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
Build a model predicting which customers are likely to cancel subscription by analysis of their usage and habbits
Software package for intertemporal pricing optimization under reference effects and consumer heterogeneity estimation. Please see REAMDE.md for more details.
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.
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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.
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