Onboarding staff for the holiday peak was a bottleneck. Now, AI handles routine chats and new agents train in a sandbox, ready for day one.
A London-based luxury retailer founded in 1707 manages a vast catalog of unique gifts and fine foods, with over 70 percent of its business occurring during a highly demanding holiday peak season.
With end-to-end handle times historically stretching beyond an hour, support agents were bogged down by routine inquiries rather than coordinating...
“I love that the AI really understands the tone and context of customer inquiries. It knows when to escalate a ticket to a live agent—that way, our agents can really focus on customers with more complex interactions.”
Luxury department store specializing in hampers, tea, and gourmet food products.
AI-powered customer service and employee experience software platform.
Fortnum & Mason's Customer support is part of this use case:
Related implementations across industries and use cases
Manually triaging each support ticket took agents 20 minutes. Now, AI routes inquiries and a copilot helps agents draft empathetic replies.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Generic queries clogged phone lines. AI now resolves 60% of app inquiries, freeing advisors to solve complex customer issues.
Manually triaging each support ticket took agents 20 minutes. Now, AI routes inquiries and a copilot helps agents draft empathetic replies.
Agents handled 200 tickets a day, copying replies from a Word doc. Now, AI answers routine questions, freeing agents for complex conversations.
300+ receipt layouts forced manual entry. GenAI now reads raw images with 98.6% accuracy, cutting costs 90%.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Onboarding staff for the holiday peak was a bottleneck. Now, AI handles routine chats and new agents train in a sandbox, ready for day one.
A London-based luxury retailer founded in 1707 manages a vast catalog of unique gifts and fine foods, with over 70 percent of its business occurring during a highly demanding holiday peak season.
With end-to-end handle times historically stretching beyond an hour, support agents were bogged down by routine inquiries rather than coordinating...
“I love that the AI really understands the tone and context of customer inquiries. It knows when to escalate a ticket to a live agent—that way, our agents can really focus on customers with more complex interactions.”
Luxury department store specializing in hampers, tea, and gourmet food products.
AI-powered customer service and employee experience software platform.
Fortnum & Mason's Customer support is part of this use case:
Related implementations across industries and use cases
Manually triaging each support ticket took agents 20 minutes. Now, AI routes inquiries and a copilot helps agents draft empathetic replies.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Generic queries clogged phone lines. AI now resolves 60% of app inquiries, freeing advisors to solve complex customer issues.
Manually triaging each support ticket took agents 20 minutes. Now, AI routes inquiries and a copilot helps agents draft empathetic replies.
Agents handled 200 tickets a day, copying replies from a Word doc. Now, AI answers routine questions, freeing agents for complex conversations.
300+ receipt layouts forced manual entry. GenAI now reads raw images with 98.6% accuracy, cutting costs 90%.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.