KI für den Service von Industrieanlagen
Ermöglichen Sie Ihrem Team, Probleme schneller zu lösen — vom Call Center bis zum Händlernetzwerk.
Allgemeine Serviceherausforderungen in der Industrieausrüstungssektor
Verstreute und isolierte Servicedaten
Alternde Belegschaft und wachsender Fachkräftemangel
Steigende Kundenerwartungen
Steigende Kosten für den Servicebetrieb
Echte Ergebnisse von Terex
„Je schneller wir den Händler unterstützen können, desto schneller können wir die Maschinen des Kunden vor Ort reparieren. Aquant ermöglicht das.“
Hauptvorteile von Aquant für den Service von Industrieanlagen
Verbessern Sie die Rate der Erstbehebungen
Reduzieren Sie die Lösungskosten
Beschleunigen Sie die Zeit bis zur Kompetenzerstellung
Erstellen Sie vertrauenswürdige Datenquellen
Wenn Ihr gesamtes Team so abschneidet wie die besten 20% der Belegschaft, können Sie Folgendes erreichen:
28%
Reduzierung der Servicekosten
4 x
Schnellere Lösungszeit
3 x
Weniger Besuche pro Asset pro Jahr
Der Benchmark-Hub für den Außendienst
Erstklassige Serviceteams erreichen eine um 39% schnellere Lösungszeit, wenn sie KI-gestützte Lösungen wie Agentic AI von Aquant verwenden.
39%
Schnellere Lösungszeit
Gebaut für jede Rolle in Bedienung
Skalieren Sie einen intelligenteren Service mit Aquant.
Aquant kombiniert Fachwissen im Servicebereich mit absoluter Flexibilität und passt sich an Ihre Mitarbeiter, Prozesse und Geräte an, um Expertenergebnisse in Ihrem gesamten Betrieb zu liefern.
Die höchsten Vertrauens- und Sicherheitsstandards
FAQ
Die agentische KI-Plattform, die für Ihr gesamtes Serviceteam entwickelt wurde
Aquant gives you step-by-step troubleshooting guidance, relevant repair history, and access to manuals and schematics, all tailored to the asset you’re working on. You ask a question, and it helps you get to the root cause of the issue, fast.
No. If your hands are full, you can just call in. Aquant offers a voice-enabled assistant that understands your service questions and responds with conversational, guided instructions to solve problems fast.
Yes. Aquant can help you ask better questions. It suggests clarifying questions based on past cases to guide you toward the root cause, even when the issue isn’t obvious.
It understands complex service questions and gives you instant access to verified answers, troubleshooting steps, and relevant case history without having to search through long documents or past tickets.
Absolutely. Aquant levels the playing field by surfacing expert knowledge and guiding less experienced agents through the same process a senior expert would take without rigid scripts.
Behind the scenes, Aquant analyzes your question for intent and selects the most relevant AI agent, like suggesting parts, identifying error codes, or pulling up similar past cases.
Yes. Aquant benchmarks your teams, regions, and individuals against internal best performers and against industry peers where relevant, helping you identify outliers and best practices.
You get:
- Technician and team scorecards
- Product and asset performance insights
- Parts usage trends
- Cost leakage analysis
- Upskilling opportunity reports
All AI outputs are auditable and explainable. You can trace any recommendation back to the source, and apply strict guardrails to ensure compliance with internal and industry standards.
Most teams see measurable improvements in KPIs like first-time fix rate, mean time to resolution, and customer satisfaction within weeks of go-live.
AI for Service Leaders is Aquant’s analytics engine that transforms your service data into clear, actionable intelligence. It highlights where you’re leaking efficiency, which teams or regions need upskilling, and which products are driving cost.
Yes. Aquant is fully configurable by product line, region, technician level, and more. It adapts to your workflows rather than forcing you into a template.
Yes. Aquant benchmarks your teams, regions, and individuals against internal best performers and against industry peers where relevant, helping you identify outliers and best practices.
You get:
- Technician and team scorecards
- Product and asset performance insights
- Parts usage trends
- Cost leakage analysis
- Upskilling opportunity reports
All AI outputs are auditable and explainable. You can trace any recommendation back to the source, and apply strict guardrails to ensure compliance with internal and industry standards.
Most teams see measurable improvements in KPIs like first-time fix rate, mean time to resolution, and customer satisfaction within weeks of go-live.
AI for Service Leaders is Aquant’s analytics engine that transforms your service data into clear, actionable intelligence. It highlights where you’re leaking efficiency, which teams or regions need upskilling, and which products are driving cost.
Yes. Aquant is fully configurable by product line, region, technician level, and more. It adapts to your workflows rather than forcing you into a template.
Aquant gives you step-by-step troubleshooting guidance, relevant repair history, and access to manuals and schematics, all tailored to the asset you’re working on. You ask a question, and it helps you get to the root cause of the issue, fast.
It understands complex service questions and gives you instant access to verified answers, troubleshooting steps, and relevant case history without having to search through long documents or past tickets.
No. If your hands are full, you can just call in. Aquant offers a voice-enabled assistant that understands your service questions and responds with conversational, guided instructions to solve problems fast.
Absolutely. Aquant levels the playing field by surfacing expert knowledge and guiding less experienced agents through the same process a senior expert would take without rigid scripts.
Behind the scenes, Aquant analyzes your question for intent and selects the most relevant AI agent, like suggesting parts, identifying error codes, or pulling up similar past cases.
Yes. Aquant can help you ask better questions. It suggests clarifying questions based on past cases to guide you toward the root cause, even when the issue isn’t obvious.