POS Data Processing Server for Cross-Format Sales Aggregation

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Solution Overview

Problem

Existing systems struggle to manage and process diverse data formats generated by various entities, such as retail stores and manufacturers, due to differences in data fields and formats, necessitating separate systems for each data system.

Innovation Solution

A POS system that includes a data processing server capable of standardizing and aggregating data from multiple POS terminals, using a preprocessing unit to normalize data formats and a data processing unit to analyze and aggregate data across different data types, enabling unified data management and analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If separate data processing systems are designed for each data system, then data processing can be tailored to specific formats, but system complexity increases and versatility decreases

Engineering Contradiction:
Improvedata format compatibilityVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements a universal data processing server that can handle multiple data formats from different sources (POS terminals, e-commerce platforms, mobile apps) through a single system. The server uses standardized data structures and format conversion capabilities to process diverse data types without requiring separate dedicated systems for each data source, thus achieving versatility while controlling complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent introduces a data processing server as an intermediary between various data sources and the analysis system. This server acts as a mediator that receives data in different formats, converts them to standardized formats, and then processes them uniformly. This intermediary layer isolates the complexity of format conversion from the core processing logic, allowing the system to handle diverse formats without increasing overall system complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If data from multiple POS terminals with different formats is processed individually, then data accuracy is maintained, but processing efficiency decreases

Engineering Contradiction:
Improvedata processing efficiencyVSAvoiddata format consistency
Core Design Contradiction:
ProductivityVSManufacturing precision

Solution Approach 1:

The patent performs preliminary format standardization and data validation at the data processing server before data is passed to the analysis system. By pre-converting all incoming data to a standardized format and performing initial validation, the system avoids the need for format-specific processing during analysis, thereby improving processing efficiency while maintaining data accuracy through upfront quality control.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12354074B2Data processing apparatus
Publication Date: 2025.07.08 TOSHIBA TEC KK
  • US12354074B2 patent drawing
  • US12354074B2 patent drawing
  • US12354074B2 patent drawing

AI summary

A POS system for managing information from POS terminals, includes a first terminal in a first store and generating first information in a first format including data fields each storing data related to an item purchased in a transaction, a second terminal in a second store and generating second information in a second format including data fields each storing data related to an item purchased in a transaction, a store server configured to manage the first and second information, and a management server configured to acquire the first and second information from the store server, when the items indicated in the first and second information are identical, modify the first and second information such that each information includes the same data fields, aggregate the data in the corresponding fields of the first and second information, and transmit the aggregated data to the store server or an external device.