Priority signals
The biggest issues in the current review.
Compare current uncoded transactions against historical exports that already contain clean coding so reviewers can suggest likely class and location assignments faster.
Use one current transaction export that still has class or location gaps and one historical export that already contains cleaner coding. The tool looks for reusable patterns between them.
The live allocator stays at the top: load both exports, confirm the smart mapping, and review the suggested coding queue before you scroll into the guide content.
This page processes both files in the browser and is useful for first-pass allocation support before a bookkeeper or manager applies updates in QBO.
When class or location coding is incomplete, teams usually end up manually copying patterns they already know by memory. This tool turns that historical memory into a browser-side review queue.
The biggest issues in the current review.
Highest-value items first.
Patterns that explain where cleanup or follow-up is likely to happen.
Search the reviewed rows directly in the browser.
The tool suggests classes and locations from real behavior, not from a generic rule list.
Each suggested row shows whether the signal came from account plus payee, memo, payee, or account patterns.
Rows with contested or weak history stay visible instead of being treated as certain.
Use the output as a bookkeeper handoff or manager review file before applying updates.
This section explains which exports work best, how suggestions are generated, and where reviewers should still expect to apply judgment.
A QBO class and department allocator compares current uncoded transactions against historical coded transactions to suggest likely class and location assignments.
Bookkeepers, controllers, and operations-minded teams that rely on QBO class or location tracking for management reporting.
One current export with missing coding and one historical export with cleaner class and location data work best.
Use the allocator as a suggestion layer, not as a blind auto-posting engine. It is designed to shorten review time, not remove judgment entirely.
Pull the current QBO transactions and a historical period with cleaner class and location assignments.
Map account, payee, memo, amount, class, and location fields on both sides.
Start with high-confidence suggestions and then inspect rows where the history is split or weak.
Use the output to update QBO or to route a manager review before changes are applied.
These are the issues that most often slow down class and location cleanup in QBO.
Transactions missing both class and location usually create the biggest reporting-quality problem.
Useful when location is filled but class tracking is incomplete.
Useful when class is present but location reporting is still broken.
Rows with one dominant historical combination are the fastest wins.
If history is split across multiple combinations, the suggestion should be reviewed carefully.
These rows still require manual judgment and should not disappear into the background.
Search results around class and location tracking usually explain setup steps. This page solves the ongoing spreadsheet problem instead: use historical behavior to backfill the current gaps.
Load current and historical data together, auto-map both sides, and generate a suggestion queue immediately.
The tool shows whether a suggestion is strong or contested instead of hiding the uncertainty.
This gives a team value before any internal allocation engine is built.
Written in short form so searchers can get a clear answer without digging through generic product copy.
A QBO class and department allocator compares current uncoded transactions against historical coded transactions to suggest likely class and location assignments.
This tool suggests class and location values by looking for repeated historical combinations by account and payee first, then memo, payee-only, and account-only patterns.
No. The page processes the file in your browser for a first-pass review.
One current export with missing coding and one historical export with cleaner class and location data work best.
Yes. If you want recurring rules, approvals, or connected update workflows, Ledger Summit can build a custom version around your reporting model.
Use the free allocator to generate first-pass suggestions now. If you want a more governed class and location process, Ledger Summit can build it around your reporting structure.
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