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    Benefits of knowledge management in production
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    Reduced search times for information
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    Cost savings through faster ticket processing
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    Higher first-time fix rate

    Increasing product quality with experience

    Developing the best solution for every customer requirement costs time and money, even if not everything is realized. This makes it all the more important to capture the resulting experience and solution knowledge in such a waythat employees can quickly access and reuse it for future customer inquiries.
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    Optimize development processes

    Use existing experience such as design drawings, error knowledge or the behavior of different materials from the development process to develop new projects safely and without repeated sources of error .

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    Accelerate product development

    Increase the innovation rate and save development costs. Draw on existing experiencefor new projects to quickly find solutions to similar requirements that have already been implemented.

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    Simplify collaboration

    Secure an information advantage through transparency. By integrating knowledge from related departments such as service and quality management , you can rectify serial defects earlier and actively drive product improvements.

    Using product knowledge as an innovation factor


    Lay an important foundation for value creation in engineering - with AI-based knowledge management. In this way, you not only digitize central R&D processes, but also the knowledge gained from experience. This leads to faster go-to-market, better product quality and greater efficiency in the long term.

    Innovate faster thanks to transparency in the product life cycle

    Typical error patterns and their causes, application problems or unwanted wear - all of these are valuable sources ofknowledge. By makingfeedback and field data from the entire product life cycle in a structured way, you enable your design and development teams to make targeted improvements. This increases product quality and increases customer satisfactionin the long term .

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    Structured use of experience

    Make targeted use of existing know-how from previous projects, special solutions and challenges that have already been solved in new developments. By making this knowledge quickly available in a structured way, you reduce development times, avoid duplication of work and prevent known mistakes from being made again. This reduces the number of rejects in the long term and reduces the risk of product recalls.

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    Better cooperation with neighboring areas

    A shared information basis simplifies cooperation with adjacent areas such as service, quality assurance, production or sales. This allows you to share relevant information directly and avoid queries, escalations and loss of information in the process - while reducingtime-to-market.

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    Mastering complexity in engineering
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    Employees

    Reduce search times and unnecessary errors: With Empolis, employees get a quick overview of complex contexts and make better decisions on new projects.
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    Heads of department

    Networking with other areas of the company, such as quality or service, increases the consistency and efficiency of all R&D processes. Information can be shared in a targeted manner according to relevant rights and roles.
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    Heads of department

    Make strategic use of market and customer feedback to develop better products, avoid recalls, reduce external error costs and identify systematic product errors at an early stage.

    Frequently Asked Questions

    You can find information on frequently asked questions in our FAQ articles.

    • Because experiential knowledge is usually tied to the people who have gained this experience. Sooner or later, however, these experts leave the company. That is why it is important to retain at least a large part of the know-how .

      Experience-based knowledge is the key to efficient and targeted product development. It contains valuable insights from real use cases, solved problems, field feedback and previous projects - knowledge that is rarely available in a centralized and structured form.

      Such databases are particularly valuable if they are fed with data from the entire product life cycle, i.e. if they can access information from adjacent specialist areas.

      If this product and production-related knowledge is systematically recorded and made accessible, development and design teams benefit in several ways:

      • Known mistakes are not made again
      • Special solutions can be reused
      • Series errors can be identified and rectified more quickly
      • Application errors are detected earlier
      • Customer change requests can be taken into account in good time
      • Time and costs are reduced as duplication of work is avoided
      • Innovations are created faster because existing knowledge can be built upon

      Experience-based knowledge shortens the path from idea to market-ready product - and at the same time increases quality and customer satisfaction.

    • This question is difficult to answer in general terms, as it always depends on the amount of information that is structured and organized with intelligent knowledge management.

      However, merging the existing information from the development projects into a knowledge base can already pay off if a known solution can be found and applied for an incoming requirement.

      In practice, the first positive effects can often be seen after just a few weeks if structured empirical knowledge is used in a targeted manner - e.g.by avoiding known errors or reusing proven solutions.

      Other measurable results such as shorter development times, lower return rates or faster time-to-market cycles are often visible within the first 6-9 months, depending on

      • the maturity of existing knowledge processes,
      • the size and complexity of the product portfolio
      • and the integration of knowledge management into the day-to-day work of the teams.

      The best results are achieved by companies that use a central tool for several areas such as service, production or quality management, as this creates synergy effects. In the long term, professional knowledge management makes a decisive contribution to sustainably increasingthe ability to innovate, product quality and customer satisfaction .

    • CAD systems and SharePoint solutions store information - but they do not "understand" it.
      AI-supported knowledge management goes much further: it not only makes data accessible, but also transforms it into contextually usable knowledge.

      Here are the key differences:

      • Structured intelligence instead of file storage:
        Our AI recognizes correlations between documents, processes and error patterns - manual folder structures are a thing of the past.
      • Fast, relevant answers instead of long searches:
        While you search for terms in SharePoint, an AI system also uses synonyms or similar search terms to directly deliver suitable content, recommendations for action or similar cases.
      • Knowledge networking instead of data silos:
        CAD files often only contain geometric or technical information. Important decisions in the development process cannot be traced here. Intelligent knowledge management also links logs, service reports, field data, development documentation andmuchmore. This creates a comprehensive overall picture for the user to make well-founded decisions.
      • Making experiential knowledge available:
        AI taps into implicit knowledge from unstructured sources - e.g.emails, error logs or meeting notes - that would otherwise be lost.

      To summarize, AI-based knowledge management is not just a repository - it is an active tool for supporting decision-making and increasing efficiency in design and development processes. And in times when competitive advantages dependmore and more on the targeted handling of information, this is becoming increasingly important for maintaining competitive advantages.

    You too can set new standards

    Book a demo

    In an individual demo, you have the opportunity to get to know functions in more detail and have your individual questions answered by an expert. Together, you will discuss your specific use case and what opportunities AI-based knowledge management can offer you.

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    Let us discuss your concerns in detail! Together we will clarify the most important questions about knowledge management and the benefits of making your organization's knowledge available to the entire team.

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