Exploring Market Basket Analysis and Using Data Driven Insights to Make store layouts

Analyse the customer purchase behaviour to optimize inventory cost

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.

Solution to Quantium Virtual Internships on Forage

Leveraging K-Means clustering, our project categorizes retail customers based on purchasing behaviors and demographics. This provides businesses with actionable insights to tailor marketing efforts, enhancing customer experience and boosting sales.

Tasks performed under Data Science and Business Analytics internship by Sparks Foundation.

Dynamic Excel dashboard for comprehensive retail analysis of Walmart Superstore, Featuring Sparkline-enabled KPIs, multi-dimensional segmentation, and geographic visualization, Empowering strategic decision-making and operational optimization.

Implementation of Exploratory Data Analysis on Supermarket Sales Data with MySQL Workbench

Retail Analytics in Shopping Malls

Open source commerce analytics and resources to bring powerful insights to life.

Data base structure for retail analyzes project

A comprehensive project on data analysis, model building, and visualization to understand customer purchase trends.

The project provides the Apriori algorithm and Market Basket Analysis (MBA) to analyze transactional data, generating personalized recommendations based on Support, Confidence, and Lift metrics to enhance customer experience and boost sales.

Leveraging K-Means clustering, our project categorizes retail customers based on purchasing behaviors and demographics. This provides businesses with actionable insights to tailor marketing efforts, enhancing customer experience and boosting sales.

Leveraging advanced data analysis techniques, this project is strategically designed to contribute to business success by delivering insightful visualizations, accurate sales forecasting, and actionable information.

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.

Analyse the customer purchase behaviour to optimize inventory cost