2023
Logotipo do NatWest

Como o NatWest Bank personaliza a experiência do cliente usando a AWS

O NatWest Group é um dos maiores bancos do Reino Unido. Formalmente estabelecida em 1968, a empresa tem origens que remontam a 1727. O NatWest Group busca usar seus abundantes dados herdados para inovar e personalizar seus serviços bancários e de seguros pessoais, comerciais e corporativos. Zackary Anderson, diretor de dados e análises, discutiu o uso do machine learning e das análises de dados pela empresa de forma a engajar e personalizar mensagens para a sua grande base de 20 milhões de clientes. O NatWest Group implantou com sucesso quase 100 modelos de machine learning usando o Amazon SageMaker, com a meta de ter milhares nos próximos dois anos. O impacto de sua abordagem com mensagens personalizadas foi significativo, incluindo a economia de quase meio milhão de libras em seis meses nas taxas de caixa eletrônico para clientes em bairros mais pobres, a redução no número de fraudes e aumento do bem-estar geral dos clientes.

Serviços da AWS usados

Amazon SageMaker

O Amazon SageMaker foi desenvolvido com base nas duas décadas de experiência da Amazon no desenvolvimento de aplicações de ML para o mundo real, incluindo recomendações de produtos, personalização, compras inteligentes, robótica e dispositivos assistidos por voz.

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Mais histórias de clientes da área de serviços financeiros

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  • Chile

    Capital Express Reduces Monthly Operating Costs by 94% with NetRed and AWS

    Factoring services company Capital Express wanted to improve client evaluations and grow its business, but it had an outdated system that made accessing data difficult. The company teamed up with AWS Partner NetRed to migrate its data using capabilities from Amazon Web Services (AWS). Migrating helped Capital Express create Advance, an innovative financial management tool that offers real-time data processing. Implementing Advance cut monthly operating costs by 94 percent. It also reduced the time needed for client enrollment and IT consultations to just five minutes. These improvements streamlined operations and enabled faster service delivery, dramatically increasing the growth potential of Capital Express and helping it meet customer needs faster.

    2025
  • United States

    Transforming Payments with AWS and Visa Cloud Connect

    Moov, a payment processor with direct connections to major card networks and payment systems, ensures scalability and availability for high-demand scenarios, from political campaigns to exclusive product drops. With AWS as the backbone, Moov’s solutions connect seamlessly, enabling faster and more scalable money movement across its network. Thanks to AWS Partner Visa and Visa Cloud Connect on AWS, Moov eliminated the need for traditional data centers and infrastructure, streamlining access to payment networks. This innovation delivers immediate transaction insights to customers already on AWS, enhancing the end-user experience and redefining payment processing.

    2025
  • United Kingdom

    Mortgage Advice Bureau and BJSS Accelerate Complaints Process Using AWS

    Mortgage Advice Bureau (MAB) is an established, multi-award winning, UK mortgage intermediary that provides advice, both through its own branded brokers and through other brokers. It processes about 12,000 mortgages a month and receives around 400 complaints per year. Those complaints, however, are a serious matter, because MAB is regulated by the UK’s Financial Conduct Authority (FCA), whose Financial Ombudsman is the last resort for disputes. MAB wanted to ensure that it could resolve complaints in a timely manner and before they were escalated to the Financial Ombudsman. It engaged AWS Partner BJSS to help build a solution using AI on Amazon Web Services (AWS) to speed up the processing of complaints, reducing initial response times by 75 percent.

    2025
  • Chile

    Breaking Barriers in FinTech: Generative AI Solutions Help Bolsa de Productos de Chile Optimizes Invoicing Processes

    Bolsa de Productos de Chile had to manually review up to 2,000 invoices per day, proving to be too much to handle which could also cause errors. They partnered up with AWS Partner Morris & Opazo and Amazon Web Services (AWS) to help implement an generative AI-powered solution called Puerto X Monitor to automate invoice validation and reduce operational risk. The results featured a reduced need for large teams of industry experts as well as improved risk management and help to validate over 1 million invoices to date.

    2025
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