Scripted bots lacked backend access, forcing manual GPS fixes. Now, an API-connected AI instantly closes rides and diagnoses root causes.
An urban micromobility operator providing scooter rentals across 400 cities and 20 countries, managing approximately two million customer contacts per year.
A legacy scripted chatbot could only automate a third of ticket resolutions, leaving requests to human agents who took up to six hours to respond....
“When your ride is done, you want it to be done. Not in five minutes, not in thirty seconds, immediately.”
Shared electric scooter and bike micromobility platform for urban transportation.
AI customer service automation platform for messaging, voice, and email.
Dott's Customer support is part of this use case:
Related implementations across industries and use cases
A legacy bot passed 50% of chats to staff. Now, AI agents connect 62 databases to resolve 87% of inquiries autonomously.
Riders faced 40-minute waits as agents juggled four chats. AI now resolves issues in seconds, freeing humans for sensitive cases.
Every new support agent meant months of engineering handoffs. Now the people closest to customers build and ship their own.
Staff juggled 180k requests across disconnected systems. Agents built in two weeks now automate refunds, freeing experts for care.
Routine changes buried staff as requests hit 500k. Agents now handle rescheduling and internal support, leaving complex cases to humans.
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.
Scripted bots lacked backend access, forcing manual GPS fixes. Now, an API-connected AI instantly closes rides and diagnoses root causes.
An urban micromobility operator providing scooter rentals across 400 cities and 20 countries, managing approximately two million customer contacts per year.
A legacy scripted chatbot could only automate a third of ticket resolutions, leaving requests to human agents who took up to six hours to respond....
“When your ride is done, you want it to be done. Not in five minutes, not in thirty seconds, immediately.”
Shared electric scooter and bike micromobility platform for urban transportation.
AI customer service automation platform for messaging, voice, and email.
Dott's Customer support is part of this use case:
Related implementations across industries and use cases
A legacy bot passed 50% of chats to staff. Now, AI agents connect 62 databases to resolve 87% of inquiries autonomously.
Riders faced 40-minute waits as agents juggled four chats. AI now resolves issues in seconds, freeing humans for sensitive cases.
Every new support agent meant months of engineering handoffs. Now the people closest to customers build and ship their own.
Staff juggled 180k requests across disconnected systems. Agents built in two weeks now automate refunds, freeing experts for care.
Routine changes buried staff as requests hit 500k. Agents now handle rescheduling and internal support, leaving complex cases to humans.
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.