Industries
Data and AI for logistics
Logistics data comes from dozens of carriers in dozens of formats. We turn it into one picture of the fleet and an AI agent that warns about delays before they cost money.
Which containers will miss the transshipment?
The agent combines real-time AIS ship data with factors such as weather and port congestion, and flags the containers at critical risk of missing their transshipment window.
From the same screen the team sees the detailed breakdown and triggers the recommended action: optimise the route or notify customers.
Problems we solve in logistics
37.6k
No big picture of the fleet
One control tower for 37.6k containers, built from inconsistent carrier logs.
2.55k
Dirty manifests
Quality filters that recovered 2.55k orders and keep alerting about duplicates and empty invoice numbers in production.
03
Delays found too late
Delay prediction from AIS and weather data, with risk scoring for every container.
100%
Routes that keep lagging
Automated ETA deviation analysis for every route and carrier.
Start with
Questions buyers ask
Our data comes from many carriers. Where do you start?
With data quality: one schema, quality filters and monitoring. AI comes after the data can be trusted.
Can the agent act on its own?
It recommends actions; your team triggers them from the dashboard.
Let's talk about your project
Tell us about your case
Pick one problem.
Show us the data you have.
Let's agree a measurable goal.
Name the process and the data you have. An engineer, not a call centre, gets back to you.
We reply within one business day.