Running a transport operation means juggling a hundred moving parts before most people have had their second coffee. Orders flooding in from multiple customers. Exceptions needing attention. A planning board that never quite stays tidy. And somewhere in the background, a queue of configuration requests that the TMS vendor’s engineering team will get to “soon”.
But it doesn’t have to be that way.
Qargo is an AI TMS designed to help transport operators get the most out of every day — reducing the risk of human error and empowering the team you already have to be more efficient, not replacing them.
So let’s take a look at what a day in the life of an Ops Manager can look like when it’s powered by AI workflows.
Operations Manager’s AI-powered workflow
7:45: Orders ready to review before your first coffee
When orders land in your inbox, you don’t have to key them in from scratch. Forward the email via Qargo’s Outlook add-on, or upload the document directly — and Qargo Intelligence will pre-fill the order details for you using AI. You still create the order, but the manual data entry is gone.
Within a few minutes of settling at your desk, your orders are pre-filled and ready to review, approve, and go.
A day that used to start with data entry, now starts straight away with decisions.
8:30: A rule that used to be a ticket
When reviewing orders, you may flag that some have incomplete details which means you can’t process them. A missing customer reference number, or a delivery time outside of set time windows. This leads to a last minute panic to get the details from the customer — and frustration that the same mistakes keep creeping in.
Until now, fixing this meant raising a ticket with Qargo’s engineering team and waiting for them to configure a rule on your behalf. But we’re releasing a new feature that lets you work directly with an AI agent to configure the rules you need yourself. Describe the problem you’re trying to solve, workshop the best rule in conversation with the assistant, and implement it immediately — no engineering involvement required.
This is a significant milestone: for the first time, you’re in the driving seat when it comes to configuring Qargo. And it’s just the beginning.
10:00: Planning without the drag
Once orders have been reviewed, it’s time for planning. And with your rules configured to catch incomplete information, you can feel more confident that you’re working with clean orders.
You can also take rules a lot further, and let them do some of the heavy lifting for you. Configured rules enable you to assign planning groups and sequences based on constraints, vehicle capacity, stop durations, and ETAs. Once they’re in place on your planning board, your planning team can review and make any necessary adjustments — rather than building every trip from scratch.
AI in transport planning is moving fast — our planning boards aren’t AI-powered yet, but watch this space.
13:00: Stay on top of exceptions — not the other way around
At this point, you should be way ahead of your daily tasks thanks to Qargo TMS so that you’re able to manage exceptions, not still scrambling to enter and plan orders.
You can keep track of all your orders currently out for delivery by checking stop status and ETAs. If a driver happens to be running late, you can see straight away and resequence. Proactively letting the customer know — before the angry calls start coming in.
With Qargo, all the information you need is at your fingertips so you can act fast. And tackle any issues before they have the chance to escalate.
15:30: Much less admin to close out
Nearing the end of the day, it’s time to start tidying up any outstanding admin tasks. Without Qargo, this would mean manually uploading PODs and pushing out invoices — all of which extend the working day significantly.
With Qargo, your drivers can instantly upload a POD to the system via the mobile app, and Qargo Intelligence auto-matches it to the right order (and if it can’t, it will flag any exceptions). It also automates purchase invoicing and cuts invoice-processing time by up to 65%. Rates are pre-configured and the data you’re working from is clean, so posting a batch takes minutes rather than hours.
Now, turn off the computer. Home time.
Conclusion
AI won’t make the hard parts of running a transport operation disappear. But it gives your team more time to deal with them well. There’s still last minute orders, resource shortages, and disruptions to contend with. But with the right AI agent for logistics built into your TMS, it’s a lot easier to manage with the team you do have — freeing up their time to deliver more value to your business, whether that’s keeping customers happy or bringing new ones on board.
And hopefully, you can also now leave on time.
