POS Integration Platform Linking Sales and Social Data
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Solution Overview
Problem
Current Point of Sale (POS) systems and search methodologies inefficiently use computing resources, generating non-optimal search results for users and merchants due to the inclusion of product and service variations, leading to excessive data sifting and computational intensity.
Innovation Solution
A computer-implemented POS integration platform that links POS data with social media data to generate rule-based instructions, allowing for precise product searches and dynamic price adjustments, reducing computational requirements by integrating data structures and presenting relevant results directly to users and merchants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional search engines are used to search for products and services, then users and merchants can access product information from multiple sources, but the search results include excessive product variations and require significant computing resources to sift through
Solution Approach 1:
The patent extracts and integrates only the necessary data elements from POS systems and social media platforms into a unified data structure, eliminating unnecessary product variations and focusing on relevant information. This extraction principle resolves the contradiction by removing extraneous data while preserving essential product information, thereby improving search efficiency without sacrificing information accuracy.
Solution Approach 2:
The patent segments the integrated data structure into specific product categories and attributes, allowing for targeted searches of exact products rather than browsing through all variations. This segmentation enables users and merchants to efficiently locate specific products while maintaining comprehensive product information, thus resolving the contradiction between search efficiency and information accuracy.
2Loss of information
If comprehensive product data is collected from multiple sources, then more complete product information is available, but computational resources and network bandwidth are excessively consumed
Solution Approach 1:
The patent merges data from POS systems and social media platforms into a single integrated data structure that eliminates redundancy and consolidates information. This merging reduces the total computational resources required to process and store product data while maintaining data completeness, as the unified structure avoids duplicate processing of the same information across multiple sources.
Solution Approach 2:
The integrated data structure serves multiple functions simultaneously: it stores product information, tracks sales data, and incorporates social media feedback. This multi-functionality reduces the need for separate data collection and processing systems, thereby decreasing overall computing resource consumption while maintaining comprehensive product data.
3Adaptability or versatility
If traditional search methodologies are used, then all product variations are included in search results, but users and merchants must sift through excessive data to find relevant information
Solution Approach 1:
The patent applies local quality by organizing the integrated data structure with specific product attributes and categories at different levels, allowing users and merchants to access exactly the product information they need without navigating through unrelated variations. This localized organization maintains comprehensive product coverage while significantly reducing the effort required to find relevant information.
4Extent of automation
If real-time data integration is implemented, then product features can be dynamically adjusted based on current data, but system complexity and processing requirements increase
Solution Approach 1:
The patent implements self-service through rule-based instructions that automatically adjust product features based on integrated data from POS and social media sources. The system autonomously processes data and applies pre-defined rules without requiring complex manual intervention or oversight, thereby achieving real-time dynamic adjustment while managing system complexity through automated decision-making algorithms.
Data Source
AI summary
A computer implemented point of sale integration platform may be distinct from a merchant point of sale system. The computer implemented point of sale integration platform has a receiver configured to receive point of sale data from the merchant point of sale system, and social media data from a social media platform. The point of sale data is generated as a result of one or more sales at a physical store of a merchant. Furthermore, the computer implemented point of sale integration platform has a processor configured to link the point of sale data to the social media data to be placed in an integrated merchant point of sale data structure, configured to generate one or more rule-based instructions based on the linkage, and configured to perform an adjustment to a product feature based on the one or more rule-based instructions.