Case Studies

Problem → Solution → Result. E-commerce, RAG, and SEO.

The AI Shopping Assistant

Problem
An e-commerce brand wanted to reduce support load and increase conversion by letting customers ask product questions in natural language.
Solution
We built a Next.js storefront with a RAG-powered shopping assistant: product catalog in a vector DB, Vercel AI SDK for chat, and Stripe for checkout.
Result
Faster answers and higher add-to-cart rates from qualified visitors.
E-commerce + RAG

The Legal Knowledge Base

Problem
A small legal team needed to query internal memos and precedents without manual search or exposing sensitive data.
Solution
We implemented a small-scale RAG system with secure embeddings, access control, and a simple "chat with your docs" UI.
Result
Legal staff found relevant context in seconds instead of hours.
Small-scale RAG

The Global Store Locator

Problem
A global retailer needed location pages to rank and convert while keeping build and content manageable.
Solution
We delivered a Next.js store locator with SSR, schema markup, and a headless CMS for locations and regions.
Result
Strong organic visibility and lead growth from local search.
SEO / Next.js