下载PDF
Insuring the Scalability of Faster Cash Application
技术
- 功能应用 - 企业资源规划系统 (ERP)
- 分析与建模 - 机器学习
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- 金融与保险
适用功能
- 商业运营
- 质量保证
服务
- 软件设计与工程服务
- 系统集成
挑战
Over the years, Zurich struggled with its Cash Application process due to two core challenges - a 100% manual end-to-end process and a decentralized processing system. Zurich took several initiatives to maintain control and improve the efficiency of the existing cash application process in the past, but continued to face multiple roadblocks. The Credit and A/R team struggled to manually process the bulk of electronic payments and receipts. They wanted to further reduce the time and resources spent on posting payments, minimize errors made during the cash application, match the payments faster and accurately while minimizing manual intervention. The delayed cash application process led to erroneous status reports for accounts/invoices. Even if the customer had paid for an invoice, they might wrongfully receive DNOC or dunning letters, resulting in a disparate status of accounts and dissatisfied customers. In order to resolve the errors in the system, the Credit and A/R team was frequently compelled to have multiple internal calls or meetings with brokers, underwriters, account executives, and Finance Operations managers. This led to further delay and dispute in the process.
关于客户
Zurich Insurance Group Ltd. is a Swiss insurance company, commonly known as Zurich, headquartered in Zürich, Switzerland. The company is Switzerland’s largest insurer. Zurich as a company shares risk expertise and insights with customers, communities, and stakeholders. The company has a significant presence in the global insurance market, providing a wide range of insurance products and services to individuals, small businesses, and large corporations. Zurich's operations span across various regions, and it is known for its strong financial stability and customer-centric approach. The company has been in operation for over a century and has built a reputation for reliability and innovation in the insurance industry.
解决方案
Zurich implemented a Cash Application Cloud solution provided by HighRadius, which leverages Artificial Intelligence and Optical Character Recognition (OCR) to automate the cash application process. The solution includes AI-enabled data capture for remittances and auto-linking of payments with open invoices, eliminating errors due to manual entry. The data aggregation engine aggregates remittance and payment information from various sources, such as EDI, customer portals, bank websites, Secure FTP, and emails, ensuring accurate data capture across all remittance file formats and languages. The AI-enabled OCR captures check remittance data automatically, removing any dependency on bank lockbox services or in-house resources for key-in, thereby reducing costs. This template-free technology captures all remittance details even when the check stub comes in a non-standardized or unfamiliar format. Additionally, the solution includes an intelligent pattern-matching and transformation rules engine that applies customer-specific rules for invoice matching, deduction identification and coding, and cash discount analysis. This automation frees up time for the Credit and A/R team, allowing them to focus on higher-value tasks and improving overall cash flows.
运营影响
数量效益
相关案例.
Case Study
Real-time In-vehicle Monitoring
The telematic solution provides this vital premium-adjusting information. The solution also helps detect and deter vehicle or trailer theft – as soon as a theft occurs, monitoring personnel can alert the appropriate authorities, providing an exact location.“With more and more insurance companies and major fleet operators interested in monitoring driver behaviour on the grounds of road safety, efficient logistics and costs, the market for this type of device and associated e-business services is growing rapidly within Italy and the rest of Europe,” says Franco.“The insurance companies are especially interested in the pay-per-use and pay-as-you-drive applications while other organisations employ the technology for road user charging.”“One million vehicles in Italy currently carry such devices and forecasts indicate that the European market will increase tenfold by 2014.However, for our technology to work effectively, we needed a highly reliable wireless data network to carry the information between the vehicles and monitoring stations.”
Case Study
Safety First with Folksam
The competitiveness of the car insurance market is driving UBI growth as a means for insurance companies to differentiate their customer propositions as well as improving operational efficiency. An insurance model - usage-based insurance ("UBI") - offers possibilities for insurers to do more efficient market segmentation and accurate risk assessment and pricing. Insurers require an IoT solution for the purpose of data collection and performance analysis
Case Study
Smooth Transition to Energy Savings
The building was equipped with four end-of-life Trane water cooled chillers, located in the basement. Johnson Controls installed four York water cooled centrifugal chillers with unit mounted variable speed drives and a total installed cooling capacity of 6,8 MW. Each chiller has a capacity of 1,6 MW (variable to 1.9MW depending upon condenser water temperatures). Johnson Controls needed to design the equipment in such way that it would fit the dimensional constraints of the existing plant area and plant access route but also the specific performance requirements of the client. Morgan Stanley required the chiller plant to match the building load profile, turn down to match the low load requirement when needed and provide an improvement in the Energy Efficiency Ratio across the entire operating range. Other requirements were a reduction in the chiller noise level to improve the working environment in the plant room and a wide operating envelope coupled with intelligent controls to allow possible variation in both flow rate and temperature. The latter was needed to leverage increased capacity from a reduced number of machines during the different installation phases and allow future enhancement to a variable primary flow system.
Case Study
Automated Pallet Labeling Solution for SPR Packaging
SPR Packaging, an American supplier of packaging solutions, was in search of an automated pallet labeling solution that could meet their immediate and future needs. They aimed to equip their lines with automatic printer applicators, but also required a solution that could interface with their accounting software. The challenge was to find a system that could read a 2D code on pallets at the stretch wrapper, track the pallet, and flag any pallets with unread barcodes for inspection. The pallets could be single or double stacked, and the system needed to be able to differentiate between the two. SPR Packaging sought a system integrator with extensive experience in advanced printing and tracking solutions to provide a complete traceability system.
Case Study
Transforming insurance pricing while improving driver safety
The Internet of Things (IoT) is revolutionizing the car insurance industry on a scale not seen since the introduction of the car itself. For decades, premiums have been calculated using proxy-based risk assessment models and historical data. Today, a growing number of innovative companies such as Quebec-based Industrielle Alliance are moving to usage-based insurance (UBI) models, driven by the advancement of telematics technologies and smart tracking devices.
Case Study
MasterCard Improves Customer Experience Through Self-Service Data Prep
Derek Madison, Leader of Business Financial Support at MasterCard, oversees the validation of transactions and cash between two systems, whether they’re MasterCard owned or not. He was charged with identifying new ways to increase efficiency and improve MasterCard processes. At the outset, the 13-person team had to manually reconcile system interfaces using reports that resided on the company’s mainframe. Their first order of business each day was to print 20-30 individual, multi-page reports. Using a ruler to keep their place within each report, they would then hand-key the relevant data, line by line, into Excel for validation. “We’re talking about a task that took 40-80 hours each week,” recalls Madison, “As a growing company with rapidly expanding product offerings, we had to find a better way to prepare this data for analysis.”