ABOUT MARGIN HUNTER

We build AI agents that work inside wholesale liquidation companies — scanning platforms, analyzing manifests, scoring deals, and generating marketing packages. Not a tool you log into. A team member you deploy.

THE PROBLEM

Wholesale liquidation operators are drowning in data. Thousands of lots listed every day across dozens of platforms. Each one needs manifest review, item-by-item comp research, ROI calculations, and a buy/pass decision — all before the auction closes. The operators who win are the ones who can evaluate more lots, faster, with better data. But hiring more buyers doesn't scale. Spreadsheets don't scale. Manual comp research doesn't scale.

OUR SOLUTION

We deploy a dedicated AI agent into each operator's business. It monitors liquidation platforms 24/7, breaks down every manifest item by item, pulls real sold comps, calculates freight-adjusted ROI, and sends deal alerts through the channels operators already use. When they buy a load, the same agent generates marketing packages to help them sell faster. Every accept/pass decision trains the agent to get sharper. The result: operators evaluate 10x more inventory with better data and less time.

HOW WE THINK

Operators First

Every feature we build starts with one question: does this help a wholesale operator buy smarter or sell faster? If not, we don't build it.

Not a SaaS

We don't build dashboards people have to log into. We deploy agents that work inside the channels operators already use — text, Telegram, email.

Real Data, Real Results

No hypothetical projections. Every comp is from an actual sale. Every ROI estimate is backed by market data. Every agent improves from real outcomes.

White-Glove, Always

No self-serve onboarding. Every operator gets a 1-on-1 kickoff call, hands-on configuration, and direct access to the team behind the tech.

THE TEAM

JR

Jordan

Founder & CEO

Built Margin Hunter after watching wholesale operators spend hours manually scanning auction platforms. Obsessed with turning liquidation buying from guesswork into a data advantage.

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