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

By: GoBeyond Team
July 3, 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
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
Tags
Predictive Modeling
Recommendation Engine
Enhanced Decision-Making
AI Tools Used
No items found.
Sources
https://www.creatio.com/glossary/ai-for-cross-selling-and-upselling

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