Supply chain & logistics
Freight rate forecasting
Forecast spot and contract transportation costs by lane, mode, equipment type, and booking window.
Sound familiar?
- Transportation budgets set months before the market moves
- Spot exposure discovered in the invoice, not in the plan
- Contract timing decided on anecdote instead of a forecast
Freight cost
$ / load · Live forecast
Driver
Fuel price
Driver
Lane capacity
Driver
Congestion
Forecast horizon
1–26 weeks
Refresh cadence
Daily or weekly
Built for
Transportation procurement · Logistics
What you can predict
One forecast can answer several operational questions.
Combine historical rates with capacity, fuel, congestion, seasonality, tender acceptance, vessel or truck availability, and macro demand to plan transportation spend.
Rate by lane and mode
Spot-market exposure
Transportation spend
Capacity premium
Questions teams need answered
- Which lanes are likely to become more expensive?
- When should capacity be contracted?
- How much budget is exposed to spot rates?
- Which market signal explains the change?
Data that can improve the forecast
Start with the history you already have. Add internal or external drivers only when backtesting shows that they improve the forecast on held-out periods.
What-if planning
Test a change before committing to it.
Compare a proposed change with the current baseline. See the expected direction, timing, range, and the assumptions behind the result.
Fuel prices increase
Recalculate rate and spend forecasts by lane
Shift volume between modes
Compare cost, capacity, and transit time
Freight cost
$ / load · Scenario comparison
What if
Fuel prices increase?
Driver
Fuel price
Driver
Lane capacity
Driver
Congestion
From forecast to action
Keep the people making the decision in the loop.
01 · MONITOR
Forecast continuously
Refresh freight cost on a daily or weekly cadence as new data arrives.
02 · NOTIFY
Alert on meaningful changes
- Projected rates exceed budget
- Spot exposure rises above policy
03 · DECIDE
Put the result to work
From the handbook
How the forecast is actually built.
Guide
Lead time forecasting
Suppliers, customs, labs, and work orders all have a duration. That duration moves. Forecasting lead time is how you stop treating '14 days' as a constant in an MRP that has not been true since March.
Guide
What is demand forecasting?
Demand forecasting estimates how much of a product or service people will want in a coming period, so you can buy, staff, and price before the rush — not after it has already walked in.
Guide
Time series forecasting, explained
Time series forecasting predicts the next values of something that was recorded in order — sales by day, load by hour, tickets by week — by learning from its own past, and from anything that regularly moves with it.
Build a freight rates forecast with your data.
Start with sample data, connect your own history, or talk with us about your target, horizon, and production requirements.