Client
GrowthLabs AI
Industry
E-Commerce
Tech Stack
Next.jsTypeScriptTensorFlowVercelStripeAlgolia
The Challenge
What We Were Up Against
GrowthLabs had a high-traffic store but a 1.2% conversion rate — well below the 3–4% industry benchmark. The legacy Shopify theme was slow (LCP 6.2s), and product discovery was entirely manual.
Our Solution
How We Solved It
We rebuilt the storefront ground-up in Next.js with server-side rendering, integrated a TensorFlow recommendation engine trained on purchase sequences, and ran 14 concurrent A/B tests on the checkout funnel.
01
Performance Audit
Core Web Vitals deep-dive revealed 3 critical bottlenecks: unoptimised images, blocking scripts, and no ISR caching.
02
Next.js Rebuild
Full storefront migration to Next.js 14 App Router with edge rendering for sub-200ms TTFB globally.
03
AI Recommendation Layer
Trained a collaborative-filtering model on 18 months of purchase sequences, deployed as a real-time API.
04
A/B Test Programme
14 parallel experiments across PDP layout, cart UX, and checkout steps using custom analytics instrumentation.
05
Checkout Optimisation
Removed 3 form steps, added express checkout, and integrated buy-now-pay-later — dropping abandonment by 28%.
The Impact
Measurable Results
Conversion rate grew from 1.2% to 5.3% (+340%)
Lighthouse performance score: 42 → 99
LCP improved from 6.2s to 0.9s
Average order value doubled with cross-sell AI
28% reduction in cart abandonment
"In six months we went from a leaky funnel to our most profitable quarter ever. The AI recommendations alone pay for the entire project monthly."
Priya Sharma
CEO, GrowthLabs AI
Key Outcomes
Conversion uplift340%
Average order value2.1×
Cart abandonment−28%
Lighthouse score99
