How Tiny Library gained full fraud visibility and
reduced operational overhead with Guzco
Orders screened/month.
Integrations (Shopify, Firmhouse, Gorgias)
Favourite feature.
About:
Tiny Library is a Dutch rental platform for premium baby products. Families can 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.
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. In situations like this it is key to keep the burden on well-intending customers as low as possible, while filtering out the customers that intentionally hurt revenue streams.
The team had no fraud prevention in place. No way to spot repeat offenders. No data on whether someone had done the same at another merchant. No visibility into how much fraud was actually costing them. In fact some people where even ordering multiple times under a different name.
"Guzco feels like having an in-house fraud team, we didn't realize how much we were losing until we could actually see it"
Tiemen Roest, Product manager at Tiny Library
The solution:
Tiny Library partnered with Guzco to screen orders before shipment and gain visibility into fraud patterns. Integration with their existing stack (Shopify, Firmhouse, Gorgias) took minutes.
Every order now passes through Guzco's risk assessment. The system checks customer history across Guzco's merchant network, flags suspicious patterns, and pauses high-risk orders for manual review before anything ships. The checks are designed in a way that most of the customers do not even know that they are being checked.
The results:
Tiny Library now screens 1,000+ orders per month automatically. They have full visibility into fraud patterns they couldn't see before: repeat offenders, suspicious addresses, behavioural red flags.
"We went from zero insight to full visibility. Now we can see patterns and act on them before we ship."
Beyond the data, the team gained operational peace of mind. No more gut-feel decisions on suspicious orders.
