Call surges left EV drivers stranded on hold. Now, an AI agent instantly handles routine calls, freeing humans for complex edge cases.
One of North America's largest EV charging networks, with tens of thousands of charging ports and hundreds of thousands of active drivers across the United States and Canada.
Support costs were rising 300 to 400 percent annually as the network scaled, driven by unpredictable call volume spikes during infrastructure...
“The cost of our customer support team was increasing 300 to 400 percent a year. By introducing Retell and building Lucas, we were able to reduce that burden by over 50 percent, drastically improve our SaaS margins, and still support our customers during high-growth and urgent situations.”
EV charging management platform for multifamily and commercial properties.
Platform for building and deploying conversational AI voice agents for phone calls.
SWTCH's Voice support is part of this use case:
Related implementations across industries and use cases
Basic device pricing queries crowded out urgent kiosk issues. Now, a voice AI answers routine calls, freeing human reps for complex work.
Saturated queues kept customers waiting. AI now handles the overflow, resolving 40% of calls and freeing staff for complex cases.
Rigid IVRs failed to naturally resolve surging warranty and order calls. Now, an AI voice agent handles live post-sales conversations.
Saturated queues kept customers waiting. AI now handles the overflow, resolving 40% of calls and freeing staff for complex cases.
Hiring couldn't keep up with visa demand. Voice AI now scans 20-page applications instantly to resolve cases.
Thousands of software modules slowed vehicle development. Now, engineers collaborate with 64 AI agents to write and debug code.
Rebuilding apps for iOS took a month. AI now generates code directly from Android logic, cutting the adaptation cycle to a week.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Call surges left EV drivers stranded on hold. Now, an AI agent instantly handles routine calls, freeing humans for complex edge cases.
One of North America's largest EV charging networks, with tens of thousands of charging ports and hundreds of thousands of active drivers across the United States and Canada.
Support costs were rising 300 to 400 percent annually as the network scaled, driven by unpredictable call volume spikes during infrastructure...
“The cost of our customer support team was increasing 300 to 400 percent a year. By introducing Retell and building Lucas, we were able to reduce that burden by over 50 percent, drastically improve our SaaS margins, and still support our customers during high-growth and urgent situations.”
EV charging management platform for multifamily and commercial properties.
Platform for building and deploying conversational AI voice agents for phone calls.
SWTCH's Voice support is part of this use case:
Related implementations across industries and use cases
Basic device pricing queries crowded out urgent kiosk issues. Now, a voice AI answers routine calls, freeing human reps for complex work.
Saturated queues kept customers waiting. AI now handles the overflow, resolving 40% of calls and freeing staff for complex cases.
Rigid IVRs failed to naturally resolve surging warranty and order calls. Now, an AI voice agent handles live post-sales conversations.
Saturated queues kept customers waiting. AI now handles the overflow, resolving 40% of calls and freeing staff for complex cases.
Hiring couldn't keep up with visa demand. Voice AI now scans 20-page applications instantly to resolve cases.
Thousands of software modules slowed vehicle development. Now, engineers collaborate with 64 AI agents to write and debug code.
Rebuilding apps for iOS took a month. AI now generates code directly from Android logic, cutting the adaptation cycle to a week.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.