Product Identity Graph

Executive Summary

Dynamic digital product passports for EU regulatory compliance. Every physical product gets an immortal digital identity that carries its full lifecycle — manufacturing, ownership, repairs, recycling — as mutable token state on DUAL. EU Digital Product Passport regulation makes this mandatory by 2027.

Token Data Schema

What this token holds — every field is specific to Product Identity Graph:

{
  "immutable": {
    "graph_id": "UUID",
    "merchant_id": "string",
    "product_sku": "string",
    "channel_id": "string"
  },
  "mutable": {
    "identity_score": "float",
    "risk_level": "enum",
    "confidence_percentile": "float",
    "last_verified": "timestamp"
  },
  "compliance": {
    "gdpr_compliant": "bool",
    "data_retention_policy": "string",
    "consent_record_id": "UUID"
  }
}

User Journey

Step 1: Merchant Admin

Registers product catalog with identity attributes (brand, origin, certification)

Token: graph_id created, immutable SKU binding

Step 2: Analytics Engine

Computes identity confidence score using cross-channel purchase history

Token: identity_score updated, risk_level computed

Step 3: Channel Manager

Queries identity graph to prevent unauthorized grey-market sales

Token: access_log appended

Step 4: Compliance Officer

Verifies GDPR compliance and updates data retention policy

Token: gdpr_compliant = true, consent_record_id recorded

Step 5: Brand Protection System

Flags counterfeit listings matching authentic product identity

Token: risk_level elevated, alert_sent

Token Lifecycle

State machine transitions:

Manufactured→Distributed→Sold→In Use→Serviced→Resold→Recycled

Why Not Just a Database?

Approach	Portability	Mutable State	Cross-Org	Compliance
Traditional ERP	Vendor-locked	Update-in-place	Limited to enterprise	Internal only
Blockchain NFT	Portable	Immutable; new NFTs for updates	Smart contract interaction	No privacy controls
Centralized Identity Provider	Proprietary API	Centralized updates	Pay-per-query	GDPR limited
DUAL Identity Token	Open Event Bus access	Cryptographic state proofs	Cross-brand queries	Privacy-by-design

Market Opportunity

TAM

$100B+

SAM

$10B

SOM

$300M

Mutable state tracks full product lifecycle; Compliance Layer embeds EU DPP regulation; immutable provenance chain proves authenticity; geo-positioning pins products to manufacturing origin.

Business Model & Unit Economics

Per-Brand License: $500-$2,500/month for identity graph access and updates
Verification API Calls: $0.01-$0.05 per API call; avg. 10K calls/brand/month
Brand Protection Service: $250/month monitoring + manual counterfeit takedown assistance
Licensing Analytics: De-identified brand performance and identity misuse reports

Unit Economics

Per-brand: $500-$3,000/month license + $0.01-$0.05 per API call (10K calls = $100-$500). COGS ~$50/month (query processing). Gross margin: 85%+. Payback in 2-3 months.

5-Year Projections

Year	ARR	Customers	Notes
Y1	$100K	50 brands	Pharma + luxury goods verticalization
Y2	$750K	200 brands	Grey-market detection AI deployed
Y3	$2M	600 brands	GDPR data residency compliance
Y4	$4.5M	1,200 brands	Cross-brand identity federation
Y5	$7M	2,000 brands	Industry identity standard adoption

Competitive Positioning

Competitor	Weakness	DUAL Advantage
Shopify Verified by Shopify	Shopify-only ecosystem; no cross-brand identity; limited GDPR support	Open identity graph; cross-brand queries; privacy-by-design
Trustpilot / ScanSource Reviews	Reputation-only; no product identity; centralized review bias	Product identity + brand verification + immutable audit trail
Authenticity Ledger (Custom Solutions)	Enterprise-locked; expensive implementation	Plug-and-play DUAL token + affordable API

Go-to-Market

Phase 1: Pharma Identity Graph (Months 1-6)

Launch with top 5 pharmaceutical brands in US market. Integrate authentication, lot-number verification, cold-chain tracking. Target: 50 brands, $100K ARR.

Phase 2: Luxury Goods Expansion (Months 6-18)

Add luxury watch, handbag, sneaker brands. Grey-market detection AI trained on 100M+ transactions. Target: 200 brands, $750K ARR.

Phase 3: Industry Standard (Year 2+)

Cross-brand identity federation. Become the identity layer for retail authentication. Licensing partnerships with major e-commerce platforms.

90-Day MVP

Identity graph data model: SKU, merchant, channel, brand attributes
Cross-channel identity computation: Purchase history risk scoring algorithm
GDPR-compliant data residency: EU + US data isolation
Anti-counterfeiting detection: Anomaly detection on identity attribute mismatches
Merchant admin portal: Upload product catalog + identity rules
API for brand identity queries: Confidence score + risk level response

Risk Factors

Brand Adoption Lag

Luxury and pharma brands may resist revealing product identity data (competitive concerns).

Mitigation: Anonymized data aggregation; opt-in transparency tiers; IP protection with GDPR-grade encryption.

Data Privacy Regulation

GDPR, CCPA, and emerging regulations may restrict cross-brand data queries.

Mitigation: Zero-knowledge proof architecture; data residency options; legal reviews pre-launch.

Counterfeit Detection Accuracy

ML models may have false positives, flagging legitimate products as fraudulent.

Mitigation: Conservative scoring thresholds; human review for flagged items; continuous model retraining.

Integration Complexity

Each brand has proprietary supply chain systems. Custom API integrations slow deployment.

Mitigation: Pre-built connectors for SAP, Oracle, Salesforce; data import templates; managed integration service.

VC Pack Documents

Complete pre-seed investment package:

One-Pager

PDF — investor summary

Pitch Deck

PPTX — presentation

Investment Memo

DOCX — detailed memorandum

Financial Model

XLSX — 5-year projections

Get Started with AI

Prerequisites: Complete the DUAL Quick Start Guide to set up your environment and API keys before building this concept.

# Build Product Identity Graph on DUAL

You are building a cross-brand identity verification system. Start here:

1. Design the identity graph schema: immutable SKU, merchant_id, channel_id; mutable identity_score, risk_level, confidence_percentile; compliance gdpr_compliant, data_retention_policy.

2. Create the identity computation engine:
   - Ingest merchant product catalogs (brand, origin, certification)
   - Compute identity confidence score from purchase history
   - Flag anomalies (counterfeit indicators)
   - Update risk level dynamically

3. Build the query interface:
   - Brand protection teams query "Is this product authentic?"
   - Return confidence score + risk signals
   - Log all queries for audit trail

4. Implement GDPR compliance:
   - Data residency (EU vs US)
   - Consent records per brand
   - Right-to-be-forgotten support

5. Create the grey-market detection:
   - Detect unauthorized channel sales
   - Flag counterfeit products by attribute mismatch
   - Alert brand protection teams

Start by designing the identity attributes and confidence algorithm.