KR-20260063745-A - PURCHASE STRATEGY ALGORITHM SYSTEM USING FRESH FOOD PRICE ANALYSIS

Abstract

One embodiment of the present disclosure provides a purchasing strategy algorithm system using fresh food price analysis. The system includes a price data collection module that collects fresh food price data from a public institution server, a price analysis module that analyzes the price data, a price prediction module that predicts future prices in response to the price analysis, a purchasing strategy algorithm module that sets a purchasing strategy for the fresh food in response to the prices predicted by the price prediction module, and a user-customized purchasing recommendation module that recommends a purchase to a user in response to the purchasing strategy.

Inventors

• 최종석

Assignees

• 주식회사 디어니언

Dates

Publication Date

20260507

Application Date

20241031

Claims (1)

1. In a purchasing strategy algorithm system using fresh food price analysis, A price data collection module that collects fresh food price data from a public institution server; A market price analysis module that analyzes the above market price data; A price prediction module that predicts future prices in response to the above price analysis; A purchase strategy algorithm module that sets a purchase strategy for the fresh food in response to the market price predicted by the above market price prediction module; and A purchasing strategy algorithm system using fresh food price analysis, comprising a user-customized purchase recommendation module that recommends a purchase to a user terminal in response to the above purchasing strategy.

Description

PURCHASE STRATEGY ALGORITHM SYSTEM USING FRESH FOOD PRICE ANALYSIS The present invention relates to a purchasing strategy algorithm system using fresh food price analysis, and more specifically, to an algorithm-based system that automatically derives an optimal purchasing strategy by analyzing fresh food price fluctuation data. Fresh foods, such as agricultural products, vary in the types of crops grown depending on the region and farm. These crops are distributed through various channels, and market prices fluctuate continuously depending on crop yield, cultivation date, and distribution date. Traditionally, fresh food products were purchased at a price deemed appropriate by checking the market price of previous years or by predicting the market price based on the timing of purchase. However, this purchasing method has the problem that it results in losses because the products are purchased at a price higher than the actual selling price. Accordingly, there is a growing need for algorithm-based systems that use AI to analyze market price fluctuation data for fresh food, predict prices based on the analysis results, and automatically derive optimal purchasing strategies. FIG. 1 is a diagram showing a purchasing strategy algorithm system using fresh food price analysis according to one embodiment of the present invention. Figure 2 is a detailed diagram showing the server of the purchasing strategy algorithm system using fresh food price analysis shown in Figure 1. FIG. 3 is a diagram illustrating a purchasing strategy algorithm using fresh food price analysis according to one embodiment of the present invention. The present disclosure will be described in detail below with reference to the attached drawings. However, the present disclosure may be implemented in various different forms and is not limited to the embodiments described herein. Furthermore, the attached drawings are intended only to facilitate understanding of the embodiments disclosed herein, and the technical concept disclosed herein is not limited by the attached drawings. All terms used herein, including technical and scientific terms, should be interpreted in the sense generally understood by those skilled in the art to which the present disclosure pertains. Terms defined in advance should be interpreted as having additional meanings consistent with relevant technical literature and the present disclosure, and should not be interpreted in a highly ideal or restrictive sense unless otherwise defined. In order to clearly explain the invention in the drawings, parts unrelated to the explanation have been omitted, and the size, form, and shape of each component shown in the drawings may be varied. Throughout the specification, identical or similar parts are denoted by identical or similar reference numerals. Throughout the specification, when it is stated that a part is "connected (connected, contacted, or coupled)" to another part, this includes not only cases where they are "directly connected (connected, contacted, or coupled)," but also cases where they are "indirectly connected (connected, contacted, or coupled)" with other members interposed therebetween. Furthermore, when it is stated that a part "includes (provides, or provides)" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but rather allows for additional "included (provided, or provided)" of other components. In this specification, the term "part" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. Additionally, one unit may be realized using two or more pieces of hardware, and two or more units may be realized by one piece of hardware. Meanwhile, "part" is not limited to software or hardware, and "part" may be configured to reside in an addressable storage medium or configured to run on one or more processors. Accordingly, as an example, "part" includes components such as software components, object-oriented software components, class components, and task components, as well as processes, functions, attributes, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. The functions provided within the components and "parts" may be combined into a smaller number of components and "parts" or further separated into additional components and "parts." In addition, the components and '~parts' may be implemented to play one or more CPUs within the device or secure multimedia card. In the following description, suffixes such as "module" and "part" for components are assigned or used interchangeably solely for the ease of drafting the specification, and do not inherently possess distinct meanings or roles. Furthermore, in describing the embodiments disclosed in this specification, detailed descriptions of related prior art have been omitted where it is determined that such detailed de