Open Source Pricing & Packaging Infrastructure
Shiny app for Price Optimization using prophet and lme4 libraries for R.
Historical Sales Using Price Elasticity to determine customer responsiveness to future price changes
A REST API for computing local energy market (LEM) prices for a Renewable Energy Community (REC) that can promote the minimization of the members’ operation cost with energy.
A REST API for sizing and planning the operation of a Renewable Energy Community (REC) or Citizen Energy Community (CEC) that can promote the minimization of the members’ operation cost with energy.
This repository includes a price optimization study about finding the best sales price for maximizing company revenues.
Unlock profit potential with dynamic pricing! This machine learning project optimizes retail prices using regression trees, delving into price elasticity. Explore tools like Python, Pandas, and Matplotlib for robust analysis and decision-making in this data-driven pricing journey.
Projects on the way to completing the Data Analytics Diploma with honors at SAIT
Syracuse University, Masters of Applied Data Science -SCM 651 Business Analytics
AI-powered auction bidding system using machine learning to optimize car purchase decisions. Combines VBA web scraping with Python decision trees to calculate optimal bid prices based on repair costs and market values.
Price elasticity estimation per customer segment via log-log OLS regression. Revenue-maximising discount found using SciPy Brent's optimisation. Python · SciPy · Pandas
The main character energy for demand forecasting 🎬The algorithm ATE and left no crumbs 🍽️ Watch 295K sales records get sorted into the sickest price archetypes you've ever seen 👀
ML-based dynamic pricing system for retail optimization using Python, achieving 129% projected revenue increase
Causal ML pipeline for e-commerce dynamic pricing — Double Machine Learning for unbiased price elasticity, LightGBM demand forecasting (MAPE=0.418, R²=0.055), and a FastAPI pricing service delivering +30% revenue lift across 49,677 SKUs from 32M+ transactions.
ML-powered price & discount optimization engine built on 540k real e-commerce transactions
Pipeline de ML para otimização de preço de listings Airbnb no Rio de Janeiro. Demand curve estimation, FastAPI + Cloud Run, Airflow, MLflow, Evidently.
PriceOps APIs.json profile
🚛 This project focuses on building a machine learning system to predict shipment costs for logistics companies. By analyzing various factors such as package weight, dimensions, origin-destination pairs, and delivery speed, the model enables dynamic pricing to 💰Prevent financial losses ,⏱ Ensure timely deliveries ,🎯 Offer competitive rate
AI-Powered Competitive Pricing Intelligence for E-Commerce Sellers
Presentation materials from Worthington Industries' presentation at Tableau Conference 2018
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