02Our Fraud Detection Process
From Order Data Review to a Working Fraud Rules Engine
You see the scoring logic and decision rules before they touch a live order.
05Projects We've Built
Ecommerce Projects We Have Built
A selection of Shopify and ecommerce builds shipped for clients, the kind of stores where a fraud detection solution for ecommerce protects margin.
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LET'S DISCUSS
We had a different kind of problem. People were visiting the store, adding products to their carts, and then disappearing before they finished the order. We had tried a few apps and made changes here and there, but nothing really seemed to solve the bigger issue. The team went through the shopping experience with us and pointed out things we hadn't really noticed ourselves. They cleaned up the cart and checkout flow, made the mobile experience much smoother, and helped us make the store feel easier to shop. I’m not going to pretend we fixed everything overnight, but it finally feels like the store is helping the sale instead of getting in the way of it.
Ethan Parker
Founder of Elite Academy
The mobile experience is probably my favourite part of the new site. We had spent a lot of time making sure the desktop version looked right, and the team kept pushing us to think about how everything would actually feel on a phone too. They were right. The navigation is clean, the interactions feel natural, and everything we’ve tested so far works exactly as it should. They also went through the links, forms, integrations, and other details more than once before launch, which I really appreciated. And even after going live, we could still reach out when something came up. The whole process felt friendly, organised, and surprisingly straightforward.
James Whitmore
Head of Marketing of Lumen Outdoor
We had a pretty specific idea of what we wanted our website to become, but I wasn’t sure how easily we could explain all of it to a development team. There were quite a few moving parts, and we were working toward a deadline, so I expected a few things to get lost along the way. That never really happened. They understood what we were trying to achieve, kept us updated throughout the process, and got everything ready within the agreed timeline. The final site feels much easier to navigate, works beautifully on mobile, and is noticeably smoother for our customers. It was a huge relief seeing the original idea actually turn into the website we had in mind.
Michael Bennett
Founder & CEO of Northbridge Consulting
07Work Culture
Why Brands Trust Us With Fraud Detection
Piling on rules blocks good customers, so we keep detection lean and measured. These are the habits we bring to fraud detection software for ecommerce.
Lean rules, fewer false declines
We avoid the ruleset bloat that turns away real buyers.
Vendor scores plus your data
We combine outside fraud scores with your own history.
Three outcomes
Every order is approved, reviewed or declined with a reason.
Repeat abusers spotted
We catch patterns humans miss across orders.
Tested on history
We replay past orders before going live.
Clear scope
Complex builds are quoted after we review your data.
08Overview
How does ecommerce fraud detection work, and how much does custom development cost?
False declines are projected to cost merchants over $231 billion in 2026, and legacy rules-based systems make it worse through ruleset bloat, where each added rule restricts approvals further and increases false positives. We build scoring logic that weighs signals together rather than declining on a single match, and can blend a vendor's score with your own rules for repeat abusers or order patterns specific to your catalog. Starts from $2,999.
- Service
- Custom fraud detection development (rules engine, scoring, vendor blending)
- Starting price
- From $2,999
- Typical timeline
- 4-10 weeks depending on complexity
- Platform
- Any ecommerce platform or custom checkout
- Built with
- Custom scoring logic, vendor API integration, manual review routing
- Experience
- 10+ years and 250+ shipped projects
- Post-launch support
- Ongoing maintenance retainer or one-time handoff
- Communication
- Calls in US, UK, and AU business hours
Who it's for
Stores with high false decline rates
Good customers are getting rejected at checkout and it's costing you repeat business.
Stores with ruleset bloat
Your fraud rules have grown over time into a tangle that's declining more good orders than it should.
Stores wanting to blend a vendor score with custom rules
A vendor tool covers general fraud but misses patterns specific to your catalog or customer base.
Stores dealing with repeat abusers or friendly fraud
The same accounts or patterns keep triggering disputes and existing rules aren't catching them.
Stores deciding between a vendor tool and custom logic
You're weighing Signifyd, NoFraud, or Riskified against building your own detection logic.
Not a fit for
You want a standard setup with off-the-shelf tools and manual review, not custom scoring logic built from scratch. Our Ecommerce Fraud Prevention Services page covers that.
You're Shopify-specific and want the built-in fraud filter configured, not custom detection logic. Our Shopify Fraud Prevention Setup page covers that.
You need help disputing chargebacks that already happened, not detection at checkout. Our Chargeback Management Services page covers that.
09Pricing
Transparent Starting Prices for Ecommerce Fraud Detection
These are starting points in USD. Your final price depends on whether you're blending a third-party vendor's signals, and you get a fixed proposal after scoping.
11The Right Technology for Your Project
Technology Stack
We build ecommerce fraud detection software logic using rules engines, fraud scoring from vendors and pattern detection tied into your checkout.
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How does ecommerce fraud detection work?
Orders are scored on signals like billing/shipping mismatches, device and IP risk, and order velocity, then routed to approve, manual review, or decline based on that combined score.
How does a fraud rules engine decide to approve, review or decline an order?
Modern scoring weighs many signals together rather than declining on a single rule match, since legacy single-rule systems create ruleset bloat that increases false declines over time.
Custom fraud logic or a vendor like Signifyd: which is better?
It depends on your catalog and volume. A vendor tool covers general fraud well, custom logic pays off when you need rules specific to your products, customers, or abuse patterns.
How much does custom fraud detection cost?
Starts from $2,999, scaling up depending on how much custom scoring logic and vendor integration is involved.
Can I combine vendor scores with my own rules?
Yes, we can blend a vendor's fraud score with custom rules layered on top for patterns a general-purpose tool misses.
How do I reduce false declines?
We replace single-rule declines with scoring that weighs multiple signals together, since false declines are projected to cost merchants over $231 billion in 2026 and ruleset bloat makes that worse.
Can flagged orders go to a manual review queue?
Yes, borderline-risk orders route to a review queue instead of an automatic decline, so a human makes the final call before shipping.
How do you detect repeat abusers and friendly fraud?
We build pattern detection around repeat account behavior, device reuse, and dispute history, so accounts that keep triggering chargebacks get flagged before the next order ships.