OroCRM - an open-source Customer Relationship Management application.
A Customer Relationship Management system (CRM) based on the Django Admin. This CRM app is designed for individual use by any company. No shared access for multiple companies. Your business data remains under your exclusive control. ⭐️ Star to support our work!
Data Science & Machine Learning Internship at Flip Robo Technologies
Retainful Website
Comprehensive Power BI dashboards showcasing insights on Call Centre Trends, Customer Retention, and Diversity & Inclusion to drive business impact.
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
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 content.
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 and customer retention through RFM analysis and multinomial logit.
Loyalty Bridge is a web-based loyalty management system that enables businesses to track and incentivize customer loyalty. With Loyalty Bridge, customers earn loyalty coins for each purchase, which can then be redeemed for discounts on future purchases.
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 stay with the bank or leave it in future.
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 Regression to Neural Networks, explore how different models perform in predicting CLV.
Using cohort analysis to measure customer retention.
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 insights have been derived to support Atliq Grands in enhancing customer retention and boosting revenue.
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 insights have been derived to support Atliq Grands in enhancing customer retention and boosting revenue.
Классификация клиентов банка для прогнозирования вероятности открытия депозита.
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-Gamma model to estimate transaction value, this repository aids in crafting targeted marketing strategies.
PwC Switzerland Power BI in Data Analytics Virtual Case Experience helps build foundation in data analysis and visualization with Power Bi
Customer churn demographics and insights.
Add a description, image, and links to the customer-retention topic page so that developers can more easily learn about it.
To associate your repository with the customer-retention topic, visit your repo's landing page and select "manage topics."