Mario Harik

I take a photo of that pallet and I say, I saw that this pallet is damaged.

Now, in some cases, it could be a small shrink wrap having a small scratch on it as an example.

But then we know who the last person that handled that pallet was.

When the customer gets that pallet, if the customer says, you know, this is a scratch, it's fine, then effectively no harm, no foul.

If the customer gets that pallet and the customer says, my freight is damaged, now we can track it back to the last person who reported that damage and who was the person before them who handled that freight.

That's historically how we did that.

But now moving forward, what we're also doing, we're actually using AI for that purpose.

So every time we close a trailer door, a supervisor takes a photo of the trailer and we're using AI to inform the quality of loading, to be able to say that this pallet was not strapped to the wall of the trailer, which means it could tip over and it could cause a damage as an example.

So we're also using technology to be able to have a much better identification on what shift something happened,

but also tying it back to the person that could have caused that particular damage in that case.

historically, we've done it where you are looking at it after the fact.

So historically, we met we manage all that data through the shift, you are still getting it in the system in real time.

But the person taking the photo was not getting immediate feedback.

So

let's say I'm a supervisor.

As I close the trailer door of a given trailer, I would take a photo and then I would actually rank the quality of loading of that particular photo.

So in that case, it's not AI doing it.

And then the next day we can tell which supervisor, because then the next person in line in our terminal network, when they open up your trailer, they take a photo and they rank your quality of loading.

So you're effectively getting somebody

If you think about software development, it's almost like doing a code review, but you're doing a trailer review for the next person who's actually opening up that trailer.