When displaying this video, personal data will be sent to YouTube. You have to grant us permission to load this video. If you already have revoked your consent, you will find details in our privacy policy.
Open cookie settings
Share Video on:
„maiService“: Collaborative Service-Platform
Asset intelligence network, predictive service, machine learning: our interactive showcase goes beyond classic service and provides answers to today’s challenges in service management.
Find out how “maiService” supports you in expanding your service business.
Service is the new Marketing
We live in the age of the experience economy and this means that only those who provide services quickly and effectively can gain a market advantage, increase customer loyalty and transform service cases into targeted marketing for their company.
Machine manufacturers in particular face the challenge of optimizing processing times and information flows in the service process, controlling these on an event-driven basis, often under time pressure, and allocating service technicians and spare parts around the world.
What exactly does “maiService” show?
The scenario networks operators (customers of machines and service-relevant systems and parts), service providers (of the systems, machines, parts) and the manufacturers of these assets.
Close collaboration increases both the transparency and efficiency of systems, minimizes downtime and repair times, and enables repairs to be planned in advance.
In this ecosystem, employees of the companies involved get all of the information they need in a user friendly way.
In addition, new business models for service providers and manufacturers in line with “asset and result as a service” arise.
In the digital and networked world of today, where everything happens much faster than it did a few years ago, the demands on efficient customer service have also risen. With maiService, we have therefore created a platform in an complex project tailored to these changes. On this basis, machine manufacturers can expand
their service business by optimizing processing times
and information flows in the service process with the help of IoT, controlling them on an event-driven basis,
and allocating service technicians and spare parts around the world.
What technologies are employed?
maiService allows manufacturers of systems and machines to work collaboratively with their customers and operators and also integrate external service partners. This optimizes existing processes and, for example, reduces downtimes and enables repairs to be planned in advance. Employing modern IoT technologies, such as SAP Intelligent Asset Management, the SAP Service Cloud, SAP Leonardo IoT, AI and SAP FSM, creates the framework for mapping digital service business models.
At a glance: what does “maiService” have to offer?
- A collaborative platform for operators and service providers
- Optimized resource & parts management
- Efficient service processes & predictive maintenance
- Identification of vulnerabilities in design & production
- Proactive development of spare parts & services offerings
- New business models through extensive data base
Individual consultation with maihiro experts
Ask our experts to design, test and implement your own service scenarios using “maiService.”
Arrange your individual consultation appointment now to find out how “maiService” can support you in expanding your service business.
The following may also be of interest to you:
Contact
If you are interested in an Exchange, please contact :
Enikö Kleeblatt
Lead Executive
If you have any questions about the "maiService" Showcase and want to know more, please contact me at any time!
| Phone: | +49 89 89085-237 |
| Email: | Enikö Kleeblatt |