It’s So Easy a Freight Broker Can Do It

You don’t need to be technical to use AI. If you can write an email, drop in a spreadsheet, and talk about freight like you do every day, you can start using AI to work faster, look sharper, and show up more prepared than the broker in the next seat.

This playbook walks through 5 real use cases you can run today—no TMS integrations, no code, just your inbox, chat, call recordings, and exports.

Oh, and this edition will focus on low-hanging fruit and ‘free or starter plan’ AI like Claude, ChatGPT, CoPilot, or Gemini.

At Rocket, we are using OpenClaw, Claude CoWork and Code, N8n, Make.com, and others that are a bit pricier and much more powerful. These tools are also quite technical. Stay tuned for our next edition where I dive into those tools and give some real life examples of what we have built lately.

1. Ask AI questions about your customers (your own private “account brain”)

You already have everything you need to understand your accounts: it’s just scattered across email, Slack/Teams, and call notes. AI’s job is to pull that into one coherent brain you can talk to.

What this looks like in practice

You connect your AI chat to where your customer conversations live (email + chat logs), or you simply paste in recent threads when needed. Then you ask questions like:

• “Summarize the last 60 days of communication with Customer X. What have they been most focused on?”
• “Show me every time they mentioned service failures, tracking issues, or accessorial disputes.”
• “What did we commit to in terms of reporting cadence and KPIs for this account?”
• “Give me three talking points for my check-in call this afternoon.”

Instead of digging through 27 emails and 4 channels, you get:

• A simple summary in your language
• A list of key issues and wins
• Context you can skim in 2 minutes before you pick up the phone

Example prompt you can steal

“You are my freight account assistant. I’m about to speak with [Customer Name]. Review our previous meetings, emails, internal slack messages and the attached shipment history. Summarize:

• What they care about most right now
• Any recent problems and how we responded
• Any promises we made about service, pricing, or reporting

Then give me 5 bullet talking points for a 15-minute call.”

2. Shared AI “projects” per customer (sales → onboarding → ops on the same page)

Every customer has a story: how you won them, what they care about, where you’ve messed up, and how you recovered. Right now that story lives in people’s heads and random files.

An AI “project” is just a shared workspace where you dump everything for that customer so your whole team can chat with the same context.

What goes into a customer project

For each key customer, create a space and feed it:

• Discovery and sales call transcripts
• Onboarding calls and process docs
• RFPs, SOPs, and key contract terms
• Important email chains (service issues, renewals, pricing changes)
• Internal recap notes after meetings

Now anyone on the team can:

• Ask, “What did we agree to on detention with this customer?”
• Onboard a new rep by saying, “Give me a 1-page overview of this account: volumes, lanes, sensitivities, and recent problems.”
• Prep for a QBR: “Summarize the last quarter for Customer Y: performance, issues, and wins.”

Why this matters for freight

• Sales doesn’t over-promise because they can see what ops is dealing with.
• Ops doesn’t walk blind into a relationship history they never saw.
• Management can get a clean view of risk and opportunity without playing telephone.

Example prompt for the project

“Based on everything in this customer workspace,

• Describe this account in 3 paragraphs: who they are, what they care about, and our current performance.
• List the top 5 risks on this account.
• List the top 5 opportunities.

Write it so a new team member can get up to speed in 5 minutes.”

3. AI-powered inbox triage and daily load plan

You wake up, open email, and you’re immediately underwater. New tenders, status updates, “quick questions,” fire drills. AI can turn that mess into a simple action plan.

What this looks like in practice

You either:

• Give AI access to a specific label/folder, or
• Export/forward a batch of emails and paste them in

Then you ask it to:

• Group emails into:
• Extract key load details for new tenders into a simple table
• Highlight anything time-sensitive or risky

Example prompt you can use every morning

“You are my freight inbox assistant. I’ll paste in my key emails from overnight.

1. Group them as: new loads, updates, problems/exceptions, or other.
2. For new loads, create a table with: customer, origin, destination, pickup date, delivery date, equipment, and any mentioned rate.
3. List my top 10 priorities for the next 4 hours, in order, with short reasons.”

Now instead of just reacting, you start your day with:

• A prioritized to-do list
• A quick “load board” view built straight from your inbox
• Visibility into issues before customers chase you

If you want to supercharge this, download the Claude Cowork Desktop app and set up the ‘productivity login’. It will do all of this work and more with the single prompt “/productivity”

4. Call summaries, action items, and follow-ups on autopilot

Calls are where the real commitments get made—and where details get lost. Instead of relying on memory or handwritten chicken scratch, use AI to turn every important call into structured info you can actually act on.

What this looks like in practice

For customer and internal calls (where allowed):

• Record the call using your normal meeting tool
• Get an automatic transcript
• Drop that transcript into your AI assistant or customer project

Then ask it to:

• Summarize the call in a few bullet points
• Extract action items with owners and due dates
• Draft a follow-up email from you to the customer or internal team

Example prompt

“You are my freight account assistant. Here is a transcript of a call with [Customer Name].

1. Summarize the call in 8 bullet points.
2. List all action items with: owner, due date (reasonable guess), and context.
3. Draft a professional follow-up email I can send to the customer recapping decisions and next steps.”

Why this is powerful

• No more “What did we decide on that call again?”
• Fewer dropped balls between sales, onboarding, and ops
• Cleaner paper trail when things go sideways later

5. Turning raw exports into lane and margin insights (without a single pivot)

You already pull spreadsheets from your TMS or accounting system. Instead of staring at them or begging someone for a dashboard, you can throw them at AI and ask for actual answers.

What this looks like in practice

You export a CSV with columns like: customer, lane, origin, destination, revenue, cost, margin, dates, carrier, on-time flag. Then you:

• Upload it to your AI tool
• Ask specific, business-driven questions

Example prompt

“You are my freight analyst. Here is a CSV of last month’s loads.

1. Clean obvious issues (date formats, duplicate rows, inconsistent customer names).
2. Summarize:
   • Total loads, revenue, and margin
   • Top 10 customers by revenue and by margin
   • Top 10 lanes by volume and by margin
3. Identify:
   • Lanes with high volume but poor margin
   • Lanes with strong margin but low volume (growth opportunities)
4. Write a short explanation (in plain language) of what stands out and give me 5 specific actions I should consider.”

You can also follow up with:

• “Show me this broken down by rep.”
• “Create a table I can paste into Excel with the worst 20 lanes by average margin.”
• “Write three bullet points I can use with Customer X about their performance.”

You don’t need to wire into your TMS, write a single line of code, or become “technical” to do any of this.

You do need to:

• Work where you already live (email, chat, calls, spreadsheets)
• Explain what you want in clear, freight-specific language
• Turn your best prompts into reusable habits

If you start with just these five plays, you’ll:

• Walk into every call fully briefed
• See problems and opportunities earlier
• Spend more time making decisions and less time hunting for information

And yes—it really is so easy a freight broker can do it.

Which of these five plays do you want to turn into a concrete, copy-paste-ready prompt pack next?