End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail chain (Machine Learning in sklearn, MIP optimization in Gurobi)
☆40Sep 16, 2019Updated 6 years ago
Alternatives and similar repositories for Retail-Forecasting-Optimal-Pricing
Users that are interested in Retail-Forecasting-Optimal-Pricing are comparing it to the libraries listed below
Sorting:
- n this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the fi…☆22Jul 15, 2020Updated 5 years ago
- Big Data Inventory Management on AWS (Demand Forecasting, Machine Learning, Dashboarding) : Presented at Carlson School of Management dur…☆11Apr 15, 2020Updated 5 years ago
- Retail industry solutions for product price optimization using the Cortana Intelligence Suite with end-to-end walkthrough☆91Sep 5, 2017Updated 8 years ago
- Machine learning and statistical test to evaluate whether a pricing test running on the site has been successful☆11Jul 17, 2017Updated 8 years ago
- This project focuses on Supply Chain Analytics and Demand Forecasting using advanced analytics and models to optimize operations and pred…☆16Jun 29, 2024Updated last year
- Using advanced MIP decomposition techniques like Column Generation, Benders' Decomposition, Lagrangian Relaxation to solve CVRP and UFL w…☆55Oct 6, 2019Updated 6 years ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆32Jun 26, 2020Updated 5 years ago
- Code and computational experiments of the paper "Benders Adaptive-Cuts Method for Two-Stage Stochastic Programs" by Cristian Ramírez-Pico…☆17Jun 1, 2023Updated 2 years ago
- Price Elasticities and Purchase Incidence Model☆14Apr 17, 2020Updated 5 years ago
- A model to tell whether a tweet is about a natural disaster or not☆15Mar 25, 2023Updated 2 years ago
- Tutorial on Benders decomposition and acceleration techniques☆16May 23, 2023Updated 2 years ago
- Inventory Management for Retail — Stochastic Demand☆19Jan 3, 2026Updated 2 months ago
- Historical Sales Using Price Elasticity to determine customer responsiveness to future price changes☆24Jul 23, 2022Updated 3 years ago
- Official implementation of "Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management"☆20Sep 1, 2021Updated 4 years ago
- Supply chain management☆19Nov 6, 2021Updated 4 years ago
- This is a Inventory Management System created using R and Shiny package that forecasts next month sales demand and also calculates safety…☆21May 8, 2016Updated 9 years ago
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆51Feb 26, 2021Updated 5 years ago
- Data Science Project: House Prices☆24Feb 25, 2021Updated 5 years ago
- ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python☆22Mar 17, 2023Updated 2 years ago
- ☆24Jun 15, 2020Updated 5 years ago
- Internship project☆55Mar 14, 2021Updated 4 years ago
- Predicting the Remaining Useful Life (RUL) of simulated Turbofan Engines using Spark ML, Spark Structured Streaming, and Kafka.☆24Oct 15, 2024Updated last year
- Benders decomposition to solve mixed integer linear programming, especially stochastic programming in seconds!☆26Jul 28, 2019Updated 6 years ago
- [BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis,…☆235Nov 14, 2018Updated 7 years ago
- Capacitated Vehicle Routing Problem with Time Windows (NP-Hard). Winner at ICHack 18.☆29Feb 3, 2018Updated 8 years ago
- ☆10Aug 19, 2024Updated last year
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆26Jun 14, 2019Updated 6 years ago
- This repository contains the code for paper Li, Ran, et al. "Decision-oriented learning for future power system decision-making under unc…☆21Apr 13, 2025Updated 10 months ago
- In this work, we compared the predictive capabilities of six different machine learning algorithms - linear regression, random forest, ex…☆15Sep 21, 2020Updated 5 years ago
- Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Bin…☆10Apr 26, 2018Updated 7 years ago
- This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning…☆31May 23, 2024Updated last year
- Demand forecasting of items using three step machine learning model. Clustering - Classification - Prediction☆29Oct 18, 2020Updated 5 years ago
- The objective of the project is to obtain the prediction of delivery date and freight cost based on the historic trend and attributes.The…☆10Aug 1, 2019Updated 6 years ago
- This is the code project for optimal bidding staregy of virtual poewr plant considering uncertainty with IGDT and DRO☆12Mar 18, 2024Updated last year
- Minimal working example of deployment of a jupyter notebook using voila, jupyter/docker-stacks and nginx☆12Jul 3, 2020Updated 5 years ago
- Tools for text processing of structured product labels☆12Mar 27, 2020Updated 5 years ago
- This is a sample for installing Kubernetes on Bare metals Production servers ( Ubuntu distro )☆10Jan 9, 2021Updated 5 years ago
- ☆10Sep 20, 2020Updated 5 years ago
- A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart…☆1,428Jan 24, 2024Updated 2 years ago