Published 
October 13, 2025

Duplicate Statement Detection

Duplicate statement detection is the process of identifying when the same bank statement or document has been submitted more than once. It helps MCA brokers and funders keep packets clean, prevent confusion, and avoid wasting time on repeat files.

What Is Duplicate Statement Detection?

Duplicate statement detection refers to checking submissions for re-sent or repeated statements. In MCA and small business lending, brokers sometimes resend the same statement in multiple submissions or attach the same document twice in a packet.

Detecting duplicates makes sure only one clean version of the file is used for underwriting.

Duplicate detection typically appears during intake and scrubbing. Operators use it to keep CRMs free of clutter and to stop underwriters from reviewing the same document more than once.

How Does Duplicate Statement Detection Work?

Duplicate statement detection works by comparing incoming documents to existing files in the system.

  • File scan: New submissions are reviewed for metadata and content.
  • Comparison: Files are compared against previous packets to check for identical or near-identical copies.
  • Flagging: If a duplicate is detected, the system flags it as already received.
  • Action: Duplicates are either suppressed, removed, or noted to avoid repeat review.

Heron builds this step into its automated scrubbing.

  • Submission capture: Bank statements are ingested through email, portal, or API.
  • Duplicate review: Heron compares incoming statements to recent submissions for the same applicant.
  • Flag generation: Re-sent or duplicate statements are flagged automatically.
  • Structured output: The CRM is updated to note duplicates while keeping only the required files for underwriting.

This keeps packets lean, reduces manual checking, and prevents wasted effort.

Why Is Duplicate Statement Detection Important?

For brokers and funders, duplicates cause inefficiency and confusion. Without detection, underwriters may review the same statement multiple times, slowing down decisions and cluttering records.

Automation removes that problem. With Heron, duplicate detection keeps submissions organized, improves accuracy, and ensures packets contain only the documents needed for funding decisions.

Common Use Cases

Duplicate statement detection is applied across high-volume intake workflows.

  • Flagging when an ISO resends the same monthly bank statement.
  • Catching multiple copies of a statement inside a single packet.
  • Preventing duplicate documents from being written into the CRM.
  • Keeping underwriting queues clear of redundant files.
  • Reducing wasted review time on already-processed statements.

FAQs About Duplicate Statement Detection

How does Heron detect duplicate statements?

Heron reviews incoming submissions for repeated files by comparing document content and metadata. If duplicates are found, they are flagged automatically in the workflow.

What outputs should teams expect from duplicate detection?

Teams see clean packets in the CRM with duplicates flagged or removed. Notes in the system show when a document was already received.

Why is duplicate statement detection important for efficiency?

It prevents underwriters from reviewing the same document more than once, reduces clutter in CRMs, and shortens processing time by keeping packets streamlined.