How vendor reconciliation works in CleverBalance
From uploading vendor statements to reviewing matched and unmatched transactions, CleverBalance handles the entire reconciliation process automatically using structured rules and AI.
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Upload
Upload vendor statement and AP ledger
Match
System matches transactions using rules and AI
Review
See matched and unmatched transactions clearly
From upload to reconciliation in minutes
Upload, match, and review through a simple, structured flow.
Step 1: Upload your data
Upload vendor / supplier statement and your books (AP ledger)
Step 2: Run reconciliation
System automatically matches transactions using rules and AI
Step 3: Review results
See matched and unmatched transactions clearly
Step 1: Upload vendor statement and books
Start by uploading both datasets and telling the system what each column represents.
Vendor / Supplier statement
Books (AP ledger)
What this enables
The system understands how to compare both datasets correctly, even if formats differ.
Step 2: Data is cleaned and standardized
Before matching begins, CleverBalance prepares your data to ensure accurate comparison.
Dates are normalized into a standard format
Amounts are aligned for comparison
Invoice numbers and references are cleaned
Text fields are standardized
Both datasets are made comparable, even if they were exported from different systems.
Step 3: Transactions are matched using structured rules
CleverBalance first applies high-confidence matching rules to reconcile the majority of transactions.
1. Invoice / Reference Matching
Best for clean, invoice-driven vendor reconciliation
2. Date + Amount Matching
Best for cases where invoice numbers are missing or inconsistent
3. Split and Combined Matching
Condition: total amount must match
4. Settlement & Group Matching
Approach: grouped entries are matched when totals align
5. Relaxed Matching
Best for delayed entries or backdated postings
Step 4: AI resolves complex unmatched cases
After rule-based matching is completed, remaining unmatched transactions are analyzed using AI.
Important principles
More transactions get matched without compromising accuracy.
Step 5: Review matched and unmatched transactions
Once matching is complete, results are presented in a clear, structured format.
Matched
Fully reconciled transactions and invoice-level or grouped matches.
Unmatched
Missing invoices in books, extra entries in books, amount mismatches, and items needing action.
Step 6: Download results and take action
Export reconciliation outputs for reporting, review, or corrections.
Outputs include
Use cases
Why CleverBalance works better than manual reconciliation
Instead of relying only on strict rules or only on AI, CleverBalance combines both.