Operational Decisions Backed by Evidence
Each recommendation includes:
- — What triggered it
- — Which routes or customers are affected
- — The evidence table behind it
- — A conservative impact estimate
- — Explicit assumptions
- — A measurable follow-up plan
No vague advice. No generic dashboards.
Example Action Detail Block
Restore Route Density
Trigger: Density below baseline + margin deterioration
Confidence Matrix
High
Density Drift Evidence
Baseline Density (Stops/RunDay)24.5
Current Density (Stops/RunDay)21.2
Labor % of Revenue34%
Affected Routes4 (NW Sector)
Assumption Statement
Assumes stable demand and no structural territory changes in the NW sector over the baseline comparison period.
Impact Estimate
$120k–$160k
Conservative projection based on labor cost relationship to stops/day.
Measurement
Stops/hour increase next month.