How to Run a 30-Day Pilot for an AI Logistics Agent

Key Takeaways

A pilot for an AI logistics agent is a short, measured test on a few real lanes, where the AI agent executes freight coordination work while the team compares results to the current process.
The pilot works in 3 phases: discovery to map the workflow, setup (around 10 days with Wilson, by Cartage) and a one-month pilot on a few lanes.
Choose pilot lanes with 4 criteria: steady volume, repetitive coordination work, a measurable baseline and a manageable level of risk.
Track 6 metrics against the baseline: loads handled without manual follow-up, missed pickups, time from exception to notification, POD collection time, coordinator hours and team confidence in the AI agent's work.
Autonomy expands gradually. The pilot starts with assisted execution and configurable approvals, and the team decides what the AI agent can do on its own as trust builds.

What is a pilot for an AI logistics agent, and why 30 days?

A manufacturer's logistics manager is interested in an AI logistics agent, but she isn't ready to hand over every load. She picks three lanes her team books every week, sets the approval rules and lets the AI agent handle the coordination for a month. At the end, she has her own numbers to show leadership, not a vendor's.

A pilot for an AI logistics agent is a short, measured test on a few real lanes, where the AI agent executes freight coordination work under the team's rules and results are compared to the current process.

A pilot answers the questions a demo can't: does the AI agent handle the company's actual carriers, customers and exceptions, and does the team trust it? With Wilson, by Cartage, the pilot runs for one month on a few lanes. That's typically long enough to see dozens of loads and a few real exceptions, and short enough to decide quickly.

The stakes for getting coordination right are real. The U.S. Bureau of Labor Statistics projects employment of logisticians to grow 18% from 2025 to 2035, with about 26,600 openings a year, so experienced coordinators are in demand. And when coordination slips, delays add up: ATRI found truck drivers were detained at 39.3% of stops in 2023.

How do you choose the right lanes and workflows for the pilot?

The best pilot lanes have steady volume, repetitive coordination work, a measurable baseline and a manageable level of risk.

Criterion	Why it matters	Example
Steady volume	Enough loads in a month to see patterns	A lane shipped several times a week
Repetitive coordination work	That's where an AI agent saves the most time	Quotes, pickup confirmations, status updates, PODs
Measurable baseline	Results need a "before" to compare to	Known missed pickups or coordinator hours on the lane
Manageable risk	Builds trust before high-stakes loads	Approved carriers the team already works with

Start with the workflows that take the most time today. For many manufacturers and distributors, that's carrier follow-up, pickup confirmations, delivery updates and proof of delivery (POD) collection. Wilson supports LTL, FTL, ocean, drayage, parcel and cross-border freight, so the pilot can run on the modes the business ships most.

Before choosing, it helps to know what to ask. See how to evaluate an AI logistics agent: 12 questions.

What happens in each phase of the pilot?

A pilot for an AI logistics agent runs in 3 phases: discovery, setup and the one-month pilot itself, each with a clear role for the AI agent and the team.

Phase	What happens	What the AI agent does	What the team does
Discovery	Map the current workflow on the pilot lanes	Not active yet	Shares how loads are quoted, booked, tracked and closed today
Setup (around 10 days)	Connect order intake and set preferences	Gets an email address on the company's domain and is onboarded on carriers, rules and contacts	Sets approved carriers, approval thresholds and escalation contacts
Pilot, early weeks	Assisted execution on live loads	Quotes, books, confirms, follows up and sends updates	Reviews and approves actions above the set thresholds
Pilot, later weeks	Wider scope as trust builds	Handles more steps without waiting for approval, where the team allows it	Reviews exceptions and the change history
Pilot review	Compare results to the baseline	Provides the record of every action	Decides whether to expand lanes and autonomy

Order intake works from an ERP feed, spreadsheet, email or scheduled file drop. Wilson is not a TMS, does not integrate with TMS systems and does not require one. See AI logistics agent vs. TMS and carrier management with ERP integration.

Which metrics show whether an AI logistics agent is working?

The 6 metrics that show whether an AI logistics agent is working measure workload, reliability, speed and trust, each compared to the baseline on the same lanes.

Metric	What it shows	How to measure it
Loads handled without manual follow-up	How much work the AI agent took on	Share of pilot loads with no manual carrier emails or calls
Missed pickups	Reliability of pickup coordination	Count per month vs. the baseline
Time from exception to notification	Speed of exception management	Time from a delay or cancellation to the team and customer being told
POD collection time	Speed of closing loads	Time from delivery to the POD being filed
Coordinator hours	Time returned to the team	Hours spent on coordination on the pilot lanes
Team confidence	Whether the team trusts the AI agent	Share of approvals accepted without changes, plus team feedback

Agree on these metrics and record the baseline before the pilot starts. Without a "before," results turn into opinions.

How do teams expand autonomy after the pilot?

Teams expand an AI logistics agent's autonomy step by step, based on pilot results, by changing the approval rules rather than handing over control all at once.

Start with assisted execution: Wilson begins by preparing and executing work with approval on the actions the team chooses.
Loosen approvals where results are strong: for example, let routine bookings under a cost threshold proceed automatically.
Keep approvals where stakes are high: such as rebookings above a threshold or high-priority customers.
Add lanes and modes: expand to more lanes once the first ones meet their targets.
Keep the guardrails: Wilson works only with approved carriers, escalates to the team and records every action in a full change history.

For how approval rules work in detail, see Autonomy without rules is just another operational risk. For the case of scaling without new hires, see how to automate logistics without adding headcount.

FAQs

How long does it take to deploy an AI logistics agent? With Wilson, by Cartage, initial deployment typically takes around 10 days, followed by a one-month pilot on a few lanes.
How many lanes should a pilot include? A few lanes with steady volume and repetitive coordination work are usually enough to see results within a month.
What should I measure in an AI logistics pilot? Loads handled without manual follow-up, missed pickups, time from exception to notification, POD collection time, coordinator hours and team confidence, all compared to the baseline.
Does the AI agent act on its own from day one? No. Wilson starts with assisted execution, and the team sets which actions need approval. Autonomy expands as trust builds.
Do we need a TMS for the pilot? Not with Wilson. It works from an ERP feed, spreadsheet, email or scheduled file drop, and it does not integrate with TMS systems.
What does the team need to provide for setup? The workflow on the pilot lanes, approved carriers, approval thresholds, escalation contacts and access to order intake.
What happens after the pilot? The team reviews results against the baseline and decides whether to expand lanes, modes and autonomy.

Conclusion

An AI logistics agent earns trust the same way a new team member does: on real loads, under clear rules, with results anyone can check. A 30-day pilot on a few lanes gives a manufacturer or distributor its own numbers on workload, missed pickups, exception response and POD collection, compared to the way things work today. Wilson, by Cartage, is built for that path: around 10 days to set up, a one-month pilot, then autonomy that expands as the results come in. The first step is discovery, where Cartage helps map the workflow on the lanes that matter most.

Sources

U.S. Bureau of Labor Statistics, Occupational Outlook Handbook, "Logisticians": https://www.bls.gov/ooh/business-and-financial/logisticians.htm
American Transportation Research Institute (ATRI), September 2024: https://truckingresearch.org/2024/09/new-research-documents-substantial-financial-and-safety-impacts-from-truck-driver-detention/
Cartage product information: https://cartage.ai