PlutusLane is a real e-commerce system built for a Delhi-based brand. It's not a template—it's a custom-built engine made to handle serious growth.
We combined a smooth streetwear shop with a powerful backend that handles bulk corporate orders, all powered by a smart AI that knows the business inside out.
"This is not a template build. It is a fully engineered commerce system."

The client needed more than just a store. They needed a system that could handle different kinds of buyers—from retail shoppers to corporate teams—without the slow, clunky feel of a normal template.
We built a fast, custom engine that handles the heavy lifting on the server, ensuring everything stays smooth and secure for the user.
| Layer | Implementation |
|---|---|
| Frontend | Next.js 15 (App Router) + React 19 |
| Styling | Scoped CSS Modules + Dynamic Design Tokens |
| Database | PostgreSQL via Prisma ORM |
| Auth | Next-Auth (Credential + Prisma Adapter) |
| AI Layer | Wizard AI (RisingTecho Engine) |
| Rendering | ISR + SSR hybrid strategy |
| Media | next/image (Zero CLS implementation) |
A smart assistant that speaks English and Hindi. It knows your store policies and can guide customers to the right product or help them with payments and refunds.
An AI for the business owner. It looks at sales trends and suggests which items to restock next, giving you a high-level summary of how the business is doing.


A custom dashboard built to show sales and order growth instantly. No heavy outside libraries—just fast, clean code that loads in under a second.
Customers never lose their items. Whether they are logged in or just browsing as a guest, their cart stays perfectly synced.
Built for speed. Pages load instantly, and the site is engineered from the ground up to rank high on Google.
Centralized design tokens using a Luxury Gold / Black palette. Layered premium shadows and micro-interactions without layout shift.
The AI doesn't just track inventory; it predicts it. By analyzing sales velocity, it suggests exactly when to restock items before they sell out, preventing lost revenue during peak demand.
It identifies high-converting product pairs. The dashboard suggests "Power Bundles" based on real customer behavior, directly increasing the Average Order Value (AOV) by up to 22%.