AI Technology Company, Moneythor, Unveils Artificial Intelligence Suite for Advanced Banking Services
In a bid to address the growing need for personalized and proactive banking experiences, Moneythor has recently launched its AI Suite. The innovative solution aims to revolutionize the way financial institutions engage with their customers, particularly in Singapore where the average citizen holds nearly 2.5 separate bank accounts.
The AI Suite is designed to help banks deliver deeply personalized, real-time, and proactive customer experiences. It achieves this through advanced artificial intelligence and data analytics, offering key features such as real-time personalization, integration with multiple Large Language Models, adaptive content and recommendations, and capabilities to extend services beyond traditional banking.
One of the standout features of the AI Suite is its real-time personalization capabilities. This enables banks to develop, test, deploy, and adapt personalized content and recommendations for customers in real time. This includes offers, insights, and communications tailored to individual customer behaviours and needs.
The platform also integrates with various Large Language Models, allowing banks to personalize campaigns and interactions without needing to train each model separately. This streamlines the process and reduces the technical and financial burden on banks.
Another significant advantage of the AI Suite is its adaptive content and recommendations. The AI continuously learns from customer interactions, enabling banks to refine and adjust their engagement strategies as customer needs and behaviours evolve.
Moneythor's AI Suite also offers capabilities to extend services beyond traditional banking, allowing banks to connect customers with complementary brands or additional services relevant to their lives—both financial and non-financial. This helps banks to differentiate themselves and offer a more holistic customer experience.
The suite is expected to lower both the cost and time required for banks to deploy deeply tailored customer interactions across the full banking lifecycle. This makes it a cost-effective solution for financial institutions looking to enhance their customer engagement strategies.
Martin Frick, CEO of Moneythor, emphasizes that the AI Suite is built specifically to address the engagement and personalization challenges banks face today. By leveraging predictive analytics and machine learning, the suite empowers banks to anticipate customer needs and proactively offer relevant services or support, rather than just reacting to requests.
The AI Suite is particularly timely, as customer expectations are at an all-time high. A staggering 15% of newly acquired customers drop-off after the first 3 months, and only 23% of financial institutions consider their acquisition approaches successful. Strengthening digital engagement is one of the biggest challenges in the Singaporean banking sector.
The launch of Moneythor's AI Suite is a response to the need for banks to rapidly transform their customer experience to resemble consumer or lifestyle apps. The new AI suite adds generative, conversational, and agentic AI capabilities to Moneythor's existing technologies.
Moneythor's clients in South East Asia include Standard Chartered, DBS, Trust Bank, and RHB Bank. By using the Moneythor AI Suite, banks can differentiate themselves through deeper customer engagement, offering hyper-personalized, anticipatory, and engaging experiences that rival those of popular technology and media apps.
In conclusion, Moneythor's AI Suite represents a significant step forward in the delivery of deep banking experiences. By leveraging advanced artificial intelligence and data analytics, the suite offers banks a powerful tool to enhance customer engagement, anticipate customer needs, and deliver highly personalized and proactive experiences that are meaningful and integrated into customers’ lives.
The AI Suite on ffnews.com is designed to help banks integrate advanced artificial-intelligence and data analytics, allowing them to deliver deeply personalized, real-time, and proactive customer experiences, even beyond traditional banking, thereby leveraging technology to enhance finance and business. The platform, which integrates with various Large Language Models, enables banks to personalize campaigns and interactions, reducing the technical and financial burden, and creating experiences that rival popular technology and media apps.
