Smart Refrigerator Virtual Cart Auto-Population
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Solution Overview
Problem
Conventional smart refrigerators lack virtual shopping capabilities, requiring users to manually search and populate their virtual shopping carts, which is inconvenient and increases processing requirements.
Innovation Solution
An enhanced smart refrigerator (ESR) with a processor and memory that stores a purchase log, calculates a purchase propensity based on usage patterns, and automatically adds products to a virtual shopping cart if the propensity meets a certain criteria, using a usage pattern component to predict consumer needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the refrigerator automatically analyzes purchase history and calculates purchase propensity to pre-populate the virtual shopping cart, then user convenience and shopping efficiency are improved, but system complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary analysis of purchase history and calculates purchase propensity in advance, automatically pre-populating the virtual shopping cart before the user needs to shop. This eliminates the need for users to manually search and add items, improving ease of operation while the processing is done proactively in the background
Solution Approach 2:
The refrigerator system serves itself by automatically analyzing its own stored purchase log data, calculating purchase propensity using integrated algorithms, and populating the virtual shopping cart without external intervention. The system uses its existing memory and processing capabilities to autonomously perform the shopping assistance function
2Measurement precision
If the system stores detailed purchase logs and analyzes purchase patterns for each product, then purchase prediction accuracy is improved, but memory requirements and data processing load increase
Solution Approach 1:
The system extracts only the essential and relevant features from the purchase log data needed for purchase propensity calculation, such as purchase intervals, frequency, and temporal patterns. By extracting only the necessary data elements rather than processing all raw data, the system achieves accurate purchase prediction while minimizing memory requirements and processing load
Data Source
AI summary
An enhanced smart refrigerator (ESR) for automatically populating a virtual shopping cart is provided. The ESR stores a purchase log including a purchase history of a target product. The ESR determines a current interval between a most recent delivery date and a proposed next delivery date based on the purchase history of the target product, and calculates a purchase propensity for the target product based on the current interval and the purchase history of the target product, and automatically adds the product to the virtual shopping cart for submission to a party for purchase of the target product if the purchase propensity meets a first criteria.