Build a RFM (Recency Frequency Monetary) model for Retail Customers
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Updated
May 16, 2021 - Jupyter Notebook
Build a RFM (Recency Frequency Monetary) model for Retail Customers
Customer Profile & Shopping Behavior Analysis is an R-based project analyzing customer data from retail stores, focusing on segmentation, seasonal trends, and market behaviors.
Code release for Geometry Supervised Pose Network for Accurate Retail Shelf Pose Estimation (GSPN) (IEEE TII).
Scripts for manipulating the annotation files of the SKU110K dataset
A complete dashboard of Walmart Retail Data Analysis using Tableau.
Simple C# class library with functions related to the National Retail Federation's 4-5-4 Merchandise Calendar. Calendar starts in Febuary and ends in December. Additional information can be found here https://nrf.com/resources/4-5-4-calendar
A complete dashboard of Walmart Retail Data Analysis using Tableau.
Optimize retail insights with AccioJob's Excel Dashboard. Analyze sales data effortlessly for sharper decision-making and enhanced business strategy. This comprehensive Excel solution includes dynamic visualizations and slicers for an intuitive experience. Dive into the power of data-driven insights with AccioJob's Retail Insights in MS Excel.
Descriptive Data Mining for UK Retail Dataset
Data Warehousing project | Outsourced for Autumn Group | Retail Outlet DW | Melbourne based | Sep - Feb 2018
SAS Data Analysis on Retail Clothing Data Set
📦💊 Multi-Step Ahead Forecasting Applied to Rossmann Store Sales Case
Parser + analyzer for cars just by one link
A data cleaning exercise on Excel where I clean data and calculate lifetime values of different customer cohorts. Lifetime value means the average value of purchase by a customer in a specific time-based cohort.
In the retail industry a trade area, also known as a catchment area, is the geographic area from where you draw your customers. Here I derive trade area from scratch
R-Analysis: Identifying high value customers and low value of customers using RFM modelling
This project was to review a client (TATA Online Retail business) data and provide insights that would be valuable to the CEO and CMO. Particularly to analyze what the major contributing factors are to the revenue so they can strategically plan for next year.
Text analytics project focusing on Brazil's e-commerce data to evaluate customer/supplier patterns.
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