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E-commerce & retail

E-commerce fraud prevention that keeps checkout fast.

First-order discounts, referral codes and free trials win customers. The same people also claim them again and again, under new names.

E-commerce fraud statistics: fraud keeps growing.

More orders online means more fraud to stop, at checkout and at sign-up.

  1. E-commerce fraud

    $107 billion

    the expected cost of e-commerce fraud in 2029

    Up from $44.3 billion in 2024.

    Source: Juniper Research, October 2024

  2. Card fraud

    $33.8 billion

    lost to payment card fraud worldwide in 2023

    Across payment cards issued all over the world.

    Source: The Nilson Report, December 2024

E-commerce fraud at sign-up and checkout, and how Monnai stops it.

  1. The same shopper, back as someone new.

    Monnai

    See the links before the discount applies.

    Promo & bonus abuse
  2. Orders from people who never meant to pay.

    Monnai

    Read the phone, email and connection before you ship.

    Consumer Risk Intelligence
  3. Every extra check loses a sale.

    Monnai

    Check in the background. No documents, no SDK.

    How Monnai works

Get answers about e-commerce

How does e-commerce fraud prevention work without slowing checkout?

Check in the background, from what shoppers already give. Monnai reads the phone number, email and connection behind an order, with no documents and no SDK, and phone and email answers come back in a few hundred milliseconds. Shoppers see no extra step.

How do online retailers stop first-order discount abuse?

The same shopper comes back with a new email and a new account to claim the discount again. Email Intelligence flags a throwaway or brand-new address, and Network Intelligence shows a number or address already tied to other identities, so you see the links before the discount applies.

How can retailers spot fraud on cash-on-delivery and pay-later orders?

Read the phone, email and connection before you ship. Pay later and cash on delivery attract fake and borrowed identities, so Monnai flags a throwaway number or email and a VPN or data-center connection far from the address typed, each in plain words.

What about AI agents that shop for our customers?

Let the good ones in. Agent Pass checks the shopping agent first, then the real customer behind it, on every order: a known assistant reordering a customer’s usual purchase goes through, and a bot behind a made-up identity doesn’t.

Does Monnai work alongside our payment fraud tools?

Yes. Monnai adds identity signals to the checks you already run at sign-up and checkout; it doesn’t replace your payment or fraud tools. One API returns red flags, good signals and, if you want one number, a Risk Score your rules can act on.

Can we test Monnai on our past orders?

Yes. Send past sign-ups or orders, with a phone number and an email for each, and mark the ones that turned out to be fraud or abuse if you want the uplift measured. We score them offline, and your full report comes back within 5 business days.

Let us prove it. Test us on your data.

Send past applications or transactions. We score them and send back a full report: every score with its reasons, and the uplift for your portfolio.

5 business days to your full report. We commit to it.