Machine learning for cleansing, learning, and adapting
With supervised machine learning, our solutions can first understand the historical patterns and then be introduced to a broader data set over time, cleansing and allowing it to find patterns that humans can’t detect as accurately or efficiently.
We specialize in high-volume retail, so we know exactly how to train and optimize our models for the nuances and specifics of this industry, rather than taking a generalized approach. And with external variables and contextual data such as events calendars, seasonality, weather, or even extreme outliers, we deliver the most accurate forecasts.