Power BI dashboard analyzing Blinkit's sales by category, outlet size, and location with key insights.
Repository name: Retail-Innovation-Analytics-Platform Description: A retail analytics project for exploring sales performance, product trends, and business insights.
🛒🛒E-commerce platforms use🛒 product recommendations🛒 to enhance customer experience and increase sales. This project leverages CatBoost, a powerful gradient boosting algorithm, to build a product recommendation system that predicts which customers are likely to be interested in product recommendations based on their purchase behavior.🛒🛒
This project contains a comprehensive dataset and analysis report for Urban Store’s annual sales performance. It explores customer demographics, order trends, and sales insights through multiple analytical sheets.
In today's tough business world, companies need useful insights to grow and make money. But without data analysis, making decisions can be hard. This project aims to look at sales and profit data to find trends and chances for improvement. Using these insights, businesses can improve strategies and lead the market.
End-to-end Customer Analytics project using PostgreSQL, Excel and Power BI to analyze customer purchasing behavior, revenue trends and customer segmentation.
An open platform for exploring retail data, discovering trends, and supporting data-driven business decisions.
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