Why Prepvia
The Metrics That Decide If a Business Scales or Stalls
The logistics model you choose directly affects monthly profit, revenue velocity, cost behavior at scale, expansion capability, operational workload, and long-term business valuation. This is especially true for Amazon-first operations where inbound speed, shipment creation time, prep execution, and error control directly affect how fast inventory becomes sellable. The table below compares four logistics models and shows which one removes the most growth bottlenecks.
What This Comparison Measures
Monthly Profitability
How logistics affects margins, fees, rework, and monthly net results.
Cycle Speed
How fast inventory moves from arrival to ready-for-sale.
Revenue Velocity
How quickly inventory turns into revenue after it enters your logistics flow.
Cost Behavior at Scale
How costs grow with volume, including labor dependency, inbound fees, storage billing, and error handling.
Expansion Capability
How easily the operation can grow without breaking execution.
Operational Workload
How much coordination, firefighting, and manual work growth requires.
These metrics are not driven by marketing. They are driven by execution.
The index below measures execution mechanics that affect Amazon FBA prep performance, ecommerce fulfillment speed, and logistics automation maturity.
Logistics Growth Speed Index
| Criterion | DIY | Own Warehouse | Traditional 3PL | PrepVia |
|---|---|---|---|---|
Prep Execution Speed | ||||
End-to-End Logistics Turnaround Time | ||||
Time to Create Amazon FBA Shipments | ||||
Placement Fee Advantage for Amazon FBA | ||||
Receiving Turnaround Time | ||||
Inbound Receiving and Inspection Cost | ||||
Accuracy Rate and Error Control | ||||
Capacity Output Units per Hour | ||||
Peak Volume Handling | ||||
Scaling Without Hiring | ||||
Workflow System Maturity | ||||
Freight Integration API-Driven | ||||
Prep Cost Efficiency | ||||
Freight Cost Efficiency | ||||
Storage Billing Model (Daily vs Monthly) | ||||
Physical Storage Capacity | ||||
Geographic Footprint (Locations) | ||||
SLA Consistency | ||||
Exception Handling Speed | ||||
Time to Onboard and Go Live |
Total Growth Score
Based on 20 criteria, max score 100
Two honest trade-offs are visible:
- Traditional 3PL scores higher on physical storage capacity and geographic footprint
- PrepVia is optimized for velocity and execution, not long-term idle storage or multi-location sprawl
99.9%
Shipment Accuracy Rate
All disputed cases resolved in seller's favor
- Amazon SPN verified provider
- Meets Amazon infrastructure standards
- Operational excellence certified
How Scoring Was Assigned
Click on each criterion to see the detailed explanation for how each model was scored.
Method Notes and Data Integrity
Transparent methodology for reliable insights
No Fake Precision
This index is built to avoid fake precision.
Typical Operating Conditions
Scores represent typical operating conditions at scale.
Market Reality Scoring
Where a factor varies widely, scoring reflects common reality across the market.
Explicit Trade-offs
Two explicit trade-offs are included: storage capacity and geographic footprint.
Growth Bottlenecks
The purpose is to make growth bottlenecks visible quickly.
Practical Insights
Not to publish perfect dollar values, but actionable insights.