Retail Store Notification System for Product Search Precision
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Solution Overview
Problem
Current online interfaces lack the ability to effectively facilitate in-store product selection and notification systems, making it difficult for users to find and purchase products at local retail stores while providing merchants with insights into customer interests and inventory management.
Innovation Solution
A server-based system that accesses product data structures, associates image segments with product descriptions, and generates notifications based on user interactions, allowing users to select search results and track product availability, while providing merchants with analytics on customer behavior and inventory management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image segments are associated with product descriptions to enhance search accuracy, then search result precision is improved, but system complexity increases
Solution Approach 1:
The patent divides images into multiple segments and associates each segment with corresponding product descriptions. This segmentation allows the system to process and match visual and textual data more effectively, improving search precision without requiring the entire image to be processed as a single unit.
Solution Approach 2:
The patent embeds multiple data structures within each other - image segments are nested with product descriptions, which are nested with category information, and all nested within the search result structure. This nesting approach organizes complex data relationships in a manageable hierarchical manner.
2Loss of information
If multiple data structures are integrated to provide comprehensive product information, then information completeness is improved, but data processing complexity increases
Solution Approach 1:
The patent merges multiple data structures (product descriptions, image segments, categories, search results) into a unified information architecture. This integration ensures comprehensive product information is available while using standardized data formats to simplify processing.
Solution Approach 2:
The patent creates a universal data structure that can handle multiple types of information (textual product descriptions, visual image segments, categorical data, search query results) through a common processing framework, reducing the need for separate specialized processing systems.
3Measurement precision
If search results are ordered based on multiple criteria including image segments and classifications, then search result relevance is improved, but sorting and processing time increase
Solution Approach 1:
The patent pre-processes and pre-ranks search results based on image segments and classifications before the final search query is executed. This preliminary action allows the system to have ready-made organized data structures that can be quickly filtered and returned, reducing real-time processing time while maintaining high relevance.
Data Source
AI summary
Systems and methods of the present disclosure can facilitate generating a notification at a retail store. In some embodiments, the system includes a server. The server can be configured to access a data structure, storing product descriptions describing products in a retail store. The server can be configured to select a search result from the product descriptions based on input from a user and associate the selected search result with a user account associated with the user. The server can be configured to generate a notification based on the user account and the search result associated with the user account, and can be configured to display the notification at the retail store.