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Vision & Strategy

Document Purpose: This document serves as the foundational strategic artifact for Cazo AI. It defines why we exist, where we are going, and how we will get there. It aligns all stakeholders—engineering, product, and sales—on a unified direction.

Executive Summary

Cazo AI is building the operating system for the modern, autonomous salon. By democratizing enterprise-grade AI tools for SMBs, we enable salon owners to move from reactive "fire-fighting" to proactive, data-driven growth.

We are solving the fragmentation of booking, payment, and marketing tools by offering a unified, AI-first platform.

1. Vision (3-5 Years)

"The Autonomous Salon Operations Platform"

In 5 years, Cazo will be the standard for "Zero-Touch" salon management.

  • Autonomous Scheduling: AI handles 100% of bookings, rescheduling, and waitlists without human intervention.

  • predictive Supply Chain: Inventory re-orders itself based on usage patterns and forecasted demand.

  • Hyper-Personalized Experiences: Every guest is treated like a VIP, with preferences and history instantly available to stylists via AR/smart interfaces.

2. Mission (Next 12-24 Months)

"Democratize AI for the High Street"

Our immediate mission is to prove that advanced AI is not just for tech giants.

  • Goal: Onboard 500+ locations.

  • Focus: Deliver immediate ROI through automated "Empty Chair Rescue" and WhatsApp automation.

  • Key Result: Reduce front-desk administrative hours by 40% for our partners.

3. Problem Statement

The Challenge

Running a salon is operationally intensive and technically fragmented.

  1. Lost Revenue: 20-30% of calls are missed during busy hours; manual follow-ups are rare.

  2. Fragmented Tech: Owners toggle between a Calendar app, a Payment terminal, WhatsApp, and Excel sheets.

  3. No Data Culture: Decisions on pricing, staffing, and inventory are made on gut feeling, not data.

4. Our Solution: Cazo AI Platform

Cazo is not just a booking tool; it is an intelligence layer.

4.1 Core Principles

  • AI-Native: Intelligence is baked into every workflow, not added as a plugin.

  • Mobile-First: Designed for staff who are on their feet, not at a desk.

  • Open Ecosystem: We play nice with others (Integrations with Xero, Quickbooks, etc.).

4.2 Architecture Overview

  • Frontend: Next.js (Web) + React Native (Mobile).

  • Backend: Python FastAPI microservices.

  • Intelligence: LangChain + Vector DB for context-aware interactions.

5. Strategic Objectives

  1. Build Trust: We must prove AI is reliable. 99.9% booking accuracy is the baseline.

  2. Prove ROI: Every feature must have a direct line to Revenue Increase or Cost Saving.

  3. Scalability: The system must handle multi-location complexity from Day 1 (Tenancy, RBAC).

6. Non-Goals (Current Phase)

To maintain focus, we are explicitly NOT building:

  • 6.1 Hardware: We will not build proprietary POS hardware or Smart Mirrors. We integrate with iPad/Tablets.

  • 6.2 Global Tax Compliance: Phase 1 is focused on simpler tax regimes; complex multi-state payroll is out of scope.

  • 6.3 Consumer Marketplace: We are a B2B SaaS, not a B2C discovery marketplace (like ClassPass).

7. Go-to-Market Strategy

Phase 1: Pilot (Months 1-6)

  • Target: 10-20 Friendly "Design Partners".

  • Offer: White-glove onboarding + significant discount in exchange for feedback.

Phase 2: Early Adopters (Months 7-12)

  • Target: Single-location, tech-savvy owners.

  • Channel: Direct Sales + Instagram Marketing.

Phase 3: Scale (Months 13-24)

  • Target: Franchises and Chains.

  • Channel: Strategic Partnerships with Product Distributors (L'Oreal, Wella networks).

8. Competitive Landscape

8.1 Current Alternatives

  • Pen & Paper: The biggest competitor. Simple but unscalable.

  • Legacy SaaS (Vagaro, MindBody): Feature-rich but clunky, expensive, and non-AI.

  • Generic Tools (Google Cal): Free but lacks commerce capabilities.

8.2 Our Competitive Edge

  • Vertical AI: specialized models trained on Salon datasets (e.g., understanding "Balayage" duration vs "Trim").

  • WhatsApp Native: Meeting customers where they effectively are (critical in emerging markets).

9. Risks & Mitigation

  • Adoption Friction: Staff may resist new tech. -> Mitigation: Gamified onboarding and simple UI.

  • AI Hallucination: Bot promising wrong prices. -> Mitigation: Strict RAG guardrails and "Human Handoff" protocols.

  • Platform Dependency: Reliance on WhatsApp APIs. -> Mitigation: Diversify channels (SMS, Web Chat) as fallbacks.

10. Key Performance Indicators (KPIs)

Business KPIs

  • MRR: Monthly Recurring Revenue.
  • Churn Rate: Logo retention.

Technical KPIs

  • Uptime: 99.9%.
  • Bot Handover Rate: % of chats requiring human intervention (Target < 10%).

11. Next Steps

Immediate (Next 30 Days)

  • Finalize MVP Scope lock.

  • Deploy "Alpha" environment for internal testing.

  • Sign first 3 Design Partners.