Case Study · E-commerce / Fashion Retail

Discount codes were quietly losing them revenue. Nobody noticed until we automated the cart.

A fashion e-commerce client was running manual regression on every release — checkout, cart, discount codes, payment methods. The whole buying journey. It took the better part of a day, every release. And the highest-risk area — discount and cart logic — was exactly the fiddly thing tired testers were spot-checking. We built the regression suite in Java with Selenium and RestAssured. Nine weeks later, the team shipped weekly without thinking about QA.

Real project — client anonymized under NDA Java-first stack
Industry
E-commerce / Fashion
Region
Pakistan / international
Engagement
9 weeks
Stack
Java · Selenium · RestAssured
The Problem

What was actually going wrong.

An online fashion store with the usual surface: product catalog, size and variant selection, shopping cart, guest and logged-in checkout, several payment methods, discount and promo codes, user accounts with order history. Before every release, a tester had to walk every critical path by hand: browse, search, add to cart, update cart, apply a discount, check out as guest, check out logged in, try each payment method, confirm the order, check the confirmation email. Doing it properly took most of a day.

The discount and promo logic was the worst. Stacked codes, expired codes that still applied, promo prices that didn't match cart subtotals — the kind of fiddly bugs nobody noticed until the finance reconciliation at month-end showed a revenue gap.

Why It Mattered

The business cost of getting it wrong.

Every bug in the cart-to-confirmation path is a potential abandoned sale. A customer who hits a broken discount code, a checkout that errors on a particular payment method, a cart that loses items on update — none of these generate a support ticket. They generate a silent lost order. And in e-commerce, the bugs that cost the most are the ones that look fine until you check the daily revenue.

What We Did

The work, specifically.

No vague phrases. Every item below is a real piece of the engagement.

The Result

What actually changed.

Most of a day → ~2h
Manual regression collapsed to a fast automated run that ran on every release instead of only the big ones
Exhaustive discount coverage
The cart and promo logic — where revenue actually leaks — got systematic coverage instead of a tired-tester spot check
Faster shipping cadence
Verifying a release no longer meant blocking a person for a day
The Stack

Tools we actually used.

No tools listed for show. Each one earned its place in the real engagement.

Java Selenium 4 RestAssured TestNG Maven GitHub Actions Allure
Risks Eliminated

What we made harder to ship by accident.

Each of these used to be a way the platform could quietly fail. Now each one has a named, explicit automated test.

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