It does not blast everyone.
Failed payments and dropped carts stream in live - watch it suppress the wrong targets, fix the right ones, and prove the lift vs a control group.
The simulated stream demonstrates the decision engine on synthetic events whose outcome rates are hand-set priors (adjustable below). Upload your own contacted / control / suppressed events and the entire dashboard - rates, incremental revenue, the 95% CI - is recomputed from your rows as an observed read. Parsing runs in your browser; nothing is uploaded to a server.
Need ≥20 events in each arm before the lift is readable - contacted 0, control 0. The headline figure is a provisional point estimate. Wald interval on a difference of two binomial proportions (contacted vs held-out control). Conditional on the simulation priors below: with synthetic events this interval can only converge on the lift the priors encode. It validates the measurement pipeline - it is not evidence about any real merchant. Upload your own events (above) for an observed read.
Each button drops one specific case into the stream and spotlights its full decision trace on the right.
These sliders ARE the assumptions every number above is computed from - drag one and the whole dashboard re-scores the recorded event history under the new prior (same random draws, new rates). That the “proof” follows the sliders is exactly the point: simulated evidence is circular by construction. The honest uses are sensitivity (how wrong can the assumptions be before the economics die?) and the CSV import above, which replaces all of this with observed events.
Every suppression is logged with a reason. This is the product's judgment, not inaction.
Swipe the table sideways to see every column.
| Channel | Sent | Won | Recovered | Cost / recovery |
|---|---|---|---|---|
| No outreach yet. | ||||
Swipe the table sideways to see every column.
| Reason | Tier | Contacted | Recovered | Win rate | Revenue |
|---|---|---|---|---|---|
| No contacted events yet. | |||||
An independent concept composing real, separate Cashfree products into one recovery agent. Hover any row for the exact scope. Not affiliated with Cashfree.
- Decision engine · traceable per event
- Attribution math · holdout + Wald CI
- CSV import · recomputes in-browser
- Live LLM copy · rendered as a preview
- Events, customers & amounts · synthetic
- Every rupee / rate · conditional on priors
- Gateway webhooks & WhatsApp/SMS/voice · not wired
- RiskShield / RTO scores · synthetic stand-ins
- Cart Recovery · cashfree.com/docs/payments/checkout/cart-recovery
- RTO Intelligence · cashfree.com/docs/payments/checkout/cod/rto
- RiskShield · cashfree.com/risk-shield-payment-gateway
- ~70% of online shopping carts are abandoned on average (70.22% aggregate of 50 studies, 2006-2025). · Baymard Institute, Sep 2025
- Prepaid has overtaken COD in tracked D2C volume (~62% prepaid vs ~38% COD), though COD still leads many tier-2/3 markets. · Unicommerce, CY2024