Digital business models in after sales

Machine builders

We often support OEMs in the development of digital business models based on data.

 

Condition-based services often enable OEMs in after sales to operate new sales opportunities and customer relationships over the lifetime of the machines.

Above all, our service already applies
delivered machines.

As easy as with a car:
Know in time and exactly
when and what to do.

 
Get critical or future critical conditions reported automatically.
In industry it is called
condition monitoring and predictive maintenance
A service insurance
based on data

It is often the case that machines are delivered and therefore no information about the machines is available. In the after sales, an ongoing customer relationship could be established or deepened through data.

The potential with a customer-oriented solution, especially with machines that have already been (long) delivered, is enormous.

SaaS
business models
for machine builder
What is it all about

An offer so that your customers always know that you will be informed in good time and preventively before a failure can occur.

 

Runtimes, certain (critical) faults, certain measured values ​​can be identified with the help of algorithms in order to make a prediction of possible damage.

 

It is a service insurance.

Our service

Plug & Use - connectivity

With or without network connection
With or without PLC connection

Sensor independent of the machine data
Additional or with existing sensors

Analytics - reporting
on terms, faults, fault patterns

Automatic alarm

 

Ongoing operation of the application

Everything so that you can continue to focus on your core business.

 

Flat rate
SaaS model without investment costs

 

Win / Win between
Machine builders & Manufacturer

Manufacturer
Imagine someone telling you in advance that your machines could have a long unplanned downtime.

You can prevent this in good time with specific measures.

 

OEM

Imagine that you have information about actual operating hours and fault patterns in order to proactively suggest measures to your customers so that an unplanned downtime does not occur at all.

New Income Stream
How can you make money?

It is a SaaS model with which you generate monthly / quarterly earnings.
Simply start to pick up your customer. With a flat fee per month, your customer can be sure that no critical alarms will be missed and that measures will be suggested immediately.

Recognizing fault patterns in connection with running times and measured values can significantly improve the quality of the information and you can expand your service in after sales through additional offers regarding spare parts, maintenance etc.

Voices from the "Internet"

There are a number of studies, surveys, and some lighthouse projects that shed light on OEMs' market opportunities related to data, predictive analytics, business models and customer relationships. Some statements are summarized here.

"Predictive maintenance is a key topic in the German machine builder industry."
"Only some companies already have specific predictive maintenance offers."
"Assessing customer benefits is primarily an increase in performance."
"Significant growth impulses for your service business through predictive maintenance."
"Different pricing models for predictive maintenance."
"A predictive system is based on an approach for every production object.
Data is collected and analyzed in real time from multiple connected sources (such as temperature and vibration sensors) to predict when an error could occur. "
"Analysis systems and associated algorithms process the data and look for anomalies and potential error patterns in each individual asset."

Let's chat!

Learn how MIM.365 can help your business
to profit from databased services. 

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