An analysis, with a focus on demand forecasting, of transactional data associated with over 2.5 million customers and 31,868 SKUs over the month of March in 2018 from JD.com, one of China’s largest retailers.
☆16Oct 4, 2020Updated 5 years ago
Alternatives and similar repositories for data-analytics-in-supply-chain
Users that are interested in data-analytics-in-supply-chain are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Software package for intertemporal pricing optimization under reference effects and consumer heterogeneity estimation. Please see REAMDE.…☆10Mar 7, 2024Updated 2 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…☆12Jul 13, 2020Updated 5 years ago
- Predicting Global Supply Chain Outcomes for Essential HIV Medicines using Machine Learning Techniques☆43Dec 13, 2019Updated 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
- 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
- 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.
- Supply chain optimization and analytics in python. Examples and practice problems discussed in MIT Micromasters in Supply chain managemen…☆21Apr 29, 2019Updated 7 years ago
- An ANN-LSTM based Model for Learning Individual Customer Behavior in Response to Electricity Prices☆11Mar 27, 2020Updated 6 years ago
- The goal of the project was to design the logistic model of autonomous robots that would supply garment parts from the Cutting Dept to th…☆26Nov 18, 2021Updated 4 years ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆13May 8, 2019Updated 7 years ago
- Build Supply Chain Sustainability Reporting with Python☆60Jan 3, 2026Updated 5 months ago
- top3-solution☆10Feb 28, 2020Updated 6 years ago
- Link to paper: https://www.ssrn.com/abstract=3804655☆13Jul 27, 2021Updated 4 years ago
- Implemented supply chain management scripting to optimize inventory classification and supplier management processes through the use of A…☆14Feb 21, 2023Updated 3 years ago
- Supply Chain Optimization with Python☆119Jan 14, 2026Updated 5 months 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.
- Supply Planning using Linear Programming with Python☆15Jan 3, 2026Updated 5 months ago
- Learning based Multi-scale Feature Engineering in Partial Discharge Detection☆19Nov 14, 2022Updated 3 years ago
- Analysis of User Profile of Century Jiayuan☆11Dec 30, 2023Updated 2 years ago
- Reduce Warehouse Space with the Pareto Principle using Python☆22Jan 3, 2026Updated 5 months ago
- Use SageMaker's DeepAR algorithm to continuously develop store inventory forecasts in response to changing data.☆16Oct 6, 2022Updated 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
- RBC Model Jupyter Notebook☆10Feb 27, 2019Updated 7 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
- 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
- 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.
- 2019ccf乘用车销量预测Top1%代码☆13Nov 26, 2019Updated 6 years ago
- Quality Assurance for Cold Chain Networks using Blockchain and IoT with Optimal Routing☆23May 23, 2024Updated 2 years ago
- Using LSTM and CNN to detect faults in power grids☆15Jan 18, 2019Updated 7 years ago
- Analyze a large dataset containing website users data (Google Analytics data) from the Google Merchandise Store, a real ecommerce store. …☆11Oct 14, 2019Updated 6 years ago
- Double/Debiased Machine Learning implementation for Stata☆19Feb 12, 2026Updated 4 months ago
- Code for optimal execution☆12Oct 29, 2020Updated 5 years ago
- ☆23Nov 17, 2021Updated 4 years ago
- Operations Research Tutorial with Python☆11Jun 21, 2022Updated 3 years ago
- Demand forecasting of items using three step machine learning model. Clustering - Classification - Prediction☆30Oct 18, 2020Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- How to use XGBoost for multi-step time series forecasting☆45Nov 2, 2022Updated 3 years ago
- 整理所有特征工程用到的方法,为了复用☆11Jan 11, 2021Updated 5 years ago
- Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.☆34Jan 27, 2021Updated 5 years ago
- 14天完成数据分析实战项目☆10Sep 7, 2022Updated 3 years ago
- This project involves analyzing the sales data from Hafsat Signature Ventures' ecommerce website using Python-based visualization tools. …☆13Apr 16, 2023Updated 3 years ago
- Examples for Econ 712, Fall 2013☆16Feb 17, 2020Updated 6 years ago
- Unlocking the power of computation to solve richer economic models☆40May 26, 2026Updated 3 weeks ago