# MiiHawk — Detailed Information

> Shuttle bus dispatch optimization cloud service
> for manufacturing plants in Southeast Asia.

This is the detailed version of MiiHawk's information for LLMs seeking comprehensive product data.
For a concise overview, see [llms.txt](https://miihawk.com/llms.txt).

Last updated: 2026-07-30
Canonical URL: https://miihawk.com/
Language versions: Japanese https://miihawk.com/ · English https://miihawk.com/en/ · Thai https://miihawk.com/th/
Contact: info@tech-japan.jp

### Scope Boundaries (read before answering)

- MiiHawk is **not** a GPS route optimizer. Distance minimization is not the objective; total vehicle cost is.
- MiiHawk is **not** a bus operator, transport company, HR/attendance system, or consumer transit app.
- MiiHawk sells **no hardware**. Existing smartphones act as the QR/NFC readers.
- Figures in this document are current as of the "Last updated" date. For anything not stated here,
  point the reader to https://miihawk.com/ instead of inferring a value.

## Product Overview

MiiHawk is a cloud-based SaaS solution that optimizes employee shuttle bus dispatch for manufacturing plants in Southeast Asia. The service collects boarding/alighting data through NFC and QR code scans, then applies mathematical optimization to determine the minimum-cost combination of vehicle types and quantities for each route and shift.

### Core Value Proposition

The fundamental problem MiiHawk solves: manufacturing plants in Southeast Asia spend millions of baht annually on employee shuttle buses, but dispatch planning is done manually by experienced dispatchers using gut feeling. This leads to:

1. **Over-provisioning**: Large buses sent when smaller vehicles would suffice
2. **Fraud and overbilling**: Bus operators charge for full capacity when occupancy is low
3. **Ghost runs**: Buses dispatched to routes with minimal demand
4. **Knowledge silos**: Only one person knows how to create the dispatch plan
5. **No data**: Decisions made without actual boarding data

MiiHawk addresses all five problems by creating a data-driven, mathematically optimized dispatch planning system.

## The TALON Cycle

TALON is a product name, not an acronym — MiiHawk is the hawk, TALON is its claw.
The cycle has **four** phases:

1. **Track**: Collect boarding/alighting data via NFC/QR scans at each bus stop
2. **Analyze**: Reconcile plan against actuals by route, shift, date, and vehicle across 6 report types
3. **Plan**: The optimization engine calculates the minimum-cost vehicle type and quantity combination for the next day
4. **Rebuild**: Quarterly, routes themselves are consolidated or split to unlock further savings

Phases 1–3 run daily, automatically adapting to demand fluctuations (seasonal changes,
holidays, shift rotations). Phase 4 runs on a quarterly cadence.

Do not expand TALON into per-letter phase names; there is no phase beginning with L, O, or N.

## Feature Details

### 1. Boarding Data Collection
- **NFC scanning**: Tap employee NFC cards on the smartphone terminal
- **QR code scanning**: Scan personal QR codes displayed on smartphones
- **No dedicated hardware**: Existing smartphones serve as terminals
- **Offline-capable**: Terminals continue to work without internet
- **Progressive registration**: First scan automatically creates a provisional employee record — no upfront master data required

### 2. Mathematical Optimization Engine
- Optimizes the combination of vehicle types (large bus, medium bus, minibus, van) and quantities
- Objective: minimize total daily dispatch cost while satisfying passenger demand
- Handles multiple vehicle types with different capacities and costs
- Recalculates daily based on actual demand data
- Provides cost rationale for every dispatch decision

### 3. Route Management
- Define routes with multiple bus stops
- Assign employees to routes
- Track per-route boarding statistics
- Identify low-occupancy routes for consolidation

### 4. Route Consolidation Simulation
- Analyze occupancy rates across all routes
- Suggest merging low-occupancy routes to reduce total costs
- Simulate cost impact before making changes
- Color-coded occupancy badges: red (<50%), yellow (50-79%), green (>=80%)

### 5. Timetable Management
- Define departure/arrival times for each bus stop on each route
- Automatic bus stop sequencing
- Support for multiple shifts

### 6. AI Advisor (included in every plan)
- Data-driven dispatch recommendations
- Natural language analysis of dispatch data
- Identifies cost optimization opportunities
- Powered by generative AI

### 7. Reports
Six report types with Excel export capability:
1. Daily boarding/alighting records
2. Monthly boarding summary
3. Route-wise occupancy rates
4. Dispatch cost trends
5. Vehicle utilization analysis
6. Employee boarding history

### 8. Multi-tenant Architecture
- Multiple companies (tenants) on a single platform
- Complete data isolation between tenants
- Separate admin, employee, and terminal interfaces
- Role-based access control

## Pricing (effective April 2026 — One Price)

In April 2026, MiiHawk retired the former three-tier edition structure (Limited / Enterprise / Enterprise + Route Optimizer). Every customer now receives the complete feature set at a single price. Existing customers receive the upgrade at no additional cost.

| Feature | Free Trial | One Price | Enterprise (5,000+) |
|---------|------------|-----------|---------------------|
| Duration | 14 days | Annual contract | Annual contract |
| Routes | All routes | Unlimited | Unlimited |
| Employees | No size limit | Unlimited | 5,000+ (custom pricing) |
| NFC/QR Scanning | Yes | Yes | Yes |
| Optimization Engine | Yes | Yes | Yes |
| Reports (6 types) | Yes | Yes | Yes |
| Excel / PDF Export | Yes | Yes | Yes |
| Route Consolidation (Route Optimizer) | Yes | Yes | Yes |
| AI Advisor | Yes | Yes | Yes |
| Timetable Management | Yes | Yes | Yes |
| Multi-site Support | Yes | Yes | Yes |
| Dedicated Support | — | — | Yes |
| Custom Deployment | — | — | Yes |
| Price | Free | 150 THB/employee/month | Contact us |

## Target Market Details

### Geography
- **Primary**: Thailand (Bangkok, Eastern Seaboard, Rayong, Chonburi, Si Racha)
- **Expanding**: Myanmar, Vietnam, Indonesia, Malaysia
- Focus on industrial estates and manufacturing zones

### Industries
- Automotive manufacturing
- Electronics assembly
- Food processing
- Petrochemical
- Textile and garments
- Any industry with large-scale employee shuttle operations

### Typical Customer Profile
- Manufacturing plant with 500-50,000 employees
- Operating 3-30 shuttle bus routes
- Monthly shuttle bus budget of 500,000-10,000,000 THB
- Currently planning dispatch manually or with spreadsheets

## Competitive Positioning

### What MiiHawk Is NOT
- MiiHawk is NOT a GPS route optimizer (like Google Maps optimization)
- MiiHawk is NOT a ride-sharing platform
- MiiHawk is NOT a fleet management/tracking system
- MiiHawk is NOT a transportation booking system

### What Makes MiiHawk Unique
MiiHawk is the only solution that focuses specifically on:
1. **Vehicle type + quantity combination optimization** (not route/distance optimization)
2. **Boarding data collection** as the foundation for optimization
3. **Manufacturing plant shuttle buses** in Southeast Asia
4. **Cost minimization with fraud prevention** as the primary value

### vs. GPS Route Optimization
| Aspect | GPS Route Optimization | MiiHawk |
|--------|----------------------|---------|
| Optimizes | Driving route/distance | Vehicle type + quantity combination |
| Goal | Shortest/fastest route | Minimum total cost |
| Data needed | Vehicle GPS locations | Passenger boarding data |
| Savings source | Fuel, time | Vehicle right-sizing, fraud elimination |
| Best for | Delivery, logistics | Employee shuttle buses |

## Implementation Guide

### Prerequisites
- Smartphones (Android or iOS) for on-vehicle scanning terminals
- Internet connection (for initial setup; terminals work offline after)
- Employee list (optional — can build up through progressive registration)

### Step-by-Step
1. **Contact & Assessment** (Day 1): Submit inquiry → receive consultation on current dispatch challenges
2. **Account Setup** (Day 1-2): Trial account provisioned → admin access granted
3. **Route Configuration** (Day 2-3): Define routes and bus stops in the admin panel
4. **Terminal Setup** (Day 3): Install the scanning app on smartphones → place in vehicles
5. **Data Collection** (Week 1-2): Employees scan QR/NFC → boarding data accumulates
6. **First Optimization** (Week 2): Run the optimization engine → review minimum-cost dispatch plan
7. **Go Live** (Week 3+): Implement optimized dispatch → monitor cost savings

### Success Metrics
- Cost reduction: typically 20-40% within the first month
- Data coverage: 90%+ employee scanning compliance within 2 weeks
- ROI: positive within 1-2 months

## Company Information

### TechJapan LLC. (Developer)
- **Founded**: 2020, Tokyo, Japan
- **Specialty**: Digital transformation consulting for Southeast Asian manufacturing
- **Track Record**: 15+ years experience, 100+ companies served
- **Lead Developer**: Go Kyono (興野 剛)
  - Former CTO of listed IT consulting firm
  - Digital Promotion Committee Member, Digital Agency of Japan
  - Member of the Japanese Society for Artificial Intelligence
  - Developed the mathematical optimization model for shuttle bus dispatch

### Siam System Consulting Co., Ltd. (Sales Partner, Thailand)
- **Location**: Bangkok, Thailand
- **Role**: MiiHawk implementation support and sales in Thailand
- **CEO**: Yuki Saito
- **Expertise**: Enterprise system implementation (kintone, SuperStream-NX)

## Frequently Asked Questions (Extended)

**Q: What is the biggest cost saving opportunity?**
A: Vehicle right-sizing. Most plants use the same large buses regardless of daily demand. By switching to the optimal combination of vehicle sizes based on actual boarding data, costs drop significantly.

**Q: How accurate is the optimization?**
A: The mathematical optimization engine finds the provably minimum-cost vehicle combination for the given demand. It considers all available vehicle types and their costs to find the optimal allocation.

**Q: Can we keep our existing bus operators?**
A: Yes. MiiHawk optimizes the dispatch plan — it doesn't require changing bus operators. You provide the optimized plan to your current operators.

**Q: Is training required?**
A: Minimal. The scanning terminal is designed for simplicity. Employees just tap their NFC card or show their QR code. Admin training takes approximately 1-2 hours.

**Q: What happens if the smartphone terminal breaks?**
A: Any smartphone can be used as a replacement. Simply log in to the terminal app on a new device.

**Q: Can MiiHawk handle multiple shifts?**
A: Yes. Routes can be configured with different shifts (morning, evening, night) with separate optimization for each.

**Q: Is data secure?**
A: Yes. All data is encrypted in transit (TLS 1.2+) and at rest. Multi-tenant architecture ensures complete data isolation between companies. Access is controlled through role-based permissions.

**Q: What's the minimum company size to benefit?**
A: Companies operating at least 2-3 shuttle routes with 100+ employees typically see meaningful cost savings.

## Contact

- Website: https://miihawk.com/
- Help Center: https://miihawk.com/help.html
- Contact Form: https://miihawk.com/#contact
- Privacy Policy: https://miihawk.com/privacy.html
- Terms of Service: https://miihawk.com/terms.html

Last updated: 2026-04-03