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AI routing

Four objectives, four different answers.

The same shipment routes differently depending on what you optimise for. Pick an objective and watch the recommendation move.

Bursa → München · 2,500 kg

Rail via Köseköy → Duisburg

Cost
€920
Transit
8–10 d
kg CO₂
52

Rail sits closest to the middle on all four axes: 26% cheaper than road, about a third faster than sea, and 63% less CO₂ than road. Block trains leave Tuesday and Friday, so the departure window is the real constraint.

  • Cost81 / 100
  • Speed56 / 100
  • Carbon91 / 100
  • Reliability86 / 100

A worked example on one lane. The optimiser runs against a shipment you have entered, so the figures here illustrate what changing the objective does — they are not a route for your consignment.

Why a model, and not a spreadsheet

Seasonal price movement

Road rates on this corridor move with the season, from the February trough to the December peak. A quote taken in one month is a poor guide to the next.

Border congestion

The wait at Kapıkule changes with the hour and the day. A route that looks fastest on paper loses to the gate queue.

Carrier reliability

On-time history differs by carrier and by lane. The cheapest quote from a carrier that misses its window is not the cheapest shipment.

Routes are modelled, not measured. Distance, duration and CO₂ carry an estimate label everywhere they appear in the product.