ikash.biz — payment orchestration

One checkout.
Many processors.

iKash routes every payment across multiple PSPs with cascade failover, BIN-aware rules, and settlement that stays clear when a single processor has a bad day. Declines become detours — not lost revenue.

0% Cascade recovery on soft declines
0+ PSP fallbacks per checkout
0 Unified API for merchants
PSP #1: soft decline
live_attempts.log — cascade
01
Primary PSP — issuer soft decline do_not_honour · cascade triggered
DECLINED
02
Fallback PSP — BIN-matched route retry policy · 320ms
RETRY
03
iKash cascade — PSP #3 captured 424242******4242 · routed in 840ms
CAPTURED
$
Settlement batch — net after fees merchant payable · fees itemised
PAID OUT
Checkout: success

Orchestration that ships revenue, not just MIDs

Connect once. Route intelligently. Settle with clarity.

🔀

Smart routing

BIN, geography, and performance rules pick the best PSP first — then learn which rails win over time.

BIN-awaregeo rulesbandit learning

Cascade failover

Soft decline on processor A? Instant attempt on B and C. Customers see one spinner; you keep the sale.

ranked fallbacksoft declinesauth lift
📊

Settlement & fees

Capture-time fee breakdown, reserves, and settlement batches — so finance is not four spreadsheets that never agree.

MDRreservesmerchant IPN

What breaks when you run on a single rail

Aggregators and single-MID stacks solve onboarding. They do not solve routing when that rail fails.

“Our primary processor went down for forty minutes. Checkout was up. Revenue was not.” — ecommerce ops lead
“We had one gateway. It had a bad day. So did our quarter.” — CFO discovering orchestration the hard way
“ISO got us a MID. Great. Still one bank. Still one point of failure. Still one spreadsheet for reconciliation.” — merchant comparing ISO vs orchestration
“Retrying the same card on the same gateway just trained fraud models to hate us.” — payments engineer, post-mortem

Single processor vs orchestration

Each approach solves part of the problem. iKash connects the whole chain.

Capability Single PSP (Stripe, PayPal, Square) ISO / aggregator iKash
Instant checkout onboarding ~ days–weeks underwritten + routed
Multi-PSP cascade on decline usually one MID ranked fallback
BIN / issuer-aware routing
Learning routes over time contextual bandit
Unified webhooks & merchant IPN ~ per-PSP ~ one status model
Settlement, reserve & fee engine ~ often manual automated
Survives a primary PSP outage ~ that’s the point

One checkout. Many PSPs. Clear payouts.

From card tap to merchant settlement — every hop is observable, routable, and recoverable.

🛒
Checkout Tokenized PAN, session-locked
🧠
Smart route BIN, geo, performance
🔀
Cascade PSP #1 fails → #2 → #3
📡
Webhooks PSP → platform → merchant IPN
📊
Finance Fees, reserve, settlement
↓ 23%

Decline leakage

Soft declines retried on better-matched routes instead of dying on the first refusal.

↑ 18%

Auth rate

Routing learns which PSP wins for your buyers by country, card type, and amount band.

− 40h

Ops time / month

Settlement batches, reserve release, and fee lines — not another colour-coded spreadsheet.

12+

Fallback rails

One processor cannot hold 100% of your revenue when you have multiple live paths.

Where money leaks — and how we plug it

Single rail

One MID. One acquirer mood swing. 100% of revenue hostage. ISOs solve underwriting but not routing — carts still die when the bank sneezes.

Ranked cascade

Decline on PSP A → instant attempt on PSP B with BIN-matched rules. Your customer sees one spinner. You see recovered margin.

Dumb retries

Hammering the same gateway with the same card trains fraud models against you. Chargebacks climb. Reserves widen.

Smart retry policy

Decline classification, cooldown windows, and bandit-optimised PSP selection — retry intelligently, not desperately.

Finance in Excel

MDR, rolling reserve, PSP cost, platform margin — calculated in tabs that never agree. Merchants stop trusting the numbers.

Finance engine

Capture-time fee breakdown, reserve schedules, settlement batches, and merchant notifications. Profit is not a guess.

Built for everyday ecommerce and digital commerce

Low-risk merchants who need higher auth rates, failover, and cleaner settlement — not a single-processor bet.

🛍️

Online retail & DTC

Fashion, beauty, home, and general merchandise — route by country and card brand so soft declines don’t kill the cart.

DTCretailmulti-currency
🔁

Subscriptions & SaaS

Recurring billing with smart retries across PSPs — keep renewals alive when one processor soft-declines.

SaaSmembershipsrebills
💻

Digital goods & services

Courses, software, bookings, and marketplaces — one checkout API, cascade failover, and clear merchant payouts.

digitalbookingsmarketplaces

How merchants connect with iKash

We tell you upfront whether orchestration fits — before you wire a single API call.

1
Message us Volume, markets, current processors, and what you want to improve. Reply within 24 business hours.
2
Fit & routing review We map your PSP mix, cascade strategy, and settlement model — no generic brochure.
3
Go live Merchant portal, API keys, checkout — orchestration running on ikash.biz.

Talk to a real person

Fit check, routing review, or go-live planning. Response within 24 business hours.

Talk to a human

We reply within 24 hours on business days. No ticket black hole.

✉️ Email sales

partners@ikash.biz

🛍️ Retail · SaaS · digital

Tell us your catalog & volume — we’ll say if orchestration is a fit before you integrate.

🕐 Hours

Mon–Fri · 9:00–18:00 UTC

Self-serve? Open merchant portal to sign up.

Your stack is optimised.
Your payments should be too.

Stop betting the business on a single processor. Route like you mean it.

Talk to sales

Side effects may include: higher auth rates, fewer midnight alerts, and quieter Mondays.