How Rently stays one step ahead of ATO and scams
公司规模
1,000+
地区
- America
国家
- Canada
- United States
产品
- Rently’s self-showing technology
- Rently lock boxes
技术栈
- Sift Account Defense
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 应用基础设施与中间件 - API 集成与管理
适用功能
- 商业运营
用例
- 欺诈识别
服务
- 系统集成
关于客户
Rently is a company that believes that the process of finding and showing new homes should be easy for both renters and property managers. To achieve this, they have developed a self-showing technology that allows renters to view properties at their convenience – including after-hours and weekends – giving managers a competitive edge. Managers can feel safe showing properties without being present; prospective tenants receive a one-time use code to access the property, good for only one hour, and must check in upon arrival, notifying the manager. Rently lock boxes integrate with the self-showing technology to make showing and viewing homes easier than ever for prospective tenants and managers. More than 2500 accounts are created every day on Rently by users in the US and Canada. On average, about 60,000 accounts are created every month; Rently accounts are active for 30 days or 20 rental viewings.
挑战
Rently, a company that simplifies the process of finding and showing new homes for both renters and property managers, was facing a significant challenge with fraud. Fraudsters were using fake IDs and selfies found on the internet to bypass Rently’s identification verification process. The company also started experiencing account takeover (ATO); fraudsters were taking over property manager accounts to change property pricing and availability, and provide access to the unit to unauthorized individuals. Without automation, catching ATO in real time during manual reviews proved incredibly difficult. They had a rules-based system in place that was catching some fraud, but wasn’t able to keep up with fraudsters getting smarter and finding ways around those rules to get onto the platform. Rently needed a solution that could automate decisions and proactively detect fraud, rather than continue to react to fraud after an incident had occurred.
解决方案
Rently implemented Sift Account Defense, a solution that automates decisions and proactively detects fraud. They trained the model for two months before going into full production mode, and immediately started to see strong results. Rently combines automation with rules; the Sift Console makes it easy for the Fraud team to add and remove rules as needed, and they’re auto-blocking users based on a Sift Score (a risk score based on behavioral attributes), significantly reducing false positives and the amount of manual review that needs to be done. It takes a maximum of two minutes for a team member to review a flagged user, thanks to the ease of use of the console and the clear picture of each user provided by Sift Insights Drilldown Reports. The Fraud team also utilizes signals like IP address, email domains and the age of email addresses, and more to determine whether a user is legitimate or a fraudster.
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Largest Production Deployment of AI and IoT Applications
To increase efficiency, develop new services, and spread a digital culture across the organization, Enel is executing an enterprise-wide digitalization strategy. Central to achieving the Fortune 100 company’s goals is the large-scale deployment of the C3 AI Suite and applications. Enel operates the world’s largest enterprise IoT system with 20 million smart meters across Italy and Spain.
Case Study
KeyBank's Digital Transformation with Confluent's Data in Motion
KeyBank, one of the nation's largest bank-based financial services companies, embarked on a national digital bank initiative following the acquisition of Laurel Road, a digital consumer lending business. The initiative aimed to build a digital bank focused on healthcare professionals looking to refinance student loans and buy homes. A significant challenge was reducing the time to market for new products by democratizing data and decoupling systems across the IT landscape. Like many large enterprises, KeyBank had a variety of vendor applications, custom applications, and other systems that were tightly coupled to one another. New projects often required developing specific point-to-point integrations for exchanging data, which did not address the needs of other downstream systems that could benefit from the same data.
Case Study
Bank BRI: Revolutionizing Financial Inclusion in Asia with Digital Banking
Bank Rakyat Indonesia (Bank BRI), one of the largest banks in Indonesia, was faced with the challenge of increasing financial inclusion among unbanked Indonesians. The bank had an ambitious target of having 84 percent of Indonesians participating in the banking system by 2022. However, the bank's legacy technologies were proving to be a hindrance in achieving this goal. Each of the bank's products had their own public APIs, which were difficult to manage, secure, and monetize. Additionally, the process of onboarding new partners using host-to-host and VPN technology was time-consuming, taking up to six months. The bank also faced the challenge of reaching a largely rural population, with an estimated $8.3 billion in currency being held outside the banking system.
Case Study
Neobank Transformation: Enhancing Compliance and Security
The client, a leading specialist digital challenger bank based in the UK, was faced with the challenge of redesigning and rebuilding their mobile banking application. The goal was to provide a more convenient way for their customers, primarily small businesses, entrepreneurs, and consumers, to interact with their platform. Additionally, they needed to implement Open Banking, a mandatory requirement from the UK financial institution. Prior to this, the client had outsourced the development of its mobile app to other vendors. However, they needed a strong team that would take over the development completely and implement new features to improve the functionality for both the client and its customers.
Case Study
Increasing Efficiency Through Automation and Modernization for Boohoo Group
Boohoo Group, a leading British online fashion retailer, faced significant challenges due to rapid growth and acquisition of other retailers. The company needed to modernize several internal systems used for warehouse management and tax calculation to maintain efficiency. The existing systems were causing data discrepancies and issues in product tracking. Additionally, a lot of data was stored in Excel files and had to be processed manually, which slowed down operations and increased expenses. The company aimed to automate these manual processes and modernize the existing solutions to boost their efficiency.
Case Study
Aerospike Achieves One Million Writes Per Second on Google Compute Engine with Just 50 Nodes
Aerospike, an open-source, flash-optimized, in-memory NoSQL database, was looking to push the boundaries of Google's speed on Google Compute Engine. The challenge was to meet high throughput, consistently low latency, and real-time processing, which are characteristic of future cloud applications. The team at Aerospike was inspired by Ivan Santa Maria Filho, Performance Engineering Lead at Google, who demonstrated 1 Million Writes Per Second with Cassandra on Google Compute Engine. The goal was to benchmark Aerospike's product performance on Google Compute Engine and see if it could scale with consistently low latency, require smaller clusters, and be simpler to operate.
