One System to Run
Your Entire Chain
Celoria is the AI-native operations platform built for multi-location service businesses. Scheduling, payments, marketing, staff, and analytics — unified across every device.
Platform at a Glance
Market Gap
The Middle Is Missing
Basic tools can't scale past 5 locations. Enterprise platforms cost too much and overwhelm staff. Multi-location service chains are stuck in the gap.
Basic Tools
Square, Vagaro, MaSe
- No AI capabilities
- No multi-location management
- Outgrown by 5+ stores
- Limited reporting & analytics
AI-Native. Built for Chains.
Purpose-built for multi-location service businesses with AI woven into every workflow.
- AI-native from day one
- Multi-location by design
- Affordable for growing chains
- Staff-friendly, not enterprise-complex
- Full-stack: scheduling to payroll
- 4 device platforms unified
Enterprise
Zenoti
- $200+/mo per location
- Too complex for frontline staff
- AI bolted on, not native
- Heavy implementation overhead
“We partnered with NYC's largest nail chain — 50 locations. We found that the vast majority of daily operations follow patterns an AI agent can handle.”
— Insight from 18 years of multi-location operations
Solution
One System for the Entire Operation
Six core modules cover every aspect of running a multi-location service business, powered by an AI layer that gets smarter with every interaction.
Scheduling
Visual appointment board, drag-and-drop rescheduling, conflict prevention, and multi-store calendar sync.
Payments
POS terminal integration, split payments, tip management, gift cards, and daily cash reconciliation.
Analytics
Multi-dimensional reports, revenue trends, store comparisons, employee performance, and data-driven insights.
Marketing
Email & SMS campaigns, A/B testing platform, automated workflows, guest tagging, and loyalty programs.
Staff Management
Role-based scheduling, time clock, tip distribution, payroll & commission, and performance tracking.
Inventory
Service catalog management, add-on configurations, product tracking, and multi-store inventory sync.
AI Layer
BuildingSmart Reconciliation
Detects cash discrepancies automatically
Upsell Recommendations
Suggests add-on services at checkout
Intelligent Coupons
Personalized offers for empty time slots
Automated Scheduling
Optimal staff allocation by demand
Traction
Built with Real Operators, Not Assumptions
Developed in partnership with a 50-location nail chain. Every feature is validated by operators who run stores 7 days a week.
Product
Four Devices. One System.
Production-ready across every touchpoint — from the front desk to the back office.
Web Dashboard
Admin & employee portal
iPad Kiosk
Guest self-service check-in
POS Terminal
Card payments & tips
Mobile Apps
Employee & guest apps
Appointment Board
Visual scheduling with drag-and-drop at a glance
- Board view for instant workload balance
- Conflict-aware slot management
- Fast rebook and reschedule flow
AI Vision
From System of Record to System of Decision
LLMs crossed the capability threshold in 2025. For the first time, domain-specific AI agents can reason about complex business operations at a cost that works for service chains.
System of Record
Full-stack operations tool managing scheduling, payments, staff, and analytics across all locations.
- Multi-location management
- Real-time dashboards
- Automated workflows
AI-Assisted
AI agents augment human decisions — flagging anomalies, suggesting actions, and automating routine tasks.
- Smart reconciliation
- Upsell recommendations
- Intelligent coupons
Autonomous Agent
AI handles routine operations end-to-end. Owners focus on strategy, growth, and customer relationships.
- Self-scheduling optimization
- Predictive demand planning
- Autonomous marketing
Compounding Defensibility
Workflow Lock-In
Staff use the system 6+ hours daily — switching costs increase with every location onboarded.
Proprietary Training Signal
Every operational correction becomes training data, creating an AI advantage competitors can't replicate.
Compounding Loop
More usage generates better AI, which drives more trust, which drives more usage.
Team
Builder Meets Operator
A builder who shipped AI at Meituan-scale, paired with an operator who ran 50 stores for 18 years. We don't study this industry — we're in it.
Xuchen He
CEO / CTO
MS Design (NYU) + MS Computer Science (Georgia Tech). Ex-Meituan (services AI at scale), Ex-Yonyou (enterprise systems). Solo-built the entire platform.
Joey Fei
Co-Founder / COO
Founder of QQ Nails, NYC's largest nail chain. 18 years running 50 locations. The operational brain behind every feature decision.
Linzhi
Marketing / CS
Customer success and marketing operations. Bridging the product to real salon teams and ensuring successful onboarding.
Contact
Contact Us
Want to learn more about Celoria AI? Our team is ready to answer your questions and arrange a product demo.
Address
71 University Place
New York, NY 10003
Company
Celoria Corp
contact@celoria.ai