E-commerce Fraud Detection | Stop Chargebacks Before They Ship | WebFootprint
Payment Integrations Ecommerce → Fraud Scoring

E-commerce Fraud Detection: Flag Order Fraud Before It Ships

Friendly fraud, stolen cards, and chargebacks quietly erase margin after you have already packed and posted. Manual review does not scale, and blanket declines punish the customers who would have paid.

We build automated fraud scoring that holds suspicious orders before fulfilment.

A glass ORDERS risk panel and a crimson FRAUD / RISK badge linked by flagged order documents on a light ribbon over a charcoal reflective floor
R4.61
true cost for every R1 lost to fraud (fees, review, overhead)
~3%
of ecommerce revenue merchants report losing to payment fraud yearly
~R2,370
average admin and third-party cost per chargeback, before lost stock
85.6%
of SA credit-card gross fraud losses tied to card-not-present payments
The Problem

Sound Familiar?

These are the exact issues our ecommerce clients faced before automated fraud detection:

  • Chargebacks land weeks after fulfilment: you lose the goods, the shipping cost, and the processor fee
  • Friendly fraud ("item not received", "unauthorised") arrives from real cardholders who never contacted support
  • Stolen-card orders clear payment, then reverse once the true cardholder disputes
  • Blanket blocks on provinces, IPs, or new customers kill conversion and waste paid acquisition spend
  • Ops reviews high-value orders by gut feel in a spreadsheet while the pick wave waits

Card-not-present fraud dominates South African credit-card losses, and MEA chargeback volumes are projected to rise fastest globally through 2028. Waiting until disputes arrive is already too late: the box has left the warehouse.

How It Works

What Chargeback Prevention Looks Like in Practice

Order pays → risk score runs → hold or release → only clean baskets reach pick.

1

Order Paid

Shopify or WooCommerce confirms payment from PayFast, Peach, Yoco, Stripe, or Ozow

2

Fraud Score Runs

Rules and gateway signals score shipping mismatch, velocity, AVS/CVV, and 3DS outcome

3

Hold or Release

Low risk ships. High risk pauses fulfilment and lands in a review queue with reasons

4

Margin Protected

Fraudulent baskets never leave the dock. Good customers keep a fast path to delivery

What We Build

Everything You Need for Reliable Order Fraud Controls

Automated Fraud Scoring

Every paid order gets a risk score from rules and signals before fulfilment releases it to pick.

Payment Gateway Signals

AVS/CVV results, 3-D Secure outcome, velocity, and issuer responses feed the score alongside storefront data.

Hold & Release Workflows

High-risk orders pause fulfilment automatically. Reviewers release, cancel, or request verification from one queue.

Storefront Status Sync

Shopify and WooCommerce order tags and fulfilment holds update in real time so warehouse and support stay aligned.

False-Positive Tuning

Rules and thresholds are tuned so good customers clear automatically while suspicious baskets stay on hold.

Chargeback Evidence Pack

Risk signals, delivery proof links, and review notes assemble into a dispute-ready trail when a chargeback still lands.

Platforms We've Wired for Fraud Scoring

ShopifyWooCommercePayFastPeach PaymentsYocoStripeOzowCustom OMS
Client Story

From R48K/Month Chargebacks to a Controlled Hold Queue

How a Cape Town Shopify fashion brand cut chargebacks 68% and recovered R412K in year-one margin without choking conversion.

Before

The Manual Process

  • Ops skimmed high-value orders in a spreadsheet after payment cleared
  • Stolen-card and friendly-fraud orders often shipped before anyone flagged them
  • Province and new-customer blanket blocks frustrated legitimate buyers
  • Chargebacks arrived with no organised evidence pack for representment
  • Finance treated dispute fees as an unavoidable cost of selling online
R48K/month lost to chargebacks and fees
After

The Automated Process

  • Every paid order scores against rules plus PayFast and 3DS signals
  • High-risk baskets hold fulfilment; low-risk baskets release to pick automatically
  • Review queue shows shipping mismatch, velocity, and AVS/CVV reasons in one place
  • Good customers keep a fast path; only the grey band needs a human look
  • Dispute packs assemble risk notes and delivery proof when a chargeback still lands
R15K/month residual chargeback exposure
68% fewer chargebacks
R412K margin recovered (year 1)
4% of orders held for review
11 weeks to full ROI
The Difference

Before vs After Fraud Detection

Before
After
Suspicious order handling
Spreadsheet gut-check after payment
Scored hold before pick
Chargeback exposure
Goods + fees already gone
Most fraud stopped pre-ship
Good-customer friction
Province/IP blanket blocks
Auto-release for low risk
Review time
8+ hrs/week hunting outliers
Focused queue (~4% of orders)
Dispute readiness
Scattered screenshots
Assembled evidence pack
Monthly fraud bleed
~R48K (case study)
~R15K residual
Getting Started

How It Works

From first conversation to live fraud scoring in 3–5 weeks.

01

Map Your Fraud Leak

Chargeback history, gateway setup, review process today, and which order patterns cost you the most.

02

Free Scoping Call

30-minute call to design scoring rules, hold thresholds, release SLAs, and gateway signal sources.

03

Build & Test

We build the scoring and hold workflow, shadow-score live orders for a week, then tune false positives.

04

Go Live & Monitor

Suspicious orders stop before they ship. Dashboards track hold rate, chargebacks, and approval speed.

Questions

Frequently Asked Questions

How long does ecommerce fraud detection take to set up?

A standard Shopify or WooCommerce fraud scoring build with gateway signals and hold/release queues takes 3–5 weeks from scoping to go-live. A focused rules engine on one storefront can be live in about two weeks. Multi-gateway, multi-channel setups with dispute evidence packs take closer to 5–7 weeks.

Will fraud scoring block good customers and hurt conversion?

That is the risk of blunt filters, and we design against it. Low-risk orders auto-release. Only the grey band goes to a human hold queue. We measure false-positive rate beside chargeback rate so conversion does not quietly bleed while fraud looks "fixed".

Which platforms and gateways can you connect?

We have connected Shopify, WooCommerce, PayFast, Peach Payments, Yoco, Stripe, Ozow, and custom order management systems. If your gateway exposes AVS, CVV, 3-D Secure, or risk metadata, and your storefront can hold fulfilment, we can wire the flow.

How is this different from the gateway's built-in fraud tools?

Gateway tools score the payment. We score the order for pre-ship decisions: shipping mismatch, velocity across SKUs, new-customer patterns, and warehouse hold/release before pick. Gateway signals still feed the model; the outcome is an ops workflow, not only a decline at checkout.

What happens when an order is held?

Fulfilment pauses automatically. Your team sees the risk reasons, contacts the customer if needed, then releases or cancels. Released orders re-enter the normal pick wave. Cancelled orders stop stock reservation and can trigger a refund path you already use.

How much does ecommerce fraud detection cost?

Order risk scoring with hold/release on a single storefront starts from around R35,000. Full gateway-signal scoring, multi-channel holds, and chargeback evidence packs typically range from R45,000 to R85,000. Merchants losing mid-five figures a month to chargebacks often see ROI inside 2–4 months.

Ready to protect margin?

Stop Shipping Orders That Will Come Back as Chargebacks

If finance is still absorbing dispute fees and lost stock as a cost of selling online, you are paying for a problem that automated fraud scoring already solves.

Tell us which storefront and gateway you run, what your chargeback rate looks like, and how orders release to fulfilment today. We will show you exactly how hold-and-release scoring would work for your catalogue.

Chat with us