Forecasting is a hard problem that entails anticipating and understanding cause and effect relationships that underlie real world events. This is more than a signal analysis exercise, it requires an ensemble of experts, human and statistical, and both novel techniques and deferral to proven methodology.

We've built a fully custom and general ML/AI forecasting platform from the ground up that creates a unique trace of your problem and execution profile to generate accurate predictions that can be directly sourced back to your management, operations and planning teams and incorporated into your BI reporting.

This allows reproducible and stable prediction across hierarchical or cross-learning time series in multiple industries. Our original use case, retail, is a tough and competitive market. We provide fast and accurate daily sales forecast and stock out anticipation that adapts to events and changes in fashion trends.

Suitable for perishable goods and grocery stores, nonperishable goods such as clothing or fast moving consumer goods, hardware stores and pharmacies, or e-commerce websites, we continually improve the core models based on your use case.

However, in the spirit of pure forecasting and anticipating cause and effect structures in rich datasets, we can deploy our algorithms to extensive and advanced forecasting problems in other industries, such as insurance, sports betting and network security.