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Unlocking Instant Cash Flow for Businesses Using AR Factoring Platform

Overview

The client partnered with NeenOpal to build a modern AR Factoring platform tailored for gas station businesses in the fuel and energy retail sector. The objective was to enable faster access to working capital by advancing funds against card-based receivables, while maintaining strong risk controls, compliance, and operational scalability. NeenOpal brought this vision to life by designing a fully automated, cloud-native solution that seamlessly manages onboarding, funding, repayment, and auditability.

99.9%+

Workflow Execution Reliability

<2s

Funding Decision Processing (P95)

100%

Automated Funding Coverage

0

Manual Funding Interventions

100%

Audit Logging Coverage

<5s

End-to-End Data Sync Latency

90%+

Automated Workflow Test Coverage

Customer Challenges

The client identified an opportunity to address cash flow inefficiencies in the fuel and energy retail sector. However, building a receivables-backed financing solution for gas station businesses required overcoming several operational, regulatory, and risk-related challenges.

Manual and Fragmented Risk Assessment

Traditional underwriting and verification processes were manual, time-consuming, and not designed for daily receivables-based funding decisions.

Compliance-Heavy Onboarding Requirements

Meeting KYC, KYB, banking, and agreement-signing requirements at scale introduced complexity during merchant onboarding.

Lack of Automated Funding Decisions

Evaluating receivables, credit availability, advance rates, and pricing in real time required a highly automated decisioning engine.

Capital Protection and Repayment Governance

Ensuring principal recovery, fee prioritization, and surplus handling demanded a strict and auditable repayment framework.

Scalability and Auditability

The platform needed to support high daily transaction volumes while maintaining a complete historical audit trail for compliance and reporting.

AR Factoring Platform Architecture

This architecture shows how receivables data is ingested, evaluated through automated decision logic, and processed for funding and repayment within a cloud-native system, enabling real-time disbursements, strong risk controls, and full auditability.

 

Solutions

NeenOpal designed and implemented an end-to-end AR Factoring platform that automates the full receivables financing lifecycle for gas station businesses.

01.

End-to-End Automated Risk & Onboarding

The platform begins with digital onboarding, including business and owner verification, bank account validation, and financial declaration review. In-app agreement signing ensures a seamless and compliant onboarding experience.

02.

Daily Receivables Processing & Funding

Once onboarded, daily receivables are securely ingested from card processors. The system evaluates each receivable using real-time credit availability, configurable AR allocation, advance rates, and dynamic risk-based pricing. Approved receivables are automatically funded and disbursed through integrated banking partners.

03.

Principal-First Repayment & Risk Controls

Incoming settlements are processed through a strict waterfall repayment model that prioritizes principal recovery before fees. Automated suspension and reactivation rules mitigate prolonged non-payment risk, while SCD Type 2 tracking preserves a complete historical record of receivable state changes.

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Services

Middesk

Middesk

Dropbox

Dropbox

AWS Lambda

AWS Lambda

AWS S3

AWS S3

AWS RDS (PostgreSQL)

AWS RDS (PostgreSQL)

AWS CloudWatch

AWS CloudWatch

React + TypeScript

React + TypeScript

Django REST Framework

Django REST Framework

Plaid

Plaid

Benefits

Faster Access to Working Capital

Gas station businesses gained quicker and more reliable access to working capital, enabling them to manage inventory, operations, and growth opportunities without delays.

End-to-End Automation

Funding, repayment, and reconciliation workflows were fully automated, reducing manual intervention, minimizing errors, and improving operational efficiency.

Enhanced Capital Protection

A principal-first repayment logic was implemented to prioritize capital recovery, strengthening risk management and safeguarding lender investments.

Scalable High-Volume Architecture

The architecture was designed to handle high transaction volumes efficiently, ensuring consistent performance as the platform scales.

Auditability and Compliance Readiness

Structured workflows and transparent data tracking enabled complete auditability, supporting regulatory compliance and long-term governance requirements.

Conclusion

With NeenOpal’s support, the client successfully established a modern AR Factoring solution tailored for gas station businesses in the fuel and energy retail sector. By automating verification, risk assessment, funding, and repayment workflows, the platform bridges the gap between daily card sales and delayed settlements—unlocking faster cash flow and enabling future expansion across receivables-based financial products.

FAQ

Here are some common questions about building and scaling an AR factoring platform for receivables-based financing:

How does an AR factoring platform work for gas station businesses?

An AR factoring platform advances funds against daily card receivables. It ingests transaction data, evaluates risk and credit limits in real time, and automatically disburses funds while managing repayments through incoming settlements.

How is risk managed in automated receivables-based financing?

Risk is controlled through real-time credit checks, dynamic advance rates, and a principal-first repayment model. Automated rules for suspension, reactivation, and audit tracking help ensure capital protection and compliance.

Can the platform handle high transaction volumes securely?

Yes. A cloud-native architecture enables the platform to process large volumes of daily transactions with low latency, while maintaining full audit logs and ensuring reliability, scalability, and regulatory compliance.

Authors

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Dhruv Chowdary Senior Associate Consultant
Author Image
Madiha Khan Content Writer

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