Optimizing Vendor Invoice Processing: A Guide to Tailored Matching Policies

This blog outlines best practices in matching policies for vendor invoice processing, considering various factors like vendor characteristics, purchase value, and GL account specifics.

1. Understanding Matching Policies

Matching policies are controls put in place to ensure that payments made to vendors are accurate, authorized, and for received goods or services. The most common types of matching include:

2. Vendor-wise Matching Policies

Implementing vendor-specific matching policies can streamline AI-led automation and mitigate vendor risks. Below is a table illustrating different scenarios and suggested policies:

VENDOR TYPEEXAMPLE SCENARIOSUGGESTED MATCHING POLICY
Trusted VendorLong-term supplier with a consistent delivery record2-way matching or manual approvals for transactions under a certain threshold
New VendorSupplier without an established relationship3-way matching for all transactions, regardless of size
High-Risk VendorSupplier with previous discrepancies in deliveries3-way matching with additional audits for the first few transactions
Frequent Small Purchases VendorSupplier for minor, recurring operational needsManual approvals or simplified 2-way matching for efficiency

3. Amount-wise Matching Policies

The value of the transaction should directly influence the level of scrutiny applied. Here are examples:

TRANSACTION VALUEEXAMPLE SCENARIOSUGGESTED MATCHING POLICY
High-ValueCapital equipment or large service contract3-way matching to ensure accuracy and prevent financial discrepancies
Medium-ValueOffice furniture, mid-size projectsMarketing Manager
Low-ValueOffice supplies, minor services2-way matching or manual approvals, prioritizing efficiency. This could be Invoice & GRN or Invoice & PO.
Micro-TransactionsSnacks for office, minor app subscriptionsManual approvals with periodic review for patterns or policy adjustments. Manual approval authority matrics for such purchases typically can be just 1 or 2 levels.

4. GL Account-wise Matching Policies

The nature of the expense also dictates the appropriate matching policy, as demonstrated in the table below:

GL ACCOUNT TYPEEXAMPLE SCENARIOSUGGESTED MATCHING POLICY
Capital ExpendituresPurchasing new machinery or buildings3-way matching to ensure accuracy, given the long-term impact
Operating ExpensesMonthly utility bills, rent payments Monthly utility bills, rent payments2-way matching or manual approvals for regular, expected expenses
Research and DevelopmentNew project development costs3-way matching to closely monitor and control investment in innovation
Marketing and AdvertisingCampaigns, promotional materials2-way matching, considering the varying scales and flexibility needed

5. Best Practices for Policy Implementation

6. The Role of AI in Implementing Matching Policies

AI algorithms will automate the extraction of relevant data from purchase orders, invoices, and receipts, regardless of format. AI can match these documents at scale, identifying discrepancies or mismatches between purchase orders, delivery notes, and invoices, thus enforcing the chosen matching policy without manual intervention.

AI systems can learn from historical transactions and adapt to the company’s purchasing patterns over time. This means that the system can identify which vendors or transaction types are more prone to errors and adjust the matching policy level accordingly. For instance, if a certain vendor frequently has discrepancies in invoices, the AI system can flag transactions with this vendor for more detailed reviews.

AI systems offer a high degree of customization, allowing companies to tailor matching policies based on specific criteria, such as vendor category, transaction size, or expense type. This flexibility ensures that the matching process is both efficient and aligned with the company’s risk management strategies.

Conclusion

In conclusion, adopting a strategic approach to matching policies in vendor invoice processing can significantly enhance financial accuracy, improve vendor relationships, and optimize operational efficiency. By considering vendor characteristics, transaction values, and the nature of expenses, businesses can implement a balanced and effective invoice processing system that safeguards against errors while maintaining efficiency in operations.