DenmarkLogistics and transport2023 – ongoing

Molslinjen

AI analytics toolbox for ferry pricing and capacity

Danish ferry operator earns 15-20 million DKK a year more and cuts fuel use 3% with AI

WorkingVendor's case studyVendor ↗

Problem

Molslinjen wanted dynamic pricing on more of its fleet and better demand forecasts for loading. Model tuning was manual and the forecast engines did not scale.

Approach

With the AI firm Halfspace, it built a toolbox on Azure Databricks to run pipelines and update pricing and demand models. A capacity module and Power BI on phones help staff load ferries; the project began on one route.

Results

15-20 million DKKAdditional earnings per year (about $2.6-3.2 million)Vendor's case study[1]

3%Reduction in fuel consumption and emissions in 2023 (about 5,000 tons of CO2)Vendor's case study[1]

Takeaway

Molslinjen began with one route and used pricing and demand models to help staff load ferries. Microsoft did not say how the earnings and fuel savings were measured.

Sources

Molslinjen customer story
Microsoft16 Sep 2024Vendor publication

Source summaries

[1]Microsoft16 Sep 2024

Microsoft describes Molslinjen's Azure Databricks toolbox for ferry pricing and capacity. It reports added earnings and lower fuel use. The company runs 21 ships and has over 15 million guests a year.

Full details are in the original sources.

Added 25 Oct 2026 · Updated 25 Oct 2026