PalletMath scores every pallet 1โ100 from its manifest โ expected recovery, worst realistic case, break-even day, and the max bid where even a bad pallet doesn't lose money. Built for resellers whose margin pays the rent.
Every reseller who's lost money on a pallet lost it the same three ways. PalletMath prices all three into the score before you bid.
The "$479" line item that sells for $12. MSRP padding is the oldest trick in liquidation. We value lots on resale comps rather than stated retail โ condition-adjusted, category by category โ and flag the padding patterns automatically.
"Uninspected returns" hides everything from like-new to landfill. We apply defect-rate priors by category, grade, and seller โ so an electronics-heavy returns lot gets scored like one, not like sealed overstock.
Buyer premium on top of the hammer. Freight that depends on how far the pallet travels, plus liftgate and residential fees. Marketplace fees on the way back out. Your max bid is solved against all-in cost โ what actually leaves your bank account โ not the hammer price you were watching.
CSV or spreadsheet straight from the marketplace. We read every line, resolve the ones carrying a product code, and say plainly which ones we could not price rather than quietly scoring them as zero. Then we haircut by condition. About a minute โ not two hours in a spreadsheet.
1โ100, with the reasoning shown: expected recovery, worst realistic case, break-even day, red flags. The max bid follows one rule: the worst case still breaks even. Above it, walk away.
Check in the pallet with your phone. PalletMath diffs reality against the manifest, timestamps photo evidence, and builds your claim before the window closes. Every check-in sharpens your next score.
Shorted lots and misgraded goods are only "part of the game" if you can't prove them. The receiving scanner logs every discrepancy with timestamped photos and generates a claim report formatted for the marketplace โ inside the claim window, while it still counts.
Because we won't take your money for predictions that haven't proven themselves yet. During beta, every score is logged and measured against what pallets actually recover. When that track record is solid enough to publish, we hard launch and payments begin โ with rates set then, against real numbers rather than a guess, and a permanently discounted rate for beta members. You're not the product in the meantime: your data feeds the community benchmarks as anonymized aggregates only, and being early is what earns the lifetime rate.
At launch: manifests from B-Stock storefronts, Liquidation.com, and 888 Lots โ plus any CSV manifest from other sources. Auction feeds and more marketplaces follow.
Resale comps โ condition-adjusted by category defect rates, then netted against marketplace fees, freight and your own cost settings. Not MSRP. Never MSRP. Straight answer on beta status: the comp vendors are not connected yet, so scores during beta run on placeholder prices and every score says so on its face. We would rather show you the machinery with its provenance labelled than quote a number we cannot source. Live comps are part of what hard launch means.
No. Your buys, sales, and margins are yours. Community benchmarks are built only from anonymized aggregates โ median recovery by storefront and category, seller accuracy rates โ never anyone's individual data.
No โ and be suspicious of anyone who says otherwise. The score is a probability, shown with its worst realistic case, and the max bid is built so that even the bad draw doesn't lose money. We also show you our prediction accuracy as the data grows. PalletMath is decision support, not financial advice.
The beta is open to a small group of active resellers. Bring your next manifest โ leave with a number you can defend.