How should manufacturers test freight automation on repetitive scheduling work?
Key Takeaways
- Manufacturers should test freight automation on repetitive scheduling work with a representative batch of real shipments, not a vague efficiency claim.
- The things to compare are manual touches, failed handoffs, pickup confirmations, exceptions, and shipment history.
- An anonymized customer example shows one plastics and rubber manufacturer using daily SAP batch files, carrier-email routing, and pickup-time assignment across more than 2,800 shipments.
- Wilson, by Cartage should be tested on routine and non-routine loads together, because the non-routine ones show whether the workflow holds.
- A fair test compares the same kind of loads before and after, using the same definitions.
How should manufacturers test freight automation on repetitive scheduling work?
A plastics manufacturer is told that freight automation will "save hours every week." The operations director asks the obvious question: which hours, on which loads, and how would we know? Nobody has an answer that could be checked.
Manufacturers should test freight automation on repetitive scheduling work by running a representative batch of their own routine and non-routine shipments and comparing manual touches, failed handoffs, pickup confirmations, exceptions, and shipment history against the current process.
Repetitive scheduling work, such as turning orders into bookings and pickup times and keeping carriers confirmed, is where automation should help most. That makes it the right place to test, and also the place where vague claims are easiest to make.
A test the team can repeat with its own data is worth more than any general estimate.
Plastics and rubber manufacturers are well placed to run that kind of test. Their order flow is often steady, with daily releases to repeat customers, so a single week gives a meaningful sample, and the same week can be compared again later.
What does a 2,800-shipment scheduling workflow show a manufacturer evaluating automation?
One plastics/rubber manufacturer used daily SAP batch files, carrier-email routing, and pickup-time assignment across more than 2,800 shipments.
A workflow that combined batch intake, email routing, and pickup-time assignment across more than 2,800 shipments covered the full repetitive cycle, not one isolated task. That is the scope a test should cover too, because savings in one step can be lost in the next.
It also shows the work running daily over a long period, which is a different standard from a single demonstration.
These are documented figures from one customer; they do not predict another manufacturer's results.
What should a freight automation test on scheduling work compare?
The core steps for this question are manual touches, failed handoffs, pickup confirmations, exceptions, and shipment history.
- Manual touches: every time a person typed, sent, called, or checked something on a load.
- Failed handoffs: places where information did not pass correctly, such as an order missing a field or a carrier reply not acted on.
- Pickup confirmations: how many pickups were confirmed without a person chasing them.
- Exceptions: declines, missed pickups, and delays, and how much work each needed.
- Shipment history: whether the record explains each load without searching email.
Run the same measures on the current process and on Wilson, by Cartage, using comparable loads.
Choose loads that represent the real mix of customers, lanes, and carriers. A test built only on the easiest lanes will overstate the result, and one built only on problem lanes will understate it.
How should a manufacturer design a fair before-and-after test?
Choose a representative batch, such as a normal week of orders, including the awkward loads: a short ready date, a carrier that usually declines, a destination with tight receiving hours. Leaving those out makes any tool look good.
Define each measure before starting and have the same people record both runs. Keep elapsed time separate from active work, so slow carriers are not counted as coordinator effort.
Then compare quality as well as effort. Fewer touches only count if the pickups happened, the exceptions were resolved, and the records are complete. A test that reduces touches but leaves more pickups unconfirmed has not improved anything that matters to the plant.
Where should people stay involved during the test?
During the test, people should keep the decisions they would keep in production: approvals above cost limits, carrier choices outside the usual rules, and customer-sensitive exceptions. That way the test measures the real future process, not an unrealistic version with no people involved.
Wilson starts with assisted execution, and the company sets approval rules before the test. Every approval and escalation is recorded, so the test also shows how often people were needed and why. That count becomes the starting point for deciding which approvals the company can relax later.
How should a manufacturer run the test in practice?
Run a representative batch of routine and non-routine shipments and compare manual interventions and workflow quality.
Start with a week of real orders, record the current process, then run comparable orders through the workflow. Review the results load by load with the coordinators who handled them, so differences are understood rather than just counted. A load that took more touches in the new workflow may reveal a rule that needs adjusting rather than a failure.
To plan that test around your own order flow, talk to the Cartage team in a 15-minute call and bring a typical week of shipments.
What result should a manufacturer expect from a fair freight automation test?
The practical answer is a workflow the buyer can reproduce.
A fair test ends with numbers the team trusts: touches per load before and after, failed handoffs caught, pickups confirmed, exceptions handled, and records complete. Those are the same measures the team can keep tracking after go-live, so the test doubles as the first month of ongoing measurement. If those numbers improve on the company's own loads, the decision is easy to make; if they do not, the test shows exactly where the workflow still needs work.
Either way, the manufacturer ends the test with a baseline it did not have before, which is useful for any later decision about tools, staffing, or carrier rules.