From Product Sales to Service: How IIoT Servitization Is Transforming the Machinery Industry

In Brief

• The traditional machinery business is reactive and fluctuates with customers’ investment cycles. IIoT servitization transforms this into a lasting, data-driven service relationship.

• The path to this goal involves several stages of maturity – from pure sales to selling machine performance rather than the machine itself.

• The starting point for every use case development is the customer, not the sensor: first understand the problem, then identify the appropriate IIoT data.

Traditional Machinery Sales and Their Limitations

We frequently encounter this pattern in the manufacturing industry: The traditional sales model in mechanical engineering is based on the one-time sale of capital goods. The manufacturer develops, produces, and delivers – and then steps into the background. Contact with the customer usually only occurs when something isn’t working.

This model faces structural limitations: Revenue fluctuates significantly because it is directly tied to customers’ investment cycles. Furthermore, once the machinery is delivered, there is no insight into how the customer’s machines are being operated. Service remains reactive – a technician only comes when customers report a malfunction.

What IIoT Servitization Means

IIoT servitization (the Industrial Internet of Things meets servitization) combines connected machines and sensors with a service-oriented business model. At its core, it involves making targeted use of the data generated by a machine during operation or collected by sensors – to deliver lasting value to customers while simultaneously tapping into new revenue streams.

The underlying principle is crucial: IIoT servitization does not replace the traditional sales model; it expands upon it. The sale of a machine can still serve as a starting point – for example, alongside Performance as a Service – but it becomes the foundation for a long-term, data-driven service relationship.

Five Maturity Levels, a Single Data Cycle

The path to full IIoT servitization follows a step-by-step approach in our five-level maturity model – from “no service” to “Performance as a Service.” At the final level, the manufacturer no longer sells the machine, but rather its performance. Each level builds on the previous one and requires an increasingly sophisticated digital infrastructure.

Technically, the entire system is based on a closed data loop that connects the machine, platform, service, sales, and billing. In this white paper, we show how this loop works in detail – and why a key hurdle is not a technical problem but a psychological one: customers’ concern about revealing trade secrets.

The Customer Comes First, Not the Sensor

Use cases emerge when teams first understand the customer’s problem, not when they start by asking the sensor. Those who ask, “What can our sensors measure?” instead of “What does our customer need?” end up developing features rather than added value.

A proven approach for this is a combination of the Business Model Canvas and the Value Proposition Canvas, supplemented by an explicit analysis of the available IIoT data. We recommend starting with two to three specific use cases and working through them thoroughly before adding more.

Four Ways to Monetize

Subscription, pay-per-use, freemium, transaction fee: These four monetization models are particularly well-suited for IIoT servitization – and depending on the use case and customer segment, they can also be combined. This makes service revenue predictable for manufacturing companies, while customers pay only for what they actually use. In our full white paper, we show which model suits which use case and how the models can be combined in practice.

Why Culture Is Often a Bigger Hurdle Than Technology

IIoT servitization is, in large part, a cultural and sales transformation – not purely a technological issue. Leadership must guide the company to see itself as a service provider rather than just a machine manufacturer. This also changes how the sales team operates: from deal closers to relationship managers.

Together with Pierre Wiese, Head of Business Applications Commercial at the Döhler Group, we demonstrated in the “Leaders in Manufacturing CX” masterclass how machine builders can make the transition from one-time sales to ongoing service relationships. Another topic was how to effectively manage operational risk in advanced models such as Performance as a Service.

In the full white paper, we show exactly how your company can move from the first use case to a revenue strategy – including a maturity model, IIoT data cycle, and monetization framework.

Want to know where your company stands on the journey from product sales to services? The full white paper provides the answers.

The Authors

Book an appointmentprojektanfragen.de@unic.com

Behind this white paper are two people who not only describe the journey from machine to service, but are also embarking on it themselves.

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