Freight Rate Forecasting for a Lithuanian Forwarder
The forwarder quotes a trip on last week's rate and books the truck at the last minute. By then a shortage on the lane has pushed the price up, and the margin is gone. A late arrival adds a penalty on top. The client is a freight forwarder in Lithuania. In its words, it wanted a system that predicts where trucks will run short, where prices will rise and where loads will be scarce. Hygge built freight rate forecasting by lane on the forwarder's own trip history and freight exchange data. Routing weighs more than 9,000 road segments by traffic, weather, accidents and fuel stops, and a driver app opens the route in one tap.
Are You Quoting Next Week's Trips on Last Week's Rates?
Bring your five busiest lanes to a 30-minute call with a Hygge architect. You see what a rate and shortage forecast for them would show, and which data you already have for it.
Where a Forwarder's Margin Leaks
The forwarder buys capacity every day and carries the risk when the market moves.
Trips Priced by Feel
Quotes start from last week's rate. A sudden jump on the exchange eats the margin before the truck leaves.
Trucks Gone Before You Book
A shortage on a lane shows up when the last trucks are already the most expensive ones.
Penalties for Late Arrival
A truck that reaches the delivery point after its window turns a profitable trip into a fine.
Data Scattered Everywhere
Trip history sits in the ERP and prices on the exchanges. The rest hides in emails and websites the team has no time to read.
The Challenge
The forwarder works through subcontractors and freight exchanges. Its costs follow a market that changes every day. Trips are priced by feel, and late arrivals carry penalties. The data to see the market coming already exists. It sits across the ERP, the exchanges and public sources, and the team has no hours to put it together for every quote.
In the client's words: predict where trucks will run short and where prices will rise.
Our Solution
Hygge built a model that forecasts spot rates and truck shortages by lane. Its inputs meet in one vector database. They include ERP trip history, exchange prices and postings, partner APIs and public data collected with AI help. Routing weighs more than 9,000 road segments by traffic, weather, accidents and fuel stops. An Android app gives the driver the optimised route in one tap, and managers plan trips and subcontractor bookings on one board.
A forecast model on one data store, tested on the forwarder's own lanes, with routing for the office and the driver.
How Freight Rate Forecasting Solves It
Each part answers one of the leaks above.
Spot Rates Forecast by Lane
A model estimates where rates on each lane are heading, so quotes start from the expected market price.
Shortages Flagged Early
Truck capacity forecasting flags lanes that will run short while trucks are still available at a normal price.
One Store for Every Source
ERP trip history, exchange prices, partner APIs and collected public data land in one vector database the model reads.
Routes That Protect the Delivery Window
Routes weigh traffic, weather, accidents and fuel stops. The risk of missing the window shows before the truck leaves.
One Tap for the Driver
An Android app gives the driver the optimised route in one tap.
A Planner Board for Managers
Trips, forecasts and suggested subcontractor bookings sit on one board.
What Runs Without Anyone Pressing a Button
The steps the system runs for each new load.
Load Comes In
A new order arrives from the ERP with its pickup, delivery point and window.
Market Checked
The forecast shows the expected rate and truck supply on that lane.
Route Built
The optimiser plans the route around traffic, weather and fuel stops.
Shortage Alert Sent
When shortage risk on a lane rises, managers get an alert while trucks are still available.
What the System Gives the Forwarder
What the forwarder works with, each part tied to a leak above.
Spot Rate and Shortage Forecast
Road Segments Weighed per Route
Fuel on a Route That Used 77
To Plan a Trip
The Services Behind the Forecasting System
Python
Scikit-learn
PyTorch
Pgvector
Airflow
Mapbox
Kotlin
React
PostgreSQLHow the System Was Built
Data Store
Forecast Model
Route Optimisation
Driver App and Planner Board
Industries We Serve
Industries where freight forwarding software has to keep up with prices that change every day.
Logistics & Warehouse Automation
Operator interfaces for autonomous fleets, industrial integration and systems rebuilt without taking a working site offline.
Solutions Behind the Forecasting System
The Hygge solutions this build draws on.
Business Intelligence & Reporting
Spot rate and truck shortage forecasts by lane, built on the forwarder's own trip history.
Inventory & Fleet Management Software
Trips, routes and subcontractor bookings planned on one board, with a driver app.
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Freight Rate Forecasting: Questions Buyers Ask
How does freight rate forecasting work?
Can you predict truck shortages on a lane?
How does route optimization lower fuel costs?
What data do we need to start?
Do drivers need training?
Can the forecast plug into our ERP?
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