Ask anyone who actually files freight claims for a living how long one takes, and you’ll notice they don’t answer with a number, they answer with a story. Someone has to track down the bill of lading in one system, dig up inspection notes in another, then sit there scrubbing through hours of dock footage hoping to land on the ten seconds that actually matter, all before a carrier who’s in no rush even opens the dispute letter that took half a day to write. What’s easy to miss in all of that is that almost none of it is really about proving the damage happened, since the damage was real the moment it occurred, and what it actually ends up proving is that your team was thorough enough to survive an argument about something that should never have needed one. Everything broken about this process happens after the damage, in the scramble to establish something that was already true.
What actually takes so long in a manual claims cycle?
It’s tempting to assume the slow part is the judgment call, someone deciding whether a claim is worth filing, but that’s rarely where the time actually goes, since the real cost sits in assembly: a claims specialist has to pull the bill of lading from one place, find inspection notes that were logged somewhere else entirely, and then go looking for the specific footage that captured the moment of damage, which usually means scrubbing through hours of video that was never organized with this use in mind. Every one of those steps lives in its own system, and every handoff between them costs another day, so by the time a claim actually gets filed, the damage is a week old and the trail has gone cold in ways nobody intended.
Why do carriers deny claims that are legitimate?
Roughly 30% of freight claims filed industry-wide are fraudulent, which gives carriers every reason to treat your claim with suspicion even when it’s completely legitimate, since on paper there’s often no way to tell the difference between the two. Without timestamped, station-level evidence that ties the damage to a specific moment and a specific place, a real claim and a fabricated one look almost identical to whoever’s reviewing it. So your team ends up spending its energy proving something that should never have been in question, that the damage happened here, at this time, before the shipment ever left the building. This same pattern, denials that trace back to a documentation gap rather than a genuine dispute over what happened, is worth a closer look in how AI streamlines OS&D claims.
What does an automated claims workflow actually look like?
An automated claims workflow looks like very little happening right up until the moment evidence needs to be pulled. When quality control is already watching every station from inbound to outbound, a flagged event doesn’t set off a scramble to find proof, since the proof already exists, with the footage, the timestamp, and the station all attached the instant the anomaly is caught. That’s what lets a workflow built on that evidence pull the clip, draft the dispute, and route it for review in a matter of minutes rather than hours, simply because nobody has to go hunting for something that was never actually missing, only spread across systems that had no reason to talk to each other in the first place.
From 12–15 hours to 3 minutes
This is where Claims Management fits into the picture, and it’s worth being clear that it’s really the same quality control layer that’s already watching the floor, just extended one step further downstream, rather than a separate tool stapled onto whatever process your team is already running. Because vision AI is already monitoring every station, the evidence a claim needs gets captured the moment it happens instead of being reconstructed three days later when a customer finally calls to complain.
That’s really the entire difference between losing the better part of a workday to a claim and closing it out in about three minutes, and it comes down to where the proof was sitting all along, buried across systems nobody thought to check until it was already too late, rather than anyone getting better or faster at their job.
Frequently asked questions
Is Claims Management a separate product from Arvist’s QC platform? No, and it’s worth being clear about that, because it’s really just the same quality control platform extended one layer further. It uses the exact same evidence your QC system is already capturing at every station.
How does Arvist verify a claim is legitimate? Through timestamped visual evidence that’s tied to a specific station and a specific moment, rather than paperwork someone assembled after the fact and hoped would hold up.
Does this replace a claims team? No, and that’s really the point of it, since it removes the busywork of gathering evidence so your team can spend its time on resolution and negotiating with carriers instead.
How long does it typically take to resolve a freight claim manually? On average, somewhere between a full workday and multiple days, and almost none of that time is spent deciding whether the claim is even valid.
What is OS&D and how does it relate to freight claims? OS&D stands for overage, shortage, and damage, and it’s usually these discrepancies that turn into the claims your team ends up spending hours documenting.
How do you dispute a carrier chargeback effectively? An effective dispute depends on evidence that’s tied to an exact moment and an exact location, since paperwork by itself gets disputes denied more often than it should.
Does automating claims help with fraud as well as processing time? It does, because verifiable footage removes the ambiguity that otherwise lets fraudulent claims hide right next to legitimate ones.
