Newmind

Stock Prediction and Management Algorithm

Category National
Sectors Industry 4.0
Execution Period 2023-2024
Funding MINCONTUR - Programa de Apoyo a los Digital Innovation Hubs (PADIH)

Description

The objective of this project is to create an algorithm based on artificial intelligence and machine learning techniques for stock prediction and management. The outcome is a neural network model for predicting the daily demand for products, customizable for each client. This allows for adjusting stock levels based on predictions and optimizing the supply chain, thereby reducing costs associated with inventory management.

Consortium

Newmind, Instituto Tecnológico de Galicia (ITG)

Related projects

Plafor

Forecasting and monitoring algorithm for timber production

Ultradron

Enabling technologies for air transport logistics units

Smart2Reduce

4.0 solutions for the recycling industry using artificial vision, advanced photonics, and 3D printing