How Kumo achieved model performance 20% better than the baseline for predicting personalized recommendations
Recommendation systems are one of the most powerful tools that consumer marketplaces have available to them.
A leading US online personal finance & banking company wanted to improve revenue by doing targeted outreach to client’s users who might be interested in taking revenue-generating actions on their site – such as opening new accounts.
A Fortune 500 on-demand food delivery service wanted to increase its revenue by better personalizing their recommendations.
In an effort to help reduce customer churn and retain revenue, this payment company had built a retention team and created retention programs.
A leading grocery chain wanted to increase their sales by sending personalized physical flyers with a dozen coupons to their clients to encourage them to buy things they might want to buy.
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