Customer Reorder Prediction
Ingestion
Ingest historical sales data from your existing ERP system.
Measuring
Automatically measure seasonality, cadence, usage, and popularity of similar items.
Featurization
Apply proprietary featurization and assign a probability that measures the likelihood a customer is ready to reorder.
Scoring
Recurrency surfaces the customers most ready to order, improving revenue and efficiency.
Enterprise Grade Artificial Intelligence
Recommendations you can trust from some of the world's leading data scientists.
Explainable
The system provides reasoning for every pricing recommendation.
Timely
Up-to-date reorder recommendations ensure your team never misses an opportunity to delight customers and secure revenue.
Connected
Reorders don't just happen on the first and 15th of each month. They're driven by weather, events, and other forces that drive consumption. We consider it all.
Use Cases
Put AI-powered reorder predictions to work.
