Vendor Reconciliation Automation

Reconciling vendor deliveries meant working across several files and systems at once, and the same transaction often looked different in each one. Invoice numbers carry extra spaces, symbols, or suffixes. Vendor names were written in different ways. Dates and amounts sometimes differ by small margins.

The process also changed throughout the month. Weekly reconciliation had to account for earlier periods, and month-end added accrual reviews and checks for duplicate postings, where the same invoice is recorded twice and can lead to overpayment.

Alcohol was the hardest category. Its invoice details were entered by hand, so errors and variations were more common, and many records that should have matched did not match exactly.

As a result, teams spent a lot of manual effort combining and comparing files; results varied from person to person, and missing transactions or duplicates were often found late.

The client needed a consistent, repeatable process that made it clear which items could be trusted, and which needed a person to review.

MagnusMinds built a single, guided workflow where finance teams upload their files, choose the type of reconciliation, and receive organized results. It replaces the manual effort of gathering and comparing records across systems.

One place to start. Users select the brand, category (food or alcohol), and period (weekly or month-end), then upload the required files. The rest runs automatically.

Consistent data and vendor rules. Key details such as invoice numbers are standardized before comparison. General and vendor-specific rules reflect how each vendor formats invoices, and finance teams can update them as vendors change.

Smart matches. Exact matches are identified first. Close but not identical records are flagged as likely matches instead of being silently accepted, and users can adjust how flexible the matching is, which helps with alcohol invoices.

Additional checks. The solution reviews accruals, uses historical payables to avoid reprocessing handled items, and highlights possible duplicate postings.

Clear results, people in control. Results are separated into exact matches, partial matches, and exceptions, so teams know where to focus. Routine comparison is automated, and uncertain items are left for finance teams to verify.