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Unsere Kundenreferenzen sind jedoch nicht einheitlich gespeichert und zu wenig organisiert, was das Finden und Präsentieren relevanter \u003Ca href=\"\u002Fnode\u002F1353\" data-entity-type=\"node\" data-entity-uuid=\"64bcbe2e-3ab3-4776-b399-1f793d221ec1\" data-entity-substitution=\"canonical\">Case Studies\u003C\u002Fa> für potenzielle Kunden erschwerte und unsere Effizienz im Presales beeinträchtigte.\u003C\u002Fp>","\u003Cp>Presales bei Zühlke kann eine große Herausforderung sein: Mit über fünfzig Jahren Erfahrung und mehr als 10.000 erfolgreichen Projekten brauchten wir eine effektive Möglichkeit, unsere Expertise zu präsentieren. Unsere Kundenreferenzen sind jedoch nicht einheitlich gespeichert und zu wenig organisiert, was das Finden und Präsentieren relevanter \u003Ca href=\"\u002Fde\u002Fcase-studies\" data-entity-type=\"node\" data-entity-uuid=\"64bcbe2e-3ab3-4776-b399-1f793d221ec1\" data-entity-substitution=\"canonical\" title=\"UMBRELLA: Case studies (DE)\">Case Studies\u003C\u002Fa> für potenzielle Kunden erschwerte und unsere Effizienz im Presales beeinträchtigte.\u003C\u002Fp>","full_html",{"__typename":317,"id":318,"ctaLink":219,"pgSharedText":319,"pgSharedTitle":322,"pgSharedCtaLink":219},"ParagraphPgText","26054",{"value":320,"processed":321,"format":315},"\u003Cp>Zühlke nimmt diese Herausforderung an und entwickelt mithilfe ihrer eigenen \u003Ca href=\"\u002Fnode\u002F6647\" data-entity-type=\"node\" data-entity-uuid=\"685fea0a-4ce0-4b5d-ba0f-6fb137f51971\" data-entity-substitution=\"canonical\">Experten für Data & AI\u003C\u002Fa> den Project Finder. Dieses innovative Tool nutzt Large Language Models (LLMs), um unsere Projektnotizen aus verschiedenen Quellen zu optimieren und zu indexieren. Mit einer leistungsstarken Suchmaschine finden wir die relevantesten Kundenreferenzen für spezifische Presales-Aktivitäten. Der Chatbot unterstützt zusätzlich, indem er Fragen beantwortet und Referenzen in die gewünschten Formate umformuliert, was die Präsentation bei potenziellen Kunden erleichtert.\u003C\u002Fp>\u003Ch2>Die Ergebnisse\u003C\u002Fh2>\u003Cp>Ein erster Prototyp zeigt schnell das Potenzial der Idee und beweist Machbarkeit, Attraktivität und Rentabilität. Die 90 % der Teilnehmer, die planen, das Tool weiterhin zu nutzen, sind ein sicherer Hinweis darauf, dass wir etwas Großes erreicht haben. Erste Daten deuten auf ein jährliches Einsparungspotenzial von 2,5 Mio. bis 5 Mio. US-Dollar und eine erhöhte Lead-Konvertierungsrate hin, die einem zusätzlichen jährlichen Umsatz von 2,5 Mio. US-Dollar entspricht. Unser kürzlich eingesetztes Minimum Viable Product (MVP) wird nun auf breiter Basis eingesetzt und ist zu einem unverzichtbaren Werkzeug für unsere Vertriebsaktivitäten geworden.\u003C\u002Fp>\u003Ch2>Fazit\u003C\u002Fh2>\u003Cp>Unser Umgang mit innovativen Technologien, wie beim Project Finder, unterstreicht unser strategisches \u003Ca href=\"\u002Fnode\u002F6647\" data-entity-type=\"node\" data-entity-uuid=\"685fea0a-4ce0-4b5d-ba0f-6fb137f51971\" data-entity-substitution=\"canonical\">Know-how zum Thema GenAI\u003C\u002Fa> und unsere Innovationskraft. Indem wir ein kritisches Bedürfnis im Presales-Prozess adressieren, verfolgen wir weiter unser Ziel, Ideen zu fördern und neue Geschäftsmodelle auf Basis innovativer Technologien zu erschaffen. Der Mehrwert für unser Unternehmen zeigt sich in den signifikanten Kosteneinsparungen, erhöhten Einnahmen und verbesserten Beziehungen zu unseren Kunden. Der Project Finder ist ein Beweis für unser Engagement für kontinuierliche Verbesserung und Innovation.\u003C\u002Fp>","\u003Cp>Zühlke nimmt diese Herausforderung an und entwickelt mithilfe ihrer eigenen \u003Ca href=\"\u002Fde\u002Fexpertise\u002Fdatenarchitektur\" data-entity-type=\"node\" data-entity-uuid=\"685fea0a-4ce0-4b5d-ba0f-6fb137f51971\" data-entity-substitution=\"canonical\" title=\"EXPERTISE: Data solutions (DE)\">Experten für Data & AI\u003C\u002Fa> den Project Finder. Dieses innovative Tool nutzt Large Language Models (LLMs), um unsere Projektnotizen aus verschiedenen Quellen zu optimieren und zu indexieren. Mit einer leistungsstarken Suchmaschine finden wir die relevantesten Kundenreferenzen für spezifische Presales-Aktivitäten. Der Chatbot unterstützt zusätzlich, indem er Fragen beantwortet und Referenzen in die gewünschten Formate umformuliert, was die Präsentation bei potenziellen Kunden erleichtert.\u003C\u002Fp>\u003Ch2>Die Ergebnisse\u003C\u002Fh2>\u003Cp>Ein erster Prototyp zeigt schnell das Potenzial der Idee und beweist Machbarkeit, Attraktivität und Rentabilität. Die 90 % der Teilnehmer, die planen, das Tool weiterhin zu nutzen, sind ein sicherer Hinweis darauf, dass wir etwas Großes erreicht haben. Erste Daten deuten auf ein jährliches Einsparungspotenzial von 2,5 Mio. bis 5 Mio. US-Dollar und eine erhöhte Lead-Konvertierungsrate hin, die einem zusätzlichen jährlichen Umsatz von 2,5 Mio. US-Dollar entspricht. Unser kürzlich eingesetztes Minimum Viable Product (MVP) wird nun auf breiter Basis eingesetzt und ist zu einem unverzichtbaren Werkzeug für unsere Vertriebsaktivitäten geworden.\u003C\u002Fp>\u003Ch2>Fazit\u003C\u002Fh2>\u003Cp>Unser Umgang mit innovativen Technologien, wie beim Project Finder, unterstreicht unser strategisches \u003Ca href=\"\u002Fde\u002Fexpertise\u002Fdatenarchitektur\" data-entity-type=\"node\" data-entity-uuid=\"685fea0a-4ce0-4b5d-ba0f-6fb137f51971\" data-entity-substitution=\"canonical\" title=\"EXPERTISE: Data solutions (DE)\">Know-how zum Thema GenAI\u003C\u002Fa> und unsere Innovationskraft. Indem wir ein kritisches Bedürfnis im Presales-Prozess adressieren, verfolgen wir weiter unser Ziel, Ideen zu fördern und neue Geschäftsmodelle auf Basis innovativer Technologien zu erschaffen. Der Mehrwert für unser Unternehmen zeigt sich in den signifikanten Kosteneinsparungen, erhöhten Einnahmen und verbesserten Beziehungen zu unseren Kunden. 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