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

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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