Project Overview
An analysis of the app's vision, target market, competitive edge, and strategic solutions, backed by verifiable data.
The Vision: From Photo to Freight
Capture
Photo & Video
Specify
Destination
Clarify
AI-Powered Q&A
Comply
Code & Docs
Market Feasibility
The global trade management software market is projected to reach $2.2 Billion by 2030, growing at a 9.9% CAGR. This growth is fueled by the critical need to automate compliance and mitigate the high financial risks of classification errors.
The Financial Impact
The cost of non-compliance is a major pain point and a primary driver for adoption.
Up to 30%
of products are misclassified, leading to incorrect duty payments.
€2,700+
Potential fine per incorrect declaration in jurisdictions like Mexico.
97%
Accuracy rate reported by commercial AI-classifiers, validating the tech.
Our Target Customer: "Sanjay"
Who He Is
Role: Sourcing Manager / Import Specialist
Company: SME in Manufacturing or Retail
Location: Based in a major trade hub
His Key Challenges
Fear of Fines: Constant worry over penalties from misclassification.
Time Sink: Wasted hours manually researching codes for new products.
Documentation Risk: Uncertainty about required certificates for new shipments.
"Sanjay" isn't a customs expert, but his job performance and company's bottom line depend on him getting customs right, every time.
Competitive Landscape
| Tier | Competitors | Focus & Limitations |
|---|---|---|
| Tier 3 Foundational |
Government Websites (e.g., US Census, EU TARIC) |
Manual Look-up. These are passive data libraries. They require the user to be a customs expert and do all the work manually. |
| Tier 2 Advanced |
Avalara, Thomson Reuters, Trademo, iCustoms | Text-Based, Bulk Classification. Designed for office-based teams to process spreadsheets of existing product catalogs. Not suitable for new items found in the field. |
| Tier 1 Direct / Emerging |
Zonos, MIC Customs, FindHS.codes |
Image-Enabled Classification. They use images as a starting point but lack depth in resolving complex ambiguities and do not provide comprehensive compliance documentation. |
Our Unique Selling Proposition
The Smart Q&A Funnel
Our AI initiates an interactive dialogue to confirm critical details, resolving ambiguity where competitors simply guess. This ensures superior accuracy.
Integrated Compliance Checklist
We provide the specific mandatory documents (CE, FCC, BIS, etc.) required for that product and country, making our app a complete compliance tool.
Field-First UX
Our interface is purpose-built for mobile, on-the-go use by sourcing professionals, not for desk-based bulk data entry.
App Tour: How It Works
Step 1: Details
Product Photo/Video
+
Destination
Start with the basics.
Upload your product's photo and select its destination.
Step 2: Clarify
Is it battery powered?
What is its primary function?
Answer smart questions.
Our AI asks for the exact details needed for perfect classification.
Compliance Report
Toy Car → European Union
TARIC Code (EU)
9503.00.4100
Required Documents
✓ CE Declaration
✓ EN 71 Test Report
Get actionable results.
Receive the precise code and a checklist of all required documents.
Project Scope & Financials
A detailed roadmap for implementation, team structure, and financial projections for our Kochi-based startup.
6-Month Implementation Timeline
Months 1-2: Foundation & Design
Core architecture definition, UX/UI wireframing, and initial AI prototyping.
Months 3-4: Core Development
Frontend/backend coding, AI model integration, and initial database population.
Months 5-6: Testing & Launch
Alpha/Beta testing cycles, marketing preparation, and public deployment.
Core Team Structure
| Role | Quantity | Key Responsibility |
|---|---|---|
| Full-Stack Developer | 2 | Build and maintain the core application and infrastructure. |
| AI/ML Engineer | 1 | Design, fine-tune, and optimize the "Smart Q&A" engine. |
| UI/UX Designer | 1 | Create an intuitive, simple, and premium user experience. |
| Data Integrity Analyst | 1 | (Post-launch) Manage and update the trade compliance database. |
| Sales & Customer Support | 1 | (Post-launch) Onboard new clients and provide user support. |
Implementation Costs
Total one-time cost to build the MVP over 6 months, optimized for a Kochi-based team. Total: ~₹31 Lakhs.
| Team Salaries (6 Mo) | ₹21,50,000 |
| Marketing & Launch Campaign | ₹7,50,000 |
| Software, Legal & Admin | ₹2,00,000 |
Monthly Running Costs
Recurring monthly expenses to operate, maintain, and grow the business post-launch. Total: ~₹5.7 Lakhs.
| Team Salaries | ₹2,21,000 |
| Tech & Data APIs | ₹2,10,000 |
| Marketing & Operations | ₹1,35,000 |
Pricing Strategy
A tiered model designed to be accessible for individuals and scalable for enterprises.
| Plan | Price (INR/mo) |
|---|---|
| Professional | ₹1,499 |
| Business (5 Users) | ₹5,999 |
| Enterprise | Custom |
Customer Acquisition Cost (CAC)
The estimated cost to acquire one new paying customer through targeted digital marketing.
₹6k - ₹9k
Source: Average B2B SaaS CAC in India. Our goal is an LTV:CAC ratio of >3:1.
Capital Required to Break-Even
This is the total funding required to cover the initial implementation costs plus the cumulative operational losses until the company becomes profitable.
Base-Case Scenario
~₹96 Lakhs
(Over ~24 months)
Worst-Case Scenario
~₹1.37 Crores
(Over ~38 months)
Path to Profitability
Base-Case Projection
| Year | Users | MRR | Status |
|---|---|---|---|
| 1 | ~130 | ₹1.56L | Loss |
| 2 | ~500 | ₹6.0L | Break-Even |
| 3 | ~1,500 | ₹18.0L | Profitable |
Worst-Case Projection
| Year | Users | MRR | Status |
|---|---|---|---|
| 1 | ~70 | ₹0.63L | Loss |
| 2 | ~250 | ₹2.25L | Loss |
| 3 | ~650 | ₹5.85L | Break-Even |