IoT Context Recommendation Using Wearables and Surroundings Data
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Solution Overview
Problem
Conventional tools fail to utilize data from IoT devices like smart glasses and Bluetooth headphones to accurately determine customer context, leading to inadequate product recommendations.
Innovation Solution
A platform and language agnostic context-based recommendation module that uses video/image recognition and natural language processing to predict customer needs by integrating data from IoT devices, generating customer context data, and providing specific product recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional tools are used to provide product recommendations, then the system is simple and easy to operate, but the recommendation accuracy is insufficient because it fails to utilize data from IoT devices
Solution Approach 1:
The patent merges multiple data sources including IoT devices (smart glasses, cameras, Bluetooth headphones), transaction data, and communication metadata into a unified context-based recommendation system. This integration enables comprehensive customer context analysis while maintaining manageable system architecture through modular design
Solution Approach 2:
The recommendation system is designed to handle multiple data types and device protocols universally. It can process video feeds, audio streams, location data, and transaction records through a common processing framework, making the system adaptable to various IoT devices without requiring device-specific implementations
2Measurement precision
If more IoT devices and data sources are integrated to improve context understanding, then the recommendation accuracy improves, but the data processing complexity increases
Solution Approach 1:
The data processing pipeline is segmented into distinct stages: data collection from multiple IoT devices, data validation and cleaning, context analysis, and recommendation generation. Each stage handles specific data types and can be optimized independently, reducing overall processing complexity while maintaining comprehensive context understanding
Solution Approach 2:
The system introduces intermediate processing layers that act as mediators between raw IoT data and final recommendations. These intermediate layers include context enrichment modules and data normalization services that simplify the processing of complex multi-device data streams into unified customer context representations
3Speed
If real-time data from IoT devices is processed to provide immediate recommendations, then the responsiveness improves, but the computational resources required increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing customer profile data, product information, and historical transaction patterns in optimized databases. This preparation enables rapid query execution during real-time recommendation generation without requiring heavy computational resources for data retrieval and analysis at the moment of recommendation
Data Source
AI summary
Various methods, apparatuses/systems, and media for automatically providing context-based product recommendation are disclosed. A processor establishes a communication link between an application and one or more Internet of Things (IoT) devices wearable by a customer having an account relationship with an institution; receives input data from the IoT devices; assesses surroundings of the customer based on the received input data; generates surroundings data based on the assessed surroundings of the customer; generates customer context data based on the received input data and the surroundings data; implements a classification algorithm to identify products with matching offerings provided by the institution corresponding to the generated customer context data; receives input corresponding to customer consent to receive the identified products; and displays, in response to receiving the customer consent, the identified products onto the application via a predefined communication channel.