VR - FINNISH RAILWAYS
Weoptit helped VR to study how locomotive maintenance schedule optimization can improve rolling stock usage, maintenance resource planning and help choose optimal maintenance depots. The results aided VR in deciding whether to invest in a new maintenance depot.
Weoptit developed an Artificial Intelligence solution for automatically reading scanned PDF:s containing financial statements of companies. The solution reduced manual labor by 15% already in the first months after implementation.
Weoptit developed a solution that reads data and inputs it back in the correct format to Remeos system. We developed a new algorithm that evens out the waste pick up frequency on a weekly basis. The solution takes into consideration key factors and forms optimal routes for each day in a large city-wide area.
Weoptit developed prediction and effectiveness analysis tools for an airline company. The tools help to make preparations and better decisions in a fast-paced operative environment. Machine learning and data visualization technologies were utilized.
Weoptit’s solutions are used by several Finnish companies to track competitor prices online and to generate price recommendations.
Weoptit’s world-class routing algorithms have proved valuable for many of our customers. They have been integrated to several logistics planning systems used in Finland.
Weoptit modeled the production process of a factory. Using the model we simulated several future demand scenarios and their impact on production. The insights helped the client make well-informed investment decisions in their facility.