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…
☆12Jul 13, 2020Updated 6 years ago
Alternatives and similar repositories for Demand-Forecasting
Users that are interested in Demand-Forecasting are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Tutorial on building a discrete-event simulation model using Python and Simpy and conducting a statistical analysis of the simulation out…☆20Jul 10, 2022Updated 4 years ago
- inventory simulation modules for single-echelon supply chain☆13Dec 25, 2018Updated 7 years ago
- Discrete-event simulation of inventories in Python via SimPy☆16Nov 13, 2020Updated 5 years ago
- This project focuses on time series forecasting to predict store sales for Corporation Favorita, a large Ecuadorian-based grocery retaile…☆19Dec 4, 2023Updated 2 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…☆17Oct 4, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Utilize linear regression to predict Customer Lifetime Value and develop positive ROI strategies☆14Apr 29, 2021Updated 5 years ago
- An ANN-LSTM based Model for Learning Individual Customer Behavior in Response to Electricity Prices☆11Mar 27, 2020Updated 6 years ago
- This repository contains my academic marketing and customer data analytics related projects using R and SQL.☆12Dec 20, 2019Updated 6 years ago
- A multi-brand, ecommerce full stack project built using Django, Python and JavaScript, deployed to Heroku, uses Amazon S3 for cloud stora…☆11Feb 9, 2023Updated 3 years ago
- 论文Reinforcement Learning of Sequential Price Mechanisms的复现☆12Nov 3, 2022Updated 3 years ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆13May 8, 2019Updated 7 years ago
- Notebooks for time-series forecasting (SARIMA)☆10Apr 22, 2019Updated 7 years ago
- Analysis of User Profile of Century Jiayuan☆11Dec 30, 2023Updated 2 years ago
- Object-oriented software for the multi-physics simulations of Superconducting cables.☆18Nov 10, 2025Updated 8 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for "Convergence of Learning Dynamics in Stackelberg Games"☆13Nov 6, 2019Updated 6 years ago
- Scripts inspired by book Inventory Optimization by Nicolas Vandeput.☆44Feb 15, 2021Updated 5 years ago
- Python基于OpenCV的双目视觉深度图算法（源码＆教程）☆25Nov 17, 2023Updated 2 years ago
- Data Mining and User Portrait reports, with a score of 95/100, ranking first, including experiments of 3 kaggle data sets and a small pap…☆10Feb 5, 2020Updated 6 years ago
- Reinforcement Learning for Optimal inventory policy☆34Oct 23, 2021Updated 4 years ago
- Profit-driven demand forecasting with gradient boosted trees☆11Mar 28, 2023Updated 3 years ago
- Exponential Smoothing, SARIMA, Facebook Prophet☆12Jan 3, 2021Updated 5 years ago
- Multivariate time series Vector Autoregression Model (VAR) on real world GDP and DPI (and some other indexes). Bayesian Structured Time S…☆14Aug 16, 2022Updated 3 years ago
- ☆13Feb 13, 2020Updated 6 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Data envelopment analysis for python☆19Dec 11, 2025Updated 7 months ago
- This repo will contain PPT slideds used by the professor in the NPTEL course Introduction to machine learning☆18Oct 16, 2023Updated 2 years ago
- Two Jupyter Notebooks written in Python, treating of time series analysis with ARIMA and its seasonal counterpart.☆13Sep 8, 2019Updated 6 years ago
- Using LSTM and CNN to detect faults in power grids☆15Jan 18, 2019Updated 7 years ago
- 🎓📚📈 Collection of scientific publications that explore, model and predict customer churn and lifetime value (CLV)☆23Feb 11, 2024Updated 2 years ago
- Segmenting consumer based buying behavior and applying 80/20 rule to identify top customers/products/geographic locations driving 80% of …☆13Sep 2, 2019Updated 6 years ago
- A sample solution for SAP NetWeaver ABAP Monitoring leveraging Amazon CloudWatch and AWS Lambda☆12Jan 23, 2025Updated last year
- Develop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess …☆17Jul 14, 2023Updated 3 years ago
- Power system components usually have standard static ratings that determine the load constraints. The term ‘‘rating’’ in the power line …☆13Jul 25, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- The primary objective of this project is to develop a cutting-edge forecasting model utilizing advanced machine-learning algorithms and s…☆16Jun 26, 2024Updated 2 years ago
- Dataset for ARIMA forecasting☆16Jan 12, 2021Updated 5 years ago
- Learning based Multi-scale Feature Engineering in Partial Discharge Detection☆20Nov 14, 2022Updated 3 years ago
- Using machine learning to solve one of the most common problem of Supply Chain domain, i.e Demand Forecasting.☆36Sep 8, 2021Updated 4 years ago
- Voronoi-Based Foveated Volume Rendering☆10Sep 30, 2021Updated 4 years ago
- Python implementation of the MACE Bayesian optimization algorithm, with GPy used as the backend GP library☆21Jun 25, 2018Updated 8 years ago
- ☆13Oct 14, 2019Updated 6 years ago