Industry-leading demand forecasting
Applying cutting-edge AI research to fresh forecasting to accurately predict future sales for each SKU, at each store, on each day.
An intelligent brain for item-level forecasting
Developed out of AI research, our proprietary algorithm takes a novel approach to deep learning that goes beyond traditional machine learning: it mimics the way that a human brain learns complex causal patterns at a very granular level.
Traditional ML models get easily overwhelmed by too much data, struggling to capture individual nuances and often confusing correlation for causation. Our model architecture allows us to process billions of data points and better identify the causal interactions between the data points.
Demand changes based on what is happening in the real world.
Is it raining? Is there a sports match near your store? Is graduation for your local high school happening today? These local events are behind the large peaks and troughs in your demand.
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See the difference
If the algorithm doesn’t know there is a football game next Monday, it won’t be able to capture the spike in demand caused by the game. That’s why we incorporate thousands of local data points into our algorithm.
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See it in action
Explore how different variables impact forecasting accuracy on our playground demo.
We train a custom algorithm that is unique to your stores.
We work closely with you to add in any external variables to reflect the realities of your stores, not of an average grocery store.
Meet with our team
We know that every retailer is different and that each department has its own unique needs. Share with us your specific business needs, and we’ll build a solution that is perfect for you.
