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Case Studies

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Transforming customer intelligence at scale

Transforming customer intelligence at scale

Transforming customer intelligence at scale

How a Fortune 50 bank unified 200M customer experiences with AI

How a Fortune 50 bank unified 200M customer experiences with AI

200M+

Customers served

80%

Time reduction

10+

Use cases

360°

Customer view

The challenge

Breaking down data silos

A Fortune 50 multinational retail bank serving over 200 million customers faced a critical challenge: Fragmented customer data across operational silos was creating a disconnected customer experience and preventing optimal team performance.

Key challenges

  • Disconnected customer intelligence across business units

  • Limited ability to scale personalized insights

  • Reliance on basic rule-based decisioning

  • Lack of real-time actionable intelligence

The solution

Cogentiq Personalization framework

Unified intelligence hub

360° customer view accessible across silos

Self-service analytics platform

Continuous learning AI models

AI-powered decisioning

Automated personalization at scale

Real-time insight generation

Seamless systems integration

Implementation approach

1

Discovery & design

  • Assessed team objectives

  • Created architecture

  • Developed requirements

2

Development & testing

  • Built AI/ML models

  • Tested initial MVP

  • Refined from feedback

3

Enterprise rollout

  • Phased implementation

  • Team enablement

  • Continuous optimization

The impact

Measurable enterprise-wide results

Operational excellence

80%

Time reduction

  • Consolidated data view

  • Self-service analytics

  • Automated insights

Customer experience

45%

Satisfaction increase

  • Personalized engagement

  • Faster response times

  • Relevant interactions

Business growth

3.3x

Use case expansion

  • 10+ active use cases

  • Improved efficiency

  • Significant savings

Looking ahead

Expanded use cases

  • Rolling out across additional business units

Expanded use cases

  • Rolling out across additional business units

Advanced automation

  • Further optimizing customer interactions