Yofi
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About
Yofi is an AI-driven platform designed to combat the multi-billion dollar problem of return abuse and fraud in the e-commerce sector. Recently acquired by NoFraud, the tool focuses on identifying digital "trash" — such as bots, serial returners, and resellers — that skews customer data and drains retailer resources. By distinguishing between bad actors and high-value loyalists, the platform allows businesses to maintain customer-friendly policies for legitimate shoppers without suffering the financial losses associated with coordinated abuse networks. The tool operates by analyzing "digital body language" through advanced telemetry data and signals. It tracks every customer touchpoint to detect patterns that indicate suspicious behavior, such as label manipulation, return fraud, or bot-like purchasing speeds. Yofi's machine learning models can identify clusters of bad actors, helping merchants prevent organized abuse before it impacts the bottom line. It integrates into existing tech stacks with over 25 prebuilt integrations, allowing it to clean CRM and CDP platforms of fake profiles and skewed data in real-time. Yofi is primarily built for e-commerce brands, marketplaces, and industries like fashion, electronics, and collectibles where high-value inventory is frequently targeted by resellers and fraudsters. Marketing and operations teams benefit from the tool's ability to provide a clean dataset, which in turn leads to more accurate customer segmentation and more effective email marketing campaigns. By filtering out non-human and malicious traffic, businesses can ensure their footwear drops, limited editions, and promotional codes reach real customers rather than automated bots. What distinguishes Yofi from traditional fraud prevention tools is its holistic approach to policy abuse rather than just credit card fraud. While many systems focus on payment security, Yofi looks at behavioral intent across the entire customer lifecycle, including return patterns and promotional usage. This allows retailers to nurture relationships with high-lifetime-value customers by removing friction for them while simultaneously applying strict barriers to those identified as serial abusers or resellers.
Pros & Cons
Reduces manual review hours through real-time AI risk scoring.
Supports over 25 prebuilt integrations for easy plug-and-play setup.
Maintains SOC 2 Type II compliance to ensure high-standard data security.
Identifies coordinated abuse networks by detecting clusters of bad actors.
Cleans skewed CRM datasets to provide more accurate marketing segmentation.
Pricing details are not publicly listed and require a direct demo request.
The specific names of all 25+ integrations are not visible without a demo.
Full access to the platform's features is restricted to enterprise-level inquiries.
Use Cases
E-commerce marketing managers can increase campaign revenue by removing fake profiles and targeting real, high-LTV customers.
Operations teams at fashion brands can automate the detection of serial returners and label manipulation to reduce losses.
Retailers hosting limited product drops can prevent bot-driven buyouts to ensure inventory reaches authentic customers.
Data analysts can clean their company’s CRM and CDP data of skewed bot metrics to provide more accurate business intelligence.
Platform
Task
Features
• customer segment recommendations
• 25+ prebuilt integrations
• return fraud monitoring
• bot & reseller prevention
• crm & cdp data cleaning
• real-time ai risk scoring
• bad actor cluster detection
• digital body language analysis
FAQs
Can Yofi prevent bot activity during high-demand product drops?
Yes, Yofi is specifically designed to stop bots from buying out limited-availability items like sneakers or collectibles. It identifies automated behavior in real-time to ensure inventory reaches legitimate human customers instead of resellers.
How does Yofi improve marketing campaign performance?
The tool cleans CRM and CDP platforms of fake profiles and bot-skewed data. This allows marketing teams to target high-LTV customer segments more accurately, leading to higher order rates and improved email campaign revenue.
Does the platform require complex custom coding to implement?
No, Yofi features a plug-and-play integration model with over 25 prebuilt connectors for common e-commerce environments. This allows businesses to start monitoring for fraud and abuse without extensive manual setup or developer overhead.
What specific behaviors does the AI analyze to detect fraud?
The platform monitors digital body language through telemetry data, tracking customer touchpoints and return behaviors. It specifically looks for patterns like label manipulation, serial returning, and coordinated bad actor clusters to identify risk.
Pricing Plans
Enterprise
Unknown Price• Bot & Reseller Prevention
• Return Fraud Protection
• Digital Body Language Analysis
• Bad Actor Cluster Detection
• CRM & CDP Data Cleaning
• 25+ Prebuilt Integrations
• Real-time AI Risk Scoring
• Customer Segment Recommendations
• SOC 2 Type II Compliance
Job Opportunities
Business Development Manager
Eliminate return abuse and bot-driven reselling with AI-powered telemetry and risk scoring to protect e-commerce profits and reward legitimate customers.
Experience Requirements:
Strong understanding of programming languages and software development methodologies
Other Requirements:
Passionate about technology and eager to learn new skills
Responsibilities:
Develop high-quality software design and architecture
Identify, prioritize, and execute tasks in the software development life cycle
Review and debug code
Collaborate with internal teams to produce software design and architecture
Assist in the preparation and production of releases of software components
Show more details
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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