Troubleshooting and Data Quality

Failed imports, missing vehicles, overlapping reservations, mismatches, and rejected rows.

See how Kelviz handles this: Reservation Matching Engine for Toll & Ticket Reconciliation
Guides

How Kelviz Prevents Duplicate Toll Imports

Why overlapping toll exports are normal, and how separating new, duplicate, and rejected rows stops double billing.

Guides

How a Turo Fleet Can Use a Data-Quality Review Queue

A completed import doesn't mean the data is correct — see how a categorized queue turns inconsistencies into resolvable work.

Guides

Why Did My Turo Reservation Import Fail?

Diagnose a failed reservation import by checking the import record, testing a clean re-export, and reviewing row errors.

Guides

How to Fix "No Matching Vehicle" in Turo Fleet Data

A "no matching vehicle" issue means a transaction can't be reliably tied to a fleet vehicle — how to fix it safely.

Guides

How to Resolve a Turo Reimbursement Mismatch

A reimbursement mismatch means source records don't agree with the billed amount — the difference must be explainable.

Guides

How to Fix Overlapping Turo Reservations

Two reservations on one vehicle can't both prove possession at a toll timestamp — how to find and resolve the overlap.

Guides

Why Are Tolls Showing as "Not Billed"?

A toll can be matched but still sit unbilled — billing needs its own eligibility review, evidence, and case tracking.

Guides

How to Fix Missing Trip History in a Turo Fleet

Toll matching needs to know which reservation had a vehicle at a given time — how to fix a gap in trip history.

Guides

How to Investigate Rejected Toll-Import Rows

A rejected row means the system couldn't safely create a transaction from it — and it deserves a specific reason.

Guides

How to Handle an Incomplete Toll or Reservation Import

An incomplete import is dangerous because the rows that did load can look correct — check source coverage directly.

Guides

Turo Fleet Data-Quality Checklist Before Guest Billing

Before billing a guest, verify the entire chain from source document to reimbursement case — a clean total isn't enough.

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