Automotive Data Analytics Engine for Conversion Rate Calculation
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Solution Overview
Problem
Conventional automotive management systems lack the computing infrastructure and data analytics capabilities to systematically capture and analyze automotive distribution data, leading to inaccurate visitor tracking and conversion rate calculations, which hampers informed decision-making and competitive benchmarking for automotive companies and car dealerships.
Innovation Solution
An automotive data analytics system equipped with an automotive data analytics engine that aggregates data from car dealership information, building footprint, location tracking, and car registration data to calculate and display conversion rates, providing accurate market intelligence and competitive analysis through a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional automotive management systems are used, then system simplicity is maintained, but data analytics capability and measurement precision are insufficient
Solution Approach 1:
The patent introduces an automotive data analytics engine as an intermediary component between existing automotive management systems and decision-making processes. This engine aggregates data from multiple sources (dealership information, building footprint, location tracking, car registration) and processes it through specialized models to generate accurate conversion rates, thereby improving measurement precision without requiring complete system replacement
Solution Approach 2:
The data analytics engine is segmented into distinct functional modules: data aggregation layer, data processing layer with specialized models, and output generation layer. This segmentation allows each component to be optimized independently while maintaining overall system manageability and reducing complexity through modular architecture
2Loss of information
If comprehensive data aggregation is implemented, then data completeness is improved, but data processing complexity increases
Solution Approach 1:
The automotive data analytics engine serves multiple functions simultaneously: it aggregates diverse data types (dealership information, building footprint, location tracking, car registration), processes them through unified data models, and generates various analytics outputs including conversion rates. This multi-functionality reduces the need for separate specialized systems for each data type
Solution Approach 2:
The patent introduces an automotive data analytics engine as an intermediary component between existing automotive management systems and decision-making processes. This engine aggregates data from multiple sources (dealership information, building footprint, location tracking, car registration) and processes it through specialized models to generate accurate conversion rates, thereby improving measurement precision without requiring complete system replacement
3Measurement precision
If accurate visitor tracking and conversion rate calculation are implemented, then market intelligence quality is improved, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent implements preliminary action by pre-building comprehensive data models that incorporate dealership information, building footprint data, location tracking capabilities, and car registration information before actual conversion rate calculation is needed. This preparation work is done in advance to enable accurate real-time or near-real-time conversion rate measurement without complex implementation during operation
Solution Approach 2:
The patent introduces an automotive data analytics engine as an intermediary component between existing automotive management systems and decision-making processes. This engine aggregates data from multiple sources (dealership information, building footprint, location tracking, car registration) and processes it through specialized models to generate accurate conversion rates, thereby improving measurement precision without requiring complete system replacement
Data Source
AI summary
Methods, systems, and computer storage media for providing an automotive data analytics service associated with an automotive data analytics engine in an automotive data analytics system. The automotive data analytics service is provided via an automotive data analytics engine (i.e., an automotive market intelligence engine) that includes a conversion rate engine to generate conversion rates for different car dealerships. A conversion rate is based on a number of visitors to a car dealership location who are inferred to have bought cars from the car dealership location. The automotive data analytics engine supports: aggregating different types of automotive data analytics data; using an automotive data computation engine—having an automotive data analytics model—to process the data; calculating a conversion rate for different types of car dealerships; and generating automotive data analytics results data—including the conversion rate—that is provided for display on a graphical user interface.