AI Powered
POS System
Intelligent restaurant management system designed for Southeast Asian market, eliminating language barriers between staff and international guests
10 Critical Challenges We Solve
Based on TripAdvisor review analysis, industry reports, and benchmarks from leading POS vendors
Language Barrier
Staff and international guests communicate in broken English, leading to order errors, dish returns, and conflicts. Impossible to explain ingredients, spiciness or allergens
AI-powered multilingual menu with translation into 20+ languages, voice assistant for real-time communication, and instant ingredient explanations
Outdated Paper Menus at Entrance
Potential guests passing by do not understand the menu. Paper stands look outdated, translations are often incorrect, and prices cannot be updated quickly
Digital menu display at entrance with beautiful photos, auto-translation by visitor language, real-time price and availability updates
Inefficient Paper Orders
Waiters write orders on paper, then manually enter into terminal. Double entry = double chance of error. Peak hours become chaotic
Direct order entry via tablet with built-in translation, voice-to-text comments, and instant kitchen transmission
No Digital Kitchen
Kitchen works with paper tickets that get lost, wet, and torn. No visibility into order queue. Asynchronous cooking leads to timing issues
Kitchen Display System (KDS) with digital queue, timers, color-coded priorities, and synchronized dish preparation
Poor Dish Timing & Sequence
Hot dishes arrive before soup. Side dishes before main course. Guests perceive poor service quality even when food is excellent
AI algorithms calculate optimal start time for each dish. Automatic synchronization ensures all items arrive together
Allergy & Diet Risks
Guests fear ordering unsuitable dishes (peanuts, gluten, seafood). Waiters often do not know exact ingredients. Risk of serious allergic reactions
Detailed allergen labeling, filters for spicy/vegan/gluten-free/halal, automatic hiding of unsuitable dishes, AI conflict warnings
Missed Upsell Opportunities
Guests from different countries have different taste preferences. Staff cannot always suggest the right dishes. Lost revenue on add-ons
AI recommendations by country/culture, auto-suggestions for pairings, personalized upsell for drinks, desserts, and extras
No Feedback Collection
Guests do not want to write reviews manually. Hard to write in a foreign language. Restaurant loses understanding of service quality. Negative feedback goes public
Automatic post-payment survey in guest language, 1-minute quick questions, AI sentiment analysis, real-time alerts on negative reviews
No Inventory Control
No accurate ingredient tracking. Unknown real food cost per dish. Write-offs and losses not controlled. Food cost spirals out of control
Automatic deduction by tech cards on sale, real-time cost calculation, low stock alerts, ABC analysis and margin control
Fragmented Systems
Kitchen, waiters, menu, payments, analytics in different systems. Partially on paper, partially in various apps. Impossible to get unified business view
Unified POS system with all modules: menu, orders, KDS, payments, analytics, AI - single source of truth
Total Value for Restaurant
Southeast Asia POS Market
$4.96 billion market in 2025 growing to $10.31 billion by 2030 with 15.7% CAGR
Thailand
Malaysia
Indonesia
Vietnam
SEA Market Distribution (2025)
TAM Growth Projection
Digitalization Trends
Cloud POS penetration forecast in SEA restaurant sector
Source: Mordor Intelligence, Statista, 2024
TAM / SAM / SOM
Cloud Adoption
45% of market moving to cloud-based solutions
Mobile Payments
PromptPay, DuitNow, GrabPay growing 30%+ YoY
Tourism Recovery
30-35M tourists/year in Thailand alone
SME Dominance
70%+ of restaurants are independent venues
Financial Model & Investment
Ultra-lean SaaS model with Russian dev team. Break-even at M12, $1.08M ARR by Year 2
Investment Roadmap
Pre-seed
MVP + Phuket pilot (55 clients)
M1-M6Seed
Scale Thailand (385 clients)
M7-M12Growth
Self-funded from revenue (2,570+ clients)
M13-M243-Year Revenue Projection
Unit Economics
Go-to-Market Strategy
Thailand Pilot
Bangkok & Phuket, 55 customers, product-market fit
Thailand Scale
All tourist zones, 315 customers
Growth + Malaysia
1,200 customers, Malaysia pilot
Regional Scale
TH + MY, 3,000+ customers
Pricing Plans
Monetization model: SaaS subscription with monthly billing. Average ARPU of $35/month enables break-even at ~385 customers (M12).
Starter
Small cafes, 1 terminal
- POS & Basic Menu
- Reports & Analytics
- Single Location
- Email Support
Professional
Restaurants, 2-3 terminals
- KDS Integration
- Inventory Module
- AI Menu Translation
- Priority Support
Business
Chains, 5+ terminals
- Multi-Location
- Full AI Suite
- API Access
- Dedicated Manager
Enterprise
Large chains
- Custom SLA
- White-Label Option
- On-premise Deploy
- 24/7 Support
Detailed P&L Model
24-month financial projection based on Russian dev team ($1.8K/mo avg) and lean operations
Monthly P&L (24 months)
Break-even at M12, positive cash flow from M12+
Cumulative Cash Flow
Max investment need: ~$35K by M10, ROI positive at M15
Investment Breakdown (First 12 months - until break-even)
| Feature | Phase 1 (Pre-seed) | Phase 2 (Seed) | Total | Notes |
|---|---|---|---|---|
| Team (2-7 devs) | $27K | $50.4K | $77.4K | Avg $1.8K/mo per dev |
| Infrastructure (Cloud, API) | $1.8K | $3.96K | $5.76K | VDS/DS, OpenAI, services |
| Marketing & Sales | $6K | $13.2K | $19.2K | $500→$5000, linear growth |
| Other (travel, tools) | $0.9K | $1.8K | $2.7K | $100-350/mo misc |
| Revenue offset | -$4.2K | -$45.8K | -$50K | MRR covers expenses |
| NET INVESTMENT | $31.5K | $23.6K | $55K | After MRR offset |
Monthly Financial Model (Year 1)
Detailed breakdown of expenses, revenue and clients
| Month | Team | Salary | Infra | Marketing | Other | Expenses | Clients | MRR | Cash Flow |
|---|---|---|---|---|---|---|---|---|---|
| M1 | 2 | $3,600 | $150 | $500 | $100 | $4,350 | 0 | $0 | $-4,350 |
| M2 | 2 | $3,600 | $210 | $700 | $100 | $4,610 | 0 | $0 | $-4,610 |
| M3 | 2 | $3,600 | $270 | $900 | $150 | $4,920 | 10 | $350 | $-4,570 |
| M4 | 3 | $5,400 | $330 | $1,100 | $150 | $6,980 | 20 | $700 | $-6,280 |
| M5 | 3 | $5,400 | $390 | $1,300 | $200 | $7,290 | 35 | $1,225 | $-6,065 |
| M6 | 3 | $5,400 | $450 | $1,500 | $200 | $7,550 | 55 | $1,925 | $-5,625 |
| M7 | 4 | $7,200 | $510 | $1,700 | $250 | $9,660 | 85 | $2,975 | $-6,685 |
| M8 | 4 | $7,200 | $570 | $1,900 | $250 | $9,920 | 125 | $4,375 | $-5,545 |
| M9 | 5 | $9,000 | $630 | $2,100 | $300 | $12,030 | 175 | $6,125 | $-5,905 |
| M10 | 5 | $9,000 | $690 | $2,300 | $300 | $12,290 | 235 | $8,225 | $-4,065 |
| M11 | 5 | $9,000 | $750 | $2,500 | $350 | $12,600 | 305 | $10,675 | $-1,925 |
| M12 | 5 | $9,000 | $810 | $2,700 | $350 | $12,860 | 385 | $13,475 | $615 |
| Year 1 Total | - | $77.4K | $5.76K | $19.2K | $2.7K | $105K | 385 | $50K | -$55K |
Key Assumptions
Monthly Financial Model (Year 2)
Growth phase - self-funded from revenue
| Month | Team | Salary | Infra | Marketing | Other | Expenses | Clients | MRR | Cash Flow |
|---|---|---|---|---|---|---|---|---|---|
| M13 | 5 | $9,000 | $870 | $2,900 | $400 | $13,170 | 470 | $16,450 | +$3,280 |
| M14 | 5 | $9,000 | $930 | $3,100 | $400 | $13,430 | 570 | $19,950 | +$6,520 |
| M15 | 5 | $9,000 | $990 | $3,300 | $400 | $13,690 | 685 | $23,975 | +$10,285 |
| M16 | 5 | $9,000 | $1,050 | $3,500 | $450 | $14,000 | 815 | $28,525 | +$14,525 |
| M17 | 5 | $9,000 | $1,110 | $3,700 | $450 | $14,260 | 960 | $33,600 | +$19,340 |
| M18 | 5 | $9,000 | $1,170 | $3,900 | $450 | $14,520 | 1,115 | $39,025 | +$24,505 |
| M19 | 7 | $12,600 | $1,230 | $4,100 | $500 | $18,430 | 1,290 | $45,150 | +$26,720 |
| M20 | 7 | $12,600 | $1,290 | $4,300 | $500 | $18,690 | 1,490 | $52,150 | +$33,460 |
| M21 | 7 | $12,600 | $1,350 | $4,500 | $500 | $18,950 | 1,715 | $60,025 | +$41,075 |
| M22 | 7 | $12,600 | $1,410 | $4,700 | $500 | $19,210 | 1,970 | $68,950 | +$49,740 |
| M23 | 7 | $12,600 | $1,470 | $4,900 | $500 | $19,470 | 2,260 | $79,100 | +$59,630 |
| M24 | 7 | $12,600 | $1,500 | $5,000 | $500 | $19,600 | 2,570 | $89,950 | +$70,350 |
| Year 2 Total | - | $129.6K | $14.4K | $46.9K | $5.5K | $197K | 2,570 | $557K | +$359K |
Investment Summary
Complete POS Ecosystem
Eight integrated modules working together to digitize every aspect of restaurant operations
AI Module
Intelligent features that set us apart from competition
- Menu translation (20+ languages)
- Culinary terminology accuracy
- Voice assistant for waiters
- Personalized dish recommendations
- Sentiment analysis of reviews
All modules are fully integrated and share a single database, providing real-time synchronization across all operations
Enterprise-Grade Infrastructure
Cloud-native, offline-first architecture designed for reliability and scale
System Architecture
Frontend
- Nuxt 4SSR Framework
- Vue 3UI Library
- Nuxt UIComponent Library
- Tailwind CSSStyling
Backend
- NitroServer Engine
- PrismaORM
- PostgreSQLPrimary Database
- RedisCache & Sessions
AI & Services
- OpenAI APITranslation & Recommendations
- WebSocketReal-time Updates
- BullMQBackground Jobs
- MeiliSearchFull-text Search
Infrastructure
- VDS / DS SingaporeHosting
- CloudflareCDN & Edge
- S3 / R2Media Storage
- ClickHouseAnalytics DB
Offline-First Design
Critical operations continue working even without internet connection, with automatic sync when connectivity is restored.
Real-Time Communication
WebSocket-based architecture ensures instant updates across all connected devices.
Security & Compliance
Encryption
AES-256 at rest, TLS 1.3 in transit
Authentication
JWT + refresh tokens, RBAC
Compliance
PCI DSS via gateway, PDPA ready
Audit
Full action logging, change history
Performance Targets
Scaling Strategy
Competitor Comparison
Our key advantages over existing POS solutions in the Southeast Asian market
Key Differentiators
| Feature | Our POS | Others |
|---|---|---|
| AI Menu Translation | 20+ languages | 3-5 languages |
| Voice Assistant | ||
| Digital Menu Display | ||
| AI Recommendations | Full | Basic/None |
| Culinary Terminology | ||
| Offline Mode | Full | Partial |
| Price Range | $19-69 | $0-165 |
Detailed Competitor Comparison
Full feature matrix across major POS solutions in Southeast Asia
| Feature | Our POSAI-First$19-69 | FoodStoryLocal (TH)$17-57 | StoreHubLocal (MY)$21-85 | LoyverseGlobal$0-59 | ToastGlobal$0-165 |
|---|---|---|---|---|---|
| AI Translation (languages) | 20+ | 3 | 5 | 5 | 8 |
| AI Recommendations | Full | - | Basic | - | Basic |
| Voice Assistant | |||||
| AI Review Processing | Full | Basic | |||
| Digital Menu Display | Add-on | Add-on | |||
| QR Self-Ordering | Basic | ||||
| Waiter App | |||||
| Owner/Manager App | Basic | Basic | |||
| Kitchen Display (KDS) | Full | Basic | Full | Add-on | Full |
| Offline Mode | Full | Partial | Full | Full | Full |
| Inventory Management | Full | Basic | Full | Basic | Full |
| Reports & Analytics | Full | Basic | Full | Basic | Full |
| Delivery Integration | GrabFood, FoodPanda, LINE MAN | All major | All major | - | US only |
| Local Payments (SEA) | PromptPay, TrueMoney, DuitNow | Yes | Yes | Partial | - |
| Loyalty Program | Full | Basic | Full | Add-on | Full |
| Multi-Location | Limited | Add-on | |||
| BYOD (Own Devices) | Partial | Partial | |||
| Auto Software Updates | Paid | ||||
| API Access | Full REST API | Limited | Yes | Limited | Yes |
Our Competitive Positioning
Advanced AI features at mid-market pricing. We are the only POS in Southeast Asia with full AI translation, voice assistant, and smart recommendations — targeting restaurants in tourist zones where language barrier is a critical pain point.
Competitive Moat
Why it's hard for competitors to replicate our solution
Specialized AI Models
Trained on culinary terminology in 20+ SEA languages. Requires 12-18 months and significant investment to replicate.
Unique Database
Structured dictionary of dishes, ingredients, and allergens with regional specifics for each cuisine.
Local Integrations
Deep integration with payment systems and delivery aggregators in each country — PromptPay, GrabFood, LINE MAN.
Network Effect
More restaurants mean better AI recommendations. Guest preference data improves personalization.
Comparable Transactions
Valuations and multiples of similar POS companies
| Company | Region | Year | Deal | Valuation | Multiple |
|---|---|---|---|---|---|
| Toast | USA | 2021 | IPO | $20B | 25x Revenue |
| Lightspeed | Global | 2021 | Peak valuation | $15B | 30x Revenue |
| StoreHub | SEA | 2022 | Series B | $200M | 15x ARR |
| Foodics | MENA | 2022 | Series C | $170M | 12x ARR |
| EasyEat | SEA | 2023 | Series A | $15M | 10x ARR |
With conservative 8-10x ARR multiple and target ARR of $1.1M by Year 2, potential valuation: $8-11M
Data: SEC filings, Crunchbase, TechCrunch, Tech in Asia. Multiples estimated at time of deal.
Ready to Discuss Opportunities?
We are looking for strategic partners and investors to scale across Southeast Asia. Contact me directly to discuss the details.