IoT solutions

Industrial Internet of Things (IIoT) can be used in many different ways to create value for both your business and your customers. Industrial IoT helps you gain insight into your production process, energy consumption, waste management, ... and take action accordingly. Next to internal process efficiency, IIOT helps you get insights into how your products are used by customers.

Create smart and connected business operations, easily.

By leveraging ThingWorx, manufacturing companies can optimize their business processes and product information, improving machine performance, product quality, and supply chain management. PTC ThingWorx differentiates in its rapid deployment, scalability, predictive maintenance and customization.

ThingWorx is your future proof platform for a smart & connected organization

Rapid deployment

ThingWorx's low-code environment enables rapid deployment of IIoT solutions, reducing time to market and enabling manufacturing companies to quickly realize the benefits of a smart and connected factory.

Predictive maintenance

ThingWorx's machine learning capabilities enable predictive maintenance, reducing downtime and maximizing equipment performance. By identifying maintenance needs before they cause failures, manufacturing companies can avoid costly repairs and maintain peak productivity.

Real-time insights

ThingWorx's real-time data collection and analysis capabilities enable manufacturing companies to gain insights into machine performance, production efficiency, and product quality. With real-time insights, companies can make informed decisions quickly and efficiently, improving overall business performance.

Connected Products
Connected Operations

What's the difference?

Smart Connected Products allows you to connect and optimize your end products, improve your service, increase customer satisfaction and even change your business model.

Smart Connected Operations allows manufacturers to collect vast amounts of shopfloor data, which can be used to identify trends and make predictions about future events. This data can be used to optimize production processes, reduce waste, and improve product quality.

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