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#

retail-analytics

Here are 438 public repositories matching this topic...

A modularized SDK library for Amazon Selling Partner API (fully typed in TypeScript)

  • UpdatedFeb 19, 2026
  • TypeScript

Predict the profitability of potential coffee shop locations using SQL and Python. Combines data engineering with feature-rich regression modeling, visual analytics, and business insights to support data-driven site selection and retail decision-making.

  • UpdatedOct 23, 2025
  • Python

Python project for Market Basket Analysis. Generates synthetic retail transactions, mines frequent itemsets using Apriori & FP-Growth, derives association rules, and outputs CSVs + visualizations. Portfolio-ready example demonstrating data science methods for uncovering product co-purchase patterns.

  • UpdatedOct 16, 2025
  • Python

A complete exploratory data analysis (EDA) and forecasting project focused on retail sales data. The project identifies key sales patterns, seasonal trends, and builds predictive models to forecast future demand at the item-store level.

  • UpdatedJun 18, 2025
  • Python

Analyze retail sales data using SQL and Python. Build a SQLite database from CSV, run SQL queries for key KPIs (revenue, top products, AOV, trends), and visualize results with Matplotlib. A portfolio-ready project demonstrating SQL + data analytics + reporting automation.

  • UpdatedOct 19, 2025
  • Python

A powerful eBay scraper built with Scrapy that extracts product listings, prices, seller data, and auction information from eBay marketplaces worldwide. Features anti-bot protection, price intelligence, multi-format export (CSV/JSON), and global eBay site support.

  • UpdatedJul 10, 2025
  • Python

Architected a high-performance predictive pipeline processing 15 Million transactions. Optimized memory by 70% via custom downcasting and implemented Tweedie-LightGBM to solve zero-inflation in retail demand. Delivered a 28-day future forecast for Walmart inventory with high-precision RMSE of 2.20.

  • UpdatedFeb 3, 2026
  • Jupyter Notebook

A real-time Retail Shelf Monitoring System using computer vision and machine learning. Detects out-of-stock products, misplaced items, and ensures planogram compliance through intelligent video analytics and a desktop management interface.

  • UpdatedNov 6, 2025
  • Python

This repository contains results of the completed tasks for the Quantium Data Analytics Virtual Experience Program by Forage, designed to replicate life in the Retail Analytics and Strategy team at Quantium, using Python.

  • UpdatedOct 30, 2023
  • Jupyter Notebook
starbucks-logo-segmentation

A real-time bidirectional people counting and foot-traffic analytics system powered by YOLOv11 and OpenCV. Features multi-object tracking (MOT), dual-polygon region-of-interest (ROI) logic for entry/exit detection, and automated video reporting. Perfect for retail analytics and smart occupancy monitoring.

  • UpdatedJan 8, 2026
  • Python

A retail analytics capstone that converts transactions into a calendar intelligence system. It quantifies day-of-week and monthly seasonality, builds a baseline expected revenue model, detects event-like spike days using robust residual z-scores, and explains spikes via transactions, units, AOV, and category mix, with a Streamlit dashboard+exports.

  • UpdatedJan 31, 2026
  • Python

A Data Analysis project performing Exploratory Data Analysis (EDA) on Global Electronics' data to uncover insights that enhance customer satisfaction, optimize operations, and drive business growth.

  • UpdatedNov 8, 2024
  • Jupyter Notebook

International electronics retail analysis across 15+ countries using 50K+ sales records | Power BI, SQL, Python, DAX, Interactive Dashboards

  • UpdatedDec 19, 2024
  • Jupyter Notebook

AI-driven retail analytics platform with predictive inventory management, dynamic pricing, and marketing optimization for Walmart Sparkathon 2025

  • UpdatedJul 28, 2025
  • JavaScript

This project looks at the sales pattern of a product category in a retail store, using the store’s transaction dataset and identifying customer purchase behavior, to generate insights and recommendations.

  • UpdatedJan 25, 2023
  • Jupyter Notebook
deepvision-counter

AI-powered real-time people counting system using YOLOv8. Cross-platform desktop app for retail, restaurants, offices, and events. 100% offline, privacy-first.

  • UpdatedJan 14, 2026
  • Python

This project is based on supply chain analytics along with demand forecasting and inventory management of the top selling product. Demand forecasting is done by using the prophet time series model. Also, the dashboard consists of all the important insights related to customers, products, orders as well as the forecasting outcomes.

  • UpdatedApr 16, 2024
  • Jupyter Notebook

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