Financial analysis · adoption-ready estimate

CarrierCard - Weekly Performance Scorecards for Freight Brokers

If an entrepreneur "adopted" this product today, here's the realistic math.

Fermi summary

Get 80 freight brokers at $120/mo and you're at $115k ARR - but a 13% shot at that means your expected year-1 return is roughly negative $23k after build costs, so this only makes sense if you're already deep in the freight broker world and can sell it fast.

Market size (TAM)

$10.8M

~6,000 US freight brokerages with 10+ active carrier relationships × $1,800/yr avg SaaS spend for carrier analytics tools

Year-1 ARR range

$28k - $340k

midpoint $115k

Gross margin

80%

Investment to production

$38k

Dev: $18k for TMS integrations (McLeod, Rose Rocket, Turvo), carrier data ingestion pipeline, PDF scorecard export. Marketing: $12k for outb

Probability of success

13%

P(reaching mid case in 12 months)

Expected take-home Y1

$-23000

probability-weighted, after investment

Go-to-market motion

Outbound LinkedIn DMs to freight broker owners/ops managers → free 30-day trial with one real carrier dataset → $99-$199/mo per broker, upsell to carrier-facing 'report card sharing' feature.

Key risks

Manual data entry death spiral: brokers won't rate carriers weekly without automated pulls from their TMS, and most TMS APIs are expensive or require broker IT involvement - killing adoption before it starts
Nice-to-have positioning in a cost-cutting market: freight brokerage margins compressed badly in 2023-2025 soft cycle; software that doesn't directly generate revenue gets cut first
Carrier scorecards already exist inside McLeod, MoLo, and enterprise TMS platforms - the prospect's first objection is 'we already have this in our TMS'

Generated by the Wishdeal Factory financial-analysis agent. Numbers are honest Fermi estimates, not guarantees. Real outcomes depend on the operator. The studio is bullish on the engineering quality, agnostic on the business outcome.