
LoadShield
AI freight fraud prevention for logistics operations
The Problem
Freight fraud costs the logistics industry £500M+ annually in the UK alone. Fake carriers, double-brokering, and document fraud are rampant.
Freight brokers, logistics managers at haulage firms, supply chain directors, and anyone who books loads.
Manual document checks, calling references, trusting gut instinct, or paying for expensive background check services that take days.
A single fraudulent load can cost £10,000-50,000. Some companies lose hundreds of thousands per year to fraud.
The Solution
Scan carrier documents instantly with AI. Detect fake insurance certificates, verify carrier identity, score risk levels, and flag suspicious patterns.
Real-time AI analysis vs manual checks. Catches fraud patterns humans miss. Integrates into existing workflows.
Key Features
| Feature | What it does | Why it matters |
|---|---|---|
| [object Object] | AI scans BOLs, insurance certs, carrier docs for tampering | Catch fakes before you lose money |
| [object Object] | Cross-reference carrier details against databases | Know who you're really dealing with |
| [object Object] | AI-generated risk score for each carrier/load | Prioritize your verification efforts |
| [object Object] | Connects to transportation management systems | No workflow disruption |
The AI Explained
For non-technical people
OCR (Optical Character Recognition) combined with large language models for document analysis and pattern detection.
An AI agent is like a digital fraud investigator that never sleeps. It learns what legitimate documents look like and spots the fakes.
The agents in this tool
| Agent Name | What it does | Human equivalent |
|---|---|---|
| Document Scanner | Reads and extracts data from uploaded documents | Data entry clerk typing in details |
| Fraud Detector | Compares documents against known fraud patterns | Experienced fraud investigator |
| Verification Agent | Cross-checks carrier details against databases | Background check service |
Scanning a carrier packet and getting a fraud risk score in 10 seconds instead of spending 30 minutes on manual verification.
Employees this replaces (or augments)
| Role | Salary (UK avg) | What the AI does instead |
|---|---|---|
| Compliance Officer | £35,000/yr | Document verification and carrier vetting |
| Fraud Investigator | £45,000/yr | Pattern detection and risk assessment |
Why I Built This
Listening to the news, I kept hearing about lorries and ghost carriers and different scams hitting the freight industry. So I thought — right, I can build something for that. My ParetoLens 80/20 brain kept telling me to concentrate on LoadShield, though it's not a passion project — I don't want to be locked into sorting problems for something I don't really want to do.
I build faster than I can sell. This needs someone who knows the logistics industry and can get meetings with freight brokers.
The industry standard for freight fraud prevention. Every load gets a LoadShield check.
The Business Model
How it makes money
| Revenue stream | Price point | Who pays |
|---|---|---|
| Per-scan pricing | £1-5 per document scan | Small brokers |
| Monthly subscription | £99-499/month | Medium freight companies |
| Enterprise API | Custom pricing | Large logistics firms |
Current status
[TOM: Current user count]
[TOM: Current revenue]
No
No
Revenue potential
Conservative: 50 companies × £199/mo = £119,400 ARR
Medium: 200 companies × £299/mo = £717,600 ARR
Comparable products charge: Carrier411 charges £200+/month. Highway charges £500+/month for verification services.
The Market
5,000+ freight brokers in UK. 50,000+ in US. Global logistics market worth £8 trillion.
Fraud is increasing post-pandemic. AI/OCR tech now accurate enough for document verification. Industry desperate for solutions.
Competition
| Competitor | Their price | Our advantage |
|---|---|---|
| Carrier411 | £200+/month | AI-powered vs database lookup only |
| Highway | £500+/month | Faster, more affordable, focused on fraud |
| Manual checks | £0 (but slow) | Instant results, catches more fraud |
What's Already Built
Tech stack (plain English)
| Component | What it means | Why it matters |
|---|---|---|
| FastAPI | Fast Python backend | Quick document processing |
| Supabase | Database + authentication | Secure data storage |
| OCR + AI | Document reading + analysis | The brain that detects fraud |
What's live
- •Document upload
- •OCR extraction
- •Fraud pattern detection
- •Risk scoring
What's ready but not launched
- •API for integrations
- •Batch processing
What's planned
- •TMS integrations
- •Mobile app
- •Real-time monitoring
Deployment status
The Roles Needed
E-Myth Hats
This business needs these hats
| Hat | What they do | Hours/week | Could be same person as... |
|---|---|---|---|
| Sales/BD | Meet freight brokers, demo product, close deals | 20-30 | — |
| Ops | Customer onboarding, support, feedback collection | 10-15 | Sales/BD |
1 person with logistics industry connections who can sell and support
B2B sales skills transfer to EvidenceOS, VetSense AI
The Partnership Terms
20-35%
24 months
30-day trial period
Revenue milestones
Example milestone structure
| Milestone | Equity unlocked |
|---|---|
| First 5 paying customers | 5% |
| £2,000 MRR | +10% |
| £10,000 MRR | +10% |
| £25,000 MRR | +10% |
What Tom provides
- ✓All tech development
- ✓Infrastructure costs
- ✓Product roadmap input
- ✓AI model improvements
What you provide
- ✓Customers
- ✓Industry expertise
- ✓Market feedback
- ✓20+ hours/week commitment
Is This For You?
This is for you if...
- You have connections in logistics/freight industry
- You understand freight brokerage operations
- You can sell B2B software
- You can commit 20+ hours/week
This is NOT for you if...
- You have no logistics industry experience
- You need immediate income
- You're not comfortable with sales
Former freight broker or logistics professional who knows the pain of fraud and has a network to tap into.
Getting Started
If you apply and we agree:
Week 1-2
- •Product deep-dive
- •Industry positioning strategy
- •Target customer list
- •30-day goals
Day 30 Review
- •Assess progress
- •Formalize agreement if targets met
Month 2-6
- •Scale outreach
- •First enterprise conversations
- •Product feedback loop
The Buzz
For non-technical people
This isn't a business idea. It's a working product. The hard part — building software that works — is done.
What you're actually getting:
- AI that catches document fraud humans miss
- A tool that verifies carriers in 10 seconds instead of 30 minutes
- Protection against £10,000+ fraud losses per incident
- Tech that would cost £100,000+ to build
Upload a carrier's insurance certificate. In 10 seconds, LoadShield flags that the policy number doesn't match the database, the document has been digitally altered, and this "carrier" has been flagged in 3 other fraud reports.
One prevented fraud pays for years of subscription. Companies using LoadShield report 90%+ reduction in fraud losses.