Know-how for a profitable network.
Practical guides, product materials, and on-demand webinars from the team building the intelligence layer for logistics.
Whitepapers
How many trucks between each hub pair next week? A validated approach that forecasts weekly truck counts per corridor to within one truck (~95% accuracy) and embeds them in planning.
Where truck–train–truck beats truck-only: +47% profit per working hour on the right corridor, +8.2% network-wide, ~222 t CO₂ avoided a year – and how to target swap-body investment.
Forecast-driven capacity planning at a Bulgarian forwarder: 13% lower transport cost, 1,022 fewer trips, 128,701 fewer km – plus an operating model you can copy.
Webinars – watch the recordings
How mid-sized road carriers can put AI and big-data analytics to work on everyday fleet decisions without a data-science team.
Data and technology for container fleet management: utilisation, idle time and repositioning, discussed with practitioners.
A compact introduction to where AI pays off in logistics operations, what data you need, and how to start.
A joint session with IBM on applying AI to planning and network operations in logistics.
From forecasting theory to real deployments: what works, what breaks, and how to make forecasts operational.
How AI-driven transport planning improves capacity utilisation, presented together with IBM.
Prefer to see it on your data?
Book a 30-minute demo and we will walk your network – using a slice of your own data.