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Luna Sol GroupManagement consulting
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Prior operating experience · Not a Luna Sol client engagement

Global last-mile transformation at Amazon scale.

Before founding Luna Sol, Ryan led operating-system, delivery-partner, capacity, and network-economics work across North America, Europe, and Japan. The three retrospectives below describe that prior executive operating experience—they are not Luna Sol Group client work, and the figures are not attributable to Luna Sol’s advisory practice.

Prior executive retrospectives

Three operating problems.
Three durable corrections.

Each retrospective follows the same structure Luna Sol uses today: the operating reality, what was actually done, and the measurable result.

Global delivery economics$25M

A quality failure reframed as a network-value problem.

A legacy labor model under-allocated pre-route and post-route work. Dispatch slipped, rescue activity increased, and driver retention suffered—yet the issue continued to be treated as field execution rather than a planning defect.

Time-motion studies across 15+ station archetypesA financial bridge linking planning error to dispatch, defects, rescue cost, and retentionThe business case rebuilt through three ownership transitionsVP-level approval and embedding into the standing planning cycle
validated annual cost avoidance
Measurement integrity1,200 bps

A 44% reporting gap exposed and corrected.

A removed accountability metric and blanket exemptions had created a 44% gap between reported and actual execution. Leadership was making network allocation decisions on distorted signals without knowing it.

Audited completion, quality, compliance, exemption, and classification logicQuantified a 1,200 bps hidden degradation between reported and actual performanceDesigned tiered weather governance and corrected measurement logicRebuilt trust directly with delivery partners after the correction
hidden degradation quantified
Peak surge readiness92%+

Record volume absorbed without incremental headcount.

A historic fleet transition, weather volatility, record volume, and a headcount freeze created a peak-season problem that could not be solved by adding analysts or managers.

Built AI-assisted defect attribution and executive reportingSeparated structural root causes from behavioral execution gapsTargeted coaching across 290 delivery partnersHardened routing, fleet, and weather governance for the following peak
service compliance
Measured outcomes

Reported results from prior Amazon operating work.

These figures belong to Ryan’s prior operating context and are kept separate from Luna Sol client outcomes.

$25Mannual cost avoidanceGlobal delivery economics
1,000+stations affectedGlobal delivery economics
5%YoY defect reductionGlobal delivery economics
817 bpsperformance recoveredMeasurement integrity
$1M+annual cost protectedMeasurement integrity
18M+packages reclassifiedMeasurement integrity
92%+service compliancePeak surge readiness
1,923 bpsrouting improvementPeak surge readiness
33→ 95%+field engagementPeak surge readiness

These retrospectives describe Ryan Miller’s prior employment at Amazon, not a Luna Sol Group engagement. Figures are anonymized where appropriate and reflect the collaborative work of Amazon operating teams and leadership, not solely Ryan’s individual contribution. Amazon is referenced for prior-experience context only; all marks belong to their respective owners.

Why this page exists

Operator credibility, kept separate from client claims.

The three flagship engagements on the homepage are Luna Sol client work. This page is background—the operating pedigree behind the method, not a fourth case study.

Luna Sol keeps these deliberately distinct: a prospective client should never have to guess whether a number on this site came from a paid engagement or from Ryan’s own career history.

  • 01Role
    Global last-mile executive operator
  • 02Benchmark
    103.8 TPH manual-sortation benchmark
  • 03Program
    DSP 2.0 partner-model redesign, co-developed