vasukumar92 / Machine-Learning-based-Supply-Chain-Demand-Forecast-for-a-Global-Pharmacy-CompanyLinks
The dataset is of a Global Pharmacy Company. The dataset comprises of Historical sales, Product Information and products which need forecasting. The demand forecasting is required at a quarterly level. Carry-Over products are those products which have historical data present and New products do not have any historical data present.
☆25Updated 6 years ago
Alternatives and similar repositories for Machine-Learning-based-Supply-Chain-Demand-Forecast-for-a-Global-Pharmacy-Company
Users that are interested in Machine-Learning-based-Supply-Chain-Demand-Forecast-for-a-Global-Pharmacy-Company are comparing it to the libraries listed below
Sorting:
- Supply chain optimization and analytics in python. Examples and practice problems discussed in MIT Micromasters in Supply chain managemen…☆20Updated 6 years ago
- Demand Forecasting is the process in which historical sales data is used to develop an estimate of an expected forecast of customer deman…☆11Updated 5 years ago
- Predicting Backorders in Inventory Mangement Context.☆23Updated 8 months ago
- Profit-driven demand forecasting with gradient boosted trees☆10Updated 2 years ago
- AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-AlgorithmsInternship project☆56Updated 4 years ago
- Big Data Inventory Management on AWS (Demand Forecasting, Machine Learning, Dashboarding) : Presented at Carlson School of Management dur…☆10Updated 5 years ago
- Scripts inspired by book Inventory Optimization by Nicolas Vandeput.☆44Updated 4 years ago
- These are projects for healthcare analytics. The projects are based on open data on health care.☆15Updated 4 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
- Demand forecasting of items using three step machine learning model. Clustering - Classification - Prediction☆29Updated 5 years ago
- ☆11Updated 6 years ago
- SohitKalluru / Forecasting-of-order-demand-in-warehouses-using-autoregressive-integrated-moving-average.Forecasting of order demand in warehouses using auto-regressive integrated moving average(ARIMA).☆23Updated 5 years ago
- This machine learning model (LSTM Time Series model) helps us to forecast demand of a supply chain business problem. This model uses Kera…☆30Updated 7 years ago
- This project focuses on time series forecasting to predict store sales for Corporation Favorita, a large Ecuadorian-based grocery retaile…☆17Updated last year
- Supply Chain Optimization with Python☆100Updated 8 months ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆112Updated 7 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- Sales forecasting for the supply chain industry.☆11Updated 4 years ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆31Updated 5 years ago
- Inventory Management for Retail — Deterministic Demand☆17Updated 8 months ago
- Data Analysis and Machine Learning with Python to Solve Business Problems. Implemented with different case studies☆11Updated 6 years ago
- Implement inventory management rules based on a periodic review policy☆14Updated 8 months ago
- Machine Learning for Retail Sales Forecasting — Features Engineering☆67Updated last year
- Sentiment Analysis of COVID-19 Vaccine-related Twitter Data☆10Updated 4 years ago
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆48Updated 4 years ago
- Senior Supply Chain Engineer using Data Science for Operational Excellence☆22Updated 3 weeks 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
- Using machine learning to solve one of the most common problem of Supply Chain domain, i.e Demand Forecasting.☆32Updated 4 years ago
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆39Updated 6 years ago
- Algorithms Library for Supply Chain Inventory Optimization☆17Updated 6 years ago