Patented AI-Plan Recommendation Technology
AI-Powered Recommendation Technology for Complex Decisions
When customers are presented with dozens, hundreds, or even thousands of products or plans, finding the right option can be complicated.
Our patented AI plan recommendation technology makes that process smarter by analyzing customer data, applying complex rules and eligibility criteria, eliminating options that do not fit, and delivering personalized recommendations. Originally developed to solve complex insurance plan selection challenges, this intelligent plan recommendation technology can be adapted to other industries where businesses need to match customers with the right products, services, or plans.
A Smarter Product Recommendation Engine
Traditional recommendation systems often rely on simple filters or broad customer segments. Our plan recommendation engine is designed for more complex decision-making.
The technology can:
Analyze customer data and create a structured digital representation of the individual.
Interpret and normalize data, including variations, aliases, abbreviations, and incomplete information.
Apply complex eligibility rules and product-specific criteria.
Automatically eliminate options that do not meet defined requirements.
Evaluate multiple data points together rather than relying on a single qualification.
Identify relationships between different pieces of data to improve recommendations.
Rank and organize remaining options based on defined criteria.
Deliver personalized product recommendations from a large universe of available options.
The result is an automated plan selection and recommendation process that helps businesses turn customer data into relevant, actionable choices.
Intelligent Decision Engine and Automated Eligibility Screening
Businesses often have rules that are too complicated for basic search filters. Our intelligent decisioning technology can evaluate multiple criteria simultaneously, including eligibility requirements, product-specific restrictions, customer attributes, and relationships between different data points.
Additionally, the system can perform automated eligibility screening, progressively removing products or plans that fail defined requirements before presenting the remaining options to the customer. This helps businesses automate complex qualification processes while applying their decision logic consistently.
Personalized Recommendations Based on Customer Data
The technology was designed to do more than match individual data points. It can evaluate relationships between multiple pieces of information to determine which options are most appropriate. In the patented insurance application, for example, the system can analyze medication information, identify potential medical conditions, and use those inferred conditions when evaluating available insurance plans. The result is a personalized product matching based on a broader understanding of the customer rather than a single input.
This same approach can be adapted to other industries where businesses need to determine: “Given what we know about this customer, which options actually fit?”
Intelligent Data Interpretation
Real-world customer data isn't always clean. People misspell names, use abbreviations, use brand names instead of generic names, or provide information in different formats. The patented technology includes processes for identifying and correcting variations in input data before using it in the recommendation process.
The system can also identify relationships between related data points through structured data models and hierarchical relationships, making the technology useful as an AI-powered recommendation engine capable of working with real-world, imperfect data.
From Thousands of Options to the Right Few
One of the biggest advantages of an intelligent AI recommendation engine is its ability to narrow a large universe of choices through its rules-based complex decisioning technology. Instead of presenting customers with every potentially available option, the complex decisioning technology can progressively eliminate products that fail specific requirements and return only the options that remain relevant. That can help businesses and their users:
Reduce decision fatigue
Give customers fewer, more relevant choices.Improve efficiency
Automate complex qualification, comparison, and selection processes.Reduce wasted interactions
Avoid spending time evaluating products a customer cannot use.Deliver personalized experiences
Match recommendations to the individual rather than relying solely on broad customer segments.Scale complex decision-making
Apply sophisticated decision rules consistently across large product catalogs.
White-Label Recommendation Technology
Our patented technology can serve as a white-label recommendation technology or decisioning layer behind another company's customer experience. Businesses can potentially use the underlying technology to power:
Product and plan recommendation engines
Eligibility and qualification systems
Financial product matching
Personalized marketplaces
Benefits and coverage selection
Automated quoting and comparison
Customer onboarding
Decision-support applications
Rules-based product filtering
Industry-specific recommendation platforms
API-based recommendation experiences
The patent itself describes applications beyond insurance, including a banking example in which customer attributes such as income, investments, savings, debt, and property ownership could be evaluated against product criteria. That makes the technology potentially useful anywhere a business needs to connect customer data, complex rules, and a catalog of products or services.
A Flexible Recommendation and Eligibility Engine
At its core, the patented technology provides a framework for turning complex data into better decisions. A business can provide:
Customer Data → Decision Rules → Product Catalog → Intelligent Filtering → Personalized Recommendations
The technology can then evaluate the available options, eliminate those that do not meet the required criteria, and return the options that best fit the customer's circumstances. This can reduce manual decision-making, simplify complicated customer experiences, and help businesses make sophisticated product recommendations at scale.
Bring Intelligent Decisioning to Your Product
If your business has a complex catalog of products, services, or plans and needs a smarter way to determine which options are right for each customer, our complex decisioning technology can provide the intelligence behind that experience. Whether you're looking for an AI-powered recommendation engine, automated eligibility screening, personalized product recommendations, or white-label recommendation technology, our technology can be adapted to support complex product-matching applications.
Explore licensing, integration, or white-label opportunities with our technology team.
Patent Information
Patent Publication: 20250245753
Application: 19/080,238
Filed: March 14, 2025
Published: July 31, 2025
Patent application filed. Technology and patent claims are subject to the scope of the applicable patent application and claims.
