ecommerce-analytics

100% open-source, AI-native web analytics with cookieless tracking, open exports, custom domains, and SSO—self-hosted as one Go binary or managed in EU/US cloud.

A fully interactive data storytelling dashboard for e-commerce analytics. Built with Python, Streamlit, and Plotly, it transforms transactional data into actionable insights through KPIs, cohort retention, RFM segmentation, and global visualizations, perfect for analysts and data scientists.

Free AI agent skill for searching and analyzing 10M+ ecommerce stores — GMV, tech stack, contacts, and competitor data, powered by EcCompass.AI.

Amazon product data extraction tool

AI agent for answering SQL-based questions using LLaMA and FastAPI

AI-powered multi-brand ad management platform. Track real profit across Shopify + Meta, Google, TikTok & Snapchat ads in one dashboard. Automated ROAS analysis, COGS-aware P&L, Telegram alerts, and AI recommendations. Built with Next.js 15, Drizzle ORM & Neon PostgreSQL.

Power BI dashboard analysing e-commerce sales performance using real transactional data.

基于 Spark 的亿级电商用户行为深度分析与可视化系统 | Intelligent Ecommerce Analytics Platform

End-to-end E-Commerce Analytics project using Python, SQL, and Power BI featuring customer segmentation, sales analysis, RFM modeling, KPI dashboards, and business insights.

End-to-end analytics system identifying high-risk sellers and revenue exposure in an e-commerce marketplace using Excel, PostgreSQL, and Power BI.

Full-stack sales analytics for 80k+ Flipkart listings. Features a Python-to-SQL ETL pipeline and interactive Power BI dashboards for inventory and seller auditing.

Job-ready data analyst portfolio showcasing end-to-end analytics workflows using SQL, Python, Power BI, Tableau, and Excel. Includes dashboards, data cleaning, advanced SQL, and business insights across SaaS, ecommerce, marketing, operations, and finance.

End-to-end E-Commerce Sales Analysis using SQL, Python, Power BI, and interactive dashboards for business intelligence and decision-making.

AI Context Stack Agent: Google OKF + MCP with Gemini — Knowledge-Grounded AI Agent for E-Commerce Analytics

Configurable Codex Skill for cross-border e-commerce product intelligence, using EchoTik by default and validated platform adapters to generate daily Top-20 GMV and seven-day trend XLSX reports.

A lightweight enterprise data analysis workflow for retail and e-commerce scenarios.

Global Amazon sales analytics project using Power BI to analyze 50K+ ecommerce records and uncover sales trends, market performance, and category insights.

End-to-end E-commerce Data Analysis using PySpark: Customer Segmentation (RFM), Market Insights, and Logistics Performance Dashboard.

This project aims to analyze e-commerce data to derive meaningful insights about customer behavior, sales trends, and product performance. We utilize Python, MySQL, and various data visualization libraries to perform the analysis.