Audits FedEx and UPS invoices for late-delivery refunds, surcharge errors, and dimensional-weight mistakes, then files claims; charges $149/mo or takes a recovery share from e-commerce brands and small 3PLs. · Logistics spend optimization
DEAD SLOW · CAUTIOUS
5.6 ShipScore / 10
Automated recovery model is strong on time; entry is weak against funded, cloneable rivals.
Condition: Only proceed if pilot brands recover well over $149/mo and carriers honor automated claims.
Part I — The Verdict what the instruments read
01 — The ShipScore breakdown
Control
5
C5: depends on FedEx/UPS invoice access and carrier refund policies.
Entry barriers
3
E3: Freehand.ai's $75M raise and open-source DIM scripts crowd the lane.
Need
6
N6: established paid category; corpus shows no verified MRR or Reddit demand.
Time-freedom
8
T8: invoice parsing and claim filing automate well after setup.
Scale
6
S6: global e-commerce reach, but only two US-centric carriers in scope.
What the five commandments measure
C — Control
Do you own the customer, or does a gatekeeper stand between you and revenue?
E — Entry
How hard is this to copy once it works? A rival's existence isn't the question — the durability of their advantage is.
N — Need
Is demand proven with money rather than vibes?
T — Time
Can income detach from your hours, or did you buy yourself a job?
S — Scale
How far does it reach without linear cost?
Scored on the evidence below, against CENTS as we've adapted it plus a Buffett-style moat reading of every rival — the same referee for every idea, including the ones we generate ourselves. The verdict follows the arithmetic: we never relabel a score to make it read better, and the weakest commandment is always named. The exact rubric stays in-house so the scale can't be written for.
02 — The pace test — $1M/yr
At $149/mo (assumed category price), you need 560 subscribers for a $1M/yr pace.
No tracked rivals with verified revenue to benchmark against.
Part II — The Evidence the receipts, good and bad
03 — Rival scan
No similar products found in the radar corpus — either genuinely novel, or too small to track.
Freehand.ai — $75M raise and a claimed $260M+ saved can outspend you on sales and AI.
BillBlink — Already ships 3PL/DIM-weight audits with dispute packs aimed at your 3PL buyers.
Indie/open-source DIM-weight refund scripts — Free tools make basic refund detection a commodity and push prices down.
04 — Demand evidence
X chatter treats carrier DIM-weight and accessorial errors as a known, recurring pain.
X traction claims for Freehand and others are unverified.
Scores judge the market and business model — not your ability to execute. Verified MRR = independently tracked revenue; reviews/upvotes = platform-reported. Judged 2026-10-08.
08 — The wedge & the next step
Flat-fee DIM-weight and surcharge audits for small 3PLs that funded players ignore.
Cheapest next step: Manually audit 3 months of invoices for five Shopify brands and measure recoverable dollars.
Not quite it? Spin the model
Business-model variations of this idea, engineered to beat 5.6 — different vertical, audience, model, or wedge. Same harsh scale. Pro feature.
One evidence-backed gap a day, free
Close — but conditional. Every morning the engine files one mined gap, scored on the same harsh scale as this one. Free at 7am AEST, unedited.
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