Organizations often face challenges in managing their day-to-day tasks, which can be time-consuming and error-prone. Misplaced or missing documents, manual recruiting, and inaccurate data collection are some of the common problems that can affect an organization's efficiency and productivity. To address these challenges, Laiye, an automation company, offers various intelligent automation solutions.
These solutions are designed to automate enterprise-grade daily document processing, hiring and recruiting, and data collection and tracking. With Laiye's cutting-edge deep learning algorithms, organizations can streamline their processes, reduce errors, and save time and effort. In this case study, we will explore how Laiye's Intelligent Document Processing, RPA + IDP (Laiye Resume Matcher), and Automate Commander (Unattended bot) solutions can help organizations overcome these challenges.
This case study explores how Laiye's Intelligent Automation solutions can help organizations streamline their processes and increase productivity.
We will discuss three common organizational challenges, namely document management, recruiting, and data collection, and how Laiye's solutions can address them. By leveraging cutting-edge deep learning algorithms and Robotic Process Automation (RPA), Laiye's solutions enable organizations to automate daily document processing, match job candidates with job descriptions, and generate reports accurately and efficiently.
These solutions can help organizations reduce errors, save time, and increase efficiency.
Keeping your documents organised can be a hassle, misplacing and missing documents can happen, in fact, they probably already had. Human error is also a common occurrence, and so is getting documents stuck in queues as personnel responsible for it are busy with other tasks. Disorganised documents can delay the retrieval process, wasting a lot of your and your employees' time as well.
Intelligence Document Processing
The Intelligent Document Processing (IDP) is based on cutting-edge deep learning algorithms which provide document recognition, interpretation, classification, information extraction, verification, comparison, error correction, and other functions to achieve the automation of enterprise-grade daily document processing. There's no need to worry about your documents anymore.
Scenario : Another process that Laiye can help with is the hiring and recruiting process. Manual recruiting usually take a long time as the HR department has to filter and match potential candidates for the specific hiring position. Filtering hundreds of candidates profiles for the concurrent job position can be made easier with the help of Laiye's Intelligent Automation. Solution: RPA + IDP (Laiye Resume Matcher) Laiye's Robotic Process Automation (RPA) with Integrated Data Processing (IDP) can help construct the Resume Matcher. This automated filter will automatically extract key information from a job description and match it with those within the candidate's resumes. Information such as skillsets and experience, along with other more structured data points such as role and years of experience required, can be matched easily.
Scenario 3: Data collection and tracking can be demanding and troublesome, and the data collected can sometimes be inaccurate and faulty too. Combing through data for mistakes to make a report can be arduous and laborious, placing huge burdens on personnel. Solution: Automate Commander (Unattended bot) Laiye can create the full process and upload it into Automate Commander and set it up daily to automatically generate reports and consolidate key points from huge databases. Laiye's solution can help you avoid human error and make it in time for all your reports. How convenient!
Interested, click on the connection application: https://wa.link/frv0uo Writen by Hanani Bakari