Case Study

Enhancing pricing models with Aioi Nissay Dowa Europe

Integrate multi-source data with an AI solution that enables the optimisation of new customer and renewal pricing offerings.





increase in retained customers.


The insurance market is one of the most competitive when it comes to price comparisons. In an industry of such small margins, ineffective pricing models can lead to a loss of revenue and an underperforming business.

Speed is also a factor. When someone wants to get a quote for an insurance policy, they're likely to expect many competing quotes returned to them in just a few seconds.

Aioi Nissay Dowa Europe (AND-E) needed a fast, automated, intelligent pricing solution that generated accurate price quotes based on an understanding of how market trends were constantly changing.


AND-E and Mind Foundry used the Mind Foundry Platform to develop a unique solution that incorporates millions of data points from multiple disconnected sources. The solution combined historic renewal cases, including the outcome at given price points and true cost to AND-E, with competitor price estimations.

Using a Continous Metalearning capability, the solution automatically and continuously integrates data back into the model to improve performance over time rather than suffer model deterioration. It integrates with AND-E’s internal systems, enabling their analysts to test and deploy new pricing strategies rapidly and reliably.


The solution enables AND-E to have a deeper, data-driven understanding of a potential customer’s risk profile whilst using this insight to simultaneously predict the market price.

The solution enables better risk estimation for renewal quotes, which has led AND-E to retain 1-2% more of their best customers. Renewing customers is far better for AND-E than new business as they come with a clear picture of risk.

AND-E Logo-2

"We saw greater engagement and collaboration between pricing experts and data scientists, collaborating throughout the model deployment and use. As a business, it was another step towards the responsible use of AI with transparency, accountability, and human oversight."

Nika Lee
Chief Underwriting Officer

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