😎 awesome dynamic pricing 💵

Dynamic pricing of e-shop products through machine learning algorithms

Creating a Bitcoin Lightning Network Enabled Energy Grid

📊 Inteligentne zarządzanie cenami energii w Polsce dla Home Assistant. Teryfy Dynamiczne, G12, G12w, symulacja kosztów (porównywarka teryf) na żywo i automatyzacja pod najtańsze godziny.

This is the repository of our accepted CIKM 2022 paper "Prediction-based One-shot Dynamic Parking Pricing".

Optimize energy consumption and battery storage by identifying cheapest charging windows based on dynamic electricity prices

Creating a decision support system for a newly launched product.

Dynamic Pricing

STAD-GCN: Spatial-Temporal Attention-based Dynamic Graph Convolutional Network for Retail Market Price Prediction, pytorch version (ESWA 2024)

WooCommerce Dynamic Pricing, Git-ified. This repository is just a mirror of the WooCommerce Dynamic Pricing plugin. Please do not send pull requests

This project focuses on Dynamic Pricing by leveraging machine learning to predict the cost of rides based on factors like demand, customer loyalty, ride duration, and vehicle type. Using the Dynamic Pricing Dataset from Kaggle, the project includes exploratory data analysis (EDA), feature engineering, model training, and deployment.

This repository provides an implementation of algorithmic support for dynamic pricing based on surrogate ticket demand modeling for a passenger rail company on open data.

Dynamic pricing engine using demand forecasting and price optimization to maximize ticket revenue.

Automated competitive intelligence system and dynamic pricing engine utilizing Selenium RPA and Python. Features real-time market surveillance across major Turkish marketplaces (Trendyol, Hepsiburada).

2022KurlyHackFesta 결선 진출 결과물 - Tag Score를 적용한 Dynamic Pricing 서비스 구현

A scalable event ticketing platform with dynamic pricing engine, built using Next.js, Express, and PostgreSQL in a Turborepo monorepo architecture.

This project applies Q-Learing for dynamic pricing decision-making optimization

Dynamic Pricing is an application of data science that involves adjusting the prices of a product or service based on various factors in real time. It is used by companies to optimize revenue by setting flexible prices that respond to market demand, demographics, customer behaviour and competitor prices.

Dynamic Pricing Simulation is a Python project that models and analyzes retail pricing strategies using real-world datasets. It allows simulation of dynamic pricing, revenue analysis, and visualization, helping businesses explore optimal pricing decisions.

هدف تحلیل دیتاهای مربوط به قیمت های پرواز تهران مشهد و بالعکس با روش های مبتنی بر یادگیری ماشین می باشد

Agentes y Big Data aplicado a la optimización de recursos de movilidad urbana en la ciudad de Santander, España

Dynamic shop Minecraft 1.16.x plugin with advanced capabilities, based on the real economy.

Dynamically adjust cost of the rides in response to changing factors

🚖 A hybrid Machine Learning + Reinforcement Learning project that predicts dynamic ride pricing. Combines historical ride data (ML) with a Q-learning agent (RL) to recommend fair, adaptive prices based on demand, supply, and customer loyalty.

A Relational Database System for Hotels featuring Dynamic Pricing Engines, Overlap-Safe Availability Logic, and Python Analytics.

Dynamic pricing algorithm for Uber rides. Focus on dataclass usage and pipeline execution efficiency.

Research simulation comparing Thompson Sampling vs. Epsilon-Greedy algorithms in non-stationary hyper-inflationary markets. Reveals "Bayesian Inertia" phenomenon.

Comprehensive workflow for analyzing price trends in e-commerce platforms using SQL, Python, and Tableau. Includes data engineering, warehousing, dynamic pricing, and BI visualization.

FoxESS home battery steering based on Next Energy or Frank Energie real-time prices

Dynamic Ride Pricing App This is a Streamlit web application designed to implement a dynamic pricing model for ride-sharing platforms.