AI case study

Fisher & PaykelCustomer self-service

Chatbots pointed customers at articles, not answers. Agentforce searches 50K+ manuals and walks each customer through the fix.

Published

Key results

Faster Case Resolution
2–3x
Self-Service Resolution Rate
~80%
Fewer SEV 1 Incidents
80%

Result highlights

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Where AI sits in the process

Where AI sits in this process. Unlock to see each step. AI PEOPLE Enarotis Enar Enarot Enarotis Ena
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The story

Context

A premium home appliance manufacturer operating across six global markets, with a product support base spanning 50,000+ service manuals and 100 million customer records.

Challenge

About 60% of support calls focused on routine troubleshooting that customers could potentially resolve themselves. Legacy chatbots could surface...

Solution
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Scope & timeline

  • Production AI agent live in under 3 months
  • Agentforce deployed across 6 global markets

Quotes

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The company

Fisher & Paykel logo

Fisher & Paykel

fisherpaykel.com

Premium home and kitchen appliance designer and manufacturer.

IndustryConsumer Products
LocationAuckland, New Zealand
Employees1K-5K
Founded1934

The vendor

AI-powered CRM platform for sales, service, marketing, and commerce teams.

IndustrySoftware & Platforms
LocationSan Francisco, CA, USA
Employees50K-100K
Founded1999

Use case

Fisher & Paykel's Customer self-service is part of this use case:

Customer Support Assistant
234 case studies(-2% YoY)
Proven impact?
Average
3.4Typical
3.4Typicalwithin Consumer Products
3.4Typicalwithin Customer Service

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