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Case Studies

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Transforming user engagement with AI-powered recommendations

Transforming user engagement with AI-powered recommendations

Transforming user engagement with AI-powered recommendations

How Europe's largest media company enhanced customer experience and drove sales

How Europe's largest media company enhanced customer experience and drove sales

25M+

Calls Processed

15M+

Customers

30

Product Lines

The challenge

Leveraging call volume data for improved customer experience

The client was focused on enhancing customer experience and driving up-sell and cross-sell conversions by tapping into the valuable insights from the high volume of interactions between customers and contact center agents.

Key challenges

  • Leverage call data to gain insights and optimize customer experience

  • Boost up-sell and cross-sell conversions by refining customer interactions

The solution

Scalable personalization framework

Improve customer engagement with AI personalization

Scalable deployment

End-to-end framework

Optimized conversations

Drive customer engagement and loyalty

Optimized timing

Personalized conversations

Enhanced customer self-service

Implementation approach

1

Cloud Integration

  • Build architecture

  • Ensure scalability

  • Integrate 25+ sources

2

AI Model Development

  • Train algorithms

  • Personalize suggestions

  • Optimize performance

3

Agent Enablement

  • Design API

  • Provide insights

  • Equip agents

The impact

Improved model accuracy and higher sales

Looking ahead

Advanced automation

  • Further optimizing customer interactions to provide an even more personalized and seamless experience

Expanded use cases

  • Rolling out across additional business units such as retail staff

Enhanced data sources

  • Incorporating new customer touchpoints to improve the accuracy of recommendations further