Retail Analytics for store optimization and demand forecasting скачать в хорошем качестве

Retail Analytics for store optimization and demand forecasting

📊 Retail Demand Forecasting & Sales Optimization – End-to-End Data Science Project In this video, I walk you through a complete data science project where I analyze retail store performance, forecast weekly sales, segment stores and departments, and evaluate a marketing campaign using causal inference. 🚀 Key Highlights: Exploratory Data Analysis (EDA) Time Series Forecasting (Holt-Winters, SARIMAX, Random Forest) Store & Department Clustering using PCA + KMeans Market Basket Analysis with Apriori Impact analysis of a simulated marketing campaign using CausalImpact Strategic business recommendations based on insights 💡 Ideal for: Data science enthusiasts, students, and professionals interested in real-world retail analytics! 📁 Project GitHub Repo: https://github.com/souvik-karmakar/re... Don't forget to like, share, and subscribe for more insightful content! #DataScience #RetailAnalytics #TimeSeriesForecasting #MachineLearning #CausalInference #Python #ProjectWalkthrough #YouTubeDataScience