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Bruviti
Impact story

How AI agent triage enabled a leading appliance manufacturer to increase revenue per service call by 63%

Challenge

Our client, a multinational home appliance manufacturer, delivers over 60 million innovative and high-quality products to customers in more than 150 countries annually. It is consistently ranked the world’s second largest appliance maker by units sold.

How agentic triage enabled a leading appliance manufacturer to increase revenue per service call by 63%

The company had a robust network of service agents yet it faced pressing issues: high service response times and poor first-time fix rates.

Their reliance on manual processes led to delays in gathering relevant service information, leading to prolonged call durations and frustrated customers seeking swift resolutions. Moreover, the service data was fragmented across multiple applications, hindering agents’ ability to troubleshoot effectively.

The business impact

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    Extended call durations: Prolonged interactions due to manual processes reduced overall efficiency.
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    Low first call resolution: Difficulty accessing relevant information led to multiple service calls.
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    Increased operational costs: Frequent scheduling of unnecessary service calls drove up expenses.
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    Decreased customer satisfaction: Frustrated customers resulted in lower satisfaction scores and potential loss of loyalty.

Solution implemented: Bruviti Service Diagnostics and Triage

To best address these challenges the company implemented Bruviti’s AI-powered Triage agent for their call center agents to deliver:

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    Knowledge base integration: It integrated with a comprehensive knowledge base, giving agents instant access to up-to-date troubleshooting guides, user manuals and product details, ensuring they had the right information at their fingertips.
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    Data processing and insight generation: Service Diagnostics and Triage processes service records, call transcripts and warranty claim data to uncover patterns in equipment issues and historical causes, generating deep insights that guide users toward effective solutions.
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    Natural language processing (NLP): Bruviti Service Diagnostics and Triage used NLP to accurately understand and interpret customer queries, allowing personalized and context-aware conversations and improving the overall interaction quality.
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    Automated troubleshooting: By automating troubleshooting and providing real-time guidance, Service Diagnostics and Triage enabled agents to focus on more complex inquiries, ultimately enhancing their efficiency and allowing for more personalized customer service.

Results with Bruviti Service Diagnostics and Triage

63%Increase in revenue per service call

Conclusion

With accurate information at their fingertips, contact-center agents delivered efficient service interventions, enhancing customer satisfaction and positioning the manufacturer for continued growth in a competitive market. With Bruviti’s Service Diagnostics and Triage, the home appliance manufacturer transformed its service operations, boosting first call resolution and reducing service response times.

Frequently asked questions

How does AI-powered triage improve call center revenue per service call?

AI triage analyzes customer issues in real time, recommending upsell opportunities and optimal service plans during the call. By consolidating fragmented service data into a single interface, agents resolve issues faster and identify revenue-generating actions, often increasing revenue per call by 50 percent or more.

What impact does automated service diagnostics have on first-call resolution rates?

Automated diagnostics use machine learning to match symptoms with known solutions instantly, eliminating manual research delays. This enables agents to resolve issues on the first interaction rather than scheduling follow-up calls, typically improving first-call resolution rates by 15 to 25 percentage points.

How can AI reduce average call duration in appliance customer service?

AI-driven triage consolidates product history, troubleshooting guides and parts information into real-time recommendations for agents. By eliminating manual lookups across multiple systems, call durations decrease significantly while customer satisfaction improves through faster, more accurate resolutions.