Supply chain & logistics
Shipment volume forecasting
Forecast inbound and outbound volume by lane, facility, customer, and mode before capacity is committed.
Sound familiar?
- Capacity bought at spot prices because volume showed up unannounced
- Docks overwhelmed on peak days and idle the rest of the week
- Promotions that hit the network before anyone told logistics
Shipments
shipments / day · Live forecast
Driver
Orders
Driver
Bookings
Driver
Customer schedules
Forecast horizon
1–12 weeks
Refresh cadence
Daily
Built for
Transportation planning · Network operations
What you can predict
One forecast can answer several operational questions.
Bring together orders, bookings, customer schedules, promotions, calendar effects, and network constraints to anticipate volume across the logistics network.
Shipment count by lane
Weight and cube
Facility throughput
Mode and carrier demand
Questions teams need answered
- Where will volume exceed booked capacity?
- Which lanes need extra coverage?
- How will a promotion affect the network?
- What is the likely peak-day range?
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.
A port closes for three days
Show displaced volume and recovery time
Shift volume to another carrier
Compare capacity risk across lanes
Shipments
shipments / day · Scenario comparison
What if
A port closes for three days?
Driver
Orders
Driver
Bookings
Driver
Customer schedules
From forecast to action
Keep the people making the decision in the loop.
01 · MONITOR
Forecast continuously
Refresh shipments on a daily cadence as new data arrives.
02 · NOTIFY
Alert on meaningful changes
- Forecast exceeds lane capacity
- Facility throughput approaches its limit
03 · DECIDE
Put the result to work
Build a shipment volumes forecast with your data.
Start with sample data, connect your own history, or talk with us about your target, horizon, and production requirements.