samarthmistry / Retail-Forecasting-Optimal-PricingView external linksLinks
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:
- Optimize revenues through pricing algorithm in python - Demand with uniform distribution☆33Oct 1, 2020Updated 5 years ago
- This project focuses on Supply Chain Analytics and Demand Forecasting using advanced analytics and models to optimize operations and pred…☆14Jun 29, 2024Updated last year
- Machine learning and statistical test to evaluate whether a pricing test running on the site has been successful☆11Jul 17, 2017Updated 8 years ago
- Using advanced MIP decomposition techniques like Column Generation, Benders' Decomposition, Lagrangian Relaxation to solve CVRP and UFL w…☆55Oct 6, 2019Updated 6 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
- Tutorial on Benders decomposition and acceleration techniques☆16May 23, 2023Updated 2 years ago
- Historical Sales Using Price Elasticity to determine customer responsiveness to future price changes☆24Jul 23, 2022Updated 3 years ago
- Inventory Management for Retail — Stochastic Demand☆18Jan 3, 2026Updated last month
- Official implementation of "Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management"☆20Sep 1, 2021Updated 4 years ago
- Inventory Management for Retail — Deterministic Demand☆18Dec 30, 2025Updated last month
- Supply chain management☆20Nov 6, 2021Updated 4 years ago
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆51Feb 26, 2021Updated 4 years ago
- ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python☆22Mar 17, 2023Updated 2 years ago
- My solutions for discrete optimization course on Coursera☆49Jan 7, 2020Updated 6 years ago
- Internship project☆56Mar 14, 2021Updated 4 years ago
- ☆28Jan 2, 2023Updated 3 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
- Capacitated Vehicle Routing Problem with Time Windows (NP-Hard). Winner at ICHack 18.☆29Feb 3, 2018Updated 8 years ago
- FiscalSim US is a microsimulation model of the US federal and state tax and benefit system relating to households and individuals.☆11Dec 20, 2024Updated last year
- 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
- (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 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
- Minimal working example of deployment of a jupyter notebook using voila, jupyter/docker-stacks and nginx☆12Jul 3, 2020Updated 5 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
- This is a sample for installing Kubernetes on Bare metals Production servers ( Ubuntu distro )☆10Jan 9, 2021Updated 5 years ago
- Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.☆33Jan 27, 2021Updated 5 years ago
- Deep Learning applied to predictive maintenance use cases☆40Apr 19, 2020Updated 5 years ago
- Miscellaneous code and projects☆10Jan 31, 2025Updated last year
- ☆11Oct 11, 2020Updated 5 years ago
- Code implementation of “Flexible Coordination of Wind Generators and Energy Storages in joint Energy and Frequency Regulation Market“☆11Sep 26, 2023Updated 2 years ago
- Capacitated VRP using Gurobi☆13Jul 30, 2017Updated 8 years ago
- Online Simultaneous Localization and Mapping in ROS☆11Jan 31, 2019Updated 7 years ago
- top3-solution☆10Feb 28, 2020Updated 5 years ago
- Python Source code and datasets used in my doctoral dissertation - Detection of faults in HVAC systems using tree-based ensemble models a…☆13Oct 6, 2018Updated 7 years ago
- ☆10Apr 5, 2022Updated 3 years ago
- Material de apoyo de la Materia Análisis Predictivo de la Licenciatura en Analítica (Data Science) ITBA☆14Dec 30, 2025Updated last month
- SimPET is a framework intended to setup and launch PET imaging Monte Carlo simulations on a simple way. It uses popular tools such as Sim…☆12Sep 26, 2024Updated last year