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Churn-Busting SaaS

AI Subscription Orchestrator

Overview

Leverages Customer Profiles, Recurring Payments, Card Account Updater (CAU), and Inquire/Reporting/Funding APIs to predict churn from transaction patterns and history. The AI auto-optimizes billing timing and frequency, triggers smart dunning with personalized offers via email and SMS, and auto-updates expired cards — all integrated in minutes via profiles.

Key Metric
5-7%
Revenue recovered from churn
Market Angle

Subscription businesses lose 5–7% revenue to involuntary churn. Sell as a white-label add-on with a monthly fee plus a percentage of recovered revenue.

Revenue Model

Monthly SaaS fee + % of recovered revenue

CardConnect APIs Used

GET
/profile

Retrieve customer profile with stored payment tokens

PUT
/profile

Update profile with new card via CAU

POST
/auth

Process recurring authorization

GET
/inquire

Check transaction status for dunning logic

GET
/funding

Verify settlement for billing optimization

Interactive Demo

Step-by-Step API Simulation

Step 1: Detect Churn Risk

AI analyzes transaction patterns from the Inquire API to identify at-risk subscribers.

API Request
GET /cardconnect/rest/inquire?merchid=496160873888&retref=288002073633
Architecture Note

This demo simulates the API flow with mock data. In production, LevukaLabs' AI layer intercepts and enriches requests before forwarding to CardConnect's Gateway at https://<site>.cardconnect.com/cardconnect/rest/

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