How Banks Use AI to Recommend Relevant Financial Products and Increase Customer Engagement

By: GoBeyond Team

July 27, 2025

3 min read

Banking AI product recommendation dashboard

Quick Overview

Banks analyze transaction and behavioral data using AI to recommend relevant financial products such as travel credit cards, premium accounts, and loan upgrades. Personalized offers build trust, increase product uptake, and enhance cross-product engagement.

Various banks globally

Company Size

Large financial institutions

Revenue Range

Multi-billion dollar revenues

Primary Challenge

Increasing cross-product sales and customer trust through personalized recommendations

Key Metrics

- Higher product uptake
- Increased customer trust
- More cross-product engagement

The Problem

Traditional product recommendations were generic and lacked personalization, reducing effectiveness

The Solution

AI models analyze customer data to personalize financial product offers and optimize timing and channel delivery

Results

- Increased sales and customer satisfaction
- Enhanced customer loyalty
- Improved product portfolio utilization

Details

Industry

Finance & Banking

Departments

Sales & Lead Generation

Account Management & Client Success

Use Cases

Upsell & Cross-sell

More Case Studies

See All

How Fluor Corporation Uses AI for Real-Time Workforce Management and Reporting

Construction

How Bloomberg Law Reduced Risk Exposure by Helping Corporations Comply with Data Privacy Laws

Legal

How Target Uses AI-Driven Predictive Analytics and Visualization to Optimize Inventory and Marketing

Technology & SaaS

How Strucinspect Uses AI and Photogrammetry to Digitally Inspect Infrastructure and Create BIM Models

Construction

How Domino’s Uses Emplifi AI to Automate Real-Time Social Media Monitoring and Crisis Management

Retail & E-commerce

How Capgemini Accelerated Sales Velocity with Aptivio’s Buyer Intent AI Platform

Professional Services & Consulting