Trends in the market

Know your client

The need for product customisation brings with it the need to know the customer better. Digitalisation allows building a unique view of the customer that will provide high analytical capabilities and improve the service and customer experience.

Automatise and optimise processes

AI and automation will have a profound impact and improve business results by impacting customer experience, cost optimisation, operational efficiency, market competitiveness and new business models.

Personalise products

Customers are looking for personalised offers, based on on-demand use and the “all-in-one” concept. Flexible coverage, microinsurance and peer-to-peer insurance will be the medium-term preference. modern marketing technology, analytical tools, and a plethora of client data enable businesses to conduct a huge number of customised campaigns.

Advanced analytics and proactiveness

Technologies such as IoT, through all types of mobile devices, will be especially useful in property and casualty insurers, enabling them to extract accurate, real-time data and facilitating proactive, timely and highly personalized interventions.

New models

Digital models will also reduce intermediaries in the value chain, which account for up to 80% of premiums collected. New lifestyles reimagine relationships with insurers. APIs integrate data from multiple sources, deeper understanding of behaviour will enable more accurate risk assessments, personalized premiums for better customer experience and brand loyalty and a reduction in false claims.

Optimised customer profiles have a number of direct positive effects on sales and marketing

On one hand, the quality of communication can be significantly increased, on the other hand, the speed of interaction can also be significantly improved. At the same time, enhanced insights into customer needs can also be used profitably in the area of product development.

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AI-based solutions for insurance sector

Client unique ID

We can help you build your unique customer view, aggregating different sources of information, both online and offline, around a unique anonymised customer ID to maximize the personalisation of the offer.

Visual analytics

The capabilities of AI applied to image analysis, both still and moving, automates claims assessment processes and accelerates the resolution of incidents in physical environments or on digital entities, streamlining your operations by converting this information into searchable, qualifiable, actionable data using computer vision.

Automatisation of mail inbox and document extraction

Improves processes through the incorporation of AI to simple and repetitive tasks such as the classification of incoming emails, automatically directing them to different areas,reducing high levels of spam and streamlining processes by automating the extraction of data from formal and informal documents and generating standardised reports from them to facilitate the management of back office tasks.

Personalisation and improvement of recommendation engine

Use customer insight and advanced analytics capabilities to find the most profitable services and products for each customer, reducing the abandonment risk, and finding the best next best action at any given moment to build customer loyalty.

We help our clients transform their business through data

“Keepler is a very reliable and skilled provider, always understanding the client’s needs and providing the right piece of advice at the right time. Clearly, they are a key piece of the team”

- Advanced Analytics Lead, Insurance Company -
INSURANCE
CROSS
Big Data
ML
Cloud
SUCCESS CASE

Email Classification Engine

The insurance company receives more than 100k emails per month related to different processes and requests. A team of experts must read all emails and forward them to the appropriate team. This process is costly and prone to human mistakes.

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INSURANCE
CROSS
Big Data
ML
Cloud
SUCCESS CASE

Potential Fraud Detection

The organization has a limited team of data analysts who work with rules systems to identify potential fraud situations in the processing of household claims. The team is limited and the volume of open files exceeds 1,000 per day.

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INSURANCE
CROSS
Big Data
ML
Cloud
SUCCESS CASE

Creation of the Advanced Analytics Platform

The organization has a team of data analysts working on SAS in on-premise mode. They want to migrate their work environments to the cloud and start working with ML and unstructured data.

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Thinking about the future?

These are the goals for your business

New business models and revenue streams to increase your turnover.

Increased profitability of your service portfolio.

Reduced operating costs and improved efficiency through automation.

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