The Risks of Fraud in B2B Lending and Factoring Origination Processes.
2 min readMar 9


Asset-based Lending and Factoring have been a mainstay of B2B financing for many years. These processes typically involve collecting data from the applicant, verifying that information, and using it to determine whether to approve or deny the loan application or factoring request. However, with the rise of fraud in recent years, traditional origination processes have become vulnerable to exploitation by fraudsters. In this blog post, we’ll discuss the risks associated with traditional origination processes in B2B lending and factoring and how to mitigate them.

B2B lending and factoring involve larger transactions and more complex verification processes than consumer lending. This complexity creates more opportunities for fraudsters to exploit the system. In B2B lending and factoring, the risks associated with traditional origination processes include:

  1. Fictitious Companies: Fraudsters can create fictitious companies to apply for loans or factoring, using fake invoices or other fraudulent documents.
  2. False or Inflated Invoices: Fraudsters can create false or inflated invoices to increase the amount of financing they can obtain.
  3. Identity Theft: Fraudsters can steal the identity of a legitimate company to apply for loans or factoring.
  4. Invoice Factoring Fraud: Fraudsters can use factoring to fraudulently obtain financing for fictitious or inflated invoices.

To mitigate the risks of fraud in B2B lending and factoring origination processes, lenders and factors should implement the following strategies:

  1. Robust Verification Process: Implement a robust verification process to ensure that the applicant is a legitimate business. This can include verifying business registration and tax information, and verifying the identity of the authorized signatories of the company.
  2. Data Validation: Validate the data provided by the applicant to ensure accuracy. This can include verifying the authenticity of invoices and cross-checking against public records.
  3. Fraud Detection: Use advanced fraud detection tools to flag suspicious activity and identify potential fraudsters. This can include using machine learning algorithms to analyze data patterns and detect anomalies.
  4. Faster Decision-Making: Streamline the origination process to reduce the time it takes to make a loan or factoring decision. This can be achieved by automating the underwriting process, reducing the number of manual steps, and leveraging data analytics to make faster, data-driven decisions.

At Harbr, we have a strong dedication to delivering advanced technological solutions that enhance origination efficiency, minimize fraud risk, and elevate customer experience, all while preserving the integrity of the lending and factoring process.

Photo by Growtika on Unsplash



Harbr provides AI-based document evaluation, data extraction, and decisioning insights as a fully protected integrated service.