CONSUMER FINANCE

In financial services, AI is transforming into a competitive differentiator by providing a hyper-personalized customer experience, enhancing decision-making, and increasing operational efficiency. Nonetheless, many businesses will need to step up their efforts to integrate AI throughout the value chain, while also planning for the next wave of advanced technology in order to keep up with more forward-thinking gameplays.

Here are just a few of the most frequently cited benefits of AI that demonstrate how its adoption in finance would provide customers with a faster, more secure, and superior experience:

Enhanced Productivity

AI can make proactive and prudent decisions for them, provide them with the data they require, and assist them with all financial processes. The AI quickly resolves all basic queries and manual operations and then forwards them to the customer agent team. This ensures that the customer service team is only responsible for the most complex and critical operations and tasks.

AI is becoming increasingly efficient and affordable as technology advances. They do not require sleep, do not take breaks, and are never ill. Additionally, AI can rapidly acquire new abilities and makes no errors.

Improved operations and lead generation

If you’ve recently had an online chat with a customer service representative, they may have kept something from you. Perhaps you spent the entire time conversing with a bot.

Chatbots aid in the development of an effective customer service strategy and the enhancement of customer interaction. Powered by artificial intelligence, chatbots have access to a variety of customer-centric data points and can also combine location-specific requests to quickly identify common problems, identify trends, and predict what causes a particular user’s problems.

Digitized business processes

Applying AI to a fragmented and poorly structured business process can result in disappointing performance. In such cases, corporations should prioritise process optimization over process improvements, standardization, and restructuring. AI enables you to maintain an online working environment, allowing you to access your financial data in real time and work automatically from any location.

Strengthen data management

Artificial intelligence technologies help to access real-time and correct data, which remains a barrier for many financial firms with various old fragile data architecture systems. Companies must identify and ensure that the type of information necessary to each AI project is acquired on a timely and acceptable basis, whether from internal sources or non-traditional (third-party) sources, such as social media messages.

We have incredible opportunities in financial services to leverage artificial intelligence and machine learning for the benefit of our customers. Technological advancements such as leveraging intelligence to identify consumer investments that are aligned with their personalized priorities, enhancing customer experience through the use of smart bots, generating additional alpha through insights from alternative data sets, and operational efficiency through machine learning would benefit financial sectors significantly.

Regional Outlook (Revenue, USD Billion, 2021 – 2027)

• North America
  • The U.S.
  • Canada
  • Mexico
• Europe
  • Germany
  • The U.K.
• Asia Pacific
  • China
  • Japan
  • India
• South America
  • Brazil
• Middle East and Africa (MEA)

Competitors

• ZestFinance
• DataRobot
• Scienaptic Systems
• ai
• Managing Risk
• Kensho
• Ayasdi
• Kasisto
• Abe AI

Topics this report will cover:

• Market size from 2019 to 2027
• Revenue Forecast from 2020 to 2027
• Market segmentation and active players
• Market trends and opportunities
• Competitive landscape 
• Regional analysis 
• Related Industries 

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