APRO Software

APRO Software was hired by a tools manufacturer to develop a forecasting system for their supply chain. The system was designed to predict demand and recommend order quantities to maintain optimal inventory levels. The forecasting system incorporated variables such as economic conditions, local situations, exchange rates, economic growth, seasonality, and weather, using machine learning to improve accuracy. A team of two AI developers and a project manager from APRO worked closely with the client, delivering regular updates throughout the project. The client was impressed with APRO's expertise in AI and their thorough analysis of the problem.

In another project, APRO Software developed a network traffic forecasting system for a telecommunications company. The system was designed to improve congestion control, anomaly detection, and bandwidth allocation by incorporating variables like weather, holiday season, week time, and certain events into the forecasting model. The client chose APRO because of their experience with AI forecasting models and their comprehensive technical offer. The project involved four machine learning developers, a frontend developer, a backend developer, and a project manager from APRO.

APRO Software was engaged by Stantum s.r.o., a software company, to develop an ERP module for forecasting. The module used machine learning AI models to predict demand more accurately. The client had prior experience working with APRO and appreciated their expertise. The forecasting model incorporated several variables not typically used in traditional trend models, resulting in improved forecasting results. The project was carried out by a part-time python developer from APRO.