictive analytics.

Industrial data management involves collecting, integrating, and analysing data from various sources within an industrial environment. It is crucial for enhancing operational efficiency, making informed decisions, and driving innovation through real-time insights and predictive analytics.

How does an AI co-pilot improve industrial operations?

An AI co-pilot provides real-time insights and recommendations, helping operators optimize processes, reduce downtime, and improve productivity by leveraging advanced analytics and machine learning algorithms.

An AI co-pilot provides real-time insights and recommendations, helping operators optimize processes, reduce downtime, and improve productivity by leveraging advanced analytics and machine learning algorithms.

What’s the difference between cloud and on-premise solutions?

Cloud solutions are hosted online, offering flexibility and remote access. On-premise solutions are installed locally on your hardware, providing greater control and security.

 Cloud solutions are hosted online, offering flexibility and remote access. On-premise solutions are installed locally on your hardware, providing greater control and security.

How secure is your industrial automation software?

Our software includes robust security measures such as data encryption, regular updates, and compliance with industry standards to protect your data.

 Our software includes robust security measures such as data encryption, regular updates, and compliance with industry standards to protect your data.

Can your software integrate with my current systems?

Yes, our solutions are designed for seamless integration with ERP, MES, IIOT, and other IT systems, ensuring smooth operation across all platforms.

 Yes, our solutions are designed for seamless integration with ERP, MES, IIOT, and other IT systems, ensuring smooth operation across all platforms.

How long does it take to implement your solutions?

Implementation times vary based on the project’s complexity, but our streamlined process ensures you’re up and running quickly, minimizing downtime and disruption.

 Implementation times vary based on the project’s complexity, but our streamlined process ensures you’re up and running quickly, minimizing downtime and disruption.

What benefits does AI-supported data mapping provide?

AI-supported data mapping ensures consistency and accuracy across all data sources, enhancing data quality and facilitating advanced analytics and AI applications.

AI-supported data mapping ensures consistency and accuracy across all data sources, enhancing data quality and facilitating advanced analytics and AI applications.

No items found.