Returned Product Grading via Hierarchical Model Pricing

The system segments the pricing process into multiple hierarchical levels: product identification, condition assessment, grading category determination, and price calculation. Each level handles specific aspects of evaluation, allowing complex pricing logic to be broken down into manageable, modular components that can be independently developed and maintained.

The patent introduces an intermediary grading system that acts as a mediator between the physical product condition and the final price. The system uses intermediate representations such as condition scores, grading categories, and standardized metrics to translate physical attributes into pricing decisions, enabling accurate pricing without requiring direct complex connections between all evaluation parameters.

The system performs preliminary actions by pre-establishing grading criteria, condition thresholds, and pricing rules before actual product assessment. Product conditions are pre-categorized into standardized grades, and pricing algorithms are pre-configured based on historical data and market conditions, enabling rapid evaluation without re-evaluating all parameters for each product.

The patent replaces manual mechanical assessment processes with automated electronic systems including image recognition, sensor-based condition detection, and algorithmic pricing determination. This substitution eliminates the need for manual inspection and calculation, maintaining high assessment accuracy while dramatically reducing processing time and labor requirements.