missjaanii / Demand-Forecasting
Demand Forecasting is the process in which historical sales data is used to develop an estimate of an expected forecast of customer demand. To businesses, Demand Forecasting provides an estimate of the amount of goods and services that its customers will purchase in the foreseeable future. Critical business assumptions like turnover, profit marg…
☆10Updated 4 years ago
Alternatives and similar repositories for Demand-Forecasting:
Users that are interested in Demand-Forecasting are comparing it to the libraries listed below
- The dataset is of a Global Pharmacy Company. The dataset comprises of Historical sales, Product Information and products which need forec…☆25Updated 5 years ago
- Scripts inspired by book Inventory Optimization by Nicolas Vandeput.☆39Updated 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 2 years ago
- Profit-driven demand forecasting with gradient boosted trees☆10Updated 2 years ago
- Algorithms Library for Supply Chain Inventory Optimization☆16Updated 6 years ago
- Big Data Inventory Management on AWS (Demand Forecasting, Machine Learning, Dashboarding) : Presented at Carlson School of Management dur…☆10Updated 4 years ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆30Updated 4 years ago
- Supply chain optimization and analytics in python. Examples and practice problems discussed in MIT Micromasters in Supply chain managemen…☆18Updated 5 years ago
- AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-AlgorithmsInternship project☆52Updated 4 years ago
- Implement inventory management rules based on a periodic review policy☆11Updated last month
- inventory simulation modules for single-echelon supply chain☆13Updated 6 years ago
- A project for solving demand forecast of a medium retailer using a simple Deep Learning model☆16Updated last year
- Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…☆14Updated 9 months ago
- Integration of DNN framework with Stochastic Multi-echelon Inventory Optimization (SMEIO)☆7Updated 4 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- Predicting Backorders in Inventory Mangement Context.☆23Updated last month
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆46Updated 4 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…☆27Updated 7 years ago
- A Python library dedicated to Inventory Analytics☆21Updated last month
- Fast Inventory simulation and optimization☆9Updated last month
- 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 4 years ago
- ☆25Updated 4 years ago
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆35Updated 5 years ago
- ☆9Updated 3 years ago
- Inventory Management for Retail — Stochastic Demand☆16Updated last month
- Senior Supply Chain Engineer using Data Science for Operational Excellence☆19Updated this week
- Demand forcasting using time series analysis and safety stock optimization to provide desired service level☆16Updated 5 years ago
- Demand forecasting of items using three step machine learning model. Clustering - Classification - Prediction☆27Updated 4 years ago
- Graph theory to optimize the road transportation network of a retail company☆19Updated last month
- Robust Supply Chain Network with Monte Carlo Simulation☆29Updated last month