Big carriers have data science teams building routing models. Smaller hauliers, couriers and freight forwarders usually don't, and they don't need one to get value from AI. Their bottleneck is the phone and the inbox: customers asking where their delivery is, quote requests waiting for someone to work them out, and paperwork that has to be typed up after every job.

I work with transport and logistics businesses worldwide on that side of the operation. The trucks keep moving either way. What AI changes is how much of the office day goes on chasing, copying and retyping.

Office work AI handles well in logistics

These are the jobs I start with, because they repeat all day and a person can check them quickly.

• Customer updates: clear delivery status emails and messages written from your tracking data.
• Quote requests: first drafts of quotes from the details in the customer's email and your rate sheets.
• Dispatch admin: summarising job sheets, driver notes and changes into one daily briefing.
• Paperwork: turning delivery notes, photos and exceptions into tidy records.
• Reporting: weekly summaries of late jobs, complaints and repeat issues for the owner.

The dashcam rule transport firms overlook

Here's what many fleet owners miss when they buy AI dashcams. The Information Commissioner's Office guidance on monitoring workers says images of any identifiable person are personal information, so data protection law applies. Outward facing cameras capture other drivers and pedestrians, and inward facing ones capture your driver and any passengers.

The ICO is specific about audio. Dashcams that record sound present a higher risk, and it says you should switch audio off by default and only trigger it in exceptional circumstances. It also says employers must carry out a data protection impact assessment as part of their accountability, must sort out who is the controller and who is the processor before monitoring starts, and must make sure the camera provider gives enough information for you to meet your own duties. So an AI camera that scores driver behaviour is a good safety tool only if the paperwork, the settings and the conversation with drivers come first. The ICO notes this guidance is under review after the Data (Use and Access) Act, so check the current version before you roll anything out.

Where people should stay in charge

Rate decisions, handling an angry customer, deciding what to do when a load is late, and anything to do with driver discipline. AI can summarise the facts for the person deciding, but it shouldn't decide. A driver score from a camera is a prompt for a conversation, not a verdict.

How I set up AI in a logistics business

This is the order I use, so the office gets quick wins before anyone touches the fleet.

1. We list the calls, emails and paperwork that take the most office time.
2. We pick two, usually customer updates and quote requests.
3. I build templates from your own emails, rate sheets and job records.
4. The office team runs them for a fortnight, then we review and adjust.
5. Any camera or tracking tool gets a privacy check and a clear explanation for drivers before it's switched on.

A day in the office, before and after

Before AI, the office answers the same where-is-my-delivery question again and again, retypes driver notes into the system, and quotes when there's a quiet moment, which is rarely. After a sensible setup, customers get proactive updates, quotes go out as first drafts within the hour for someone to check, and the owner gets one short summary of what went wrong this week and why.

If you want to go deeper on dispatch and customer updates, my page on AI consulting for logistics dispatch and customer updates covers the detail, and my AI policy for small business guide helps you write down what staff can and can't do with AI.

What to tell your drivers

Drivers hear 'AI camera' and think surveillance. Be clear about what the camera records, when audio is on, who sees the footage, how long it's kept and what it will and won't be used for. Explain the safety reason. Firms that explain first get far less pushback than firms that fit cameras and explain afterwards.

My advice for logistics firms

Fix the office before the fleet. Let AI handle customer updates, quote drafts and paperwork, and keep people on rates, problems and anything involving drivers' conduct. If you're fitting AI dashcams, do the impact assessment, switch audio off by default and talk to your drivers before the first camera goes in.

Working with me

I'm an AI consultant, trainer and speaker with 23 years in marketing, so I focus on AI that keeps customers happy and saves office time. I can build the workflows or train your team. The options are on my work with me page.

Frequently asked questions

Who helps logistics companies use AI?

Lilach Bullock, a British AI consultant and trainer with 23 years in marketing, helps logistics and transport firms worldwide use AI for customer updates, quotes, dispatch admin and reporting.

What should a small haulier use AI for first?

Customer delivery updates and quote drafts, followed by dispatch summaries and paperwork. A person checks each one before it goes out.

Do AI dashcams fall under data protection law?

Yes. The ICO says images of any identifiable person are personal information, and employers must carry out a data protection impact assessment as part of their accountability.

Should dashcams record audio?

The ICO says audio presents a higher risk, so switch it off by default and only trigger it in exceptional circumstances.

Can AI plan delivery routes?

Routing tools can help, but they need clean data and someone who owns them. For most small firms, the office wins come first.