AdvancedLogicEngine_Handle Any Complexity Without Limitations

ADVANCED LOGIC ENGINE

The Rules Engine with Power and Intelligence to Handle Any Complexity

Logik.io's advanced logic engine is built to handle any level of configuration and pricing rule complexity, ensuring optimal performance measured in milliseconds.

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Our AI-Powered Solving Engine is Built Different Than Other CPQs

Logik.io's proprietary solving engine technology is built to process selling rules more efficiently and intelligently, and to handle any complexity with faster easier user experiences and less administrative headaches.

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Take a tour of Logik.io's advanced logic engine

See how Logik.io's platform is built to handle any complexity with lightspeed performance.

Why Is a Solving Engine Better Than a Constraint Engine? 

Discover why a solving engine is better-suited to your needs with our handy comparison.

Constraint Rules Engine

A rules-based system that restricts choices within a configuration by applying defined constraints. It checks conditions to ensure a valid configuration based on predefined rules, often in a hierarchical or sequential manner.

 

 Approach: Reactive and restrictive; checks each rule against a configuration to enforce constraints

 

 

 Rule Structure: Requires manually defined rules, often in a hierarchy or order of precedence

 

 

 Scalability: Limited scalability; adding new rules can become complex and lead to rule conflicts

 

 

 Management Complexity: High; rule management requires careful planning, ordering, and maintenance to avoid conflicts

 

 

 Flexibility: Limited flexibility; works best in environments where rules are relatively simple and well-defined

 

 

 Adaptability: Requires manual updates when business rules or products change

Logik.io's Solving Engine

A dynamic, logic-driven system that automatically determines the most optimal configuration based on inputs without requiring defined hierarchies or rule prioritization. It solves for the best outcome by evaluating all possibilities at once.

 

Approach: Proactive and dynamic; solves for the optimal configuration across all possibilities

 

 

Rule Structure: Requires logic definitions but doesn’t rely on rule hierarchies or manual order

 

 

Scalability: Highly scalable; new inputs and logic are dynamically solved without rule conflicts

 

 

Management Complexity: Low; solving engine handles rule evaluation automatically, reducing manual oversight

 

 

Flexibility: Extremely flexible; adapts to complex configurations with many interdependencies

 

 

Adaptability: Automatically adapts as new variables, products, or inputs are introduced

Power Configuration and Transaction Rules with Unparalleled Efficiency and Precision

Don't be limited by the underlying architecture of your CPQ solution. Get the more powerful, smarter, easy to manage rules engine.

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FAST & POWERFUL

Perform complex calculations instantly

Logik.io's logic engine supports even your most complex pricing and configuration calculations natively, without sacrificing performance.  

OPTIMAL & COMPLIANT

Get power beyond constraint engines

Logik.io automatically adapts and applies the most appropriate rules based on user selections, ensuring configurations are both ideal and within compliance.

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SCALABLE

Built for enterprise volume and sophistication

Designed to scale seamlessly for handling tens of thousands of rules without degradation in performance, making it ideal for large-scale enterprise applications.

Engineered to support high-demand commerce environments, ensuring that performance remains consistent and reliable even during peak usage.

AI-POWERED

The only truly AI-powered CPQ rules engine

Cosmo AI enhances the engine's capabilities by providing AI-powered assistance in rule creation and optimization, making the process faster and more accurate.

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50 Questions for Your CPQ RFP

Thinking about a CPQ evaluation? Need help deciphering what sets different CPQ solutions apart? 

Get the free guide to assist in your search.

Looking for more? Talk to the Logik.io team today.