Decision acceptance deadline

13.10.25 (inclusive)

Form of award

Contract

Product status

Idea

Task type

ICT tasks

Сфера применения

Light industry

Область задачи

Neurotechnology and artificial Intelligence

Type of product

Software/ IS

Problem description

Digital transformation of logistics using neural networks for forecasting based on historical data and external factors (weather, market).

Expected effect

Digital transformation of logistics using neural networks for forecasting based on historical data and external factors (weather, market).

Full name of responsible person

Saduov Radmir

Purpose and description of task (project)

The system should use machine learning to analyze supply, logistics, and demand data, predicting delays, optimizing routes, and minimizing costs. It includes integration with ERP systems, real-time big data processing, and dashboards for decision-making.

Note