How Retailers Can Offer Customer Financing and Increase ROI with POS Lending

When a retailer decides to offer financing to its customers, it has a binary choice about implementation. Retailers typically choose between two models: 

• third-party POS financing providers that charge per-transaction fees
• in-house SaaS platforms that allow them to retain control over financing terms, fees, and customer data.

This shift is part of the broader transformation toward embedded finance, where lending, payments, and credit decisioning are integrated directly into commerce infrastructure rather than delivered through standalone financial institutions. Embedded finance is now a key driver of checkout conversion optimization and revenue growth in modern retail systems.

Point-of-Sale (POS) Financing Explained

Point-of-sale (POS) financing, also known as buy now, pay later (BNPL), allows customers to access instant credit at checkout and repay in installments over time.

POS financing typically relies on real-time underwriting systems that evaluate creditworthiness within seconds using traditional credit bureau data and alternative behavioral signals.

Unlike traditional credit cards, POS financing is tied to a specific purchase, offering faster approvals and clearer repayment structures.

Adoption of buy now, pay later (BNPL) solutions has accelerated across retail environments due to demand for flexible, frictionless checkout experiences.

Retail Finance Moves From Credit Cards to Embedded Lending

Credit cards have historically dominated consumer lending, but their growth is slowing as installment-based financing expands, particularly among younger consumers.

Unlike revolving credit products such as credit cards, POS lending is structured as installment-based point-of-purchase financing, meaning repayment schedules are fixed and tied directly to individual transactions.

POS lending has emerged as the dominant alternative to revolving credit in embedded commerce environments. “Banks and other issuers still dominate retail lending through credit cards, but their lead is shrinking fast,” says Elena Ionenko.

This shift reflects a broader move toward transparent, installment-based consumer finance models and is particularly pronounced among younger consumers.

Retailers are responding by integrating POS financing into checkout flows to reduce cart abandonment and increase purchase completion rates.

Benefits of Offering Customer Financing in Retail

The adoption of embedded finance in retail environments directly impacts three core business metrics: conversion rate, average order value, and customer lifetime value. Industry data shows POS lending growth has significantly outpaced traditional credit products over the past decade, driven by digital commerce and fintech-enabled underwriting.

• Increase conversion rates and average order value – POS financing reduces friction at checkout by allowing customers to spread payments over time, increasing conversions and enabling higher-value purchases.

• Customer loyalty and lifetime value – flexible financing improves retention by aligning payment options with expectations for convenience and transparency. These systems also enable more personalized offers based on customer purchase history and behavior data.
• Cash flow and revenue flexibility – third-party providers typically pay merchants upfront while assuming credit risk. This distinction is key to understanding the tradeoff between operational simplicity and financial control. In-house financing models allow installment-based revenue collection, improving financial predictability and reducing reliance on seasonal demand cycles.

In-house financing allows retailers to collect installment payments over time, smoothing revenue and reducing seasonality. 

On the con side: 

• Credit risk, defaults, and fraud management in POS lending – credit risk management is a core challenge in POS lending, as approval decisions must happen in real time with minimal friction. Modern lending platforms rely on machine learning models trained on both traditional credit bureau data and alternative behavioral signals, improving accuracy and reducing default risk. Approval decisions in POS lending must be made in milliseconds, requiring automated underwriting models that balance conversion optimization with default risk exposure.
• Revenue predictability and seasonal cash flow management – this is a two-sided coin. If you go with a third-party provider, this isn’t a worry: as we’ve noted, the merchant takes immediate payment in full. Installment-based repayment models allow retailers to distribute revenue over time rather than relying on upfront payments, improving forecasting accuracy and budgeting stability. If you adopt an in-house SaaS approach where you’re the actual financier, payment for financed products and services comes in according to the agreed-on schedule. This creates a structural tradeoff between liquidity (third-party settlement) and margin capture (in-house financing models).

Third-Party vs In-House POS Financing Models

Third-party providers manage underwriting, credit risk, and payment processing for retailers, typically charging 2%–6% per transaction plus additional fees while retaining control over customer data and lending models. 

While third-party providers reduce operational complexity, they limit control over pricing strategy, customer experience, and financial data ownership. This model is commonly used by retailers prioritizing operational simplicity and immediate cash flow over long-term financing revenue capture.

SaaS-Based In-House Financing Platforms

SaaS platforms enable retailers to embed lending directly into checkout systems, integrating credit decisioning, loan origination, and repayment management into a single environment. This integration also allows retailers to adjust financing terms dynamically based on customer segments, purchase behavior, and promotional strategies.

In-house financing platforms also enable better alignment between marketing, sales, and financial operations by consolidating customer data into a single system. 

Why SaaS-Based Retail Finance Gives Retailers More Control

SaaS-based financing platforms give retailers full control over pricing, lending rules, and customer experience without relying on third-party institutions. This shifts financing from a cost center into a revenue-generating layer of the retail stack.

Retailers retain interest revenue and can design flexible financing programs such as promotional offers and interest-free periods. These platforms provide ownership of customer data, enabling insights into purchasing behavior, credit performance, and marketing effectiveness. This data can also be used to optimize credit policies, segment customers, and improve marketing efficiency across acquisition and retention channels.

AI and Automation in Retail Finance

Artificial intelligence is transforming retail finance by enabling real-time credit decisions, improving risk assessment, and automating loan approvals. These systems are essential for scaling POS lending because they eliminate the latency of manual underwriting while maintaining acceptable risk thresholds at checkout.

• AI credit scoring – AI combines traditional credit bureau data with behavioral and transactional signals to improve accuracy and lending inclusivity. These systems improve inclusion by enabling credit assessment for customers with limited traditional credit histories.
• Fraud detection and risk management – automated systems detect anomalies in real time, reducing fraud and improving loan performance. Fraud detection systems operate in real time, reducing financial losses while maintaining seamless customer experience.
• Operational efficiency – automation reduces manual underwriting and accelerates loan processing. Automation also reduces operational overhead, allowing retailers to scale financing programs without proportional increases in staffing. 

“We’re providing a 360-degree view of retail-financing applicants at any point of sale, and in mere seconds,” says Ionenko. “These tools help lenders assess and respond to borrowers in ways that encourage timely repayment, and provide them with the operational flexibility they need to compete effectively.”

The Future of Retail Finance and Embedded Lending

Retail finance is becoming increasingly embedded into commerce, with financial services integrated directly into checkout experiences. The convergence of embedded finance, real-time payments infrastructure, and AI-driven underwriting is redefining retail finance as a core layer of commerce infrastructure rather than a peripheral financial service.

As fintech partnerships expand and regulatory frameworks evolve, retail finance is becoming more data-driven and AI-automated. As a result, competitive advantage in retail is increasingly shifting toward platforms that can control both the transaction layer and the financing layer of commerce. Retailers that integrate financing directly into checkout infrastructure are increasingly able to control both conversion and monetization layers of the customer journey.

To see how modern retailers are deploying embedded finance to increase conversion and control, book a demo with TurnKey Lender, the leading SaaS platforms in retail lending infrastructure.