Time is the fundamental essence of our lives, as everything happens within time. In the business world, time series forecasting is a crucial task that help companies make important decisions. Forecasting is a challenging task because of complex patterns and uncertainties.
There are various types of time series problems, such as demand forecasting, financial forecasting, healthcare forecasting, traffic prediction, and human action prediction. Each problem has its unique solution space, and SmartOpt doesn't rely on fixed tools to address these diverse problems. We follow essential steps when developing a forecasting solution:
The diversity of the fields we work in accumulates into a pool of models, enabling us to specialize in time series. Leveraging various methods such as machine learning, deep learning, and statistical/mathematical modeling, we ensure the most suitable approach to the problem. We select the most effective models with robust back-testing mechanisms, striving to achieve highly successful predictions as much as possible. We dedicate considerable time to each project, setting us apart from other companies...