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Luna Sol GroupManagement consulting
Start a conversation →Founder-led · Confidential · Evidence-aware
6-minute case studyAdvisory engagement · 2026
PSA logoPSA

From a record grading backlog to a controlled recovery system.

Luna Sol assessed the operating constraint, designed immediate stabilization mechanisms, and developed the capacity, governance, and continuous-improvement roadmap behind recovery.

Evidence checkedOfficial PSA updates plus dated external reporting

Live integration · PSA’s public backlog tracker

≈14mPublic peak · independent reporting
11mJuly 14 position · official PSA
2.50mJune output · independent GemRate
99.4%Success rate · official PSA

Public performance during the engagement period; not presented as solely attributable to Luna Sol.

The visible queue was the symptom. The system around it was the problem.

A 20% submission spike added 1.6 million cards in two weeks. The active backlog approached 10 million, four Value tiers paused, and a final pre-pause influx pushed the queue near 14 million.

Role
Senior operations advisor
Mandate
Stabilize · Design · Govern
Operating lens
Capacity · Quality · Service levels
Evidence standard
Primary + dated external sources

Recovery required more than pushing additional volume through the line.

Leadership had to reconcile intake controls, service-level economics, facilities, staffing, technology, quality, and customer trust—while preparing for latent demand that could return when Value reopened.

The mandate was to identify the active constraint, deploy near-term countermeasures, and create the governance and capacity mechanisms needed to keep reducing the queue without trading away quality.

Three operating pillars connected immediate recovery to durable control.

  1. 01Signal integrity
  2. 02Constraint economics
  3. 03Operating architecture
  4. 04Adoption
  5. 05Control
01

Diagnose and stabilize

Identify the binding constraint, protect throughput, and prevent short-term countermeasures from creating the next bottleneck.

  • Constraint diagnosis
  • Queue controls
  • Near-term countermeasures
02

Build the capacity system

Connect facilities, staffing, technology, service levels, and quality in one decision-grade capacity model.

  • Capacity scenarios
  • Service-level economics
  • Quality guardrails
03

Install control and reopen responsibly

Define owners, thresholds, governance, and latent-demand triggers so recovery decisions remain tied to operating evidence.

  • Executive cadence
  • Trigger framework
  • Reopening roadmap
Signature operating view

Six checkpoints from shock to controlled recovery.

Each point is tied to a dated public source, separating official operating facts from external interpretation.

  1. 01

    Pricing and capacity signal

    PSA announced a $200 million infrastructure commitment and updated service expectations.

  2. 02

    Pause announced

    A 20% demand spike added 1.6 million cards; Value tiers were scheduled to pause.

  3. 03

    Intake control activated

    Four Value tiers closed to new submissions so throughput could attack the active queue.

  4. 04

    Queue peaks near 14 million

    A pre-pause influx pushed the active backlog materially above the initial estimate.

  5. 05

    Recovery becomes visible

    PSA reported approximately 12 million units and a downward trend.

  6. 06

    11 million checkpoint

    Output accelerated while PSA reported a 99.4% operational success rate.

Working decision tool

PSA Recovery Digital Twin

Adjust demand, capacity, utilization, quality loss, aging work, surge capacity, and productivity assumptions to test the recovery mechanics.

Launch the model
View the portfolio timeline artifactOpen +
Six-stop PSA operating timeline from May 14 through the July 14 backlog update
Downloadable artifact

The complete operating timeline.

A 1080-pixel editorial timeline for executive review and portfolio use.

Download PNG
Inspect the sanitized decision artifactsOpen +
01Sanitized portfolio reconstruction

Constraint tree

Decision supported
Where to intervene first
Inputs
Queue, intake, cycle-time, quality, staffing
Analysis
Causal decomposition
Output
Binding-constraint hypothesis
Leadership use
Align the stabilization sequence
02Sanitized portfolio reconstruction

Capacity + recovery model

Decision supported
What recovery path is feasible
Inputs
Demand, rated capacity, utilization, rework
Analysis
Flow and sensitivity modeling
Output
Burn rate, capacity gap, threshold date
Leadership use
Compare countermeasures and risk
03Sanitized portfolio reconstruction

13-week stabilization roadmap

Decision supported
How to govern execution
Inputs
Workstreams, owners, triggers, dependencies
Analysis
Critical-path and control design
Output
Milestones, KPIs, escalation cadence
Leadership use
Run weekly executive governance

Portfolio reconstructions communicate the work structure without exposing client-confidential inputs, analysis, or internal documents.

One engagement. Two distinct evidence layers.

Engagement scope

What Luna Sol delivered

  • Current-state operating assessmentLuna Sol deliverable
  • Constraint and causal analysisLuna Sol deliverable
  • Capacity and flow modelLuna Sol deliverable
  • Immediate stabilization countermeasuresLuna Sol deliverable
  • KPI and governance architectureLuna Sol deliverable
  • Long-term operating roadmapLuna Sol deliverable
Outcome context

What PSA publicly reported

  • ≈14m → 11mBacklog arcPublicly reported · official + independent
  • 2.50mJune grading volumeIndependent market report · GemRate
  • >10%Output above prior monthly highPublicly reported · official
  • 492.9kCards graded July 1–6Independent market report · GemRate / SI
  • 99.4%Operational success ratePublicly reported · official

Attribution: These figures represent publicly reported PSA performance during the engagement period and reflect the broader work of PSA leadership and operating teams. They are not presented as solely attributable to Luna Sol.

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