KR-20260063747-A - METHOD AND SYSTEM FOR PERSONALIZED FRESH PRODUCE RECOMMENDATION FOR RESTAURANT

Abstract

One embodiment of the present disclosure provides a method for recommending the purchase of fresh food tailored to a restaurant business. The method comprises the steps of: receiving items of food ingredients used by the restaurant business, daily consumption, and menu composition from a restaurant business terminal; calculating the items of food ingredients required for each menu included in the menu composition from the items of food ingredients, daily consumption, and menu composition; classifying fresh food among the items of food ingredients; and providing a list of fresh food, the optimal price of each fresh food included in the list of fresh food, and the sum of the optimal prices to the restaurant business terminal.

Inventors

• 최종석

Assignees

• 주식회사 디어니언

Dates

Publication Date

20260507

Application Date

20241031

Claims (1)

1. Regarding customized fresh food purchase recommendation methods for food service businesses, a) receiving the items of food ingredients used by the restaurant, daily consumption, and menu composition from the restaurant terminal; b) a step of calculating the items of the food ingredients required for each menu included in the menu composition from the items, daily consumption, and menu composition of the food ingredients; and c) a method for recommending the purchase of fresh food customized for a restaurant, comprising the step of classifying fresh food among the items of the above food ingredients, and providing a list of fresh food, the optimal price of each fresh food included in the list of fresh food, and the sum of the optimal prices to the restaurant terminal.

Description

Method and System for Personalized Fresh Product Recommendation for Restaurants The present invention relates to a customized fresh food purchase recommendation system for food service businesses, and more specifically, to a technology that analyzes the menu composition and consumption patterns of food service businesses and recommends the optimal fresh food purchase tailored thereto. The restaurant industry, which had been stagnant due to COVID-19, is growing back to its previous levels following the declaration of the end of the pandemic. Since agricultural products are the most frequently used ingredients in the food service industry, the proportion spent on purchasing agricultural products is also the highest. These crops are transported to auction houses through various channels, where numerous wholesalers or retailers purchase them via auction. At this time, the auction price is determined based on the quantity and freshness of the crops on that day. Traditionally, buyers would set the auction price and participate in the auction based on the timing of purchase, the freshness, and the quantity of seasonal produce. However, this purchasing method has a problem in that the auction price is set too high due to insufficient information, resulting in purchases being made at a price higher than the actual market price and consequently incurring financial losses. Accordingly, there is an increasing need for technology that recommends appropriate purchasing times and prices by comprehensively analyzing agricultural product auction status and environmental variables. FIG. 1 is a diagram showing a food service business-customized fresh food purchase recommendation system according to one embodiment of the present invention. Figure 2 is a detailed drawing of a food service customized fresh food purchase recommendation device illustrated in Figure 1. FIG. 3 is a diagram illustrating the conditions for recommending the purchase of fresh food customized for a restaurant business according to one embodiment of the present invention. FIG. 4 is a flowchart illustrating the sequence of a method for recommending the purchase of fresh food tailored to a restaurant business according to another 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 compon