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Leveraging AI and ML to Understand Customer Behavior in Banking

Highlights

Enhanced support with 360-degree customer view

Boosted sales with innovative relationship insights

Implemented Graph DB UI for new customer relationship management

Overview

We spearheaded a transformative shift in banking operations for our client, revealing nuances in customer relationships between small businesses and retail clients. We streamlined this information's storage, management, and distribution by implementing an innovative Cloud-based Data Lake. 

Client

A leading global bank

Geography

North America

Industry

Finance/Banking

Offering

Neo4j Graph DB, IBM MDM, React UI, PowerBI​​

Tags: AI and Analytics

The Challenges

  • Hindered by the absence of C2C relationship tracking, the bank struggled to maintain a comprehensive view of client interactions. 

  • Small business customers needed more coverage of B2B and B2C relationships from traditional external vendors (e.g., D&B).  

  • Integral customer services were impeded as bankers and customer relationship employees lacked essential information. 

  • The absence of hidden customer relationship data hampered the identification of valuable cross-sell and up-sell opportunities.