milonigada09/Supply-Chain-forecasting-deep-learning
In this project, we leverage Deep Learning algorithms to build robust forecasting system that monitors the change in the demand side and aligns the supply side to make up for the inaccuracy of the forecasts and randomness in demand, helping retailers increase their inventory and planning efficiency.
This project helps retailers predict future sales by analyzing past sales trends and other influencing factors. It takes in historical sales data and provides forecasts to optimize inventory levels and replenishment strategies. The primary users are retail planners, inventory managers, and operations teams focused on supply chain efficiency.
No commits in the last 6 months.
Use this if you are a retailer looking to improve sales forecasting accuracy, reduce excess inventory, and lower warehousing and transportation costs.
Not ideal if you need a real-time, instantaneous forecasting system for highly volatile, rapidly changing demand, or if you have very limited historical sales data.
Stars
26
Forks
8
Language
Jupyter Notebook
License
—
Category
Last pushed
Jul 28, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/milonigada09/Supply-Chain-forecasting-deep-learning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
samirsaci/ml-forecast-features-eng
Machine Learning for Retail Sales Forecasting — Features Engineering
georgeguimaraes/soothsayer
Elixir library for time series forecasting, inspired by Facebook's Prophet and NeuralProphet
Pradnya1208/Time-series-forecasting-using-Deep-Learning
The goal of this notebook is to implement and compare different approaches to predict ...
AstraZeneca/judgyprophet
Forecasting for knowable future events using Bayesian informative priors (forecasting with...
DSkapinakis/sales-time-series-forecasting-ml-models
Sales Time Series Forecasting using Machine Learning Techniques (Random Forest, XGBoost, Stacked...