Taking Service and After-Sales to the Next Level
Using the EquipmentCloud® digital transformation solution you can optimize your service and after-sales processes in mechanical engineering, improve customer loyalty and develop new data-based business models - all in one place, simply and efficiently.
Digital transformation made easy.
We want to make a lasting difference in mechanical engineering and help you stand out from the competition. Why are we doing this? Because we know it can be done better.
At the moment, data is scattered across various systems, Excel tables and checklists are time consuming to maintain, and service teams are only called when it is actually too late. But there is a better way to deliver modern service: the EquipmentCloud® digital transformation solution, which brings together all the data and information that you need in one place.
We see digitalization as an opportunity for mechanical engineering companies to establish data-based business models and open up new areas of business. We help you make the most of these opportunities offered by digitalization and take your service and after-sales to the next level.
Every use case a success
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166%
faster commissioning
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100%
more projects to manage
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70%
faster customer support
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25%
faster project turnaround
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55%
higher customer satisfaction
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25%
higher spare parts turnover
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100%
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53%
more after-sales business
Find your use case
Proactive customer service significantly reduces response times by identifying errors and downtimes at an early stage. Instant notification of important events via mobile devices enables mechanical engineering manufacturers to act proactively and quickly, significantly increasing operators' customer satisfaction. Upcoming maintenance and repair work can be planned and integrated into the ongoing production process or solved via remote support.
The interplay between efficiency, availability and quality of machines and systems is crucial for highly automated production processes. The use of machine data in real time raises product development to a higher level and opens up the use of new data-based services in after-sales. Condition monitoring as well as KPI and trend analyses enable preventive or even predictive AI-based maintenance. This reliably prevents unplanned downtimes and effectively extends the lifecycle of machines.
Machinery varies in terms of age, modularity and technology. From development to production and commissioning to after-sales, machines and systems pass through many hands. Transparency and traceability are therefore crucial. A central database is the basis for efficient and high-quality service and after-sales. Digital processes need to be optimized and rethought in terms of cross-functionality.
Digital customer portals turn products and services into an experience. They form the central point of entry for all information and data relating to the machine and system. When reactive service reaches its limits, they optimize customer communication, enable self-service and bundle information from different systems in one place.
IoT devices form the basis for intelligent applications of the near future, whose failure cannot be tolerated in an industrial environment. Uninterrupted connectivity, 100% security, 24/7 access, and remote monitoring and maintenance are essential for successful device management. Edge device management enables mechanical engineering manufacturers to offer immediate help worldwide, manage fleets of devices efficiently and risk-free, and monetize edge services.
These companies rely on EquipmentCloud®
Stay ahead with our latest blog posts
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How to Save Time with Optimized Maintenance Documentation in Mechanical Engineering
How would it be if there were a solution that reduces the time required for maintenance documentation in mechanical engineering to a minimum? Find out how the optimized maintenance module of the EquipmentCloud® digital transformation solution overcomes these challenges.
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How to Maximize the Efficiency of Your Site Acceptance Tests During Commissioning
Learn how to improve the efficiency of Site Acceptance Tests (SATs) for smooth commissioning and discover best practices for streamlining the entire process.
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How Data Analysis at Process Level Boosts Service Success in Mechanical Engineering
The analysis of process values offers mechanical engineers deep insights into process efficiency and how different types of machines and systems work across multiple locations. Learn how machine manufacturers benefit from analyzing their performance data.
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No Two OEE’s Are the Same! How Machines Can Be Evaluated Across Industries
Overall Equipment Efficiency, better known as OEE, is the golden standard for measuring productivity in manufacturing. But even though it is recognized globally, it varies between each company and industry. Read here how machines can still be evaluated using common metrics.
Working together for more innovation: Our network creates new potential
With our broad network of experts and partners, we are able to develop synergies and create new potential for EquipmentCloud® and as a result for you as a user. The joint exchange with our partners from different disciplines broadens our perspective and creates interdisciplinary approaches for an innovative product.
Are you ready to put your digitalization strategy into practice?
