IKASI AI

Founded 2016

Determine cause-and-effect customer actions to set personalized pricing, promotions, and offers

You can use IKASI to uncover what truly causes customer behavior changes and tailor individual business actions accordingly. It connects to your existing enterprise customer datasets to find revenue opportunities that standard predictive models miss. The system delivers specific pricing recommendations, targeted promotional offers, and individualized incentives without wasting marketing spend. Instead of simple correlations, you receive clear explanations for every decision outcome. This assists teams in retail, financial services, and gaming to boost customer retention, protect margins, and increase overall lifetime value across accounts.

What IKASI AI does

Target individualized discount offers to high-value customersAnalyze cause-and-effect drivers behind customer purchase decisionsConnect enterprise databases to run causal inference testsTrack profit and revenue improvements resulting from targeted incentivesReview explainable model outputs behind pricing recommendationsAdjust offer strategies to prevent unnecessary promotional wasteCausal AI modeling that identifies direct cause-and-effect customer behaviorDe-identified customer data processing to ensure privacy complianceExplainable decision recommendations rather than black box predictionsAutomated individual pricing and promotion matchingContinuous learning models that adapt to shifting market conditionsData integration designed to connect with existing enterprise systems in days