RILUCK / Supply-Chain-Management-Machine-LearningLinks
Predicting Global Supply Chain Outcomes for Essential HIV Medicines using Machine Learning Techniques
☆43Updated 6 years ago
Alternatives and similar repositories for Supply-Chain-Management-Machine-Learning
Users that are interested in Supply-Chain-Management-Machine-Learning are comparing it to the libraries listed below
Sorting:
- Supply Chain Optimization with Python☆106Updated 3 weeks ago
- A low capacity and high capacity plant across 5 countries are considered and a linear programming model is built to determine the total l…☆20Updated 4 years ago
- Machine Learning for Retail Sales Forecasting — Features Engineering☆68Updated last month
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆51Updated 4 years ago
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆67Updated 6 years ago
- Demand forecasting of items using three step machine learning model. Clustering - Classification - Prediction☆29Updated 5 years ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆114Updated 7 years ago
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆40Updated 6 years ago
- Build Supply Chain Sustainability Reporting with Python☆57Updated last month
- The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.☆37Updated 4 years ago
- Production Fixed Horizon Planning with Python☆31Updated last month
- A machine learning model for predicting delayed deliveries in the supply chain of USAID, and forecasting the delay time of a potential de…☆10Updated 6 years ago
- A Python library to design & optimize Supply Chains☆24Updated 5 years ago
- Application of Deep Reinforcement Learning to Supply Chain management. Reference: https://blog.griddynamics.com/deep-reinforcement-learni…☆12Updated 4 years ago
- This is an Analysis to optimise inventory managemnt for FitCapacity company by analyzing sales and inventory data using SQL and PowerBI☆27Updated 2 years ago
- Inventory Management for Retail — Deterministic Demand☆18Updated last month
- In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…☆241Updated 3 years ago
- AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-AlgorithmsInternship project☆56Updated 4 years ago
- Customer-base segmentation over e-commerce sales data☆27Updated 5 years ago
- Sales forecasting for the supply chain industry.☆11Updated 4 years ago
- Senior Supply Chain Engineer using Data Science for Operational Excellence☆23Updated last month
- The aim of the project is leverage linear programming in supply chain optimization problem☆19Updated 5 years ago
- n this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the fi…☆21Updated 5 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
- Association rule mining is a technique to identify underlying relations between different items.☆71Updated 6 years ago
- In this Data set we are Predicting the Insurance Claim by each user, Machine Learning algorithms for Regression analysis are used and Dat…☆40Updated 6 years ago
- 📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian so…☆62Updated 5 years ago
- ☆18Updated 5 years ago
- 5 machine learning techniques to forecast product sales☆144Updated 2 years ago
- Improve Warehouse Productivity using Order Batching☆131Updated last month