An Integer Programming Approach for Quick-Commerce Assortment Planning
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Updated
Feb 11, 2024
An Integer Programming Approach for Quick-Commerce Assortment Planning
Financial data app for different states in North America 📈
REVENUE ANALYSIS
To get optimal price of Airbnb listing and maximize the revenue.
Concept SaaS contract and revenue recognition platform, including API.
Random forest regression + ARIMA timeseries modeling to impute metric values and forecast revenue for reporting purposes.
Analyzed hotel booking cancellations, implemented dynamic pricing for a 15% reduction, initiated targeted marketing for 12% rise in peak month bookings, and optimized booking sources. Enhanced revenue and strategy through data-driven insights.
Build a model predicting which customers are likely to cancel subscription by analysis of their usage and habbits
The project focuses on optimizing airline revenue through strategic overbooking and dynamic pricing for coach and first-class tickets, aiming to increase profits while managing overbooking risks and customer relations.
Maximize revenues of Online Retail Business with Thompson Sampling algorithm
This project is a revenue management application developed using Node.js and EJS. It is designed for both beginners and advanced users. This guide provides basic information about the project and explains the steps to run the project in a local environment. Bu proje, Node.js ve EJS kullanılarak geliştirilmiş bir kazanç yönetimi uygulamasıdır.
Collection of some revenue management tools for Python 3
C++ Simulation Low Fare Search (LFS) Library
C++ Simulation Discrete Event Management Library
C++ Simulation Computer Reservation System (CRS) Library
C++ Simulation Fare Quote Library
C++ Simulation Airline Travel Solution Provider Library
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