How a Leading Furniture Brand Automated Their Entire Release Process

A conversation with

Sneha Sivakumar

CEO of Spur

Company
Large Furniture Retailer
Industry
E-Commerce
Company Size
1001-5000
Founded
2003

Challenge

Before Spur, QA relied on a large manual regression checklist spanning key flows and devices. Each bi-weekly release required hours of line-by-line testing under tight same-day deadlines. This led to three issues: 25+ hours spent on manual regression per release, bugs still reaching production due to lack of continuous testing and monitoring, and overall development velocity slowed as QA became a bottleneck for experiments and improvements.

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Solution

The retailer used Spur’s AI-powered browser agents to fully automate regression testing. Within weeks, they went from 0% automation to 90% coverage with 300+ tests, running overnight and delivering results by 9 AM. Tests are written in plain English, require no code, and adapt to UI changes. Spur caught critical payment and add-to-cart bugs before release, and the entire manual regression spreadsheet was rebuilt into automated test suites in about three weeks.

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Results

10x Faster Deployment Velocity

10x
Faster Deployment Velocity
0-95%
Automation Coverage in <3 Weeks
5x
More A/B Tests Per Week

Spur changed how we work — and how we feel about releases. What used to be stressful, all-day regressions are now automated checks.

Chloe Lu

Manager, E-commerce Quality Assurance, Living Spaces

Challenge

High-Stress Release Days, Heavy Manual Regression

‍"Pre-release days were really, really stressful. One person would go in and do progression testing from end to end on our website, trying to cover all of the user flows."

Before Spur, the QA team relied on a massive, manually maintained regression checklist—hundreds of test cases across Account Management, PLP, PDP, Search, Cart, Checkout, and Desktop/Mobile variations. Every release required the team to manually work through this list line-by-line.

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**This is what regression looked like before Spur.**
A sprawling spreadsheet of hundreds of test cases—password rules, PLP faceting, PDP images, pagination, quicklook modals, ATC flows, search behaviors—all executed manually across desktop and mobile. Every two weeks, the QA team worked through this list from 9 a.m. to 11 p.m. for 2 days back to back, often staying up past midnight to validate production.

Three broad problem areas emerged

‍25+ Hours Spent on Manual Testing Every Bi-Weekly Release
Pre-release regression started at 9 AM and had to be completed before the 11 PM release that same night. Any bugs discovered meant troubleshooting, fixing, retesting, and starting regression over from scratch
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Bugs Reaching Production, Lack of Production Monitoring
Hard-to-catch issues slipped through to production, since manual testing could not keep up. It was also impossible to achieve continuous testing so production issues would often slip through the cracks. (e.g New Banners introduced by marketing, third party dependency changes etc)
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Team Development Velocity Bottlenecked by QA
‍ A/B testing, UX improvements, and design-system audits were slowed or deprioritized since QA was a bottleneck.
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In short: regression testing was duct-taped together with spreadsheets, late nights, and human endurance.

Automating 100% of Regression Testing with Spur

The Large Furniture Retailer deployed Spur's AI-powered browser agents to transform their release process:

Overnight automated regression:
Tests run in the early morning before the team arrives, delivering results by 9 AM.
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Zero-to-automation in weeks:
Coming from 0% automation background, the team achieved 90% coverage with 300+ tests in just two weeks.
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‍Natural language test creation:
No coding required; QA team writes tests in plain English that adapt to UI changes without constant script maintenance.
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Critical bug detection:
Spur caught payment processor issues and edge-case add-to-cart bugs that would have reached production, including issues that might have taken weeks to discover manually.

A typical smoke release now runs itself. The team reviews results in minutes—no more 4-hour cycles of manual testing, bug logging, repro steps, or report prep just to greenlight a deploy.

Full Regression Suite Rebuilt in ~3 Weeks

The massive spreadsheet of regression tests—hundreds of lines across Account, PLP, Search, PDP, Cart, and Checkout—was rebuilt inside Spur and scheduled as automated test suites.

What once lived in an Excel file became a fully automated regression engine.

Spur now provides:

Full execution logs
Video recordings
Human-readable assertions
Before/after snapshots
Exact timestamps for when a test first broke

Debugging and communicating with engineering became dramatically faster and clearer.

Automation Took Over the Repetitive Work

With regression off their plate, QA shifted from "button-clicking" to strategic quality initiatives:
• A/B test QA (~5 tests/week)
• design-system consistency audits
• edge-case and stress testing
• non-linear flow exploration
• SEO, email, and content QA

Spur became a cross-team quality engine, not just a test-runner.

"Spur is our first big win company-wide in terms of implementing the use of AI agents. When we were able to share this with our greater team, everybody was almost in awe of what we were able to achieve."