Cost-to-serve tracker — $38 → $12
Stage 6 · Analytics, Refinement & Efficiency
P1Expansion
Four-Lane View
Software Function
- ›Cost per load computed continuously: ops staff, support touches, exceptions, platform cost / loads Human-touch rate per load (the automation KPI); crossover tracking vs the 39,500-load break-even Contribution margin by load/lane/client against the 88.5% → 98.1% curve
Service Provider / Admin
- ›Leadership sees the ONE metric that is the software’s entire value — is the curve bending?
- ›Every new feature justified by touch-reduction or margin math
User — Driver / IOO
- ›Automation dividends visible: faster payments, fewer calls, instant answers
Customer — Client / FF / NVOCC
- ›Falling cost-to-serve funds flat published fees — efficiency returned as price stability, stated in CLIENT/FF/NVOCC QBRs
Software Function
- ›Cost per load computed continuously: ops staff, support touches, exceptions, platform cost / loads Human-touch rate per load (the automation KPI); crossover tracking vs the 39,500-load break-even Contribution margin by load/lane/client against the 88.5% → 98.1% curve
Competitors
Brokers don’t track this (their $38 is flat forever — more loads, more humans). It’s the structural difference, so no vendor sells it.
Differentiation
The deck’s Finding 2 as a living dashboard: revenue grows 12.5×, cost-to-serve grows 2×. This screen is what the Series A gets shown.
Make It Better
Cost per load reported monthly like a public company KPI — the discipline that proves we’re a software company that moves freight, not a broker with an app.