{"id":12311,"date":"2023-09-27T05:42:49","date_gmt":"2023-09-27T05:42:49","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=12311"},"modified":"2023-09-27T05:42:50","modified_gmt":"2023-09-27T05:42:50","slug":"customer-service-in-banking","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/in\/blog\/customer-service-in-banking\/","title":{"rendered":"Customers Will Switch Banks Due to Poor Service \u2014 Here\u2019s How AI Can Help"},"content":{"rendered":"\n

In an uncertain economy, banking customers want clear guidance and familiarity from their financial institution \u2014 and they\u2019re not afraid to move their money if they\u2019re not satisfied. Improved customer service in banking should be your focus, as people have grown to expect easy digital services and personalised support from their bank. AI can help you meet those expectations \u2013 anytime, anywhere, and on customers\u2019 preferred channels. <\/p>\n\n\n\n

In the last year, we found that 25% of customers switched banks<\/a>, and 39% of those who switched did so due to poor customer service. Customers want to feel like their needs come first, and banks that can deliver will come out on top. <\/p>\n\n\n\n

How can banks offer a more personal touch<\/a>? This is where AI can help. While you already may use predictive AI in customer churn prediction, ticket routing, credit scoring, and fraud detection, generative AI can help create new content that greatly improves customer service experiences. <\/p>\n\n\n\n

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Service trends in financial services<\/h2>\n\t\t\t\t\t\t\t

Find out how financial service professionals around the world are responding to macro trends such as the shift to automation and omni-channel experience.<\/p>\n\t\t\t\n\t\t\t\n\t\t\t\t\t\t\t

\n\t\t\t\t\tCheck it out<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t
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Banking use cases for generative AI<\/h2>\n\n\n\n

You can prompt generative AI to help create emails, service replies in chat, and knowledge articles that make it easier to offer more relevant and personalised service. The technology understands natural language, so customers can use their own words and language to communicate with chatbots that sound human. <\/p>\n\n\n\n

Because generative AI can read and understand text, video, and sound, it can identify and summarise action items and insights from conversations, transcripts, and recordings to assist contact centre agents.<\/p>\n\n\n\n

Generative AI can help you improve and grow your customer service<\/a> experiences, from no-touch interactions like self-service help with chatbots to high-touch situations like working through complex issues in a branch visit. <\/p>\n\n\n\n

When using this technology, your top priority should be better serving your customers\u2019 needs in order to meet your fiduciary responsibility. Last month, for example, the Securities and Exchange Commission (SEC) in the United States proposed updating rules and regulations<\/a> requiring wealth management firms to supervise AI technology, such as automated replies produced by generative AI. Future proposed regulations could lie ahead for all of financial services, so banking leaders should proactively think about how to manage the risks associated with using this technology. <\/p>\n\n\n\n

By combining your trusted customer data with AI, you can transform customer service in banking to improve the customer experience and boost loyalty.<\/p>\n\n\n\n

AI can help you deliver personalised customer service in banking<\/h1>\n\n\n\n

Our research found 63% of service professionals<\/a> say generative AI will help them serve their customers faster, saving them over four hours weekly (or nearly one month per year). <\/p>\n\n\n\n

Drawing from your trusted customer data, generative AI can automatically generate relevant content, such as action summaries and service replies. It helps agents find answers to known questions and issues, surfacing content from your knowledge base articles so they don\u2019t start from scratch with each new caller. This makes your agents more efficient, allowing them to focus on more complicated cases.<\/p>\n\n\n\n

And it\u2019s not just helpful for service inquiries. AI can look at customer data<\/a>, preferences, transaction history, and customer service logs to generate new offers, recommend next steps, or provide proactive assistance for customers\u2019 specific questions or issues, regardless of how they communicate. <\/p>\n\n\n\n

For example, if a customer is getting married and asks about opening a shared account, generative AI can create a suggested reply for an agent that includes details specific to the customer\u2019s finances, while also triggering a followup email to the client with relevant offers for newlyweds. These highly personalised recommendations are possible because AI uses customer data to create content that\u2019s better matched to real-time customer needs, improving customer engagement and loyalty.<\/p>\n\n\n\n

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Invest in your customers<\/h2>\n\t\t\t

When you practice more ways to put the customer first, you\u2019ll see a rise in customer loyalty. See how you can start on Trailhead, the free online learning platform from Salesforce.<\/p>\n\t\t\t\n\n

Take the next step<\/a><\/div>\n\n\t\t<\/div>\n\t\t
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+800 points<\/div>\n\t\t\t
Trail<\/div>\n\t\t\t

Be the Bank Your Customers Love<\/a><\/p>\n\t\t\t

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Make self-service tools easy to use and effective<\/h1>\n\n\n\n

We found 81% of people try to solve a problem themselves<\/a> with self-service tools like chatbots or how-to articles before seeking support. Self-service options save both customers and banks time and effort, making for quick, in-and-out interactions, but bots can be very impersonal if not set up right. <\/p>\n\n\n\n

Self-service tools must be easy to use and integrated well with your platform. When customers use these tools for simple banking transactions, you can use that data to better serve them in the future. While you should focus on making these tools intuitive and simple, you also need to make sure these services feel empathetic and personalised, which helps to build trust with your customers. <\/p>\n\n\n\n

Unfortunately, 59% of consumers<\/a> say it often feels like they are dealing with separate departments, not one company. And 52% of customers<\/a> describe most service interactions as fragmented. Customers want their banks to have a holistic view of their relationship, so they can avoid repeating their story or starting at square one when moving across service teams, channels, and departments. <\/p>\n\n\n\n

AI can significantly improve and scale customer service in banking with better self-service tools that handle more of your customers\u2019 questions. AI-powered self-service enables banks to resolve high volumes of inquiries more efficiently, enhancing customer satisfaction and reducing operational costs. <\/p>\n\n\n\n

And using AI alongside the trusted data<\/a> in your CRM system allows you to quickly analyse customer behaviour patterns to anticipate what they\u2019ll need next. For example, if a customer frequently transfers funds between accounts, the system can provide shortcuts to reach the next step. Or at the start of a session, it could automatically offer a short list of the customer\u2019s most frequent tasks to save time. <\/p>\n\n\n\n

This helps customers resolve issues and accomplish tasks quickly, providing full access to personalised services, showing them savings opportunities, and proactively recommending services that support their financial wellbeing. <\/p>\n\n\n\n

Use your data to offer proactive recommendations<\/h1>\n\n\n\n

Banking customers want to feel like you know, remember, and value them. But only 37% of customers<\/a> say their bank anticipates their needs. That\u2019s concerning, because half of those we surveyed said they would switch banks if service felt impersonal. AI algorithms can help you anticipate customer needs and automate outreach \u2014 even before customers turn to you.<\/p>\n\n\n\n

For example, predictive AI can identify patterns, then alert bank staff to potential customer needs. Maybe it recognises a customer building up their savings account and frequently checking their credit score. This could indicate they are planning to make a purchase that requires lending services. A personal banker then could use generative AI to reach out to the customer with a personalised loan offer tailored to their finances.<\/p>\n\n\n\n

Similarly, predictive AI can alert your team to event triggers, such as a customer\u2019s fixed deposit reaching maturity. Then generative AI can help you meet that customer at the right moment, generating a package of reinvestment options for their unique circumstances. That\u2019s what people want from customer service in banking.<\/p>\n\n\n\n

Eventually, AI will make personalised financial planning more accessible for all banking customers, no matter their wealth. By analysing the vast amounts of data you already have, the algorithm can offer personalised recommendations tailored to every customer\u2019s financial goals. This will revolutionise the way financial advice is delivered, making it more accessible and relevant to the broadest range of banking customers.<\/p>\n\n\n\n

Use AI to take customer service in banking to the next level<\/h1>\n\n\n\n

Despite improving digital services and capabilities, many banks find it difficult to win the loyalty of their customers. Customer service could make the difference, helping the customer feel known and valued by offering empathetic, personalised care.

Still, you will need to think about how you\u2019ll supervise AI usage. Choosing the right technology platform is key, and you should look for solutions with built-in compliance and transparency features for protection and control. These might include audit trails for record-keeping, automatic hand-off to humans for decision-making, and transparency in data usage for recommendations. <\/p>\n\n\n\n

For banks to build trust<\/a> with their customers, they must get to know them throughout the journey. To do this at scale, AI can help you connect with customers, addressing their needs and showing you care about their needs today and in the future.<\/p>\n\n\n\n

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What do your customers want most?<\/h2>\n\t\t\t\t\t\t\t

We asked thousands of customers what they expect from their financial institutions and what is most important to them. Our latest report can help you take your company to the next level.<\/p>\n\t\t\t\n\t\t\t\n\t\t\t\t\t\t\t

\n\t\t\t\t\tFind out now<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t
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With AI, you can better meet your customers’ needs and give them the personalised service they expect from their bank.<\/p>\n","protected":false},"author":112,"featured_media":12315,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"sf_justforyou_enable_alt":true,"optimizely_content_id":"","post_meta_title":"","ai_synopsis":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"sf_topic":[789,556],"sf_content_type":[],"coauthors":[821],"class_list":["post-12311","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","sf_topic-financial-services","sf_topic-artificial-intelligence"],"yoast_head":"\n3 Ways AI Can Improve Customer Service in Banking | Salesforce<\/title>\n<meta name=\"description\" content=\"People want better digital tools and more human guidance when it comes to customer service in banking. 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