Enterprise WordPress & Custom Product Configurator for LogFoot

• Calculation Complexity: The "Terrassen Builder" needed to process numerous user variables, including foundation types, dimensions, and varied material selections, to generate accurate results.
• Logic Stability: Initial prototyping with ChatGPT led to code quality issues and logic loops, jeopardizing the reliability of the core calculation engine.
• Dependency Mapping: Managing the flow from user input to final product generation while ensuring it worked harmoniously with the site’s custom PHP optimization engine.

• Architecting PHP Blueprints (Google AI Studio): Used to design and blueprint complex PHP classes. This provided a structural foundation for building a far more stable calculation engine compared to initial prototypes.
• Algorithm Refinement (Google AI Studio): Leveraged AI to refine highly complex algorithms, ensuring the tool remains accurate even with a wide variety of custom user inputs and edge-case dimensions.
• Logic Verification: AI assisted in mapping out dependencies within the multi-step form to prevent logical contradictions in material selection.

Expert Refinement & Validation

The AI-driven insights were finalized through senior-level engineering to ensure enterprise-grade stability and user experience:

• Interactive Visualizer: Beyond logic, we created a real-time preview engine for terrace layouts and automated the export of technical plans into downloadable PDF formats via TCPDF.
• WooCommerce Integration: Developed custom logic to identify specific existing products in the catalog and calculate precise quantities for an accurate checkout.
• Technical Optimization: Ensured high-performance execution by utilizing native JavaScript logic that optimized the frontend experience, rather than relying on heavy third-party libraries.