Service Objects Address Validation vs. Ekata

Errors are present in one out of every five addresses, which can result in delays or failed deliveries of mail. Our address validation service in the United States expertly checks and rectifies addresses up to the ZIP+4 level, ensuring they are both valid and capable of being delivered. This proactive approach helps prevent expensive shipping and customer service challenges that may arise from incorrect addresses. Utilizing an advanced validation engine, we draw from various authoritative sources to achieve unmatched accuracy when validating and correcting US shipping and mailing addresses. Our extensive database comprises over 160 million USPS addresses alongside 15 million from non-postal sources. Notably, our engine surpasses the Coding Accuracy Support System (CASS) standards set by the USPS, demonstrating its reliability. The software is designed specifically to enhance addressing accuracy, thereby lowering the costs associated with undeliverable, lost, or returned mail. Additionally, Service Objects' Address Validation is an invaluable tool for ensuring the timely delivery of products or invoices while helping avoid the hefty address correction fees typically imposed by the USPS or third-party shipping providers. By integrating our service, businesses can significantly improve their mailing efficiency and enhance customer satisfaction.

Detecting and preventing the creation of fake user accounts is crucial in order to protect loyalty programs from those attempting to take advantage of them. Organizations can significantly improve their risk evaluation processes by cross-referencing customer data with trustworthy external sources. To combat payment fraud effectively, it is essential to make accurate risk judgments at every phase of the transaction, whether it be prior to, during, or following authorization. Simplifying the authorization process is key to reducing friction for customers as they make purchases. The Ekata Identity Engine employs sophisticated data science and machine learning methods to merge two distinct datasets: the Ekata Identity Graph and the Ekata Identity Network. These datasets emphasize critical identity features, converting them into actionable insights that enable businesses to conduct thorough risk assessments of their customers. By validating a larger volume of legitimate interactions, companies can broaden and sustain their customer base. Furthermore, identifying more fraudulent activities allows organizations to protect their financial assets more effectively. Swift risk evaluations facilitate the approval of additional legitimate transactions, thus ensuring the prevention of fraud while simultaneously embracing more reliable customers. This strategy not only enhances security protocols but also fosters improved customer satisfaction and loyalty over time, which can lead to long-lasting business success. The combination of advanced technology and thoughtful risk management creates a more secure and efficient transaction environment for everyone involved.