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Transforming user engagement with AI-powered recommendations
How Europe's largest media company enhanced customer experience and drove sales
Transforming user engagement with AI-powered recommendations
How Europe's largest media company enhanced customer experience and drove sales
Transforming user engagement with AI-powered recommendations
How Europe's largest media company enhanced customer experience and drove sales
25M+
Calls processed
15M+
Customers
30
Product lines
25M+
Calls processed
15M+
Customers
30
Product lines
25M+
Calls processed
15M+
Customers
30
Product lines
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 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 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
testxvcvcxv Disconnected customer experience across channels
Boost up-sell and cross-sell conversions by refining customer interactions
The solution: AI-powered recommendation system
Customer-first approach
AI-driven recommendations
Seamless cloud integration
Contextual customer insights
Modularized AI system
Integrates 25+ data sources
Top 3 product suggestions
API delivery for agents
The solution: AI-powered recommendation system
Customer-first approach
AI-driven recommendations
Seamless cloud integration
Contextual customer insights
Modularized AI system
Integrates 25+ data sources
Top 3 product suggestions
API delivery for agents
The solution: AI-powered recommendation system
Customer-first approach
AI-driven recommendations
Seamless cloud integration
Contextual customer insights
Modularized AI system
Integrates 25+ data sources
Top 3 product suggestions
API delivery for agents
Implementation approach
1
Cloud integration
Build architecture
Integrate 25+ sources
Ensure scalability 2. AI Model
2
AI Model Development
Train algorithms
Personalize suggestions
Optimize performance
3
Agent Enablement
Design API
Provide insights
Equip agents
Implementation approach
1
Cloud integration
Build architecture
Integrate 25+ sources
Ensure scalability 2. AI Model
2
AI Model Development
Train algorithms
Personalize suggestions
Optimize performance
3
Agent Enablement
Design API
Provide insights
Equip agents
Implementation approach
1
Cloud integration
Build architecture
Integrate 25+ sources
Ensure scalability 2. AI Model
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
Operational excellence
Quick acceptance among call agents and retail staff
Enhanced accuracy of the benchmark model
Business growth
Significant sales boost within the first week of the rollout
Looking ahead
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
Advanced automation
Further optimizing customer interactions to provide an even more personalized and seamless experience
Looking ahead
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
Advanced automation
Further optimizing customer interactions to provide an even more personalized and seamless experience
Looking ahead
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
Advanced automation
Further optimizing customer interactions to provide an even more personalized and seamless experience
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All rights reserved © 2025 Fractal Analytics Inc.
Privacy Policy
WB Policy
Terms of Use
Supplier Code of Conduct
Privacy & Cookies
Raise a concern
ESG Policy
Cookie Preference Center
OH&S Policy
Modern Slavery Statement
ABAC Policy
View full footer
All rights reserved © 2025 Fractal Analytics Inc.
Privacy Policy
WB Policy
Terms of Use
Supplier Code of Conduct
Privacy & Cookies
Raise a concern
ESG Policy
Cookie Preference Center
OH&S Policy
Modern Slavery Statement
ABAC Policy
