下载PDF
Sift > 实例探究 > How Shippo balances positive experiences with unrivaled fraud protection
Sift Logo

How Shippo balances positive experiences with unrivaled fraud protection

技术
  • 分析与建模 - 机器学习
  • 应用基础设施与中间件 - API 集成与管理
适用行业
  • 电子商务
  • 零售
适用功能
  • 商业运营
  • 销售与市场营销
用例
  • 欺诈识别
服务
  • 软件设计与工程服务
挑战
Shippo, a B2B shipping API provider, was facing a significant challenge with fraud. The company's business model, which allows users to create multiple shipping labels before having to pay, made it a target for fraudsters. The majority of the fraud fell into two categories: users who sign up with a fake email address and use a stolen credit card number, and users who create labels, hit the threshold, and then create a new account to avoid paying their invoices. In both cases, Shippo lost money – either from chargebacks from the accounts with stolen credit card numbers or lost revenue from the unpaid invoices. The company needed a solution that could preemptively identify account abuse and prevent users with stolen credentials from purchasing.
关于客户
Shippo is a B2B shipping API that empowers businesses to ship orders through a global network of carriers. Founded in 2013, Shippo’s users include platforms, marketplaces, warehouses, and e-commerce businesses. Through Shippo, a business can easily print shipping labels and track orders. The company is focused on ensuring a positive business experience. In order to keep the flow as seamless as possible, Shippo doesn’t charge for individual shipping labels. Rather, every user is only invoiced after they exceed a certain order threshold. To sign up for Shippo, a user just needs to provide a credit card number – that won’t get charged until that first invoice is sent – and email address.
解决方案
Shippo turned to Sift to solve its fraud problem. The company was able to integrate with Sift in just a few hours, and the whole process was smooth and relatively effortless. Shippo began by sending Sift as much historical data as possible and relying on the machine learning technology to make sense of this dense information. Using Sift, Shippo could quickly separate out suspicious users from legitimate ones, and focus their energies on validating accounts and orders. Sift effectively caught fraudsters and was particularly valuable for identifying bad users at the account-creation stage. Shippo no longer had to wait until they saw a chargeback or a pile-up of invoices before spotting malicious users.
运营影响
  • With Sift in place, the Shippo team has seen a dramatic drop in the number of bad accounts and chargebacks.
  • Sift’s fraud prevention has been so accurate that Shippo has a 0% false positive rate on flagged orders.
  • With an effective fraud solution in place, Simon and the Shippo team have more time to focus on growing the business. Currently, there are zero employees dedicated to fraud prevention at Shippo. Instead, everyone works to add value and create an exceptional experience for their users.
数量效益
  • 0% false positive rate on flagged orders
  • 0 Full-time people dedicated to fraud

相关案例.

联系我们

欢迎与我们交流!

* Required
* Required
* Required
* Invalid email address
提交此表单,即表示您同意 IoT ONE 可以与您联系并分享洞察和营销信息。
不,谢谢,我不想收到来自 IoT ONE 的任何营销电子邮件。
提交

Thank you for your message!
We will contact you soon.