Buy Now Pay Later software
for digital lenders

HES LoanBox for BNPL is built for organizations that run their own buy now pay later program. It fits five types of buyers.

1. BNPL fintechs launching a pay-in-4 or installment product, or moving an existing book to a new platform.
2. Banks and credit unions adding installment options to cards and current accounts, so customers split purchases inside the bank's own app.
3. Payment providers and acquirers offering white-label BNPL to merchants already on their network.
4. Retailers and marketplaces that want a branded installment plan with their own credit rules.
5. Lenders offering B2B pay-later terms to business buyers.

All of them want to set their own pricing and keep the borrower relationship, rather than pass it to an external BNPL provider.

HES FinTech does not lend to shoppers. If you want to split a purchase, use a BNPL provider directly.

These figures represent the upper bound of typical outcomes BNPL programs achieve after deploying HES LoanBox buy now pay later software and GiniMachine across the BNPL lifecycle. Specific client results range from 5× faster to sub-minute decisioning, from 15% to 70% Gini index uplift versus bureau-only scorecards, and from 19% to 76% reduction in non-performing loans, depending on portfolio size, market, and existing process maturity. Every figure is supported by both documented HES client outcomes and independent industry research.

90% quicker BNPL decisions. Speed matters more in BNPL than in any other consumer credit product, because the buyer is one click away from cart abandonment. Personalized Loans (Canada) cut time-to-yes by 80% using GiniMachine scoring. CashU/Smart Finance auto-grants loans in under a minute. Idea Bank (Poland) processes loan applications 5× faster on the same platform. Industry research backs this range: McKinsey documents leading lenders bringing time-to-yes down to 5 minutes and time-to-cash to under 24 hours, with 40% lower costs across the journey.

3× scoring accuracy. BNPL underwriting runs on thin signals, many buyers are first-time or have no bureau file at all, so model quality decides the approval rate. Personalized Loans lifted decision accuracy by training GiniMachine on its own funded portfolio rather than generic bureau scores. ID Finance has run HES LoanBox since 2012 across multiple consumer credit markets, retraining scorecards on cohort outcomes as buyer behavior shifts. Independent benchmarks confirm the range: Richmond Fed research on BNPL underwriting shows that lenders using behavioral and transaction-level data materially outperform bureau-only scoring, with the gap widening for thin-file and subprime cohorts that BNPL approves heavily.

40% fewer non-performing installments. BNPL late-payment rates have climbed from 34% in 2024 to 47% in 2026 (LendingTree), so any model that catches risk earlier directly protects the book. MobiCom (Mongolia) reduced NPL from 18.9% to 4.4%, a 4× decline, over 17 months using GiniMachine scoring. NEO Finance holds 81% non-overdue loans on the same scoring stack. Industry research confirms the range: McKinsey reports credit-loss reduction of 20–30% through earlier AI-driven detection, and CFPB's December 2025 BNPL report shows charge-off rates dropping among providers using continuous scoring versus static rules.

Results vary by deployment, market segment, and existing process maturity. Figures combine documented HES FinTech client outcomes and published research from McKinsey, Richmond Fed, CFPB, and LendingTree.

HES FinTech does not lend to shoppers and is not a BNPL provider. We build the software that banks, fintechs, payment companies, and retailers use to run their own buy now pay later programs under their own brand. You set the credit policy, hold the loan book, own the customer data, and keep the merchant relationships. HES LoanBox supplies the engine underneath: checkout widget, decisioning, servicing, and collections.

The difference matters commercially. With a pure-play BNPL network, you rent their balance sheet, their rules, and their take rate. With buy now pay later software, the program is yours end-to-end, and so is the margin. That is why our clients are lenders and platforms launching BNPL, not consumers looking to split a purchase.

Build only if BNPL technology itself is your competitive edge and you can fund a team to maintain it for years. A working stack covers the checkout widget, real-time decisioning, plan servicing, collections, payment rails and fraud checks, and each part needs updates as scheme rules and regulation change (in the UK, FCA rules for BNPL apply from 15 July 2026). For most lenders that means several quarters of engineering before the first plan is funded.

If your edge is the credit program, meaning pricing, risk appetite, merchant relationships and the customer experience, buying is usually faster. You configure products and rules on a platform that already runs in production, and your engineers work on checkout UX and your own risk models.

There is also a route between the two. HES LoanBox gives you a configurable core, and if you want full control, the license and source code can be transferred so your team extends the platform in-house. Launch takes from three months, depending on scope.

Start with your program model. A direct pay-in-4 product and B2B trade credit sold through merchants need different things, so the model decides what you ask the vendors on your shortlist.

1. Which product and rule changes can your team make without a vendor release? Ask to see a new plan type configured live.
2. How fast does a decision come back inside checkout, and which thin-file data can you connect?
3. What happens to an active plan after a partial refund or a dispute? Check merchant settlement too.
4. Can your scorecard run next to the vendor's model, so you compare first-payment defaults on your own applications?
5. Where are affordability checks and fee caps set for each market, and what records does your compliance team get?
6. What will you pay at your target volume? On small tickets, per-loan fees often outweigh per-seat pricing.
7. If you leave, how do you take your data, and can the source code be transferred?

If most answers point to configuration, you can launch without waiting on the vendor's roadmap. A custom build is still reasonable when your model needs one and the vendor fits otherwise.

HES LoanBox runs standard BNPL models on no-code settings and adds custom logic on the same platform when needed. Launch takes from three months, depending on scope. Users are unlimited, and source-code ownership is available as an option.