Locked — AI-Native Apparel Store
SoftX

Locked — AI-Native Apparel Store

Direct-to-consumer apparel with AI-generated product photography

Industry:E-Commerce / Apparel
Project Duration:In development
Next.jsNeo4jE-Commerce

Project Overview

Locked is a SoftX internal venture: a direct-to-consumer branded apparel store that uses AI-generated product photography. It is built with Next.js and a Neo4j graph database.

The Challenge: Standing Up a Branded Apparel Store

Launching a direct-to-consumer apparel brand means solving for expensive product photography and modelling how products, variants and collections relate — all behind a fast, modern storefront.

Key Pain Points:

1

Product photography for apparel is expensive and slow to produce

2

A store needs to model relationships between products, variants and collections

3

A direct-to-consumer brand needs a fast, modern storefront

The Solution: AI Photography on a Graph-Backed Store

Locked builds its catalogue with AI-generated product photography, models the relationships between products in a graph database, and presents it all through a Next.js storefront.

Our Approach:

Generate product photography with AI to build the catalogue

Model the catalogue in Neo4j to capture product relationships

Build the storefront with Next.js

Key Features

The core capabilities that make it work

AI-Generated Product Photography

Product imagery is generated with AI, reducing the cost and time of a traditional photo shoot.

Graph-Modeled Catalogue

The catalogue is modeled in Neo4j to capture how products, variants and collections relate.

Next.js Storefront

A modern storefront built with Next.js for the direct-to-consumer experience.

Technology Stack

Cutting-edge technologies powering the solution

Frontend

Next.jsReactTypeScript

Data

Neo4j

Imagery

AI-Generated Product Photography

Product Highlights

Factual highlights — what the product does and how it is built

Internal SoftX venture (no public URL yet)

AI-generated product photography

Catalogue modeled in a Neo4j graph database

Storefront built with Next.js

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