Turn product data into a better customer experience.
Connected products generate a constant stream of information about how they are being used, where they are, and how they are performing. For the company behind the product, that data can become much more valuable when it is combined with service information, environmental context, and customer needs.
D4 provides the data layer between connected products and the experiences built around them. It can turn device signals into structured, contextual information that can be used by customer applications, service teams, and business systems.
The product knows more than the customer can see.
A connected product may already generate useful information about its status, usage, location, or performance. But that information is often locked inside device platforms or operational systems that were never designed to power a customer experience.
Building something useful on top of that data can require connecting multiple systems, translating different data formats, and deciding which information should actually be exposed to customers.
The challenge is not simply getting the data out. It is turning raw product signals into information that is relevant, understandable, and appropriate for the person using the product.
Connect the product to the experience around it.
D4 receives data from connected products and the systems supporting them. Device events can be structured, validated, filtered, and combined with information such as customer context, location, service history, or external data.
A workflow can then turn those signals into a customer specific result. A product status might become a simple health indicator. A change in usage might trigger a notification. A combination of signals might indicate that a product needs attention before the customer notices a problem.
Governed AI can also be used where interpretation adds value. The model receives curated information and can return structured insight, while the surrounding workflow controls how that result is validated and what happens next.
The resulting data can be exposed through a customer facing API and used by a mobile app, web experience, notification service, service portal, or other application.
Product signals combined with customer context.
Device telemetry
Status, usage, performance, temperature, energy consumption, or other product measurements.
Product events
Changes in state, warnings, errors, service events, and other activity generated by the product.
Customer context
Information needed to determine which product, account, or customer the data relates to.
Location data
Product location and relevant geographic information.
Service history
Previous maintenance, repairs, inspections, or other service activity.
External data
Weather, environmental conditions, third party APIs, or other information that can add useful context.
Historical usage
Previous product behaviour used to understand patterns and changes over time.
A product that can communicate what it knows.
Customers can get useful information from a connected product without having to understand the underlying sensor data or systems.
A customer application might show whether a product is operating normally, highlight unusual behaviour, provide usage insights, or explain when attention is required.
Behind the scenes, the same data can support service teams and business operations. A customer notification and a maintenance workflow can be powered by the same underlying event while receiving different outputs designed for their specific needs.
This creates a foundation for richer connected product experiences without requiring every application to integrate directly with every device or operational system.
Have a connected product with more data than your customers can use?
Talk to us about turning that data into a better product experience.
