With the same data integration and just a few predictive queries, ensure that every touchpoint with your customer is as delightful as possible and drives long-term engagement while improving product sales.
An F500 on-demand food delivery service increased GMV by $100M from better personalized store recommendations
A leading grocery chain improved personalized new item recommendations by 24% in 1 week
An emerging markets on-demand delivery service improved merchant recommendations by 40% in 4 days
Kumo makes it easy to define the ML task using a simple, declarative language, and then uses AutoML to execute a highly optimized and fully tuned model. Build the query and predict the future!
Structure your problem using a simple query to predict affinity to categories, brands, and products.
Predict 7-day category-specific purchase affinity:
PREDICT LIST_DISTINCT(Orders.Store_ID -> Stores.category, 0, 7) FOR EACH Users.ID
Predict 7-day brand-specific purchase affinity:
PREDICT LIST_DISTINCT(Orders.Store_ID -> Stores.brand, 0, 7) FOR EACH Users.ID
Predict user will return a product they purchased within 30 days:
PREDICT EXIST(Returns.itemID, 0, 30) ASSUMING EXIST(Orders.itemID, 0, -30) FOR EACH Users.ID
Unleash the predictive power of your enterprise data