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
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.
Concept SaaS contract and revenue recognition platform, including API.
To get optimal price of Airbnb listing and maximize the revenue.
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.
Random forest regression + ARIMA timeseries modeling to impute metric values and forecast revenue for reporting purposes.
Build a model predicting which customers are likely to cancel subscription by analysis of their usage and habbits
Maximize revenues of Online Retail Business with Thompson Sampling algorithm
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
C++ Simulation Airline Revenue Accounting (RAC) Library
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