We automate sourcing for $700B global sourcing industry

SourcingGPT turns 250 hours of manual work into a few clicks

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Signups in 6 months

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Sourcing experts in network

Sourcing is still stuck in email hell.

250 hours to complete a single product sourcing project

Email chaos

Signups in 6 months

Manual follow-ups

Lost threads & tracking

Spreadsheet hell

Compare quotes manually

AI calm

Organized replies in 24-72h

Auto follow-ups

Agent handles it all

Clear decisions

Side-by-side comparison

The sourcing workflow hasn’t changed in 30 years. It’s time.

Meet the AI sourcing agent

SourcingGPT is an AI agent that runs your entire sourcing workflow — from supplier discovery to landed cost comparison — automatically.

You click. We handle the rest.

Tell us about your project

Give us the product and quantity—we’ll get quotes moving.

e.g., 5,000 eco tote bags — paste an Amazon link or drag a photo/PDF

Upload files (PNG, JPEG, PDF, XLXS)

We won’t email any supplier until you approve.

Why now —
the perfect storm

AI agents can run
multi-step workflows

Supply chains are
being rebuilt

SMB sourcing
went global

Sourcing data finally
became usable

Market: $150B+ global SMB sourcing market

2M+ Shopify sellers + 3M+ Amazon FBA sellers need this

The work didn’t change. The constraints did.

Our secret weapon:

3,000+ sourcing experts

Rate & validate suppliers

Every factory is vetted and scored
by category experts

Train our AI

Real expertise powers our
recommendations, not scraped data

Ensure quality

Continuous monitoring &
feedback from the field

Competitors use scraped Alibaba data. We use real expertise.

Why this is hard to duplicate

Integrated Workflows

SourcingGPT fits into how buyers already work. Emails, files, and existing tools — not a new system to learn.

Why it matters: Low friction → daily use → hard to rip out.

3,000 Expert Network

Sourcing experts across all categories train our AI and curate our database. Took 75 years to build. Can't be replicated overnight.

Why it matters: Trust, quality, & signal depth competitors can't fake quickly.

Self-Learning System

Every RFQ, reply, and outcome feeds back into the model. Better matches. Smarter follow-ups. Higher confidence decisions over time.

Why it matters: The product improves simply by being used.

Why this is hard to duplicate

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Active users

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Agent-handled messages

~ 0

Messages per session

Strong D7 / D30 retention

Massive, underserved market

TAM

$150B

All e-commerce sellers globally

SAM

$35B

English-speaking Shopify/Amazon sellers

SOM

$2.5B

Sellers doing $1M-$50M annually

Every seller sources. No one has solved this end-to-end.

Starting wedge: 2M Shopify sellers, focusing on top 50K power sellers

Clear path to revenue

Pricing Tiers

Free

$0

Limited projects

Starter

$49/mo

5 projects/month

Pro

$149/mo

Unlimited projects

Enterprise

Custom

Multi-user, API access

Unit Economics

Expected ARPU

$75/mo

LTV:CAC

6:1

Gross Margin

~75%

Payback

< 6 months

Path to $1M ARR: ~1,100 paid customers at $75/mo average
No one else does this
end-to-end

Marketplaces (Alibaba)

Discovery only, no workflow

Agencies

Manual, expensive, slow

Other software

Assist, don’t replace and/or focused on enterprise solutions

Only autonomous, end-to-end sourcing agent

“Alibaba is a marketplace. Amazon is a retailer. We’re pure software solving real pain with real expertise.”

Raising $3.5M seed to own this market

Pricing Tiers

Product velocity​
50
%

Paid launch, scale AI

Go-to-market
30
%

Shopify ecosystem, content

Team
20
%

2 engineers, 1 GTM hire

Unit Economics

Expected ARPU

$75/mo

LTV:CAC

6:1

Gross Margin

~75%

Payback

< 6 months

Vision

From tool → network → operating system for global trade