Carmen
Carmen is an AI-powered franchise operations assistant that helps multi-location fitness brands identify underperforming locations, diagnose root causes, and execute automated marketing and customer-service plays. The platform combines an always-on AI concierge that handles bookings and member questions with a playbook engine that runs promotions and lead-reactivation campaigns while measuring performance lift. It also conducts automated member feedback conversations and compares locations against look-alike markets to surface proven strategies.
- AI Agents
- Wellness & Fitness Technology
- Artificial Intelligence
- Data & Analytics
- Marketing Technology
- Software Only
- Financial Technology
Funding
Founders
Founder details are not available yet.
Product
Problem
Fitness franchise operators often lack the time and visibility to identify which locations are underperforming and why. With limited staff resources, they struggle to spot operational gaps, gather member feedback, and implement targeted improvements across multiple locations, leading to revenue leakage and inconsistent performance across the network.
Solution
Carmen is an AI franchise operations assistant that helps fitness franchisors monitor, analyze, and improve location performance across their network. The platform automatically flags locations that are underperforming, identifies the root causes of issues, and provides actionable insights by comparing locations against look-alike markets. Carmen also conducts automated one-on-one chats with members to collect feedback, then executes marketing playbooks—such as promotions or ClassPass campaigns—while automatically tracking the lift from each initiative. Additionally, Carmen acts as an always-on concierge at every location, handling real customer questions, bookings, and cancellations while escalating to human staff when judgment is needed. This end-to-end approach moves franchisors from passive reporting to active, data-driven operations management.
Target Audience
Fitness franchise operators and franchisors who need to monitor multi-location performance, maintain consistent customer service across units, and implement data-driven improvements across their network.
Features
- Automated outlier detection that flags underperforming locations and diagnoses the underlying causes, not just low KPIs
- AI-powered member conversations that gather feedback and make clients feel heard while delivering structured insights to operators
- Cross-network learning that compares locations to look-alike markets to surface proven strategies from high-performing areas
- Always-on AI concierge that handles booking, moving, or canceling classes and answers customer questions in the brand's voice
- Playbook execution engine that deploys promotions, lead engagement, stale lead reactivation, and ClassPass campaigns while automatically measuring performance lift
- Intuitive, AI-driven interface designed for non-technical users, making advanced analytics accessible to all franchise operators
- Seamless escalation to managers or instructors when human judgment is required