Recommendation
Engine
for Insurers

Zelros leverages data and uses artificial intelligence
to push personalized insurance recommendations
across channels.

PlatformDesign

The platform helps the sales, marketing, Datalab/ IT teams improve the customer experience at every touch point.

Fight the damages from misselling and intermittent customer experience

Current systematic challenges without Zelros:

Little to no data

Management to help engage and build a relationship with end customers

relation

Improving the quality

Of internal data and connecting to trustworthy/ relevant third party
data

quality

Modernizing

Architecture to implement smaller and faster integration on the existing environment for a quick return

modernize

Time and cost

Consuming to replace the legacy system

Build trust from seamless customer and agent experience

What are the core capabilities of Zelros recommendation engine?

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Data Augmentation specifically for insurance distribution

Ready to use recommendations focused on insurance challenges: retention, cross sell, up sell & acquisition
Collect, analyze and synthesize internal and external data relevant for insurance context (vandalism, risks, behavioral)
Provide market stats on cross-selling potential

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Mlops/AI

Provided a responsible AI platform in line with regulations of data and insurance
Automate improvement based on user feedback and interactions across channels
Specialized data schemas, and advanced AutoML (Automated Machine Learning)
to deploy new generation predictive scores at scale

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Customized workflow

Customized workflows adjusting to advisor’s experience level
AI-powered scoring mixed with deterministic rules to manage product eligibility
Critical AI-driven processes in production, without compromising on fraud detection

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Compliance / Security

Fast, secure, and flexible full or hybrid cloud-based integration
Enterprise-level data anonymization, traceability and regulation compliance (IDD, GDPR)

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Flexible integration

Central activation/monitoring across channels from a unified platform
Ready to use apps & API to deliver the recommendations in CRM, Web channels, and marketing automation tools
Open API to embed existing scoring and feed NBO systems

Welcome to the Zelros Recommendations Engine Console

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Super points of our console (we all need something) Here a title

Activate pre-built recommendations, Create your own recommendations

Target your customers with hyper-personalized segments

Monitor and customize digital banner functionalities

How does Zelros' Recommendation work

Current systematic challenges without Zelros:

By Design
• Explainable: Focus on algorithm transparency versus opaque performance
• Humble: Algorithms that are aware of their own limitations and biases and communicate them to end users to build trust
• Green: Measurement of the carbon impact of computation effort required
By Design
• Explainable: Focus on algorithm transparency versus opaque performance
• Humble: Algorithms that are aware of their own limitations and biases and communicate them to end users to build trust
• Green: Measurement of the carbon impact of computation effort required
By Design
• Explainable: Focus on algorithm transparency versus opaque performance
• Humble: Algorithms that are aware of their own limitations and biases and communicate them to end users to build trust
• Green: Measurement of the carbon impact of computation effort required