Flight Route-Level Profitability & PLB Analytics Platform ## Overview This project simulates real-world airline and OTA revenue optimization by analyzing route-level supplier profitability using commission structures, PLB incentives, leakage modeling, and settlement-based cashflow risk. Unlike traditional fare analysis, this platform focuses on how **money actually moves** in travel and fintech ecosystems. ## Key Features - Route & airline-level profit calculation - PLB slab simulation via volume routing - Leakage reduction what-if analysis - Cashflow risk scoring based on settlement delays - Interactive Streamlit dashboard - One-command pipeline execution ## Tech Stack - Python - Pandas - Streamlit ## Project Structure - data/ → raw input data - src/ → analytics modules - output/ → generated reports ## Business Use Case - OTA supplier routing optimization - Airline incentive evaluation - Revenue leakage control - Fintech cashflow risk analysis ## Author Asif (AI & Data Science Undergraduate) # flight-profitability-analytics