Manual reviews covered just 100 calls a month. AI now scores every interaction daily, spotting training gaps and automating summaries.
A $3.8 billion global manufacturer supplying more than 50% of the content for RVs, plus components for marine and automotive brands across 140 facilities worldwide.
With call volumes exceeding one million annually, new agents required six months to ramp up on the complex product catalog. Quality assurance relied...
“New features in Databricks roll out fast, unlike competitors who promise in one year and deliver in five. Just when we hit a roadblock, a new capability lands and moves us forward. It’s innovation that keeps pace with our business.”
Manufacturer of engineered components for RV, marine, and automotive industries.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Lippert'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.
Every new support agent meant months of engineering handoffs. Now the people closest to customers build and ship their own.
Riders faced 40-minute waits as agents juggled four chats. AI now resolves issues in seconds, freeing humans for sensitive 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.
A new SUV launch generated massive lead surges. AI voice agents handled initial outbound calls, routing high-intent leads to human dealers.
Thousands of software modules slowed vehicle development. Now, engineers collaborate with 64 AI agents to write and debug code.
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.
Manual reviews covered just 100 calls a month. AI now scores every interaction daily, spotting training gaps and automating summaries.
A $3.8 billion global manufacturer supplying more than 50% of the content for RVs, plus components for marine and automotive brands across 140 facilities worldwide.
With call volumes exceeding one million annually, new agents required six months to ramp up on the complex product catalog. Quality assurance relied...
“New features in Databricks roll out fast, unlike competitors who promise in one year and deliver in five. Just when we hit a roadblock, a new capability lands and moves us forward. It’s innovation that keeps pace with our business.”
Manufacturer of engineered components for RV, marine, and automotive industries.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Lippert'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.
Every new support agent meant months of engineering handoffs. Now the people closest to customers build and ship their own.
Riders faced 40-minute waits as agents juggled four chats. AI now resolves issues in seconds, freeing humans for sensitive 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.
A new SUV launch generated massive lead surges. AI voice agents handled initial outbound calls, routing high-intent leads to human dealers.
Thousands of software modules slowed vehicle development. Now, engineers collaborate with 64 AI agents to write and debug code.
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.