Pet Data Aggregation Platform for Privacy-Cleared Health Profiling

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Solution Overview

Problem

The growing volume of digital data related to pet care makes it difficult to effectively aggregate and link diverse data sets to understand the needs and preferences of pets, hindering personalized healthcare and product recommendations for pet owners.

Innovation Solution

A system and method for aggregating and linking data from disparate sources, including health and location tracking devices, DNA testing services, and point of sale data, while clearing personal identification information and sorting data into relevant datasets to create pet profiles, predict target audiences, and deliver personalized pet product advertisements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If data is collected from multiple disparate sources to improve understanding of pet needs, then the quantity and diversity of data increases, but the complexity of aggregating and linking the data increases

Engineering Contradiction:
Improvedata volumeVSAvoiddata aggregation complexity
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent introduces a data management platform as an intermediary system that collects, aggregates, and links data from multiple disparate sources including pet care products, services, and devices. This platform serves as a mediator between various data sources and analytical systems, handling the complexity of data integration while enabling comprehensive pet care analytics.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If personal identification information is retained in aggregated data, then data accuracy and personalization capability improve, but privacy protection and security requirements worsen

Engineering Contradiction:
Improvedata accuracyVSAvoidprivacy risk
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent extracts and removes personal identification information from aggregated data sets while retaining the ability to provide personalized pet care recommendations. The system separates identifiable personal data from the core analytics, allowing accurate pet care analysis without compromising owner privacy or security requirements.

Inventive Principle:
Principle #2Taking out (Extraction)

3Measurement precision

If data is sorted into multiple datasets based on pet attributes, then the ability to create accurate pet profiles improves, but the time and computational resources required increase

Engineering Contradiction:
Improveprofile accuracyVSAvoiddata processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent segments aggregated data into multiple specialized datasets based on pet attributes such as breed, age, health conditions, and behavioral characteristics. This segmentation enables creation of accurate pet profiles by organizing data into manageable, attribute-specific groups that can be processed efficiently while maintaining high profile accuracy.

Inventive Principle:
Principle #1Segmentation

4Adaptability or versatility

If machine learning algorithms are used to predict target audiences and pet products, then the personalization and relevance of recommendations improve, but the computational complexity and resource requirements increase

Engineering Contradiction:
Improverecommendation personalizationVSAvoidalgorithm complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements machine learning algorithms that automatically analyze aggregated pet data and self-generate personalized recommendations for target audiences and pet products. The system performs self-service analytics, where the algorithms independently identify patterns, predict consumer needs, and generate tailored recommendations without requiring manual intervention, thereby achieving high personalization while managing computational complexity through automated processes.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS12608727B2System, method, and apparatus for data collection and aggregation
Publication Date: 2026.04.21 MARS INC
  • US12608727B2 patent drawing
  • US12608727B2 patent drawing
  • US12608727B2 patent drawing

AI summary

The present disclosure relates to a system, apparatus, or method for meeting a healthcare need of a pet. Certain non-limiting embodiments include collecting data from one or more disparate data sources, and aggregating the collected data from the one or more disparate sources in a data lake. Certain non-limiting embodiments also include clearing personal identification information from the aggregated data in the data lake, and sorting the cleared data into one or more datasets based on one or more attributes of the pet or an owner of the pet. In addition, the certain non-limiting embodiments can include creating a profile of a pet based on the data included in the one or more datasets, and determining a pet product to help fulfill the healthcare need of the pet. Further, certain non-limiting embodiments can include targeting the owner of the pet with an advertisement of the pet product.