Using Quantum Machine Learning for effective dynamic pricing models
A dynamic pricing rule engine for Laravel.
Dynamic pricing engine using XGBoost, price elasticity modeling, and A/B testing to optimize revenue, with a Streamlit dashboard.
Adaptive pricing using a Thompson Sampling multi-armed bandit learns the best price from real customer outcomes in real time, instead of waiting on a fixed A/B test.
A production-grade, serverless ML dynamic ride-pricing engine. Trained on 178K NYC taxi trips and deployed across a zero-cost monorepo (React, Node.js, FastAPI) on Vercel
Amazon, Flipkart Web Scraper, for Competitive Dynamic Pricing & AI Stratergies to grow your E-Commerce Website
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