🛒 Synthetic Datasets: Retail & E-commerce

It is a robust web app that creates realistic, customizable datasets for retail analysis, testing, or machine learning, supporting up to 1 million records per dataset and 2TB of data with Python scripting. Featuring real-time data generation (refreshed every 5 seconds), ETL processing (cleaning, deduplication, validation, enrichment), and Chart.js-powered dashboards, it covers 13 key areas like sales, customer behavior, marketing, inventory, logistics, and sustainability, with export options in CSV, Excel, and JPG. Ideal for optimizing e-commerce operations, building ML models, or simulating retail data—contact me for a tailored dataset for any industry!