OroCRM - an open-source Customer Relationship Management application.
翻译 - OroCRM-开源的客户关系管理应用程序。
An implementation of the shifted-beta-geometric (sBG) model from Fader and Hardie's "How to Project Customer Retention" (2006)
#自然语言处理# Data Science & Machine Learning Internship at Flip Robo Technologies
Comprehensive Power BI dashboards showcasing insights on Call Centre Trends, Customer Retention, and Diversity & Inclusion to drive business impact.
Retainful Website
Abandoned Cart Recovery Email and Next Order Coupon Plugin for WooCommerce. Easily recover abandoned carts with a single click and drive repeat purchases with Retainful
Loyalty Bridge is a web-based loyalty management system that enables businesses to track and incentivize customer loyalty.
This demo repository demonstrates how to analyze customer reviews with Azure OpenAI Service (AOAI). I leveraged "ASOS Customer Review" from Kaggle to obtain valuable insight from the customer review c...
#计算机科学#The Bank Churn Classification project predicts customer churn in the banking sector using machine learning algorithms and EDA. It features a user-friendly interface built with HTML and CSS, with model...
Assessed brand loyalty patterns and price elasticity metrics to provide insights for brand’s market growth. Recommended strategies for the top 3 brands based on competitor analysis, customer profiling...
#计算机科学#This project predicts Customer Lifetime Value (CLV) for e-commerce. It aims at forecasting the revenue a business can expect from a customer over time. I did an explatory analysis. From Linear Regres...
Creation of a MultiLayer Perceptron using Back Propagation Algorithm. It was trained to efficiently classify the data into two sets:exit and stay. This was able to predict whether a customer might sta...
Contains Multipage Streamlit applications showing all steps of machine learning pipeline with additional recommendations at the end.
#计算机科学#Estudo de caso sobre previsão de churn em um serviço de streaming, utilizando machine learning e análise não supervisionada para identificar padrões e reduzir a evasão de clientes.
#计算机科学#A machine learning model to forecast customer retention, as well as performing exploratory data analysis to examine which metrics may be most relevant to increase retention.
This project showcases the application of data analysis techniques to solve real-world business problems in the hotel industry. By mastering essential Python libraries and methodologies, valuable insi...
Demonstrates how Python's lifetimes package can identify high-value customers and predict their future purchasing behavior. Utilizing the BG/NBD model to forecast purchase frequency and the Gamma-Gamm...
This project showcases the application of data analysis techniques to solve real-world business problems in the hotel industry. By mastering essential Python libraries and methodologies, valuable insi...
PwC Switzerland Power BI in Data Analytics Virtual Case Experience helps build foundation in data analysis and visualization with Power Bi