Household Characteristic Inference Using a Universal Developmental Scale
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Solution Overview
Problem
Current online shopping platforms fail to accurately identify the number and ages of juvenile members in a customer's household, leading to ineffective marketing recommendations due to disparate product and service scales associated with developmental stages, hindering personalized shopping experiences and revenue potential.
Innovation Solution
A system and method that utilizes a universal developmental scale to associate age-dependent products with Gaussian Mixture Modeling and multivariate kernel density estimation to predict the ages and number of juvenile members, enabling tailored product recommendations based on customer engagements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If disparate product scales and attributes are used to represent age and developmental stages, then product categorization and marketing can be simplified, but the accuracy of age identification and personalized recommendations deteriorates
Solution Approach 1:
The patent applies universality by creating a universal developmental scale that serves as a common reference framework across all product categories. This scale translates disparate age representations from different products (diaper sizes, toy age ranges, food stages) into a unified developmental stage classification, enabling consistent age identification while maintaining product-specific categorization benefits
2Adaptability or versatility
If multiple disparate scales are used for different product types, then each product can be optimized for its specific market, but the ability to make accurate cross-product age predictions deteriorates
Solution Approach 1:
The universal developmental scale acts as an intermediary layer between product-specific age representations and the customer's actual age. Each product type maintains its own scale (diaper sizes, toy age ranges), but these scales are mapped to the universal scale which then provides a consistent basis for age prediction across all product categories, resolving the contradiction between product optimization and prediction reliability
3Measurement precision
If a universal developmental scale is implemented, then age identification accuracy and recommendation effectiveness improve, but system complexity and data processing requirements increase
Solution Approach 1:
The system performs preliminary action by pre-establishing the universal developmental scale and pre-mapping product attributes to this scale during the product catalog setup phase. This preliminary work stores the translation rules and mappings in the system database, so that during actual age prediction, the system only needs to query pre-computed mappings rather than performing complex real-time calculations, thereby reducing operational complexity
Data Source
AI summary
A system and method for recommending products based on characteristics of a customer's household. The system and method associates age dependent products with developmental stages on a universal developmental scale and determines a subset of age dependent products based on prior engagements by the customer's household. Using the development stages associated with the subset of age dependent products characteristics of the customer's household may determine specifically the number and ages of juveniles in the customer's household. Performing Gaussian mixture model or multivariate kernel density estimation on the developmental stages associated with the engagements of customer's household, the age(s) and number of juveniles respectively may be determined and recommendations of products and services to the customer or customer's household based upon these characteristics may be advantageously made.