CommerceLens Headless AI
Project Overview
CommerceLens Headless AI is a composable storefront and multi-modal semantic product discovery engine built by Eternitech for an omnichannel B2B/D2C technical distributor managing 120,000+ SKUs across four regional warehouses.
The Architectural Challenge
A monolithic legacy storefront suffered from 4.8-second mobile Largest Contentful Paint (LCP), eroding Core Web Vitals rankings, while keyword-only catalog search returned zero results whenever buyers searched by natural-language symptom, compatibility spec, or replacement part description.
Engineering Solution & Tech Stack
Using the Strangler Fig migration pattern to protect every existing organic URL, Eternitech launched an edge-cached Next.js App Router storefront backed by hybrid vector + lexical catalog discovery and sub-second warehouse inventory synchronization.
- Zero-SEO-Drop Strangler Migration: Preserved 100% of legacy URL slugs, canonical tags, and Product/Offer JSON-LD schema while cutting mobile LCP from 4.8s to 0.7s.
- Hybrid Semantic + Part-Number Search: Combines exact SKU/MPN prefix matching with multi-modal embeddings so buyers can search "corrosion-resistant 24V solenoid valve for marine washdown" and land on exact compatible assemblies in under 90ms.
- AI Compatibility Copilot: Embedded PDP assistant verifies dimensional specs, voltage compatibility, and real-time regional warehouse stock before checkout.
- Event-Driven WMS & Tiered Pricing: Redis edge caches synchronize B2B contract price books and multi-warehouse inventory deltas via idempotent webhooks.
Quantified Production Outcomes
| Metric | Legacy Monolith | CommerceLens Production |
|---|---|---|
| Mobile Largest Contentful Paint (LCP) | 4.8 seconds | 0.7 seconds |
| Zero-Result Catalog Searches | 23.5% of queries | 2.1% of queries |
| Organic & Search-Led Checkout Conversion | Baseline | +34% lift in 90 days |
Planning a storefront replatforming or AI catalog upgrade? Review our Composable Ecommerce Architecture or generate a 60-second project estimate.
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