Predictive Freight Budgeting v2.4 Stochastic Engine

3-Scenario Risk Matrix & Monte Carlo Simulation Sandbox

Monte Carlo Engine Ready (1,000 Runs)
Quick Scenario Presets:

Supply Chain Driver Parameters

Adjust macroeconomic variables to stress-test your freight budget
15%
5% (Stable) 25% (High) 40% (Extreme)
$4.20/gal
$3.00 $4.75 $6.50
85%
60% (High Spot) 80% (Average) 98% (Optimal)
Annual Freight Volume: CBM

🟢 Optimistic Scenario

Favorable Market

Low fuel surcharge ($3.2/gal), high routing compliance (95%), minimal spot freight exposure.

Total Annual Freight Budget
$0
Cost per Cube: $0 / CBM
Assumed Fuel: $3.20/gal
Carrier Acceptance: 95%
Spot Reliance: Low (5%)

🔵 Base Scenario (Expected)

Baseline Target

Standard diesel fuel ($4.2/gal), standard tender acceptance (85%), balanced spot market mix.

Total Annual Freight Budget
$0
Cost per Cube: $0 / CBM
Assumed Fuel: $4.20/gal
Carrier Acceptance: 85%
Spot Reliance: Moderate (15%)

🔴 Pessimistic Scenario

Stress Test

Diesel surge ($5.8/gal), low compliance (65%), heavy reliance on spot premiums & expedited fees.

Total Annual Freight Budget
$0
Cost per Cube: $0 / CBM
Assumed Fuel: $5.80/gal
Carrier Acceptance: 65%
Spot Reliance: Heavy (35%)

Monte Carlo Risk Confidence Percentiles

Empirical distribution outcomes from 1,000 stochastic model runs

Model Iterations: 1,000 Runs
P10 Confidence (Best 10%) Optimistic Min
$0

90% chance actual spend will exceed this floor.

P50 Confidence (Median 50%) Expected Mid
$0

50% probability budget lands above or below.

P90 Capital Reserve At-Risk Max
$0

Recommended board-approved budget cap (90% confidence).

Required Contingency Buffer Δ (P90 - Base)
$0

Unforeseen risk reserve needed above baseline.

Monte Carlo Probability Distribution Curve

Budget Outcome Frequency Histogram across 1,000 iterations

P10 P50 P90

12-Month Cumulative Freight Budget Trajectory

Cumulative monthly cash flow projection across macro scenarios

Jan → Dec Run-rate

Scenario Cost Component & Mode Sensitivity Matrix

Freight Profile: Linehaul + Fuel + Spot Penalties
Cost Component / Metric 🟢 Optimistic 🔵 Base (Expected) 🔴 Pessimistic 🎲 Monte Carlo P90
Primary Contract Linehaul $0 $0 $0 $0
Spot Market Expedited Surcharge $0 $0 $0 $0
Fuel Variable Surcharge $0 $0 $0 $0
Total Projected Annual Spend $0 $0 $0 $0
Cost per Cube ($/CBM) $0 $0 $0 $0
Variance vs Base Budget 0% 0.0% (Baseline) 0% 0%
← GHIL·LABS / LOGISTICS
© 2026 GHIL LABS — A BRAND OF WAYPRIME LLC · ILLUSTRATIVE DEMO · SAMPLE DATA ONLY