Core Principles
YardFlow's economic model is built on three non-negotiable principles:
- Defensible timestamps - All savings derive from measurable cycle time improvements with immutable audit trails
- Conservative assumptions - We model base case scenarios, not best case outcomes
- Transparent formulas - Every calculation is reproducible and auditable
Variance Tax: Eight Cost Categories
The Variance Tax represents the invisible operational costs buried in your P&L. These are real dollars lost to unpredictable operations, but they rarely appear as a line item. We model eight distinct categories:
1. Detention & Disputes
$50-200 per occurrence. Based on industry avg detention rate of 8-15% of loads, avg dwell time 45-90 min.
2. Missed Cutoffs & Expedites
$500-2,000 per event. Modeled from premium freight rates and opportunity cost of delayed shipments.
3. OT & Labor Volatility
$15-45/hr premium. Calculated from unpredictable arrivals requiring staffing buffers or rush scheduling.
4. Trailer Hunt Time
8-15 min per move. Productivity loss from manual searches, radio calls, and yard walks.
5. OTIF Chargebacks
$100-500 per miss. Penalties from retail customers when root cause cannot be proven defensibly.
6. Overflow Yards & 3PL Surge
$200-800 per trailer/day. Cost of external storage when throughput constraint appears (but is not real).
7. Safety & Claims Exposure
$5K-50K per claim. Incidents from poor visibility, geofencing gaps, and ad-hoc coordination.
8. Working Capital Buffers
3-7% tied capital. Extra inventory and trailer pools held "just in case" due to flow unpredictability.
ROI Model Components
Labor Savings
- Gate automation: 2-6 FTE per facility (based on shifts, volume, and automation share)
- Dock office efficiency: % of time spent on driver process × time savings share
- Guard automation: % of manual gate tasks eliminated
Detention Savings
- Baseline: % of transport budget allocated to detention
- Reduction: Cycle time improvements (5-15 min per check-in/check-out)
- Dispute resolution: Defensible timestamps reduce claims 15-30 min over threshold
Throughput Value
- Theoretical capacity gain: (Baseline cycle / Improved cycle) - 1
- Realized share: Conservative % of theoretical gain actually captured (typically 10-30%)
- Value: Incremental outbound shipments × margin per truck
Paperless Savings
- Pages per shipment: BOL pages + other documents
- Cost per page: Printing + storage + retrieval
- Phase 1 savings: % digitized in initial rollout (typically 50-70%)
Network Effects: Metcalfe-Inspired Model
Network effects are real but overhyped. Our model is conservative and data-driven:
Canonical Formula
M(n) = 1 + β × (C(n)/C₀) × R(n)- M(n): Value multiplier for n facilities
- β: Network strength parameter (0.004 base case)
- C(n): Possible connections = n(n-1)/2
- R(n): Realization curve = 1 - e^(-n/τ), where τ = 45
Key Constraints
- Minimal until 10+ facilities: Network effects don't kick in at 2-5 sites
- Gradual realization: Maturity curve prevents instant multipliers
- Conservative β: 0.004 means modest gains (1.08x at 25 facilities, 1.15x at 100)
- Four value streams: Predictive intelligence, carrier benchmarking, coordination efficiency, shared learning
Validation & Industry Sources
All assumptions are benchmarked against:
- CSCMP State of Logistics reports (detention trends, cost benchmarks)
- FreightWaves SONAR data (dwell times, capacity utilization)
- Industry whitepapers on yard automation ROI (Aberdeen, Gartner, ARC Advisory)
- Customer pilot data (anonymized, aggregated)
Important: All modeled outcomes are directional and illustrative. Actual savings depend on facility-specific variables: current state maturity, process standardization, integration complexity, and change management execution. Use YardFlow's diagnostic tools to calibrate assumptions to your operational reality.