Demand forecasting of items using three step machine learning model. Clustering - Classification - Prediction
☆31Oct 18, 2020Updated 5 years ago
Alternatives and similar repositories for Supply-Chain-Analytics-Project
Users that are interested in Supply-Chain-Analytics-Project are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Forecasting of order demand in warehouses using auto-regressive integrated moving average(ARIMA).☆23Sep 16, 2020Updated 5 years ago
- Supply chain optimization and analytics in python. Examples and practice problems discussed in MIT Micromasters in Supply chain managemen…☆22Apr 29, 2019Updated 7 years ago
- Internship project☆58Mar 14, 2021Updated 5 years ago
- Sales forecasting for the supply chain industry.☆12Jun 26, 2021Updated 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…☆32Feb 9, 2018Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A machine learning model for predicting delayed deliveries in the supply chain of USAID, and forecasting the delay time of a potential de…☆10Apr 26, 2019Updated 7 years ago
- Reduce Warehouse Space with the Pareto Principle using Python☆21Jan 3, 2026Updated 6 months ago
- ☆24Jun 15, 2020Updated 6 years ago
- A Python library to design & optimize Supply Chains☆25Jun 16, 2020Updated 6 years ago
- Predicting sales of items in stores using Feed Forward Neural Network, Long Short Term Memory, Temporal Convolution Network & a hybrid of…☆15Jul 20, 2021Updated 4 years ago
- The objective of the project is to obtain the prediction of delivery date and freight cost based on the historic trend and attributes.The…☆10Aug 1, 2019Updated 6 years ago
- This work explains how OR and ML in tandem can help us making a cost efficient decisions. I have used a Supply Chain Network Design use c…☆25Jan 4, 2021Updated 5 years ago
- Financial Models using vba script and Python☆34Apr 13, 2021Updated 5 years ago
- ☆18Nov 26, 2023Updated 2 years 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.
- An analysis, with a focus on demand forecasting, of transactional data associated with over 2.5 million customers and 31,868 SKUs over th…☆16Oct 4, 2020Updated 5 years ago
- NYU Tandon Machine Learning and Finance Fall 2022☆11Dec 13, 2022Updated 3 years ago
- Product Segmentation for Retail with Python☆13Dec 30, 2025Updated 6 months ago
- A project for solving demand forecast of a medium retailer using a simple Deep Learning model☆19Jul 22, 2023Updated 2 years ago
- Fast Inventory simulation and optimization☆10Feb 23, 2025Updated last year
- top3-solution☆10Feb 28, 2020Updated 6 years ago
- Architected a SQL-based Superstore Data Warehouse to analyse trends of customer records to identify profitable market segments and design…☆12Sep 24, 2024Updated last year
- ☆11Oct 6, 2021Updated 4 years ago
- inventory simulation modules for single-echelon supply chain☆13Dec 25, 2018Updated 7 years 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.
- Shiny app for projecting retirement funds / benefits☆22Jan 6, 2026Updated 5 months ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆26Jun 14, 2019Updated 7 years ago
- This challenge aims to predict the estimated time of delivery of orders, from the point of driver pickup to the point of arrival at final…☆17Nov 27, 2019Updated 6 years ago
- Forecast sales for 350+ supplement retail chain stores for next 2 months. 2nd Rank solution.☆12Sep 20, 2021Updated 4 years ago
- ☆14Aug 23, 2021Updated 4 years ago
- Sequence clustering using k-means with dynamic time warping (DTW) and Damerau-Levenshtein distance as similarity measures☆20Aug 16, 2022Updated 3 years ago
- This is a Javascript project developed using npm, sass and gulp. The Javascript file will embed a chat widget on to your web page. All yo…☆11Dec 17, 2018Updated 7 years ago
- Link to paper: https://www.ssrn.com/abstract=3804655☆13Jul 27, 2021Updated 4 years ago
- Aspect Based Sentiment Analysis identifies the aspect terms and the sentiment polarity associated with each aspect term in the given revi…☆10Jun 12, 2021Updated 5 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.
- 2021阿里云供应链大赛之需求预测及单级库存优化，B榜73名☆30Nov 12, 2023Updated 2 years ago
- Understanding the supply chain process data and implementing different algorithms, building a machine learning model that can predict whe…☆13Sep 7, 2022Updated 3 years ago
- The project provides a real-world dataset focusing on supply chain analytics☆26Aug 26, 2023Updated 2 years ago
- In this project I developed LSTM models for uni-variate , multivariate , multi-step time series forecasting.☆11Feb 27, 2020Updated 6 years ago
- ☆15Oct 25, 2020Updated 5 years ago
- Using machine learning to solve one of the most common problem of Supply Chain domain, i.e Demand Forecasting.☆37Sep 8, 2021Updated 4 years ago
- Machine Learning Project where we predicted whether a customer will pass through a wait-list on IRCTC. Indian Railways get a lot of booki…☆12Feb 24, 2017Updated 9 years ago