FerasBasha / Forecasting-Retail-Sales-Using-Google-Trends-and-Machine-Learning
Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management - Mémoire/Thesis; HEC Montréal.
☆41Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Forecasting-Retail-Sales-Using-Google-Trends-and-Machine-Learning
- Supply Chain Optimization with Python☆76Updated last month
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆33Updated 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 2 years ago
- Inventory Management for Retail — Deterministic Demand☆16Updated last month
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆41Updated 4 years ago
- AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-AlgorithmsInternship project☆50Updated 3 years ago
- Streamlit Application for ABC Analysis & Product Segmentation☆17Updated last month
- n this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the fi…☆19Updated 4 years ago
- Machine Learning for Retail Sales Forecasting — Features Engineering☆57Updated last month
- Predicting Global Supply Chain Outcomes for Essential HIV Medicines using Machine Learning Techniques☆31Updated 4 years ago
- Deterministic and Stochastic Dynamic Programs for optimization of Supply Chain