AI Category Management for Auto Parts — Built in Days
Capabilities/Intelligence
Intelligence

RMA Intelligence for Returns and Warranty

Returns aren't just cost. They're a map to your next recovery.

Returns get processed and forgotten, but the pattern inside them is worth real money. We build RMA intelligence that classifies every return, splits genuine warranty from defect from buyer error, and traces root cause back to the SKU, supplier, or listing. You give us the returns data; our AI turns it into recovery.

Who it's for: Sellers and distributors with return volume high enough that patterns and recoveries are getting missed.

Problems we solve

If any of these sound like your day, there's software that fixes it.

Returns are logged but never analyzed, so the same problem SKUs keep coming back

Warranty, defect, and buyer-error returns get lumped together and mispriced

Root cause is guessed at, so bad listings and bad batches persist

Supplier and warranty claims go unfiled because no one connects the dots

Return rates quietly drag margin with no owner and no trendline

What we build

Concrete deliverables, shaped to how your business actually runs.

Automated return classification: warranty vs defect vs buyer error vs fitment mismatch

Root-cause analysis tied to SKU, supplier, batch, and listing quality

Problem-SKU and problem-supplier rankings by return rate and dollar impact

Supplier-claim and warranty-recovery opportunity detection with evidence

Fitment-mismatch flags that point back to catalog and listing fixes

A returns trend dashboard so you catch a bad batch in days, not quarters

What we've done

AutoBuffy processes real returns at catalog scale, so RMA data is familiar ground

What we've done

Our fitment and ACES work lets us spot returns caused by bad listings

What we've done

We deliver live intelligence to distributor accounts, tuned to their data

Questions we get asked

Straight answers. If yours isn't here, ask us below.

How does the AI tell warranty from defect from buyer error?

It reads return reasons, product and order data, and history, then classifies each return and flags the ambiguous ones for a quick human check. Over time it learns your patterns and gets sharper.

Can it actually find money we can recover?

Yes. It surfaces returns eligible for supplier or warranty claims and assembles the supporting evidence, so your team files claims that would otherwise be written off.

Will it connect returns to bad listings or fitment errors?

That's a core output. When a SKU returns for the wrong fitment repeatedly, we trace it to the listing or ACES data so you fix the cause, not just the symptom.

What data do you need from us?

Your RMA and returns records, order data, and ideally product and supplier detail. We can start with a returns export and enrich from there.

How do we start small?

Fixed-price Starter scope on a defined return window or product line. We prove the classification and recovery flags before expanding.

Tell us the problem

Describe what's slowing you down. We'll tell you — free — whether software can fix it, roughly what it takes, and what it saves you.

Send us your last quarter of returns and we'll show you the root causes and the claims you're missing.

Tell us the problem, we'll figure out the technology. No 40-page spec, no discovery retainer — just a fast, honest conversation about what to build.

Tell us the problem