Funkmyster/awesome-supply-chain

A curated list of awesome supply chain blogs, podcasts, standards, projects, and examples.

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drcaiomoreno/demand-forecasts-at-scale

Demand Forecasts at Scale

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akomarla/forecast_demand

SKU-level customer demand forecasts for SSDs for improved long-term supply planning

Language: Python - Size: 32.6 MB - Last synced: 4 days ago - Pushed: 5 days ago - Stars: 1 - Forks: 1

attila-balint-kul/energy-forecast-benchmark-toolkit

Energy Forecast Benchmark Toolkit is a Python project that aims to provide common tools to benchmark forecast models.

Language: Python - Size: 928 KB - Last synced: 10 days ago - Pushed: 10 days ago - Stars: 7 - Forks: 3

predicthq/streamlit-location-insights-demo

A simple application that demonstrates the power of PredictHQ's APIs.

Language: Python - Size: 538 KB - Last synced: 10 days ago - Pushed: 10 days ago - Stars: 0 - Forks: 0

shubham5027/Store-Item-Demand-Forcasting

The "Sales Demand Forecasting Regression Model" project aims to develop a predictive model that forecasts future sales demand based on historical data and relevant influencing factors. The project follows a structured approach, encompassing data collection, preprocessing, model selection, training, evaluation, and deployment.

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romilan24/ml-caiso-load-forecast

Machine Learning CAISO electric demand forecast using https://github.com/romilan24/load-weather-dataset

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gkukish/demand-forecasting

This Jupyter Notebook implements Bayesian modeling techniques to fit a posterior distribution and forecast demand for an e-commerce company.

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lixus7/Time-Series-Works-Conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

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mateuszkasprowicz/linear-trees

Evaluating tree-based approaches for timeseries

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jomariya23156/sales-forecast-mlops-at-scale

Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retraining loop, and more

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Blitz464/Bike-Rental-Demand-Forecast---BiLSTM

The goal of the project is to utilize Recurrent Neural network model (biLSTM) to forecast demand of bike rentals using seasonal and exogenous features

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bgunyel/electricity-demand-forecasting

Language: Python - Size: 906 KB - Last synced: about 2 months ago - Pushed: over 1 year ago - Stars: 6 - Forks: 2

smithhmark/supreme-goggles

An exploration of demand analysis and prediction

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green-jade/iMOD-analysis

imod 이력자료 데이터 분석/수요예측모형

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andressagomes26/adventure_works_demand_forecast

Neste projeto, é realizada a previsão de demanda dos produtos da indústria Adventure Works (AW). 🚵‍♀️

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Alro10/deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

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Simontagbor/supply-chain-demand-forecast

forcasting customer demand using prophet

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jpcadena/onemetric-plus

OneMetric+ project for analytical tool on demand forecast and outlier detection

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mbahmujono/Pertamina

ARIMA ML Model - Oil and Gas Supply Chain Demand Forecasting with LLM Analysis using AWS Bedrock Foundational Model

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deluminators/Matix

Manufacturing Optimization Engine

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cloudera/CML_AMP_Structural_Time_Series

Applying a structural time series approach to California hourly electricity demand data.

Language: Python - Size: 812 KB - Last synced: 29 days ago - Pushed: 4 months ago - Stars: 6 - Forks: 11

YoweioY/Product_demand_forecast

利用機器學習方法預測產品的需求量

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samirsaci/inventory-periodic

Implement inventory management rules based on a periodic review policy

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samirsaci/ml-forecast-features-eng

Machine Learning for Retail Sales Forecasting — Features Engineering

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Knowledge-Precipitation-Tribe/Spatio-Temporal-papers

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

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stanvir/language-gisdk Fork of wsp-sag/language-gisdk

Atom syntax highlighting for GISDK scripts

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kproductivity/grupo-bimbo-inventory-demand

Grupo Bimbo inventory demand Kaggle competition

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grimmlab/HorticulturalSalesPredictions

Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions

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AneeshaaSC/pwc_task

Interview task submission

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PREETHIKA-N-C/Product-Demand-Prediction-using-Decision-Tree-Regressor

In today's dynamic marketplace, accurately forecasting product demand is essential for optimizing inventory management, production planning, and ensuring customer satisfaction. This project capitalizes on the potential of machine learning to tackle this critical business challenge.

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anafisa/NYC-Taxi-Demand-Prediction

The primary objective of this project is to build a Real-Time Taxi Demand Prediction Model for every district and zone of NYC.

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dishadas168/demand-forecasting-ebay

A demand forecasting pipeline deployed on Azure and AWS

Language: Python - Size: 1.31 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 2

analyticswithali/Airline-Demand-Forecasting

Minimize forecast errors by developing an advanced booking model using Python

Language: Python - Size: 582 KB - Last synced: 7 months ago - Pushed: over 5 years ago - Stars: 10 - Forks: 9

antongiannis/dr-behaviour-modelling-residential

Code repository for the paper "Data-driven modelling of energy demand response behaviour based on a large-scale residential trial".

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artc-dsc/ms_forecasting Fork of sdonohoo/forecasting

Time Series Forecasting Best Practices & Examples

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arora-amit37/demand_planning_forecasting

The goal of this project was to explore demand forecasting using R, analyze trends, seasonality, and create ARIMA models to predict future demand. This README provides an overview of the project and its structure.

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tpe-doit/YouBike-Optimization

A project focused on YouBike optimization, including improvement of dispatch strategies and prediction of potential demand.

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magoavi/ma_pub_dis

📘LBF presentation on demand forecasting models

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webartifex/urban-meal-delivery-demand-forecasting

[READ-ONLY MIRROR] LaTeX files for the paper "Real-time Demand Forecasting for an Urban Delivery Platform"

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yashkim77/AV_Food_Demand_Challenge

Food Demand Forecasting Challenge

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aldente0630/mofc-demand-forecast

Time Series Forecasting for the M5 Competition

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atharvapathak/Sales_Forecasting_Project

Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models

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wondamo/Data-Science-Projects

This repo contains my data science projects

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airsim/rmol

C++ Simulation Revenue Management (RM) Open Library

Language: CMake - Size: 8.92 MB - Last synced: 29 days ago - Pushed: about 2 months ago - Stars: 14 - Forks: 4

adithya8/Multiplex-Food-Sale-Prediction

Forecasting Food Sales in a Multiplex Using Dynamic Artificial Neural Networks

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PeterSchuld/Stanford-BUS150W-FinancialModeling_OptimalAssetAllocation

The final project for Stanford Continuing Studies course BUS 150 W "Financial Modeling and Business Decisions" by Iddo Hadar, Summer 2017. This online course provides students with the methods and the mindset to make complex financial and economic decisions, by framing them as analytical models and using Microsoft Excel spreadsheets to solve them.

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ben-a-f/mh-service-model

This repository is a work in progress! The aim is to create a healthcare service capacity-and-demand forecasting tool using discrete-time simulation package SimPy.

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camilamaestrelli/Demand-Forecasting-Regression_Competition

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OzgenOzan/forecastpharma

Labelling and Forecasting various pharmaceuticals

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kualta/cast

crypto demand forecasting

Language: Python - Size: 143 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 1

tohid-yousefi/Machine_Learning_Algorithms_for_Time_Series_Analysis_Demand_Forecasting

In this section, we will use machine learning algorithms to perform time series analysis.

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javierdemartin/neural-bikes 📦

Bike sharing prediction based on neural nets

Language: Python - Size: 37 MB - Last synced: 4 months ago - Pushed: almost 3 years ago - Stars: 14 - Forks: 0

Kalyancln/Inventory_Planning_Suppy_Chain_Demand_Forecasting

Six Sigma Green Belt-Enhanced inventory planning process by implementing ML ARIMA model

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raginisharma96/last_mile_connectivity

Problem Statement for Bounce Hackathon 1.0

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Anne-FleurH/Time-Series-Forecasting

Forecast the lettuce demand for four US-based branches of a fast-food restaurant chain to support inventory replenishment decisions.

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liorleiba/Ice-Sales-Campaign-Analysis

The project is analyzing Ice Games sales throughout their lifetime in order to plan the next marketing campaign, as well as spotting and profiling potentially top-selling games.

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Jchow2/R-airline-covid19

How does type of major airport and year of flight affect flight path demand? Interested in the relationship between the COVID-19 pandemic and demand for certain flight paths.

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airsim/sevmgr

C++ Simulation Discrete Event Management Library

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airsim/travelccm

C++ Simulation Travel Customer Choice Model (CCM) Library

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airsim/trademgen

C++ Simulation Travel Demand Generation Library

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airsim/tvlsim

The Travel Market Simulator project aims at providing reference implementation, mainly in C++, of a travel market simulator.

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Praveen2812git/item_demand_forecasting

A machine learning model to predict the demand of the particular item for the next 3 months from the given date.

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samchak18/Demand-Prediction-for-Public-Transport-in-Nairobi

AlmaBetter Capstone Project -Machine Learning Project type: Regression. This challenge asks you to build a model that predicts the number of seats that Mobiticket can expect to sell for each ride

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mahin-arvind/Seoul-Bike-Sharing-Demand-Prediction-Capstone-Project

In this project, the Seoul Bike Share Demand dataset was used to understand bike share use trends, apply machine learning techniques to predict the number of bikes rented at any given hour and provide reasonable explanations from the best predicting model to understand factors affecting bike share demands.

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miniminii/Demand_Forecasting_Gas

[LSTM/XGBoost/Catboost] 데이콘 가스공급량 수요예측 모델 개발 대회 (2021.09~2021.12)

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AlekhyaBhupati/Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-Algorithms

Internship project

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weimingwill/inventory-system

E-commerce Inventory System developed using Vue and Vuetify

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ishana7/Demand-Forecasting

Part of CS657 Mining Massive Datasets

Language: Jupyter Notebook - Size: 1.27 MB - Last synced: 11 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

old-school-kid/Warehouse-management

A software prototype web app for demand forecasting, inventory management and food tracking using machine learning and blockchain.

Language: Jupyter Notebook - Size: 65.2 MB - Last synced: 12 months ago - Pushed: over 2 years ago - Stars: 4 - Forks: 0

kozodoi/DMC_2020

Profit-driven demand forecasting with gradient boosted trees

Language: Jupyter Notebook - Size: 542 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 5 - Forks: 4

datablogger-ml/Time-Series-Forecasting

Forecasting the Production Index using various time series methods

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iCUE-Solutions/iCUE-Growth-Services-Public

Growth. predictable, profitable, reliable.

Size: 1.89 MB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 1

Pegah-Ardehkhani/Airline-Flight-Demand-Forecasting

Forecast the Airline Flight Demand Using ARIMA and AR

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RafalKucharskiPK/Model_Ogolny_Miejskiej_Mobilnosci

Model ogólny mobilności miejskiej dla miast małych i średnich - do celów dydaktycznych, badawczych i innych (c) Rafal Kucharski, Politechnika Krakowska, 2018

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cassie0729/stats-551

This repository is for stats 551 final project

Language: Jupyter Notebook - Size: 3.77 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

mohammadjoshaghani/Hierarchical-demand-forecasting

Predict M5 kaggle dataset, by LSTM and BI-LSTM and three optimal, bottom-up, top-down reconciliation approach.

Language: Jupyter Notebook - Size: 1.43 MB - Last synced: 11 months ago - Pushed: over 1 year ago - Stars: 6 - Forks: 1

swaraj-jain/Warehouse-management-1

A software prototype web app for demand forecasting, inventory management and food tracking using machine learning and blockchain.

Size: 65.4 MB - Last synced: 12 months ago - Pushed: over 3 years ago - Stars: 2 - Forks: 1

KaranJoseph/DemandForecasting_SCA

Demand Forecasting using time-series and tree based models for a CPG company that serves US and Canada. Inventory Management using Mixed Integer Linear Programming on the best forecast model.

Language: Jupyter Notebook - Size: 71.2 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0

abhinav1024/bike_rental_demand_forecasting

A Linear Regression Project

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kumarchinnakali/digital-foundry-demand-forcasting

In tune with conventional big data and data science practitioners’ line of thought, currently causal analysis was the only approach considered for our demand forecasting effort which was applicable across the product portfolio. Experience dictates that not all data are same. Each group of data has different data patterns based on how they were sold and supported over the product life cycle. One-methodology-fits-all is very pleasing from an implementation of view. On a practical ground, one must consider solutions for varying needs of different product types in our product portfolio like new products both evolutionary and revolutionary, niche products, high growth products and more. With this backdrop, we have evolved a solution which segments the product portfolio into quadrants and then match a series of algorithms for each quadrant instead of one methodology for all. And technology stack would be simulated/mocked data(Hadoop Ecosystem) > AzureML with R/Python > Zeppelin.

Language: R - Size: 1.38 MB - Last synced: 4 months ago - Pushed: almost 7 years ago - Stars: 7 - Forks: 5

Vitens/DBM

Dynamic Bandwidth Monitor; leak detection method implemented in a real-time data historian

Language: Visual Basic .NET - Size: 15 MB - Last synced: 29 days ago - Pushed: 6 months ago - Stars: 15 - Forks: 7

youngmki/walmart-sales-forecast

Time Series Forecasting for Walmart Store Sales

Language: Jupyter Notebook - Size: 5.26 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 5 - Forks: 1

Aniket-Thopte/Demand-Forecasting-Public-Bike-Rental-Predictive-Modeling-

Developed multiple predictive models with 90% accuracy for forecasting the daily-hourly bike rental count using Python & Machine Learning techniques like Regression, Clustering, Ensemble, Neural Network to achieve maximum accuracy

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tianrui98/Demand-Forecast

Forecast the demand for each product in the next month for a group of Walmart stores, using statistical modeling (ETS) and machine learning (LGBM, XGBoost, RandomForest). This is a team project contributed by Leyli Ramazanova, Sviatlana Yasiukova, Simone Genetin, and myself.

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to-schi/kaggle-bike-sharing-demand

EDA, feature engineering, polynomial featurization, comparison of several machine learning algorithms and cross-validation.

Language: Jupyter Notebook - Size: 5.42 MB - Last synced: 4 months ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

rohanchauhan/demand-forecasting

We forecast demand of products for hierarchical time series data.

Language: Jupyter Notebook - Size: 22.3 MB - Last synced: 4 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

myevertime/LPOINT-BigData-Analysis

2018 Lpoint Big Data Competition

Language: Python - Size: 41 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 3 - Forks: 0

Hermann-web/Demand-forecasting-with-python

How to make forecast with python ? I develop a software that allows to : - Make commercial forecasts from a history - Compare several forecasting methods - Display the results (forecasts and comparison)

Language: Python - Size: 85 KB - Last synced: 4 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 1

munikarmanish/retail-demand-forecast

Language: Jupyter Notebook - Size: 691 KB - Last synced: about 1 year ago - Pushed: almost 6 years ago - Stars: 2 - Forks: 4

station-demand-forecasting-tool/sdft

R package for the Station Demand Forecasting Tool

Language: R - Size: 992 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 1 - Forks: 0

ismaildawoodjee/Forecasting-Intermittent-Demand

Data Mining Cup 2020

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kamakshig20/digital-foundry-demand-forcasting Fork of kumarchinnakali/digital-foundry-demand-forcasting

In tune with conventional big data and data science practitioners’ line of thought, currently causal analysis was the only approach considered for our demand forecasting effort which was applicable across the product portfolio. Experience dictates that not all data are same. Each group of data has different data patterns based on how they were sold and supported over the product life cycle. One-methodology-fits-all is very pleasing from an implementation of view. On a practical ground, one must consider solutions for varying needs of different product types in our product portfolio like new products both evolutionary and revolutionary, niche products, high growth products and more. With this backdrop, we have evolved a solution which segments the product portfolio into quadrants and then match a series of algorithms for each quadrant instead of one methodology for all. And technology stack would be simulated/mocked data(Hadoop Ecosystem) > AzureML with R/Python > Zeppelin.

Language: R - Size: 361 KB - Last synced: 4 months ago - Pushed: almost 7 years ago - Stars: 1 - Forks: 0

fernandito77777/AWSForecastWorkshop

Introduction to AWS Forecast, and how to implement forecast prediction on AWS Forecast

Size: 4.49 MB - Last synced: 12 months ago - Pushed: about 3 years ago - Stars: 0 - Forks: 1

JINHEE-KANG/GoYang_bike

COMPAS 고양시 공공자전거 스테이션 최적 위치 선정(2020.08.23-2020.09.11)

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sebashc3712/demand_pattern_recognition_with_clustering

Demand pattern recognition using k-means algorithm in Python

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