thejat / scalable-data-driven-assortment-planningLinks
Code accompanying paper titled "Optimizing Revenue over Data-driven Assortments" (2021)
☆25Updated 4 years ago
Alternatives and similar repositories for scalable-data-driven-assortment-planning
Users that are interested in scalable-data-driven-assortment-planning are comparing it to the libraries listed below
Sorting:
- Bandit algorithms for dynamic pricing of many products☆42Updated 5 years ago
- Python inventory optimization and simulation tools.☆142Updated 4 months ago
- multi-echelon inventory optimization with SimPy, SciPy, sklearn, and RBFOpt☆87Updated 6 years ago
- 😎 awesome dynamic pricing 💵☆112Updated 2 years ago
- ☆11Updated 4 years ago
- GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]☆31Updated 3 years ago
- Scripts inspired by book Inventory Optimization by Nicolas Vandeput.☆43Updated 4 years ago
- Python implementation to solve Vehicle Routing problem & Master Production Scheduling in Supply Chain Analytics & Design.☆70Updated 4 years ago
- A Python library dedicated to Inventory Analytics☆23Updated 7 months ago
- A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES☆38Updated last year
- Source code from my Master's thesis @Polytechnique Montréal. A solution to the assortment optimization problem, able to deal with large n…☆19Updated 8 years ago
- Example usage of scikit-hts☆57Updated 3 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- Collection of some revenue management tools for python 3☆47Updated 2 years ago
- Replication Code for Paper "Stochastic Optimization Forests".☆21Updated 3 years ago
- Unstructured Code with interesting analysis☆37Updated 11 months ago
- 2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in…☆37Updated 4 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆70Updated 5 months ago
- inventory simulation modules for single-echelon supply chain☆13Updated 6 years ago
- ☆17Updated 6 years ago
- An analysis, with a focus on demand forecasting, of transactional data associated with over 2.5 million customers and 31,868 SKUs over th…☆15Updated 5 years ago
- Time-Series forecasting using Stats models, LightGBM & LSTM☆39Updated 5 years ago
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆36Updated 6 years ago
- ☆26Updated 5 years ago
- This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…☆47Updated 3 years ago
- ☆116Updated 6 years ago
- ☆36Updated 6 years ago
- Tutorial on building a discrete-event simulation model using Python and Simpy and conducting a statistical analysis of the simulation out…☆18Updated 3 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- A python package for hierarchical forecasting, inspired by hts package in R.☆28Updated 7 months ago