A good number of companies in the large retail chain receive thousands of invoices each month from their suppliers. It would take hundreds of hours to manually extract the necessary data such as supplier name, invoice number, date, and amount, and enter it into their accounting system. This process is time-consuming, error-prone, and requires a significant amount of resources.
Our AI-powered data extraction platform can help you streamline this process and improve efficiency by using machine learning algorithms to automatically extract the necessary data from invoices and inputs it directly into the accounting system. Through our manual data entry experts, manual verifications can also be done to verify the accuracy of the extracted data against the original invoice to ensure that there are no errors.
The platform can also categorize invoices based on supplier or product, making it easy to track expenses and identify areas where cost savings can be achieved.
By using our AI-powered data extraction platform for invoice processing, companies can significantly reduce the amount of time and resources required to process documents, leading to better financial management and cost savings.
USE CASE 2
Many law firms or legal practitioners need to review and analyze a large number of legal documents, including emails, contracts, and correspondence on a daily or monthly basis.
However, one of the main concerns in this field is the maintenance of the privacy of the parties involved in these documentation. There is a huge need to ensure that sensitive information, such as personal identification details, bank account numbers, and other confidential data, is protected from unauthorized access or accidental exposure.
To solve this problem, our AI-powered platform helps you with data anonymization in legal document management. By using machine learning algorithms, the platform can identify and redact any sensitive information in the documents, such as names, addresses, and other identifying details.
By using our AI-powered platform for anonymization in legal document management, legal practitioners can protect the privacy of the parties involved in the case, while still being able to access and analyze the legal documents necessary to build a strong case.