Our client is the largest first insurance company in the world with over 150,000 employees headquartered in Munich, Germany. As a market leader in the insurance, reinsurance, and asset management markets they aim to secure people’s lives and businesses as their trusted partner while always keeping a careful balance across all stakeholders (shareholders, customers, employees, and society).
To meet the integration requirements, various GIS APIs (including geo enrichment and accumulation APIs) were incorporated. Additionally, the front-end solution was built using a modular approach, enabling seamless integration of existing and future APIs to address any upcoming needs.
The main challenges included:
Quarticle was commissioned to build a user-facing location intelligence application that met our client’s high needs and expectations. The solution (incorporating an open-source stack) allowed them to consume data easily and efficiently, thus successfully supporting accumulation control.
To address the integration requirements, various GIS APIs (including geo enrichment and accumulation APIs) were integrated. Moreover, the front-end solution was constructed using a modular concept, allowing the integration of existing and future APIs to fulfill any upcoming requirements.
Hazard layers and other geo data sets are searchable, selectable, and toggleable. Maps are provided as layers available from the backend geo server cluster. Thus, the solution contains a list of available layers and displays them as requested by the underwriter making their work significantly more efficient.
Ultimately, the client achieved substantial cost savings due to Quarticle’s consumption-based pricing model. Scalability concerns were removed since the solution offers unlimited user and manager seats without introducing additional user management expenses.
Quarticle implemented, extended, and configured an innovative, cloud-based, location intelligence application that fully replaced the client’s previous solutions. UI design, performance, integrations, modularity, user management, and flexibility demands were all met and significantly improved internal workflow, productivity, and work speed. The client reduced overall costs by 65% due to our consumption-based model, allowing them to scale with no additional costs. The Quarticle team fully met their objectives and deadline, and the client extended the partnership to a long-term agreement.
The Quarticle team fully met their objectives and deadlines and the client extended the partnership to a long-term agreement.