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PROCUX AI Route Optimization

4 criteria. 4 modes. 1 optimal route.

PROCUX multi-agent AI system analyzes cost, speed, reliability and carbon footprint to suggest the best route for your shipment.

Select Optimization Criteria

Demo results for Istanbul → Hamburg, 2 tons textile cargo

Istanbul, TRHamburg, DE2,000 kg | Textile
RailRecommended
92
points
Road
78
points
Sea
72
points
Air
45
points

* Demo data. Real prices and times are fetched from live carrier APIs.

4 ML Models, Continuously Learning

Learns from every shipment to improve prediction accuracy

Delay Prediction

91% accuracy

Analyzes carrier history, seasonality, weather and border congestion to calculate delay risk.

Price Forecasting

87% accuracy

Freight price forecast for 30/60/90 days ahead. Spot vs contract price comparison.

EDD Calculator

93% accuracy

Estimated Delivery Date — includes border wait, customs and transfer times.

Carrier Scoring

89% accuracy

On-time delivery rate, damage history, price consistency and customer satisfaction score.

How AI Route Optimization Works

01

Data Collection

Carrier prices, transit times, border waits, weather

02

Analysis

PROCUX multi-agent system evaluates 4 criteria in parallel

03

Scoring

Each route option receives ML score from 0-100

04

Recommendation

Highest-scoring route is presented as "Recommended"

Data Sources Used in AI Optimization

Live carrier prices (50+ APIs)
Border gate wait times
Seasonal pricing trends
Carrier performance history
Weather and natural disaster data
Customs duty rates (EU)
GLEC v3.0 emission factors
Holiday/vacation calendar data

Discover your optimal route with AI

Create your first shipment — 4 modes, 4 criteria, 1 optimal route.

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