Perry Ellis · Yotpo
1.4% — conversion rate
Independently reportedRetail & e-commerce · Customer support · NLP · Scaled
Customer support
Enumerate · Maven AGI
Vendor-reportedTechnology & softwareUnited StatesIn productionMid-marketLLM
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by mavenagi.com (vendor self-report). Checked against the source page on 2026-09-05. 4 of 4 figures below appear on that page word for word.
The problem
Managing high volume customer support tickets (3,000/month) with manual research, leading to time drain and reduced relationship-building.
What was deployed
- Vendor
- Maven AGI
- Products
- Agent Maven™, AI Copilot
- Technique
- LLM
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
- Data used
- help desk, knowledge documentation
- Scale
- 3,000 support tickets per month
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
80%tickets resolved by Agent Mavenalmost always under three minutes
“80% of tickets resolved by Agent Maven™, almost always under three minutes”
Quoted word for word from the source
10x moresupport tickets solvedfrom prior AI agent
“10x more support tickets solved vs. prior AI agent”
Quoted word for word from the source
91%Resolution Rate
“91% Resolution Rate”
Quoted word for word from the source
+40NPS
“NPS of +40”
Quoted word for word from the source
“In a world oversaturated with AI support solutions, Maven is second to none. They make it easy to work faster and more efficiently while living out our customer-first values.”
Difficulties and limits
- Manually pulling customer context from the help desk and referencing multiple articles ate into support specialists' bandwidth for relationship-building
- Rapid company growth required customer experience teams to scale fast while keeping the team lean
Sources
- mavenagi.com — vendor self-report, 2025-07-29
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