Finance & RegTech

Risk analytics for motor fleets

Key achievements

Vector searchIntelligent searchOperational excelence

"We can rely on their technical guidance, whether it's choosing the right tech stack, managing software delivery, or maintaining the project. They've got our back."

Jozef Soročin, Leader of special projects at g-Xperts

Client

g-Xperts is a Google Maps & Cloud Premium Partner who excels in geo-applications & provides an in-house solution for accurate location information on Google Maps. Hotovo helped g-Xperts extend its BI tool with motor fleet risk analytics for insurance companies.

g-Xperts Motor fleet extension by Hotovo 1

g-Xperts Motor fleet extension by Hotovo 2

g-Xperts Motor fleet extension by Hotovo 3

Case study

The need

The end client needed a crucial new feature: a module to enhance the existing BI application. This module would not only provide reports related to property insurance risk evaluation but also introduce functionality for evaluating vehicle risks. This addition is essential for the client, as it broadens their reporting capabilities and ensures they can effectively assess a wider range of risks, ultimately leading to better decision-making and improved service for their customers. The successful implementation of this project highlights our commitment to delivering solutions that meet our clients’ evolving needs.

Our solution

Hotovo has been recommended as a trusted software development partner to cover end-to-end product development, management, support, and maintenance.

Hotovo successfully delivered the required scope within the agreed timeframe, proving the client’s full trust in us. Our collaboration not only met all business deadlines but also helped the client achieve their key business goals. Our two full-stack developers built the module with Angular and ElasticSearch, adding risk analytics for motor vehicles alongside the existing property insurance reports.

Key results

Hotovo delivered the extension of the existing Business Intelligence (BI) tool, covering a new type of data — motor vehicles. The developed module allows analysts to filter and visualize the data, compare it, and identify outliers and potentially incorrect offers.

The application consists of the UI component and the underlying queries used to acquire the data from the ElasticSearch data store.

With risk analytics for both property and motor vehicles in one tool, insurers can evaluate a wider range of risks consistently and spot potentially incorrect offers earlier. Thanks to the project’s success, we’ve extended our collaboration and started working together on a new product: an AI copilot for insurance underwriting.