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Generate synthetic consumers and their weekly purchase history using AI. Create synthetic data with detailed profiles, shopping habits, and consistent spending patterns.
This repository has been archived on 2026-03-21. You can view files and clone it, but you cannot make any changes to its state, such as pushing and creating new issues, pull requests or comments.
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README.md

Synthetic Consumers Data Generator

A NextJS application that makes use of Anthropic models via Vercel AI Gateway to generate synthetic consumers and their weekly purchase history. For creating synthetic datasets for retail/e-commerce applications with believable user behaviors and spending patterns.

🌟 Features

  • Generate detailed synthetic consumers including:
    • Consumer demographics and household details
    • Daily routines and activities
    • Shopping preferences and brand loyalties
    • Financial patterns and spending habits
    • Contextual behaviors and upcoming events
  • Create realistic weekly purchase histories that match consumer profiles

🚀 Getting Started

  1. Install dependencies:
yarn install
  1. Set up your environment variables:
cp .env.example .env
  1. Build and start the application:
yarn build
yarn start

For development:

yarn dev

🛠️ Available Scripts

  • yarn start - Start the production server
  • yarn dev - Start development server with hot reload
  • yarn build - Build the TypeScript project
  • yarn lint - Run ESLint with automatic fixes
  • yarn format - Format code using Prettier
  • yarn typecheck - Check TypeScript types
  • yarn prepare - Install husky
  • yarn audit - Run audit
  • yarn vercel:link - Link Vercel project
  • yarn vercel:env - Pull .env from Vercel

⚠️ Disclaimer

The consumers and purchase histories generated by this tool are fictional and should not be used as real user data. They are intended for testing and development purposes only.