Our client, a leading provider of process management services for the financial services industry, recognized a significant problem facing their clients: the expensive and time-consuming process of validating lien documents. These documents, which verify that a property has a lien on it for financing purposes, can be costly and difficult to manage in-house. Recognizing the need for an efficient solution, our client set out to create a streamlined process for validating these documents.
The Problem
Validating lien documents is an essential step in the financing process, but it can be complex and costly. In-house processes can be expensive, requiring significant resources to manage and verify documents. Our client saw that their customers needed a more efficient solution that would reduce costs and improve accuracy.
The Solution
LSC helped our client establish an integrated process that involved client systems and service agents to process tens of thousands of lien records a day. The process involved a series of automated checks, including data validation and lien perfection checks, to ensure that the lien documents were accurate and complete. These checks were performed in real-time, allowing our client to quickly identify and correct errors.
The process also involved a team of service agents who would manually review all documents that failed the automated checks. The process was designed to be scalable, allowing our client to handle large volumes of lien records with ease.
By establishing a streamlined, integrated process for validating lien documents, we helped revolutionize the way our client handles this essential task.
Our client is an online platform that provides information about local events happening across the United States.
The Problem
They needed a way to collect and label data specific to hundreds of thousands of events across the country. The platform’s existing process of manually extracting and aggregating data was both time-consuming and inefficient. As the number of events listed on the platform increased, the process became increasingly unmanageable, and our client risked losing customers due to the slow response times and inaccurate event data.
The Solution
To solve this problem, we established a process that complemented the existing technology-based solution with service agents for data extraction and aggregation. By leveraging human expertise and technology, we were able to quickly and accurately collect and label event data, providing customers with up-to-date and relevant information about events happening in their area.
Our client is a company that provides loyalty and rewards programs for customers across the globe.
The Problem
The company was facing a problem with its email support process, which was expensive and failing to provide timely responses to customers. The existing process was resulting in a high volume of escalations and customer complaints, causing a negative impact on the company’s reputation.
Our client needed a solution to improve its email support process and reduce the response time for customer inquiries. The existing process was not scalable, resulting in delays in response times and a lack of prioritization for high-priority inquiries. our client needed a solution that would streamline the support process, reduce response times, and improve the overall customer experience.
The Solution
To solve this problem, we created a tiered customer support process that prioritized inquiries and allowed for rapid escalation when necessary. We also built an off-shore team to improve response times and reduce costs, allowing our client to focus its internal resources on high-priority escalations. The tiered support process included features such as automatic categorization of inquiries and real-time monitoring to ensure timely response and resolution of issues.
Our client is a company that provides loyalty management solutions for merchants across India.
The Problem
The company faced a problem with the aggregation of near real-time data from merchants for loyalty card transactions of end-users. The existing process was slow and inefficient, resulting in delayed transaction processing and an increase in the workload for employees.
They needed a way to streamline the process of aggregating data from merchants for loyalty card transactions of end-users. The existing process was not scalable and was prone to delays and errors, making it difficult for our client to process transactions in a timely manner. Our client needed a solution that would automate the process of data aggregation, reduce errors, and improve the speed of transaction processing.
The Solution
To solve this problem, we built a highly scalable loyalty management platform to aggregate consumer and merchant data for real-time transactional processing. The platform used automation to extract data from merchants and convert it into a standardized format that was easy to analyze and process. The platform also included features such as fraud detection and real-time alerts, which helped our client to identify and address issues in near real-time.
Our client is a leader in the global travel data aggregation market.
The Problem
Our client provides data-driven marketing solutions for travel brands. It needed a way to streamline the process of reconciling reports from external service providers, which would reduce the time to collect receivables. The existing process was time-consuming and prone to errors, which led to delayed billing and collection of receivables. They needed a solution that would automate the process of extracting data from disparate third-party reports and standardize it for easy analysis and reconciliation.
The Solution
To solve this problem, we developed a process and platform for extracting data daily from thousands of disparate third-party reports and converting it into a standardized format that was easy to analyze and reconcile. The platform used automation to extract data from the reports, reducing the time and effort required for manual reconciliation. The standardized format also enabled our client to analyze the data more easily, providing insights into areas for improvement and optimization.
Our client is a company that specializes in collecting highly targeted dynamic data by monitoring the web in real-time.
The Problem
Our client needed to collect highly targeted dynamic data by monitoring the web in real-time. The existing data collection process was not efficient and resulted in inaccurate data, which affected the insights provided to their customers. Our client faced a challenge of building a process that would collect high-quality data with high accuracy at scale.
The Solution
To solve this problem, we developed a process that combined technology-based solutions with service agents to collect data with high accuracy. The process involved building hundreds of thousands of software agents that would monitor the web in real-time and collect high-quality data. The software agents were designed to extract data from multiple sources and in different formats, ensuring that the data collected was accurate and reliable.