Case StudyTiny Library · Amsterdam, NL

How Tiny Library gained full fraud visibility and reduced operational overhead with Guzco

1000+
Orders screened/month
3
Integrations
Risk-scoring
Favourite feature
About

Tiny Library is a Dutch rental platform for premium baby products. Families access high-end gear like Bugaboo strollers, Stokke high chairs, and Moonboon cradles through monthly subscriptions instead of buying outright.

The subscription model is sustainable and affordable for customers — but it also attracts a specific type of fraud.

ShopifyFirmhouseGorgias
The Challenge

Tiny Library ships products worth €1,000+ based on monthly payment agreements. Most customers pay reliably — but some see the model as an opportunity: sign up, receive the product, make one or two payments, then disappear.

Some people were even ordering multiple times under a different name. The team had no fraud prevention in place, no way to spot repeat offenders, and no visibility into how much fraud was actually costing them.

"
"Guzco feels like having an in-house fraud team. We didn't realize how much we were losing until we could actually see it."
T
Tiemen Roest
Product Manager, Tiny Library
"We went from zero insight to full visibility. Now we can see patterns and act on them before we ship."
T
Tiemen Roest
Product Manager, Tiny Library
The Solution

Tiny Library partnered with Guzco to screen orders before shipment and gain full visibility into fraud patterns. Integration with their existing stack took minutes.

Every order now passes through Guzco's risk assessment, checking customer history across Guzco's merchant network and flagging suspicious patterns before anything ships.

The checks are designed so that most customers don't even know they're being screened — keeping the experience frictionless for legitimate buyers while catching bad actors.

High-risk orders are paused for manual review. Everything else ships without delay.

Results
Before
No fraud prevention in place
No visibility into repeat offenders
Customers ordering multiple times under different names
Unknown cost of fraud
After
1,000+ orders screened automatically per month
Full visibility into fraud patterns
Repeat offenders flagged across merchant network
Zero gut-feel decisions on suspicious orders
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