Fisher & Paykel
Rep assistance
Reps put customers on hold to search 100GB of manuals and fragmented records. Arthur surfaces the right answer mid-call — no hold.
- 75% positive feedback from contact center reps
Chatbots pointed customers at articles, not answers. Agentforce searches 50K+ manuals and walks each customer through the fix.
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.
About 60% of support calls focused on routine troubleshooting that customers could potentially resolve themselves. Legacy chatbots could surface...
“If we can resolve an issue immediately through Agentforce – without the customer having to take time off work or wait for a technician to visit – that's a premium experience.”
Premium home and kitchen appliance designer and manufacturer.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
Fisher & Paykel's Customer self-service is part of this use case:
Related implementations across industries and use cases
Reps put customers on hold to search 100GB of manuals and fragmented records. Arthur surfaces the right answer mid-call — no hold.
39 categories left shoppers guessing; support swamped with routine calls. Agentforce now covers the catalog, the cart, and what comes after.
Rigid IVRs failed to naturally resolve surging warranty and order calls. Now, an AI voice agent handles live post-sales conversations.
Untagged, long articles confused the agent. AI summarized data to fix retrieval, matching the NPS of human teams.
Millions of questions across 2,000+ brands. Building a separate AI for each wasn't viable. One agent now handles all—and hands off cleanly.
39 categories left shoppers guessing; support swamped with routine calls. Agentforce now covers the catalog, the cart, and what comes after.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
One customer, multiple policies, 60+ systems—consistency was out of reach. AI now keeps context intact across voice, WhatsApp, and chat.
Chatbots pointed customers at articles, not answers. Agentforce searches 50K+ manuals and walks each customer through the fix.
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.
About 60% of support calls focused on routine troubleshooting that customers could potentially resolve themselves. Legacy chatbots could surface...
“If we can resolve an issue immediately through Agentforce – without the customer having to take time off work or wait for a technician to visit – that's a premium experience.”
Premium home and kitchen appliance designer and manufacturer.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
Fisher & Paykel's Customer self-service is part of this use case:
Related implementations across industries and use cases
Reps put customers on hold to search 100GB of manuals and fragmented records. Arthur surfaces the right answer mid-call — no hold.
39 categories left shoppers guessing; support swamped with routine calls. Agentforce now covers the catalog, the cart, and what comes after.
Rigid IVRs failed to naturally resolve surging warranty and order calls. Now, an AI voice agent handles live post-sales conversations.
Untagged, long articles confused the agent. AI summarized data to fix retrieval, matching the NPS of human teams.
Millions of questions across 2,000+ brands. Building a separate AI for each wasn't viable. One agent now handles all—and hands off cleanly.
39 categories left shoppers guessing; support swamped with routine calls. Agentforce now covers the catalog, the cart, and what comes after.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
One customer, multiple policies, 60+ systems—consistency was out of reach. AI now keeps context intact across voice, WhatsApp, and chat.