Confidential & Proprietary

Odore AI Workfront

Service-as-a-Software Platform for Digital Workers

Date: 25 Aug 2025

Version: 0.0.1

Executive Summary

Company Overview

Odore is a Service-as-a-Software AI platform that allow digital workers to utilize AI to entertain their customers.

Unlike traditional SaaS solutions that require heavy configuration and management, our platform provides simple-to-understand, fully-managed conversational interfaces powered by the Odore Tech Architecture.

Mission Statement

Odore is committed to provide a compelling alternative to SaaS for Digital Workers to adopt AI-powered solutions to deliver rich experiences and maintain relationships with regular customers.

Vision Statement

To transform passive digital work into an engaging, AI-enhanced destination where customers enjoy personalized, intelligent interactions that drive loyalty and repeat visits.

Key Value Proposition

Automated Service Delivery: AI agents automatically handle customer engagement, entertainment, and personalized interactions without requiring technical expertise from business owners.
Intelligent Orchestration: Multiple specialized AI models work together to create engaging customer experiences, from greeting to entertainment to loyalty programs.
Seamless Integration: Plug-and-play setup with existing POS systems, customer databases, and business workflows through simple APIs and web interfaces.
Scalable Operations: Platform scales from freelancer, home-based businesses to medium-sized firms, handling thousands of concurrent customer interactions.

Financial Highlights

Target Market Size: $180,000 MRR by 2026
Revenue Model: Tiered monthly subscription
3-Year Revenue Projection: $16.8M
Break-even Timeline: 2 years
Funding Required: $3M ($300K initial raise)

1. Market Analysis

1.1 Market Opportunity

Total Addressable Market (TAM)

Serviceable Addressable Market: ~$500M-1.2B globally
Immediate addressable market: $50-150M

Estimated Market Size: ~$4B globally by 2029
Key Market Drivers:
- Rising customer expectations for personalized experiences
- Labor shortage driving automation adoption
- Increasing comfort with AI interactions among consumers
- Growing need for customer retention in competitive markets
- Accessibility of AI technology for Digital Worker

Serviceable Addressable Market (SAM)

Target Segment: Various retail, services & hospitality businesses
Geographic Focus: Europe, Japan, Australia
Market Size: $840M
Penetration Strategy: Direct sales and channel partnerships with POS providers

Serviceable Obtainable Market (SOM)

Realistic Capture: 2% of SAM over 4 years
Market Share Goal: $16.8M by Year 4
Customer Segments:
- Product and handicraft
- Boutiques and Specialty stores
- Service businesses (various)

1.2 Target Customer Profile

Primary Customer Segments

Product and handicraft
- Company Size: 1-5 locations, 5-50 employees
- Budget Range: $200-$1,500 annually for customer engagement tools
- Decision Makers: Owner/Manager, Operations Manager
Boutiques & Specialty Stores
- Company Size: 1-3 locations, 3-25 employees
- Budget Range: $300-$2,000 annually
- Decision Makers: Store Owner, Retail Manager
Service Businesses
- Company Size: 1-2 locations, 3-20 employees
- Budget Range: $250-$1,200 annually
- Decision Makers: Practice Owner, Office Manager

Customer Journey

Awareness: Social media marketing, industry publications, referrals from existing customers
Consideration: Free trial, demo appointments, case studies review
Purchase: Simple online signup with credit card, assisted onboarding call
Onboarding: 2-week guided setup with customer success team
Expansion: Usage-based upselling, additional location rollouts, advanced features

1.3 Competitive Landscape

Direct Competitors

ChatBot Platforms (Drift, Intercom)
- Market Position: Established web-based customer engagement
- Strengths: Brand recognition, extensive integrations, enterprise features
- Weaknesses: Not designed for in-person experiences, complex setup, high pricing
- Pricing: $50-$500/month
Digital Solutions (e.g. Signagelive)
- Market Position: Static content display for businesses
- Strengths: Hardware partnerships, installation services
- Weaknesses: No AI interaction, limited personalization, requires content creation
- Pricing: $30-$200/month plus hardware

Indirect Competitors

Traditional Solutions: Static displays, printed materials, human staff
In-house Software Development: Custom chatbots, mobile apps
Adjacent Platforms: POS systems with basic loyalty features, social media management tools

Competitive Advantages

AI-First Architecture: Compound AI agents handle complex workflows automatically
Service-as-a-Software Model: Zero configuration required - AI handles setup, optimization, and maintenance
Intelligent Orchestration: Odore AI Platform's OAgent protocol enables superior coordination

2. Product & Technology

2.1 Product Overview

Core Platform Features

Interactive Customer Engagement
Description: AI-powered welcome system that recognizes returning customers, greets new visitors, and initiates personalized conversations based on context and preferences.

Customer Value: Increased customer engagement, personalized experience from first interaction
Dynamic Entertainment & Engagement
Description: Context-aware entertainment system that adapts content based on wait times, customer demographics, business type, and time of day.

Customer Value: Reduced perceived wait times, increased customer satisfaction, unique memorable experiences
Intelligent Recommendation
Description: AI system that suggests products, services, or upsells based on customer history, current context, and business inventory.

Customer Value: Increased average transaction value, better product discovery, personalized shopping experience

2.2 Technology Architecture

Odore AI Platform Integration

Compound AI Benefits: Multiple specialized LLMs handle different aspects of service delivery
Agent Orchestration: OAgent protocol manages task distribution and coordination
Scalability: Support for 128 agents handling customer workflows
Memory Network: OMemory enables context sharing across service interactions

Technical Infrastructure

Deployment Model: Cloud and Edge Server

2.3 Development Roadmap

Phase 1 (Months 1-6): MVP Development, Market, System Preparation
Phase 2 (Months 7-12): Test Launch, Feedback, Product Enhancement
Phase 3 (Months 13-24): Customer Acquisition & System Optimization
Phase 3 (Months 25-36): Scale Up, Market Expansion

3. Business Model & Revenue Model

Pricing Strategy

Tier 1 - Trial: Merchant tier for 2 weeks, 10 concurrent users
Tier 2 - Merchant: $20/month, 100 concurrent users
Tier 3 - High Growth: $50/month for greater customization
Enterprise: Customized per-customer pricing

4. Go-to-Market Strategy

4.1 Market Entry Strategy

Phase 1: Early Adopters (Months 1-12)

Target: Tech-savvy independent product owners in major metropolitan areas
Approach: Direct outreach, industry event presence, influencer partnerships
Goals: 50 paying customers, $30K MRR, product-market fit validation

Phase 2: Market Expansion (Months 13-24)

Target: Retail and service businesses across top asian cities
Approach: Scaled digital marketing, channel partnerships, inside sales team
Goals: 5000 customers, $180K MRR, multi-vertical success

Phase 3: Market Leadership (Months 25-48)

Target: National expansion across all target segments
Approach: Brand marketing, strategic partnerships, international expansion
Goals: 50000 customers, $1.8M MRR, market leadership position

4.2 Sales & Marketing Strategy

Sales Organization
Marketing Strategy
- Digital Marketing
- Partnership Marketing
- Event Marketing
Onboarding Process
Customer Success Program

5. Operations Plan

5.1 Organizational Structure

Founding Team

Chief Engineer: Han Boon Kiat

Hiring Plan

Year 2 Target Team Size: 4 employees
- Engineering: 2 hires
- Sales/Marketing: 1 hire
- Operations: 1 hire

Advisory Board

in process

5.2 Operational Infrastructure

Technology Operations

Development Methodology: Post Agile
Release Cycle: Monthly

Paying Customer Operations

Support Model: BUSINESS HOURS
Support Channels: EMAIL
SLA Commitments: 24 hour response

6. Investor Profile

Ideal Investor Characteristics

Investment Size: $10M - $100M
Sector Focus: AI SPECIFIC
Geographic Presence: Asia

7. Key Performance Indicators (KPIs)

Business Metrics

Annual Recurring Revenue (ARR): $2M by Sep 2027
Paying Customer Acquisition: 5000 by Sep 2027
Market Share: 30% by Sep 2027

Product Metrics

Daily Regular Visitor: 80000 by Sep 2027
Visitor Satisfaction Score: 8/10

Operational Metrics

Employee Headcount: 8 by Sep 2027
Customer Support Response Time: <2 hours
System Uptime: >99%

8. Risk

8.1 Market Risks

Economic Downturn Impact on SMB Spending

Impact: High
Probability: Medium
Mitigation: Focus on ROI-positive features, flexible pricing, freemium model expansion

Slow SMB Technology Adoption

Impact: Medium
Probability: Medium
Mitigation: Extensive education, simple onboarding, proven ROI demonstration

8.2 Technology Risks

AI Model Dependencies and API Changes

Impact: High
Probability: Medium
Mitigation: Multi-provider strategy, proprietary model development, fallback systems

Scalability Challenges with Customer Growth

Impact: Medium
Probability: Low
Mitigation: Cloud architecture, resources scaling, performance monitoring

8.3 Competitive Risks

Large Tech Companies Entering Market

Impact: High
Probability: Medium
Mitigation: specialization, superior customer experience, partnership strategies

POS System Providers Building Competing Features

Impact: Medium
Probability: High
Mitigation: Integration partnerships, AI-first approach, advanced AI capabilities

8.4 Operational Risks

Key Personnel Departure

Impact: High
Probability: Low
Mitigation: Competitive equity packages, succession planning, knowledge documentation

Customer Concentration in Single Vertical

Impact: Medium
Probability: Medium
Mitigation: Multi-vertical expansion, diverse customer acquisition channels