Payment Orchestration and Payment Optimization

47% of merchants say false declines are cutting into their revenue, and PYMNTS Intelligence pins the industry-wide cost around $50 billion a year. 

A lot of that traces back to a simple mix-up: teams treat payment orchestration and payment optimization as the same thing, then wonder why fixing one doesn't fix the other. Here's the actual difference between the two, and how they work together to stop the bleeding at checkout.

What is payment orchestration?

Payment orchestration is the connectivity layer that lets you plug into multiple gateways, processors, fraud tools, and digital wallets through one integration, instead of building and maintaining each connection yourself.

Add a new PSP in Brazil or swap out a fraud vendor, and orchestration is what keeps your checkout from a rebuild each time. The more of the payments ecosystem you can touch without new engineering work, the more legitimate transactions you have a shot at capturing.

What is payment optimization?

Payment optimization is what happens once that connectivity exists: the transaction-level decisions, like routing, retries, network tokenization, and BIN-level rules, that raise the odds any single payment goes through.

Picture a subscription merchant who notices declines clustering around a handful of BIN ranges, the six digits at the start of a card number that identify the issuing bank. Rather than accept the loss, they stand up a second PSP and route just those BINs through it. That's optimization: a specific fix, aimed at a specific pattern in the data, that orchestration made possible in the first place because the merchant already had a second PSP to route to.

Network tokenization adds another layer on top. Swapping a stored card number for a token that the card network keeps current on its own adds roughly 4.6 percentage points to authorization rates, according to Spreedly's own data on the practice.

How orchestration and optimization work together

Let’s go ahead and take that same subscription merchant further. They onboard a third-party fraud provider through their orchestration layer, a connection that used to mean months of engineering work and now takes an afternoon. Once that provider is live, they optimize by routing high-risk signups through it for extra scrutiny, while lower-risk repeat customers go through a lighter path.

As volume grows in their core market, they can start adding network tokens through Vault, and every stored card on file updates itself instead of failing when it expires, with nobody noticing until the decline shows up in the ledger. 

None of this happens in order and then stops. Orchestration and optimization run at the same time, on the same transactions, for as long as the business keeps taking payments.

Why false declines make this distinction matter right now

47% of merchants told PYMNTS Intelligence in March that false declines, good customers wrongly rejected as fraud, are actively costing them sales, with industry-wide losses estimated around $50 billion a year. That figure matters here because of what it implies about the merchants who can't act on it.

Knowing you have a false-decline problem is optimization-level insight. Doing anything about it requires orchestration you already have in place. If your fraud tool is too aggressive and you have no second one to route around it, or your primary provider works fine in the US but poorly in Brazil and you have no local option to fall back on, that insight sits on a dashboard while revenue keeps slipping out the door.

What's changed in payment orchestration since 2023

The market backs this up. Mordor Intelligence sizes the payment orchestration platform market at $3.13 billion in 2026, growing at an 18.31% CAGR to $7.27 billion by 2031. What counts as orchestration keeps expanding too, from a handful of gateway connections a few years ago to the full mix of wallets, fraud tools, and now AI agents that a modern payments stack has to handle. That's part of why the evolving definition of orchestration keeps stretching to cover more ground each year.

AI shopping agents that transact on a customer's behalf are the newest addition to that list, and they need the same thing a human checkout does: a payments layer that can route, authenticate, and store credentials without a rebuild every time a new agent protocol shows up. An agent buying groceries on someone's behalf doesn't care whether the merchant is running one processor or a dozen behind the scenes. It just needs the transaction to go through.

Spreedly has already made agentic commerce a live channel inside its open payments platform, so agent-initiated transactions run over the same infrastructure merchants already use, with no separate integration required for every new AI checkout flow that shows up.

Where this leaves you

Orchestration and optimization aren't a project you finish and check off. They're ongoing work, and it gets harder as more payment methods, fraud patterns, and AI agents enter the picture. The merchants who treat both as continuous practice, not a one-time integration, are the ones still capturing revenue when all of it changes again next year.