AI-powered B2B SaaS integrating
Logistics (DVRP) and POP (MES + ERP + WMS) data
around the International Trade Platform (REINDEERS)
Local Operations (2015) → Incorporation (2022) → AI Transition (2023) → Global Expansion (2025~)
An AI-powered B2B SaaS platform company built on 11 years of trade & logistics operational experience in Southeast Asia.
CORPORATE BRANCH
Holding & subsidiary structure across 4 countries with planned expansion
20+ years in Thailand · 9 years corporate subsidiary management · 11 years B2B supply chain — Proven field expert
NHN affiliate talent — Avg. 15+ years in commerce, logistics & AI
The Asian B2B industrial materials market REINDEERS targets is a massive, largely undigitized opportunity.
| Country | Registered Mfrs. | Mfg/GDP | Key Industries |
|---|---|---|---|
| Thailand | 79,000+ | 26% | Automotive, Electronics, Food |
| Malaysia | 50,000+ | 23% | Electronics, Petrochemical, Rubber |
| Vietnam | 140,000+ | 24% | Electronics, Textiles, Machinery |
| Laos+Cambodia+Myanmar | 16,000+ | 15~20% | Textiles, Agriculture, Light Mfg. |
| Indonesia | 30,000+ | 20% | Metals, Chemicals, Food |
| China | 3,500,000+ | 27% | All sectors, World’s factory |
| South Korea | 430,000+ | 25% | Semiconductors, Auto, Steel |
4.3M+ manufacturers in target region — B2B digital adoption <5% — A massive untapped market for REINDEERS
Current penetration 0.004% vs TAM $108B+ — massive growth headroom
Even at 2030 target revenue of 25.46B KRW, Thailand market penetration is only 0.10% — overwhelming growth headroom relative to total SEA market
Target: #1 market share in SEA B2B trade platform market by 2030
Trade · logistics · ERP systems operated independently. Less than 5% of companies have internal systems
Regional dealer margins 30%+, imported goods distribution margins 50%+
LAZADA · SHOPEE are B2C open markets that do not support industrial materials B2B trade
Core tasks like quotations · documents · logistics · settlements handled via email and spreadsheets
Lack of real-time data makes supply chain visibility impossible
HS Code classification errors, complex certification procedures like TISI cause frequent trade delays
(2026 Estimate)
Average 30% of international trade transactions are delayed due to document errors · communication delays → Tens of billions in annual opportunity costs | Market CAGR 15% growth
No AX without DX, no DX without data — REINDEERS executes sequential DX→AX transformation based on 11 years of field data
| Category | Value | YoY Change |
|---|---|---|
| Steel & construction materials seized | 155M THB | ↑ 37% |
| Electrical · electronic products | 130M THB | ↑ 32% |
| Tires · rubber products | 100M THB | ↑ 25% |
| Violating goods destroyed | 1.8M items | ↑ 18% |
| Online URLs shut down | 9,500+ (TISI Watch AI) | ↑ 30% |
| Category | Value | YoY Change |
|---|---|---|
| Customs evasion | Fine of 50%~400% of unpaid tax | ↑ 85% |
| TISI violation (imports) | Up to 2 years imprisonment or 2M THB fine | ↑ 17% |
| False origin declaration | Additional 40%+ tariff on applicable goods | ↑ 16% |
| HS CODE violation | Fine up to 500K THB | ↑ 18% |
| Uncertified products | Up to 6 months imprisonment / fine up to 500K THB | ↑ 30% |
Regulatory tightening is not a crisis but an opportunity — It directly creates market demand for AI-based certification · customs automation platforms
6 platforms unified under a single data model — Quotation · order · logistics · production data linked per transaction, automatically generating AI training datasets
AI at key steps — 3-party data accumulated per transaction for progressive learning
Thailand Local 11yr validation (2015~) → Incorporation (2022) → AI Launch (2026)
Country-level replication + Cross-border integration for End-to-End infrastructure.
AI: Supply chain optimization · forecasting · E2E automation
AI: Logistics variables · customs risk · route optimization
AI: Demand patterns · price fluctuation · delivery forecast
Learns from 6 platform data → provides AI automation across all platforms: REINDEERS, Forwarder, DVRP, POP, DAI, WAI
Single DB + 6 platform integration — Workflow AI Agent automates all platforms · data accumulation → continuous AI improvement
11 years of trust relationships and transaction history form an entry barrier that new entrants cannot replicate in the short term
6 Platforms → Central AI Flywheel → Multi-layer Recurring Revenue
Cross-border: Buyer pays · Local: Vendor pays
Forwarder pays · Multi-bidding saves shippers 15~20%
2026 internal I-Market · then external 3PL expansion
MES + ERP + WMS integrated · Tiered pricing by modules
Usage-based pricing · Workflow AI Agent automates all platforms
Commission 10% − overhead 2~3% = Net margin 7~8% + SaaS + Token
Transaction fees + forwarding fees + SaaS + Token = multi-layer recurring revenue · Data accumulation → higher AI accuracy → platform value growth
| Feature | REINDEERS | Flexport | SAP/Oracle | LAZADA/ SHOPEE |
|---|---|---|---|---|
| Trade Platform | ✔ | ✔ | ✘ | ✘ |
| WMS/3PL | ✔ | ⚡ | ⚡ | ✔ |
| POP Integration | ✔ | ✘ | ✔ | ✘ |
| Forwarder Bidding | ✔ | ✘ | ✘ | ✘ |
| SEA Specialized | ✔ | ✘ | ✘ | ✔ |
| AI Decision-Making | ✔ | ⚡ | ✘ | ✘ |
| AI Agent Automation | ✔ | ✘ | ✘ | ✘ |
| Document AI | ✔ | ✘ | ✘ | ✘ |
| Workflow Automation | ✔ | ✘ | ⚡ | ✘ |
| SME Pricing | ✔ | ✘ | ✘ | ✔ |
Full trade · logistics · POP integration requires 5+ years of domain experience
Proprietary Document AI · Workflow AI · Decision AI, domain-specialized models trained on 25,000+ real transactions
Multi-sided platform maximizes defensibility after reaching critical mass
Trust relationships with local suppliers · forwarders · clients
More transactions → higher AI accuracy → increased platform value
SEA B2B platform at early stage, high switching costs
These factors form a Technological Moat, creating a structure that is difficult for latecomers to penetrate in the short term
Building a patent portfolio for core technologies to secure IP-based technological competitiveness
| Year | Clients | GMV | Comm. | SaaS·AI | Revenue | OpEx | Op. Profit |
|---|---|---|---|---|---|---|---|
| 2024 | — | 5.4 | 0.5 | — | 0.5 | 6.0 | -5.5 |
| 2025 | — | 9.6 | 1.0 | — | 1.0 | 6.0 | -5.0 |
| 2026 | 120 | 51 | 3.6 | 0.6 | 4.2 | 8.0 | -3.8 |
| 2027 | 250 | 220 | 15.4 | 3.7 | 19.1 | 10.5 | +8.6 |
| 2028 | 450 | 564 | 39.5 | 10.3 | 49.8 | 21.0 | +28.8 |
| 2029 | 750 | 1,344 | 94.1 | 23.5 | 117.6 | 38.0 | +79.6 |
| 2030 | 1,250 | 2,940 | 205.8 | 48.8 | 254.6 | 75.0 | +179.6 |
Commission: GMV × 7% net (after PG fees) | SaaS: DVRP·POP subscription | AI: Document·Workflow Token
Avg. order freq. 2.5→6.8×/mo, order size 3M→3.6M KRW. Details: next page
2024–2025 direct export → 2026 platform transition (120 clients) · 2027 breakeven · GMV CAGR ~176% (2026→2030) · Take Rate 8.7%
8.7% of every transaction automatically becomes platform revenue — 2027 breakeven: 250 clients × ₩3.1M per order × 3.2 orders/mo = GMV ₩22B → Revenue ₩1.91B (Op. Profit +₩0.86B)
| Year | Order Size | Freq./mo | Monthly | Annual |
|---|---|---|---|---|
| 2026 | 3.0M | 2.5× | 7.5M | 90M |
| 2027 | 3.1M | 3.2× | 9.92M | 119M |
| 2028 | 3.2M | 4.2× | 13.44M | 161M |
| 2029 | 3.4M | 5.5× | 18.70M | 224M |
| 2030 | 3.6M | 6.8× | 24.48M | 294M |
Based on SEA supply chain avg. order size, natural frequency growth
| Year | Existing × Annual | New × Half-yr | Calc. GMV |
|---|---|---|---|
| 2026 | 681 client-mo × 7.5M | — | 5.11B |
| 2027 | 120 × 119M = 14.28B | 130 × 60M = 7.74B | 22.02B |
| 2028 | 250 × 161M = 40.25B | 200 × 81M = 16.1B | 56.35B |
| 2029 | 450 × 224M = 100.8B | 300 × 112M = 33.6B | 134.4B |
| 2030 | 750 × 294M = 220.5B | 500 × 147M = 73.5B | 294B |
Existing clients 12 months + new clients avg. 6 months factored
| Year | Comm. (7% net) |
SaaS (DVRP·POP) |
AI Token (Doc·WF) |
Total |
|---|---|---|---|---|
| 2026 | 3.6 | 0.4 | 0.2 | 4.2 |
| 2027 | 15.4 | 2.8 | 0.9 | 19.1 |
| 2028 | 39.5 | 7.2 | 3.1 | 49.8 |
| 2029 | 94.1 | 15.3 | 8.2 | 117.6 |
| 2030 | 205.8 | 30.5 | 18.3 | 254.6 |
Comm: gross 10% − PG fees 2-3% = net 7% | SaaS ARPU 1M→1.3M/mo | AI ARPU 100K→150K/mo
Per-client GMV = order size × monthly freq. | Existing 12-mo + new 6-mo weighted | Commission 7% = 10% gross − PG 2-3% | SaaS·AI additional streams
Year-end 2026: 120 paying clients · GMV ₩51B · AI accuracy 90%+ · 2+ country pilots
1-year discounted onboarding → data lock-in then full-price conversion + AI billing → REINDEERS marketplace lock-in · ARPU 3× growth
Language, currency, trade regulations, tax system adaptation
Collaboration with local forwarding, logistics, financial institutions
Country-specific data sovereignty, privacy law compliance
Credit card, bank transfer, mobile pay integration
Shared technology foundation → Core platform code · AI models · data schema shared to minimize development cost when adding countries
Country-independent platform structure for customized response to each market's regulations · language · business practices while maximizing core technology development efficiency
Pre-emptive mitigation strategies established for each risk — Phased execution to minimize risk
11 years of accumulated SEA · East Asia manufacturing · trade partner network
Total Network 4,300+ — Customers 2,500+ · Vendors 1,800+ — Thailand · Korea · China · Vietnam · Malaysia
Direct visits to SEA manufacturing partner factories and supply chain verification
Raw material warehouses, CNC machining, injection molding, press operations — On-site supply chain verification completed
On-site client visits, product demos, and partnership building
On-site client visits, product demos, manufacturing partner tours — Building on-ground business relationships
Market, team, technology, traction — 4 core validation results.
Market timing + proven team + technology edge + traction — All 4 core factors validated, making now the optimal investment point
NTM (Next Twelve Months) — Based on projected 2027 break-even revenue, B2B SaaS median multiple applied
| # | Factor | Value |
|---|---|---|
| 1 | B2B SaaS median PSR range | 5~8x |
| 2 | Revenue growth (5x vs SaaS median) | YoY +77% |
| 3 | GMV CAGR (2026→2030) | ~176% |
| 4 | Proprietary data (11yr transactions) | 25,000+ |
| 5 | Platform switching cost (data lock-in) | High |
| 6 | TAM — digital penetration <5% | $108B+ |
| 7 | Multi-country infrastructure | 4 countries |
Through SaaS platform transactions, B2B data accumulates naturally, forming the foundation for AI learning.
With AI premium (PSR 10~15x)
19.1~28.6B KRW
Not included in current 10~12B proposal
B2B SaaS median multiple applied · AI premium not included — Conservative NTM-based enterprise value 10~12B KRW
Enterprise value verified through 2 independent valuation methods
| Pre-money | 10~12B KRW |
| Investment | 500M KRW |
| Post-money | 10.5~12.5B KRW |
| Investor Equity | 4.0~4.8% |
| Entity | Capital | KRW |
|---|---|---|
| Korea (HQ) | 326M KRW | 326M |
| Thailand | 2,000,000 THB | ~93M |
| China | 1,000,000 CNY | ~214M |
| Malaysia | Min. capital | Biz prep |
| Total | ~630M |
VC Method · Comparable Analysis — Independent verification confirms 9.5~12B KRW convergence
40% of investment focused on technology development — Target: 5 key milestones within 12 months
REINDEERS is not just software.
It is a paradigm shift where international
trade, logistics, and POP are unified,
and AI assists decision-making —
next-generation B2B infrastructure.
We are looking for investors who will
join us in building the future of
global B2B trade.
Through investment, let's together
achieve first-mover position in the
SEA and global B2B trade platform market.
“The $130B Southeast Asian trade market is ready for AI.
11 years of real operational data, 6 proprietary platforms, infrastructure across 4 countries
— no other team has this technology and execution power.
This is the moment to join us.”
