APRO Software

APRO Software was hired by Stantum s.r.o., a software company, to develop a new ERP module for forecasting using machine learning AI models. The aim was to improve the prediction of demand. A single part-time Python developer from APRO worked on the project, leveraging old data to build the machine learning models which were integrated into the ERP system. This approach used several variables not typically used in traditional trend models, which significantly improved the forecasting results.

For a tools manufacturing company, APRO Software was tasked with developing a supply chain forecasting system. The system was designed to also recommend orders to keep up with forecasted demand, ultimately reducing storage needs. Using trend analysis and various variables such as economic factors, local situation, and weather, the team built a machine learning model to enhance forecasting. Two AI developers and a project manager from APRO were involved in the project, delivering improved forecasting and automated order suggestions based on the forecast data.

A telecommunications company engaged APRO Software to improve their network traffic forecasting using AI models. The goal was to enhance forecasting by incorporating variables like weather, holiday season, and week time into the machine learning model. A team of four machine learning developers, a frontend developer, a backend developer, and a project manager from APRO worked on the project, testing potential variables on past data to create the final models. The project resulted in significantly improved network traffic forecasting.