FerasBasha / Forecasting-Retail-Sales-Using-Google-Trends-and-Machine-LearningLinks
Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management - Mémoire/Thesis; HEC Montréal.
☆48Updated 4 years ago
Alternatives and similar repositories for Forecasting-Retail-Sales-Using-Google-Trends-and-Machine-Learning
Users that are interested in Forecasting-Retail-Sales-Using-Google-Trends-and-Machine-Learning are comparing it to the libraries listed below
Sorting:
- Supply Chain Optimization with Python☆100Updated 8 months ago
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆37Updated 6 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆48Updated 4 years ago
- Inventory Management for Retail — Deterministic Demand☆17Updated 8 months ago
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆64Updated 5 years ago
- A low capacity and high capacity plant across 5 countries are considered and a linear programming model is built to determine the total l…☆19Updated 3 years ago
- Scripts inspired by book Inventory Optimization by Nicolas Vandeput.☆44Updated 4 years ago
- AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-AlgorithmsInternship project☆56Updated 4 years ago
- Predicting Global Supply Chain Outcomes for Essential HIV Medicines using Machine Learning Techniques☆42Updated 5 years ago
- Implement inventory management rules based on a periodic review policy☆14Updated 8 months ago
- Robust Supply Chain Network with Monte Carlo Simulation☆35Updated 8 months ago
- Demand forecasting of items using three step machine learning model. Clustering - Classification - Prediction☆29Updated 5 years ago
- Deterministic and Stochastic Dynamic Programs for optimization of Supply Chain☆19Updated 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…☆15Updated 5 years ago
- Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)☆99Updated 2 years ago
- In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…☆231Updated 3 years ago
- 5 machine learning techniques to forecast product sales☆143Updated 2 years ago
- What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…☆154Updated 2 years ago
- Build Supply Chain Sustainability Reporting with Python☆55Updated 8 months ago
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆68Updated 3 years ago
- Machine Learning for Retail Sales Forecasting — Features Engineering☆67Updated last year
- Senior Supply Chain Engineer using Data Science for Operational Excellence☆22Updated 3 weeks ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆78Updated 5 years ago
- The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.☆36Updated 3 years ago
- Electricity demand forecasting for Austin, TX, using a combination of timeseries methods and regression models☆43Updated 7 years ago
- Production Fixed Horizon Planning with Python☆31Updated 8 months ago
- The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previou…☆90Updated 3 years ago
- Algorithms Library for Supply Chain Inventory Optimization☆17Updated 6 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆15Updated 4 years ago
- This project focuses on time series forecasting to predict store sales for Corporation Favorita, a large Ecuadorian-based grocery retaile…☆17Updated last year