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Maschinenbau leverages GenAI to optimise efficiency by improving master data management",[206,209],{"path":203,"langcode":207},{"id":208},"en",{"path":210,"langcode":211},"\u002Fde\u002Fcase-studies\u002Fbrueckner-maschinenbau-nutzt-genai-fuer-mehr-effizienz-durch-optimiertes",{"id":212},"de",{"id":214,"sharedMediaLegend":215,"mediaImage":216,"name":240},"170997",null,{"url":217,"width":218,"height":219,"alt":220,"title":215,"size":221,"mime":222,"variations":215,"headerMinimalVariations":223},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fbrueckner-maschinenbau_1.jpg",1920,886,"machine of Brückner 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Maschinenbau leverages GenAI to optimise production efficiency",{"processed":243},"\u003Cp>For Brückner Maschinenbau, inconsistent and incomplete material data was a major challenge. Discover how we used GenAI to streamline data management, to not only save time but also increase efficiency.\u003C\u002Fp>\n",{"id":245,"sharedMediaLegend":215,"mediaImage":246,"name":240},"170996",{"url":247,"width":248,"height":249,"alt":250,"title":215,"size":251,"mime":222,"variations":215},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fbrueckner-maschinenbau.jpg",998,460,"a machine of Brückner Maschinenbau",156083,{"id":253,"sharedMediaLegend":215,"mediaImage":254,"name":260},"170982",{"url":255,"width":256,"height":257,"alt":258,"title":215,"size":259,"mime":222,"variations":215},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Flogo-brueckner-maschinenbau.jpg",709,148,"Logo of Brückner Maschinenbau",10265,"logo-brueckner-maschinenbau.jpg",[262,285,291,301,306,333,338,346],{"__typename":263,"id":264,"columns":265,"listItems":266,"text":215,"title":283,"variant":284},"ParagraphPgContentList","31912","3col",[267,273,278],{"id":268,"icon":215,"link":215,"logo":215,"media":215,"text":269,"title":272},"31909",{"value":270,"processed":270,"format":271},"\u003Cp>Brückner faced the common, yet critical, issue of inconsistent and incomplete material master data in R&D and manufacturing. This was due to incomplete, inconsistent, and heterogeneous material data sets from external sources like part suppliers.\u003C\u002Fp>","content_list","Main challenge: inconsistent and incomplete material master data",{"id":274,"icon":215,"link":215,"logo":215,"media":215,"text":275,"title":277},"31910",{"value":276,"processed":276,"format":271},"\u003Cp>We designed and implemented a GenAI-powered app that addressed this critical operational challenge and strengthened Brückner´s position as a forward-thinking leader in its sector.\u003C\u002Fp>","GenAI-powered app to address this critical issue",{"id":279,"icon":215,"link":215,"logo":215,"media":215,"text":280,"title":282},"31911",{"value":281,"processed":281,"format":271},"\u003Cp>The result is a bespoke and user-friendly solution that not only saves time for data managers but also for the engineers relying on and working with that data.\u003C\u002Fp>","User-friendly solution saves time and resources","The project at a glance","icon",{"__typename":286,"id":287,"ctaLink":215,"pgSharedText":288,"pgSharedTitle":215,"pgSharedCtaLink":215},"ParagraphPgText","27735",{"value":289,"processed":289,"format":290},"\u003Cp>In manufacturing, accurate data is as crucial as the materials themselves. Brückner Maschinenbau, a market leader in film stretching with innovative solutions for various industries and materials, faced a common yet critical issue: an ever-growing database of over 500,000 parts where maintaining data consistency was becoming an increasingly laborious task.\u003C\u002Fp>\u003Cp>For several reasons, including the ingestion of third-party data (from libraries, certificates, and specifications), duplicates, heterogeneous nomenclature, and missing change logs, working with data became increasingly error-prone, inefficient, and costly.\u003C\u002Fp>\u003Cp>This challenge was a thorn in the side of highly skilled Brückner engineers, who often spent valuable time searching for the right materials, or missed essential change notices for components due to duplicates in the database. The initial goal was clear: improve data consistency and retrieval to streamline operations through automated data harmonisation and enable the engineers to focus on tasks with higher value.\u003C\u002Fp>","full_html",{"__typename":292,"id":293,"eyebrow":215,"pgQuoteRefQuote":294,"hideImage":215,"hideFunctionAndCompany":215,"bigQuote":215},"ParagraphPgQuote","27736",[295],{"status":7,"id":296,"promote":297,"quotePersonDesc":298,"quotePersonName":299,"quoteText":300,"profileImage":215,"title":299},"26227",false,"Engineering Electric - Material Planning, Brückner Maschinenbau","Thomas Grünäugl","The collaboration with Zühlke was a natural choice, given their proven track record in AI and industry-specific solutions.",{"__typename":286,"id":302,"ctaLink":215,"pgSharedText":303,"pgSharedTitle":305,"pgSharedCtaLink":215},"27737",{"value":304,"processed":304,"format":290},"\u003Cp>Our team began by introducing Brückner to the specific benefits of customised Large Language Models (LLMs) for automating data quality. As a foundation, we gathered requirements through user interviews and data exploration. The solution was a bespoke application that enabled users to upload data and correct it with the help of LLMs to then reintegrate the refined results into the database. The key innovation was a user-friendly app that made powerful AI tools accessible for daily operations, creating tangible value for Brückner that reaches beyond the scope of this project.\u003C\u002Fp>\u003Cp>The process wasn't just about deploying a solution but also involved continuous testing (technical and user acceptance) and development. We worked closely with Brückner’s data management team, ensuring the system was tailored to their specific needs and integrated smoothly into their workflow. The project was delivered in record time, with the Minimum Viable Product (MVP) achieving highly promising levels of accuracy.\u003C\u002Fp>","Bespoke user interface and seamless integration: key to GenAI accessibility",{"__typename":307,"id":308,"caption":215,"imageRight":215,"pgSharedTitle":309,"pgSharedCtaLink":215,"textMedia":310,"pgSharedText":331},"ParagraphPgTextMedia","27738","Driving tangible benefits and sparking a wave of enthusiasm",{"id":311,"sharedMediaLegend":215,"mediaImage":312,"name":330},"170984",{"url":313,"width":314,"height":315,"alt":316,"title":215,"size":317,"mime":222,"variations":215,"textMediaVariations":318},"https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fimages\u002Fmachine-brueckner-maschinenbau.jpg",955,764,"A machine of Brückner Maschinenbau",115460,[319,324,325,326,329],{"name":320,"url":321,"width":322,"height":323},"FIXED_WIDTH_SMALL","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffixed_width_small\u002Fpublic\u002Fimages\u002Fmachine-brueckner-maschinenbau.jpg.webp?itok=VphCmjZb",900,720,{"name":320,"url":321,"width":322,"height":323},{"name":320,"url":321,"width":322,"height":323},{"name":327,"url":328,"width":314,"height":315},"FIXED_WIDTH_MEDIUM","https:\u002F\u002Fcms.zuehlke.com\u002Fsites\u002Fdefault\u002Ffiles\u002Fstyles\u002Ffixed_width_medium\u002Fpublic\u002Fimages\u002Fmachine-brueckner-maschinenbau.jpg.webp?itok=x0ebXWTY",{"name":327,"url":328,"width":314,"height":315},"machine-brueckner-maschinenbau.jpg",{"value":332,"processed":332,"format":290},"\u003Cp>The outcomes of this project were both immediate and far-reaching. The MVP alone saved Brückner several hours per week, a substantial efficiency gain. Moreover, the system was ready to correct hundreds of data entries within the first week of use. Beyond these immediate benefits, the project sparked a wave of enthusiasm within Brückner. The successful use of LLMs to improve data quality not only solved a pressing issue but also opened doors to future AI initiatives across the company.\u003C\u002Fp>",{"__typename":286,"id":334,"ctaLink":215,"pgSharedText":335,"pgSharedTitle":337,"pgSharedCtaLink":215},"27739",{"value":336,"processed":336,"format":290},"\u003Cp>Building on the successful collaboration, we are very proud to support Brückner in other projects along its transformation journey. For example, we have also helped enhance the predictability and control of packaging film quality in Brückner´s production process.\u003C\u002Fp>\u003Cp>The high complexity of the production process, involving dozens of material types and hundreds of machine parameters, made it challenging to achieve desired packaging film quality properties reliably. We leveraged AI to reliably predict and influence film quality before production, reducing waste and improving overall efficiency.\u003C\u002Fp>\u003Cp>Explainable AI provided data-driven insights into the production process, fostering a deeper understanding of the process as well as increasing transparency and trust in the AI models. Notably, AI models were capable of capturing key underlying physical mechanisms to make accurate predictions on product quality based on machine and material parameters. These insights will serve as the foundation for AI-based predictive assistants developed in the future.\u003C\u002Fp>","The story continues: Increasing production efficiency and quality with AI",{"__typename":292,"id":339,"eyebrow":215,"pgQuoteRefQuote":340,"hideImage":215,"hideFunctionAndCompany":215,"bigQuote":215},"27740",[341],{"status":7,"id":342,"promote":297,"quotePersonDesc":343,"quotePersonName":344,"quoteText":345,"profileImage":215,"title":344},"26228","Head AI, Brückner Maschinenbau","Wolfgang Zintz","Zühlke's role was pivotal. The team combined strong industry know-how, deep expertise in applied AI, and a user-centric approach to support our journey from strategy to implementation.",{"__typename":286,"id":347,"ctaLink":215,"pgSharedText":348,"pgSharedTitle":350,"pgSharedCtaLink":215},"27741",{"value":349,"processed":349,"format":290},"\u003Cp>Our partnership with Brückner led to the rapid design, development, testing, and deployment of successful solutions within weeks. These solutions not only address critical operational challenges but also strengthen Brückner´s position as a forward-thinking leader in its sector. For other companies facing similar data quality issues, the key takeaway is clear: with the right technology, approach, and partner, even the biggest challenges can be transformed into opportunities for growth and innovation.\u003C\u002Fp>\u003Cp>For organisations that are, like Brückner, looking to deploy new technologies at a larger scale to solve similar problems, exploring AI-driven solutions is a step towards unlocking real benefits.\u003C\u002Fp>\u003Cp>Do you want to discover more AI use cases that create real impact for your business? Visit our \u003Ca href=\"https:\u002F\u002Fwww.zuehlke.com\u002Fen\u002Finsights\u002Fai-industry-value-chain\">webpage ‘AI in the industrial value chain’.\u003C\u002Fa>\u003C\u002Fp>","The first step is key, as the real benefits lie beyond the hype",[352],{"id":353,"name":354},"10","Industrial sector",[356,359,362,365],{"id":357,"name":358},"110","AI",{"id":360,"name":361},"874","GenAI",{"id":363,"name":364},"875","Data",{"id":366,"name":367},"877","Data engineering",{"processed":369},"\u003Cp>For Brückner Maschinenbau, inconsistent and incomplete material data from multiple external sources was becoming a major bottleneck. 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