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Phone number validation has become essential for businesses to combat fraud and ensure identity verification. As more companies rely on SaaS platforms for handling e-commerce transactions and sensitive data, robust validation is critical. ESPY’s Real_Phone service provides a highly accurate method for verifying phone numbers. It collects names from various sources and uses AI-based analysis to match them with the correct phone number. The result? A more precise and fraud-resistant approach to validation.
ESPY’s Phone Validation Process
Step 1: Data Collection from Multiple Sources
ESPY’s phone validation process starts by gathering names associated with a phone number. The system, IRBIS, pulls this data from over 12 sources. These sources range from mobile apps to social networks and other online platforms. This wide net ensures that ESPY collects a rich data set tied to the phone number.
Step 2: AI-Powered Name Comparison
After gathering the names, ESPY uses an AI-powered microservice to compare them. The AI checks for similarities across languages, allowing it to recognize nicknames and shortened versions of names. For instance, it can easily link “Sasha” as a nickname for “Alexander,” even if different sources provide these names. The AI looks for these matches, even when there are variations.
Step 3: Scoring the Match Between Name and Number
Once the AI compares the names, it produces a validity score. This score tells how closely the names match across different platforms. If the names are highly similar, the phone number is considered reliable. This score allows companies to quickly assess how trustworthy the name-number connection is. The higher the score, the more accurate the validation.
What Makes ESPY’s Method Unique?
Precision through Data Enrichment
ESPY’s method is highly accurate because of its focus on data enrichment. It pulls data from multiple sources, analyzing it with AI to create a clearer picture. Traditional methods often rely on just one or two data points. ESPY, however, gathers information from a dozen sources. This means its phone intelligence is more thorough, making it harder for fraudsters to slip through.
Multi-Language and Cross-Cultural Name Matching
One standout feature of ESPY’s system is its ability to work across languages. Many validation systems fail when names are written in different scripts or cultural variations. ESPY handles this challenge smoothly. It recognizes names written in different languages, ensuring a higher match rate. For global businesses, this feature is especially important.
Real-Time Validation and Anti-Fraud Measures
ESPY’s Real_Phone service works in real-time. This means businesses get instant results when they submit a phone number. Fast results are crucial for e-commerce platforms and other businesses handling sensitive transactions. The ability to stop fraud in its tracks is a huge advantage. By validating the phone number quickly and accurately, ESPY reduces fraud risk and protects businesses.
Real-World Applications of ESPY’s Phone Validation
E-Commerce and Sensitive Transactions
Many e-commerce platforms deal with high-value transactions or sensitive customer information. These platforms need to ensure the people using their services are real. ESPY’s phone validation method provides an extra layer of security. Once integrated, it helps prevent fraud by ensuring that phone numbers match the person’s real identity.
KYC and AML Compliance
For companies needing to meet KYC (Know Your Customer) and AML (Anti-Money Laundering) regulations, ESPY’s method is a great fit. These companies must verify their customers’ identities to stay compliant. ESPY’s system provides a quick and accurate way to do this. The AI-driven validation meets regulatory requirements without slowing down the business.
Enhanced Customer Experience
Customers want quick and secure onboarding processes. ESPY helps provide this by reducing false positives and ensuring smooth user verification. By using ESPY’s method, businesses can offer a better customer experience. They also build trust with their users, knowing that phone numbers are properly validated.
Seamless API Integration and Scalability
Easy API Integration for Businesses
ESPY’s Real_Phone service is designed to be easy to integrate. Its API allows businesses to quickly add the service to their existing systems. Once integrated, the phone validation process works automatically in the background. The API documentation makes the integration process straightforward, so developers don’t need to spend too much time on it.
Scalable for Growing Businesses
As a business grows, so do its validation needs. ESPY’s system is built to scale. It can handle large volumes of phone numbers without losing accuracy. This makes it perfect for SaaS companies with expanding user bases. Whether you’re validating hundreds or thousands of numbers, ESPY’s system can handle it.
Final Thoughts
ESPY’s Real_Phone validation method stands out for its precision and efficiency. By gathering names from over a dozen sources and using AI to compare them, the system ensures the phone number is properly verified. It also works across languages and cultures, making it ideal for global businesses. With its real-time capabilities, ESPY’s method provides a powerful tool for fighting fraud and ensuring customer trust.
This advanced approach to phone number validation delivers reliable results, which businesses can use to protect themselves from fraudulent activity while enhancing the user experience.