Merchant Financing System Using Transaction Data for Eligibility
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Solution Overview
Problem
Conventional financing methods for merchants require lengthy loan application processes and credit checks, making it difficult for them to obtain cash advances in a timely manner.
Innovation Solution
A merchant financing system that evaluates a merchant's financial transactions through a payment system to offer cash advances without the need for applications or credit checks, allowing merchants to receive funding based on their payment volume, with repayment deducted automatically from future transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional loan application processes are used, then financing can be obtained, but the process is lengthy and time-consuming
Solution Approach 1:
The system performs preliminary evaluation of merchant eligibility and calculates financing amounts automatically based on payment transaction data before the merchant actually needs funds. This pre-processing eliminates the need for lengthy application processes at the time of funding request, enabling rapid disbursement while maintaining thorough credit assessment.
2Ease of operation
If credit checks and loan applications are required, then financing can be approved, but the process becomes complex and cumbersome
Solution Approach 1:
The system enables self-service financing by automatically evaluating merchant eligibility and calculating financing amounts based on their existing payment transaction data. Merchants simply need to connect their payment processor to the system, and all credit assessments, documentation reviews, and financing calculations are performed automatically without requiring manual applications or credit checks from the merchant's side.
3Productivity
If traditional financing methods are used, then funds can be obtained, but the process requires extensive documentation and review
Solution Approach 1:
The system replaces manual mechanical processes of documentation review and credit assessment with automated electronic systems. The financing evaluation is performed automatically by processing payment transaction data electronically, eliminating the need for manual review of financial statements, tax returns, and other documentation. This substitution dramatically increases approval efficiency while reducing time loss.
Data Source
AI summary
In some examples, a payment server processes a plurality of transactions between a plurality of customers and a plurality of merchants, and trains a classifier with training data to obtain a trained classifier. The training data used for training the classifier includes the transaction information. The payment server inputs, to the trained classifier, information related to one or more transactions that are associated with a particular user, and may determine, based on an output from the trained classifier, an eligibility of the user to receive an offer for financing. The payment server generates the offer for the financing for an amount determined based at least in part on the eligibility of the user, and causes presentation of the offer on a computing device of the user. Based at least on receiving an indication of acceptance of the offer, the payment server sends an instruction for providing the financing.