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.

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

This repository includes a price optimization study about finding the best sales price for maximizing company revenues.

Syracuse University, Masters of Applied Data Science -SCM 651 Business Analytics

2023.02 . 수요예측과 가격 최적화 포트폴리오

This project represents a comprehensive data analysis and business intelligence system designed to analyze DDT (Documenti di Trasporto) - Italian mandatory transport documents - and create intelligent price lists (Listino) for sales management.

🚛 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

Presentation materials from Worthington Industries' presentation at Tableau Conference 2018