Machinery & Plant Engineering
From the supply chain to digital product communication: machinery & plant engineering is characterised by a high degree of technical, organisational and data-related complexity. Our experts create scalable data architectures that make complexity manageable and enable growth.
Consistent product data as the basis for service quality and trust.
Transparent supply chains for better decisions and greater resilience.
Complexity made simple – with intuitive product experiences.
Data Management for B2B Excellence
Product data in machinery & plant engineering is characterised by granular properties and complex relationships.
Business Intelligence Platform for ABB Switzerland
Reporting platform to support sales activities
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The amount of data that needs to be maintained in machinery & plant engineering is very high. In addition to pure product information, documents, certificates, CAD files and further information, for example on machine maintenance, are usually managed. The mapping of variants and relationships – such as accessories or spare parts – also plays an important role in machinery & plant engineering.
Map Complex Product Data Cleanly
To ensure that this data is displayed correctly in catalogues, web shops, service portals and configurators, powerful product content management is required – combined with automated, rule-based processes for maintenance, enrichment and export. A clean data model, clear workflows and a scalable architecture form the basis for sustainable data quality and efficient publication.
Classifications and Data Standards
Industry classifications such as eCl@ss, ETIM or UNSPSC support structured data exchange with partners, platforms and systems. A well-maintained data model is crucial for efficiently using these standards – especially when working with wholesalers, portals or OEMs. PXM solutions that already map classification standards in the data model are advantageous – or companies can rely on a digitalisation partner with many years of experience in data modelling and in-depth industry expertise.
Thanks to modern, AI-supported classification, large amounts of data can now be processed faster and more consistently. Products are automatically assigned to the appropriate classes and characteristics based on existing data structures, terminology or rule-based assignment logic. This reduces manual effort, improves data quality and significantly accelerates time-to-market.
Data Management for Efficient Supply Chain
How to manage supplier data onboarding effectively with data management.
Manufacturers often face the challenge of suppliers using different formats and structures for their product data. To avoid inefficiencies in data onboarding, intelligent rules and mapping mechanisms are needed to harmonise these differences and ensure data quality from the outset. Our experts ensure the seamless integration of your data, processes and organisation, from onboarding to the output channel.
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Intelligent Relationships for Cross- and Up-Selling
Hardly any other industry values relationships as much as machinery & plant engineering.
Products in machinery & plant engineering are often characterised by a multitude of specifications and different variants. This alone leads to a high degree of complexity in data management. In addition, the items in the data model usually need to be linked to accessories, repair tools and spare parts in order to optimise the purchasing experience for B2B customers.
The Potential of New Technologies
Whether it is IoT or predictive maintenance – new innovative technologies are also finding their way into traditional industries such as machinery & plant engineering.
In machinery & plant engineering, it is no longer just the machines themselves that are considered the product, but also the data they generate. In the B2B sector in particular, machines are valuable capital goods – their longevity is crucial for a high ROI. This makes regular maintenance and early detection of potential damage all the more important. With the help of intelligent sensor technology, risks can now be identified at an early stage. The virtual representation of machines and systems as digital twins also offers numerous advantages, as they reflect the current status in real time. For example, scenarios can be simulated, installations, maintenance and repairs can be monitored regardless of location, and maintenance strategies can be optimised in advance.
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Digital Transformation Tailored to Your Needs
Successful transformation requires a tailor-made strategy.
Off-the-shelf digital transformation? Not for B2B industrial companies. Every organisation has its own unique products, ranges, markets, goals and challenges. Whether it is internationalisation, data harmonisation, efficiency improvements or predictive maintenance – our experts will support you in designing and planning your individual transformation strategy. And when it comes to the use of AI, the same applies: without clean data structures, clearly defined processes and a robust system architecture, its potential remains untapped. We help you create the conditions for successful AI deployment – so that automation, analysis and intelligent decision support take effect where they create real added value.
The Advantage of Excellence.
founded and repeatedly reinvented as pioneers
completed projects in a wide range of industries
most demanding customers with global reach
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