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Government Insurance Company:
This Florida based insurance company had an old reporting system that was very dependent on people, difficult to maintain and offered limited trust in the reports. They tried migrating to PowerBI, but that was not a true reporting system.
QuaerisAI, working with their partners, were able to replace the entire reporting system in about three months by QuaerisAI's Intelligent Reporting suite. The reports now get generated in one-click, with Approval Workflow built-in, and a Reports Scheduler to push reports in automated way.
Large Insurance Broker:
This fast-growing New York based insurance brokerage firm needed to hire increasing number of customer and policy support team members to support a growing number of clients.
They build a 'poor-man's document management system' with copying and pasting all the emails and documents into OneNote, and then exposing this content to OpenAI. The leadership just did not like nor wanted to continue with OpenAI.
QuaerisAI took them live in matter of days with mapping all their SharePoint folders to the support team and enabling the users to ask questions and copy-past the well-formatted response into emails. They collaborate effectively using QAI's built-in collaboration suite and keeping all clint related conversations secure and private has been a big-win for them.
Contact Center
A large manufacturing has US based call-center because of the complex product and specialized support their customers need. What complicated their situation is that their customers are blue-collared handymen and that meant they needed a US based call-center. Challenges they face were not unique, they see high-churn which leads to high cost of repeat-training.
They explored Microsoft Co-Pilot and Snowflake Cortex as possible options to roll out to contact center so the users could ask questions and get answers. These products had a much higher Total Cost of Ownership and offered limited feature/functionality.
QuaerisAI has seen a dramatic adoption growth with adoption growing six fold in first five months. They started with Contact Center users, then added Marketing and Plant Management on QuaerisAI.
Services SaaS
A property management SaaS company used an expensive third-party dashboard software for its data visualization needs. However, the dashboards were not user-friendly, and users found them difficult to use, leading to low engagement.
The company integrated QuaerisAI' GPT-like search into their mobile app, enabling users to ask questions in natural language and receive instant answers. This simplified the data discovery process and made it more accessible to users who were not data-savvy.
The integration of QuaerisAI's Natural Language Search led to improved user engagement with the SaaS platform. Users found it easier to access and understand the data, leading to increased utilization of the platform. The company could now deliver valuable insights to its users at a reduced cost, leading to improved customer satisfaction and retention.
A leading financial institution struggled to gain insights into its customers' behavior and preferences, making it difficult to create targeted marketing campaigns and improve customer satisfaction. They needed a solution that could quickly analyze vast amounts of customer data and provide real-time insights.
The financial institution decided to try QuaerisAI to analyze customer data, including transaction history, demographic information, and social media activity. QuaerisAi provided real-time insights into customer behavior, spending patterns, and product preferences, enabling the bank to create personalized marketing campaigns and improve its product offerings.
The user-friendly interface and easy-to-use pinboards of QuaerisAI proved to be a hit with the bank's operations and management teams. The QAI's pinboards provided a clear overview of key performance indicators:
- customer acquisition increased by 15%, resulting in over 100,000 new customers
- customer retention rates increased by 10%, allowing the bank to retain an additional 50,000 customers
- the bank was able to identify new product opportunities and optimize its pricing strategy, resulting in a 12% increase in revenue or $2.5 million.