Founder-led management consulting

Luna Sol

GROUP

OPERATING TRANSFORMATION

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Customer Experience & Logistics

Protect the customer promise across every handoff.

Luna Sol helps organizations connect delivery reliability, service recovery and network flow to the customer experience. We examine the full operating journey, from the original promise to the final resolution.

Representative photography / Unsplash

WHAT WE DO

Connect the business problem to an executable response.

Customer problems rarely stay within a single team. A late arrival can become a capacity problem, a damaged item can expose a packaging weakness, and an unresolved exception can travel through several systems without a clear owner. We trace those paths to distinguish the visible symptom from the operational cause.

The objective is a service system that can prevent avoidable defects, recover when plans fail and make performance visible at the right level. Network, partner and frontline decisions are connected to customer outcomes rather than to isolated activity counts.

Reliability & network flow

Examine promise design, arrival timing, capacity constraints and handoffs. Identify where variability becomes customer exposure and where intervention can still change the outcome.

TYPICAL OUTPUTS

Journey map, constraint analysis and reliability priorities

Defect prevention

Trace damage, loss and service failures to their operating pathways. Reconcile defect definitions and ownership before choosing a prevention measure.

TYPICAL OUTPUTS

Defect taxonomy, cause hypotheses and prevention roadmap

Recovery & customer protection

Design exception routing, remedy rules and escalation ownership. Balance response speed, evidence quality and customer risk when a standard process cannot resolve the issue.

TYPICAL OUTPUTS

Recovery workflow, decision rules and response controls

OUR APPROACH

Diagnose precisely. Design for use. Verify what changes.

A practical sequence, adapted to the operating question and the evidence available.

01

Trace the customer journey

Map the promise, physical flow, information events and recovery path. Identify which transitions create exposure.

02

Diagnose the failure mechanism

Separate reporting artifacts from physical failures. Segment by network, node, partner and customer context before comparing performance.

03

Design prevention & recovery together

Specify the upstream change and the downstream fallback. Assign a decision owner and a measurable response window at each handoff.

04

Verify mature customer outcomes

Test the change against a defined comparison and maturity window. Check repeat contact, delivery outcome and remedy quality before scaling.

EXECUTIVE PROJECT EXPERIENCE

The work behind the approach.

These cases document real work Ryan Miller performed at Amazon in prior executive roles. Each report describes the operating challenge, his contribution and the evidence supporting its conclusions.

17 executive project cases

Representative photograph: A highway at sunset.

Arrival Reliability & Customer Exposure

An anonymized operating case on sizing concession exposure around inbound arrival cutoffs, reconciling package and unit measures, and testing a proposed upstream explanation. It separates reported exposure, causal effect and preventable customer harm.

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Representative photograph: An employee recording information beside stored packages.

Chain-of-Custody Diagnostics

An anonymized operating case on returned shipments: reconciling conflicting driver-identity measures, testing a loading-error explanation, and designing programmatic actions without mistaking a scorecard label for causal responsibility.

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Representative photograph: Customer-service employees wearing headsets.

Customer Recovery & Remedy Design

An anonymized operating case on a proposed exception-recovery mechanism, the limits of last-scan evidence, and the decision rights needed before changing an automated customer remedy.

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Representative photograph: A customer-service employee working at a computer.

Defect Ownership & Service Recovery

An anonymized operating case on an executive loss review: replacing blanket blame with specific remediation, reconciling conflicting performance claims, and defining safeguards for automated customer refunds.

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Representative photograph: A worker operating a wearable scanning device.

Delivery Attribution & Change Control

An anonymized operating case on challenging a defect-attribution narrative, clarifying the underlying event rule and governing a proposed change to the source of accountability. It distinguishes diagnosis, ownership and verified prevention.

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Representative photograph: A package secured with fragile-handling tape.

Delivery Damage Reduction Strategy

An anonymized operating case on a three-action damage-reduction plan: packaging escalation, handling discipline and repack execution. The analysis tests the plan's sizing, operating authority and evidence of customer benefit.

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Representative photograph: A delivery van outside an industrial building.

Delivery Promise Integrity

An anonymized operating case on linking delivery-window grades to concession records, withdrawing an unsupported reporting claim, and designing a capacity decision around the original customer promise.

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Representative photograph: A truck traveling at night.

Late-Delivery Recovery & Action Routing

An anonymized operating case on diagnosing major late-delivery categories, reconciling competing data views and assigning accountable follow-up. It separates a recorded location from current custody, cause and preventable customer harm.

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Representative photograph: Storage aisles in a distribution warehouse.

Loss Prevention Portfolio Design

An anonymized operating case on a peak-season loss investigation, prioritized control proposals and a subsequent management review. The analysis separates physical recovery from reporting changes and tests whether proposed benefits can be added.

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Representative photograph: An aerial view of distribution-center loading bays.

Network Flow & Customer Promise Protection

An integrated operating-programme case that separates stage coverage, physical control, shared service capacity and mature outcomes. It tests whether an added check earns its time and cost.

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Representative photograph: Delivery workers handling goods beside a van.

Operating Performance & Customer Outcomes

An anonymized operating case on explaining divergent loss and concession measures, correcting a volume-weighted recovery plan, and separating accounting identities from causal evidence.

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Representative photograph: A time-series performance chart on a screen.

Outcome Maturity & Decision Timing

An anonymized operating case on measuring delayed outcome reporting, reconciling successive extracts, and turning a maturity estimate into an accountable evidence-release decision.

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Representative photograph: Corrugated packaging dividers.

Packaging Quality & Source Prevention

An anonymized operating-design case tracing damage observations through manual escalation, packaging authority and later shipment outcomes. It evaluates a cross-region operating model and the evidence required to activate it.

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Representative photograph: An open cardboard box.

Recovery Process & Customer Risk

An anonymized analytical case examining whether stronger exception recovery creates downstream damage. It reconciles measurement errors, tests the logic of the historical verdict and designs a prospective customer-safety evaluation.

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Representative photograph: An overview of a distribution floor.

Service Exposure & Capacity Planning

An operating-project case on enabling controlled sort processes across a delivery network. It reconciles rollout scope, measurement coverage and approval capacity, then proposes a test of whether temporary-exception controls protect customer service without delaying other work.

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Representative photograph: An employee using a computer in an operations setting.

Unit-Level Defect Diagnosis

An operating-project case on a concentrated delivery-defect investigation. It separates route volume, planned stops, physical delivery and partner disputes, then defines the evidence and capacity required to test a remedy without changing the customer truth.

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Representative photograph: A conveyor route through an operations facility.

Workflow Analytics & Process Validation

An anonymized analytical case examining a short-duration workflow detector, its audit priorities and its unsupported cost-leak hypothesis. It reconciles event populations and designs a test of verified process improvement.

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START WITH THE DECISION

Where does the customer promise become vulnerable, and who can still act in time to protect it?

START WITH THE OPERATING DECISION

Bring the decision, the evidence available, and the consequence of getting it wrong.

We will tell you where the evidence is strong, where it is only directional, and what must be tested before action.

START WITH THE OPERATING DECISION

Bring the decision, the evidence available, and the consequence of getting it wrong.

We will tell you where the evidence is strong, where it is only directional, and what must be tested before action.

Luna Sol

GROUP

Founder-led management consulting for consequential operating decisions in logistics, mobility, retail, and investor-backed businesses.

© 2026 Luna Sol Group LLC

© 2026 Luna Sol Group LLC

All client and company marks belong to their respective owners.

Luna Sol

GROUP

Founder-led management consulting for consequential operating decisions in logistics, mobility, retail, and investor-backed businesses.

© 2026 Luna Sol Group LLC

© 2026 Luna Sol Group LLC

All client and company marks belong to their respective owners.