10 best checkout optimization platforms that use AI in 2026

Your shoppers fill their carts, reach checkout, and still leave without buying. Your ecommerce reports show the drop, but they can't tell you what pushed shoppers away.

Was it the check out form? The price? Or something completely different altogether?

Checkout optimization platforms that use AI help you find that cause and fix it. Here are the 10 best for 2026, what each one does, and how to choose the right one for your team.

Key insights

• Diagnose before you act. Checkout tools work best once you know which step makes shoppers leave.

• AI helps in 2 ways. Some tools explain shopper struggles, while others automate payments or offers.

• A small drop on a high-value step can cost more than a big drop elsewhere, so rank fixes by revenue

What is a checkout optimization platform?

A checkout optimization platform is software that removes friction between the cart and order confirmation. This means more shoppers who start checkout finish it.

Friction is anything that makes shoppers slow down or quit, like a confusing form or declined card. AI helps the platform spot and fix it in real time.

Checkout is the last step before revenue, so every exit costs you. That's why cart abandonment, when shoppers add items but don't buy, matters so much.

In our recent Benchmarks Report, we analyzed 99 billion sessions across 6,500+ websites. The cost of a visit rose 9% year over year, while conversion rate fell 5%. Additionally, average order value (AOV) grew 6%. Essentially, each lost checkout costs you more today than it did in previous years.

How AI improves ecommerce conversion rate at checkout

Ecommerce conversion rate is the share of sessions that end in a purchase. AI raises it by explaining why shoppers struggle and automating steps so fewer do.

Both jobs rely on behavioral data, which is the record of how shoppers click, scroll, and type on each page.

AI puts that data to work in 4 ways:

• Spotting friction: AI flags rage clicks (repeated fast clicks), form errors, and API errors (failed background requests)

• Predicting intent: AI reads in-session signals to show offers to shoppers who might leave

• Reducing payment failures: AI routes, retries, and screens payments, so fewer good orders get declined

• Shortening the path: AI picks which payment methods to show, and accelerated checkout fills in saved details

10 best checkout optimization platforms that use AI

No single tool covers all of checkout, so most teams need one from each of these 2 groups.

• Tools that diagnose: behavior analytics tools use heatmaps and session replays to show why shoppers leave

• Tools that act: payments, upsell, personalization, and testing tools change what shoppers see or how payment runs

1. Contentsquare

Before you change checkout, you need to know what's broken. Contentsquare is an AI-powered experience intelligence platform that shows ecommerce, product, and user experience (UX) teams why shoppers abandon checkout.

Say checkout conversion dropped last month. Here's how to find the cause in 4 steps:

• Map the drop-off: Funnel Analysis shows how many shoppers finish each step. Build a cart-to-confirmation funnel and find the weakest step.

• Find the problem field: Form Analysis shows which fields shoppers quit or retype. Sort that step's fields by drop or refill rate.

• Watch real sessions: Session Replay plays back real sessions. Filter to payment sessions with rage clicks or errors, then read the AI summary.

• Size the opportunity: Impact Quantification estimates the revenue each issue puts at stake, so you can rank fixes

For a faster start, ask Sense Analyst, our AI agent that investigates funnels, journeys, zone-based heatmaps, and replays for you. Try "Analyze my checkout funnel and show me where users are getting stuck and why."

You'll get ranked issues, their revenue impact, and what to fix first.

US telecom provider Optimum used Sense Analyst to cut analysis time from 2-3 hours to minutes per insight. It also reported a +7.8% increase in shopper-to-order conversion rate at that step of the funnel.

Contentsquare also connects to 115+ tools, including Optimizely, AB Tasty, and Dynamic Yield, so insights reach the tools you already use.

2. Stripe

Stripe is a payments platform. Its Optimized Checkout Suite uses AI to pick which payment methods each shopper sees, and in what order.

Adaptive Acceptance, now part of Authorization Boost, uses machine learning to retry false declines (good payments wrongly rejected). Radar uses machine learning to score payments for fraud risk.

3. Adyen

Adyen is a payments platform, and Adyen Uplift is its AI-driven optimization suite. It connects fraud, authentication, routing, tokenization, and checkout decisions in one system.

Adyen reports up to 6% higher payment conversion in a pilot with 60 enterprise businesses.

4. Checkout.com

Checkout.com is a payments platform. Its Intelligent Acceptance engine uses AI that learns from billions of transactions to raise acceptance rates, the share of payments that get approved.

Checkout.com reports an average uplift of 3.8 percentage points across its merchants.

5. Optimizely

Optimizely is an AI-assisted experimentation platform for a/b testing, where shoppers see different versions of a page. Its Optimizely Opal AI agents help teams manage experiments and analyze data.

At checkout, you can test a shorter form or new payment button order.

6. Shop Pay

Shop Pay is Shopify's accelerated checkout. This means shoppers check out faster with saved shipping and billing details.

Shopify says Shop Pay can deliver up to 50% higher conversion than guest checkout, based on a 2023 study by an external consulting firm.

7. Signifyd

Signifyd is a fraud protection platform. It uses real-time AI fraud detection to approve more good orders with fewer false declines.

If an approved order proves fraudulent, Signifyd covers the chargeback (the reversed payment) under its financial guarantee.

8. Granify

Granify, now part of Bazaarvoice, is an on-site messaging tool. Its machine learning analyzes hundreds of behavioral data points per second per shopper, then shows encouraging messages to undecided shoppers.

9. FBP

FBP is an upsell and bundle app for Shopify stores. An upsell offers a better version of an item, while a bundle increases AOV.

Rebuy uses AI to highlight 'frequently bought together' products to potential buyers.

10. Dynamic Yield

Dynamic Yield is an ecommerce personalization platform. It uses AI-driven recommendations, merchandising, and experimentation to tailor what each shopper sees.

At checkout, you can trigger exit-intent popups when a shopper starts to leave.

How to pick the best AI checkout optimization platform for your business

Choosing is hard because each tool solves a different part of checkout. These 7 criteria narrow your shortlist.

1. Start with where shoppers drop off: your funnel shows what kind of tool you need. Payment exits call for a payments tool, while shipping exits likely mean a UX problem.

2. Match the tool to the type of friction: declines and fraud flags need a payments tool. Confusing forms and page errors need behavior analytics first, then a tested fix.

3. Check how it fits your ecommerce platform: some tools only run on certain platforms. FBP and Shop Pay, for example, are built for Shopify.

4. Look for revenue impact reporting: conversion rate alone can hide the real story. A small drop on a high-value step may cost more than a big drop elsewhere. In Contentsquare, Impact Quantification ties each checkout issue to the conversions and revenue it costs. Compare your top issues, then fix the costliest first.

5. Confirm a/b testing support: a fix you can't test is still a guess. Check whether the tool runs a/b tests itself or connects to your testing platform.

6. Review data privacy and compliance: checkout handles card and personal data. Ask each vendor how it stores, masks, and processes it.

7. Compare pricing models: vendors may take a share of transactions or charge by usage tier. Model the cost at today's traffic and your growth target. The right mix depends on your stack, team size, and goals.

Pair behavioral data with your checkout tools to recover lost revenue

Payments and upsell tools change checkout, but they can't explain why shoppers leave. Behavioral data fills that gap with this 4-step loop.

1. Map the checkout journey

Starting at the exit shows which paths end in lost sales. In Contentsquare, Journey Analysis maps the routes shoppers take.

Open its Reverse Journey view and pick your checkout exit page to see the steps shoppers took before leaving.

2. Find the friction behind each drop-off

Knowing where shoppers leave only tells half the story. Contentsquare Heatmaps color-code your payment page by where shoppers click, scroll, and rage click.

Zone-based heatmaps split the page into areas, so you can spot ignored sections.

3. Test the fix

A test proves a fix works before every shopper sees it. Write a hypothesis, your best guess at the cause, like 'shoppers miss the promo code field.'

Then test a change. Contentsquare integrates with a/b testing tools like Optimizely and AB Tasty, so you see how shoppers behave in each version.

4. Measure the revenue impact

A winning test only matters if it earns more. Zoning Analysis shows how shoppers use each area of a page.

Compare versions side by side to see which areas changed behavior. Then use Impact Quantification to compare the revenue each version brings in before you roll out the winner.

💡Pro tip: in our Benchmarks Report, repeat visitors converted at 2.9% versus 1.7% for new visitors. Split test results by new and returning shoppers so one group doesn't hide the other.

FAQs about AI checkout optimization platforms