WO2022097791A1

WO2022097791A1 - System for rfid local food direct-to-consumer (dtc) delivery through iot technology and ai-based direct transaction platform, and method therefor

Info

Publication number: WO2022097791A1
Application number: PCT/KR2020/015521
Authority: WO
Inventors: 강상진; 박준혁; 나희재; 정인호
Original assignee: 농업회사법인 주식회사 에이라이프
Priority date: 2020-11-05
Filing date: 2020-11-06
Publication date: 2022-05-12
Also published as: KR102533677B1; KR20220060829A

Abstract

The present invention relates to a system for manufacturing and selling meal kits in conjunction with a client terminal for interaction with consumers, the system comprising at least one among: a material information collection unit which receives and stores information on materials stored or scheduled to be shipped from one or more storage facilities in a plurality of locations; a material derivation by category unit which converts the stored material information into metadata and stores the metadata by category; a meal kit recipe collection unit which collects and stores recipe data from at least one piece of meal kit information; a meal kit recipe classification processing unit which stores the collected recipe data by classifying the data in a predetermined format; a meal kit menu extraction processing unit which is connected to the material derivation by category processing unit and the meal kit recipe classification processing unit, and extracts meal kit menus corresponding to a predesignated specific condition or a predetermined option; a user-customized data processing unit which extracts sales information on the extracted meal kit menus from the meal kit menu extraction processing unit; a material order by meal kit category management unit which generates material order information required for manufacture by classifying the extracted meal kit menus by category; and a product delivery by meal kit category management unit which generates delivery information by classifying manufactured meal kits by category.

Description

RFID local food direct delivery (DTC) system and method through IOT technology and AI-based direct transaction platform

The research related to this patent was conducted with the support of the agro-food technology convergence creative talent nurturing project (task name: AI-based farm direct transaction automatic ordering system development through IoT smart device, task unique number: 120018-2) under the supervision of the Ministry of Agriculture, Food and Rural Affairs. will be.

The present invention relates to a technology for configuring a platform for a meal kit manufacturer and seller, and more particularly, to a system and method for manufacturing and delivering a meal kit.

Meal kit is a compound word of Meal and Kit, and it is a food that consists of a set of ingredients, seasonings and recipes that are just right for cooking. Although it takes more work than the existing HMR (Home Meal Replacement) that only needs to be heated, it is being chosen by consumers because it can satisfy the psychological demand for home-cooked food and the pleasure of cooking.

A meal kit usually includes a set of meal ingredients and instructions for preparing the meal. A meal kit maker generally operates on a weekly schedule, and the customer selects the desired meal kit for a week, and the meal kit maker packs the selected meal kit and delivers it to the customer.

In the United States, the market was formed in 2012 and has grown rapidly every year, but in Korea, it was first released in 2017 and the market formation was delayed. Although the market formation was delayed, the growth rate of the domestic meal kit market is growing rapidly, surpassing that of the United States. Even in Japan, an increasing number of companies are operating subscription services that deliver recipes and ingredient sets on a regular basis by paying a flat monthly fee.

Recently, due to COVID-19, consumers who lack the elements to enjoy as social distance want to eat at home by directly reproducing the food of a restaurant or a food introduced on a TV show, or single-person households or busy families often eat packed restaurants when making meal plans. find food in

However, although people like home-cooked meals, they often lack the time, energy, or culinary skills needed to constantly plan meals, purchase necessary ingredients, and prepare meals.

Mealkit not only saves customers time and energy spent planning meals and preparing ingredients, but also provides customers with a wide range of new foods and recipes, as well as scalable cooking skills for people who are completely new to cooking.

Recently, popular alternatives that can satisfy this consumer trend are emerging in Korea.

The meal kit products currently sold in the market show only the information of the raw materials used, that is, the type and weight of the ingredients, so the user predicts the taste with only limited information and makes the purchase. They worry about whether it is right, not high fat, high calorie, or not, and this makes it difficult to choose a menu, and most of them choose a food they have experienced before or a similar menu. If the selected menu is not to your liking or you are not satisfied with it, it is unlikely that the consumer will purchase the meal kit again next time along with waste of food waste.

To facilitate the selection of meal kits, most existing meal kit manufacturers provide their customers with a pre-selected menu of options from which they can choose. These meal kit options are offered first to the customer by guessing the season, the availability of ingredients, and what the customer wants. However, there is no method and means for developing various options that users can select, so the meal kit manufacturer has no choice but to produce and sell various products. In addition, if there is an inaccuracy in forecasting the demand for milk kits or excessive production of products, disposal costs may continue to occur to the meal kit manufacturers and sellers due to the characteristics of fresh ingredients with a short shelf life.

Currently, meal kit manufacturers are producing less than expected demand in order to reduce these costs, so they are taking the opportunity cost loss.

Existing literature related to milk kits is about the production of milk kits, and it is about material handling and processing, package manufacturing methods, demand forecasting, and customer taste evaluation collection for menu development.

In addition, the taste of food is largely influenced by the sauce and seasoning rather than the ingredients used in the food, but the existing milk kit related prior literature does not have a means to provide information about the sauce and various options to the user. .

In addition, the method for a meal kit maker or seller to secure profitability is to shorten supply chain steps or routes, minimize inventory, use the minimum number of recipe types and ingredients, or satisfy consumers' changing needs or when they cannot find the recipe they want. If not, there is a high probability that the customer will leave during the service period or terminate the service forever.

[Prior art literature]

(Patent Document 1) Korean Patent Application 20190021059 (Local Food-based 6th Industry Urban-Rural Exchange Experience Tourism Product Provision System and Method, Woosuk University Industry-University Cooperation Foundation)

(Patent Document 2) Republic of Korea Patent 1725339 (Local Food Distribution Management Method and System, Happy ICT Foundation)

(Patent Document 3) Korean Patent Registration 1951157 (Automatic raw material preparation system and method, Youngmo Ma)

(Patent Document 4) US Patent Publication 20190325501 (Meal-Kit Recommendation Engine, RELISH LABS LLC)

(Patent Document 5) US Patent Publication 20180218461 (MEAL-KIT MENU DEVELOPMENT SYSTEM, RELISH LABS LLC)

The technical task of the present invention for solving the above-mentioned problems is to continuously improve the customer's experience and satisfaction of using the meal kit to prevent the waste of time and materials caused by inaccurate prediction of the demand for the meal kit by manufacturing and selling the meal kit To provide a system and an implementation method.

Another object of the present invention is to provide a meal kit manufacturing and sales system and implementation method for improving customer repurchase by separating and managing factors affecting the customer's change of mind.

Another object of the present invention is to provide a milk kit manufacturing and sales system and implementation method for manufacturing a meal kit for more efficiently managing the logistics related to the preparation and sale of the meal kit.

Another object of the present invention is to provide a system and method for manufacturing and selling a meal kit for manufacturing a meal kit that enables distribution of the meal kit based on an unmanned sales floor.

Another object of the present invention is to provide a meal kit manufacturing and sales system and implementation method for manufacturing a meal kit capable of “custom menu change” and “customized product option”.

Another object of the present invention is a system for manufacturing and selling a meal kit that can increase purchase motivation by directly transmitting a comparison of the cost and meal kit purchase price incurred when the consumer purchases all the ingredients individually to the consumer. and an implementation method.

Another object of the present invention is to provide a system and method for manufacturing and selling a meal kit that can provide users with various delivery options, including direct to consumer (DTC).

Another object of the present invention is to provide a system and method for manufacturing and selling a meal kit that can receive fresh materials consumed in a meal kit through a direct transaction through a local food store that sells fresh materials of a local farmhouse.

Another object of the present invention is to provide a system and implementation method for manufacturing and selling a meal kit that enables consumers to purchase food from a famous restaurant at a base regional restaurant without visiting a famous restaurant in accordance with the non-face-to-face consumption trend.

According to one aspect of the present invention for solving the above problems, in a system for manufacturing and selling a meal kit in conjunction with a client terminal for interaction with a consumer, storage or A material information collection unit that receives and stores information on materials to be shipped, a material derivation unit for each category that converts the stored material information into metadata and stores it by category, and at least one meal kit information to collect and store recipe data A meal kit recipe collection unit, a meal kit recipe classification processing unit for classifying and storing the collected recipe data in a predetermined format, a material derivation processing unit for each category, and the meal kit recipe classification processing unit are connected to a predetermined specific condition or dictionary A meal kit menu extraction processing unit for extracting a meal kit menu corresponding to a predetermined option, a user-customized data processing unit for extracting sales information on the extracted meal kit menu from the meal kit menu extraction processing unit, and a category for the extracted meal kit menu It includes at least one of a meal kit category-specific material order management unit for generating material order information required for classifying and manufacturing, and a product delivery management unit for each milk kit category, configured to generate delivery information by classifying the produced meal kits by category.

In addition, the material derivation unit for each category that converts the stored material information into metadata and stores it by category is at least one or two or more of information on shipment date, expiration date, storage location, current price, stock amount, and demand among the stored material information. and calculating, classifying and storing the distance, freshness, and expected price for each of the above ingredients using the combined information.

In addition, the material derivation processing unit for each category, which converts the stored material information into metadata and stores it for each category, assigns different weights to the calculated distance, freshness, and expected price for each category. including deriving

In addition, the sale information includes at least one of available sales time, material information, sales price, and product image for at least one of a meal kit for each category, a meal kit for each food cost, and a meal kit for each purpose.

In addition, the user-customized data processing unit includes calculating and providing an expected purchase cost when the client directly cooks the extracted meal kit menu or the client-selected meal kit.

In addition, the meal kit category-specific material order management unit for generating material order information required to classify and manufacture the extracted meal kit menu by category is based on the information between the plurality of storage and the separately designated manufacturer for each category. and deriving an optimal material acquisition route.

In addition, the product delivery management unit for each category of milk kit that generates delivery information by classifying the produced meal kit by category classifies the client by category and the client and the client from among a plurality of manufacturers who manufacture a meal kit of the corresponding category It involves searching the nearest manufacturer and deriving the optimal direct product delivery route.

In addition, the material information collecting unit measures at least one of the weight, quantity, stocking date, and shipment date of the material in storage, and by giving an address to each sensor information, it includes a sensor having an AIoT function that can be used on various platforms.

On the other hand, in a method for manufacturing and selling a meal kit in conjunction with a client terminal for interaction with a consumer, material information for receiving and storing information about materials to be stored or shipped in at least one storage in a plurality of locations A collecting step, a material derivation processing step for each category of meta-dataizing the stored material information and storing it for each category, a meal kit recipe collecting step of collecting and storing recipe data from at least one piece of meal kit information, and the collected recipe data A meal kit recipe classification processing step of classifying and storing in a predetermined format, and a meal kit menu corresponding to a predetermined specific condition or predetermined option in connection with the material derivation processing unit for each category and the milk kit recipe classification processing unit A user-customized data processing step of extracting sales information for the extracted meal kit menu in the milk kit menu extraction processing step and the milk kit menu extraction processing unit, and ordering materials required to classify and manufacture the extracted meal kit menu by category and at least one of generating information and generating product delivery information required to classify and deliver the produced milk kits by category.

The disclosed technology may have the following effects. However, this does not mean that a specific embodiment should include all of the following effects or only the following effects, so the scope of the disclosed technology should not be understood as being limited thereby.

According to the meal kit manufacturing and sales system and method according to the embodiments of the present invention, it is possible to efficiently produce the developed menu along with the development of menus of various options for the meal kit manufacturer, and the prompt delivery of the produced product to the client You can provide a route.

According to the system and method for manufacturing and selling a meal kit according to embodiments of the present invention, inventory waste is minimized for meal kit manufacturers and sellers, and users are continuously motivated to select a customized menu and meal kit to ensure continuous purchase. By inducing it, it can improve the sustainability of the business.

According to the system and method for manufacturing and selling a meal kit according to embodiments of the present invention, it is possible to improve farm household income by promoting active consumption of farm products through direct trading of fresh ingredients through local food stores.

According to the system and method for manufacturing and selling a meal kit according to embodiments of the present invention, direct delivery between a manufacturer and a client is made possible, thereby making it possible to manufacture and sell a product that meets the various delivery needs of the client.

According to the system and method for manufacturing and selling a meal kit according to embodiments of the present invention, it is possible to safely store fresh ingredients and reduce the management cost of the store by providing a system based on an unmanned sales floor equipped with ICT in the distribution of the meal kit. make it

According to the system and method for manufacturing and selling a meal kit according to embodiments of the present invention, it is possible to manage the freshness of the material by providing a system utilizing RFID in the transport of materials and products related to the production and delivery of the meal kit. .

According to the system and method for manufacturing and selling a meal kit according to embodiments of the present invention, it is possible to activate a local restaurant by providing a system that can convert the food of a famous restaurant into a milk kit and sell it at a restaurant in another area.

According to the meal kit manufacturing and sales system and method according to embodiments of the present invention, it is possible to provide a new business opportunity through a platform suitable for the non-face-to-face consumption market.

1 is a block diagram of a meal kit manufacturing and sales system according to an embodiment of the present invention.

2 is a detailed configuration diagram of an RFID local food direct delivery (DTC) system through a direct transaction platform based on IoT technology and AI according to an embodiment of the present invention.

3A is a table showing metadataization of material information according to an embodiment of the present invention.

3B is a table showing a format for classifying and storing meal kit recipe information according to an embodiment of the present invention.

4 is a diagram illustrating items and methods used to derive materials for each category using information for each material according to an embodiment of the present invention.

5A and 5B are diagrams illustrating a method for classifying a category for each material and a method for assigning a weight to each category according to an embodiment of the present invention.

6 is a diagram illustrating a function of a user-customized data processing unit according to an embodiment of the present invention.

7 is a diagram illustrating a method of calculating an expected material cost and cooking time when a user directly cooks according to an embodiment of the present invention.

8 and 9 are diagrams illustrating a route for obtaining an optimal material and a method for deriving an optimal delivery route for products according to an embodiment of the present invention.

10 is a block diagram of a material information collecting unit according to an embodiment of the present invention.

11 is a flowchart illustrating a method of extracting a meal kit menu and transmitting user-customized data according to an embodiment of the present invention.

12 is a diagram of a user interface showing a part of the configuration of an app for a client terminal according to an embodiment of the present invention.

[Explanation of code]

100: Meal kit manufacturing and sales system

110: Meal kit manufacturer

120: Meal kit seller

130: Direct transaction platform and direct delivery system

131: material information collection unit

131-1: Data Acquisition Device

135: Meal kit menu extraction processing unit

136: user-customized data processing unit

136-1: Meal kit information derivation unit for each service

136-2: Meal kit package information derivation unit by food cost

136-3: Meal kit package information derivation unit by purpose

136-4: Sales information collection unit

136-5: User-customized information transmission unit

137: Material order management department for each meal kit category

137-1: Optimal material acquisition route derivation by category

138: Product delivery management department by meal kit category

140: client terminal

150 : client

160 : Storage DB

170: milk kit DB

180 : client DB

190 : Delivery company DB

Since the present invention can apply various transformations and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to a specific embodiment, it can be understood to include all transformations, equivalents or substitutes included in the spirit and scope of the present invention. In describing the present invention, if it is determined that a detailed description of a related known technology may obscure the gist of the present invention, the detailed description thereof will be omitted.

Terms such as first, second, etc. may be used to describe various elements, but the elements are not limited by the terms. The terms are used only for the purpose of distinguishing one component from another.

The terms used in the present invention are only used to describe specific embodiments, and are not intended to limit the present invention. The terms used in the present invention have been selected as currently widely used general terms as possible while considering the functions in the present invention, but these may vary depending on the intention, precedent, or emergence of new technology of those of ordinary skill in the art. In addition, in a specific case, there is a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the corresponding invention. Therefore, the term used in the present invention should be defined based on the meaning of the term and the overall content of the present invention, rather than the name of a simple term.

The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present invention, terms such as "comprises" or "have" are intended to designate that the features, numbers, steps, operations, components, parts, or combinations thereof described in the specification exist, but one or more other features It should be understood that this does not preclude the existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, and in the description with reference to the accompanying drawings, the same or corresponding components are given the same reference numerals, and the overlapping description thereof will be omitted. do.

1, the milk kit manufacturing and sales system 100 is a direct transaction platform and direct delivery system 130, a client terminal 140, a storage DB 160, a milk kit DB 170, a client DB 180, Includes a delivery company DB (190). Here, the meal kit DB 170 may include recipe information of famous restaurants. The direct transaction platform and direct delivery system 130 provides the meal kit manufacturer 110 with information for developing and manufacturing the meal kit menu, and provides the meal kit seller 120 with sales information on the developed meal kit menu, and the client 150 provides user-customized meal kit information. The direct transaction platform and direct delivery system 130 searches the storage DB 160 and metadataizes information about materials being stored or scheduled to be shipped for each storage. In addition, the direct transaction platform and direct delivery system 130 classifies and stores recipe information for each meal kit according to a specified format through the meal kit DB 170 . After that, the direct transaction platform and direct delivery system 130 provide a method for developing a meal kit menu and direct transaction of materials using metadata-ized information on ingredients and classified and stored recipe information for each meal kit. In addition, a route for direct delivery of products produced by searching the delivery company DB 190 is created between the meal kit manufacturer 110 and the client 150 .

Referring to FIG. 2 , the direct transaction platform and direct delivery system 130 includes a material information collection unit 131 , a material derivation unit for each category 132 , a meal kit recipe classification processing unit 133 , and a meal kit recipe collection unit 134 . , may include a meal kit menu extraction processing unit 135, a user-customized data processing unit 136, a material order management unit for each meal kit category 137, and a product delivery management unit 138 for each meal kit category. The material information collection unit 131 includes information on materials stored or scheduled to be shipped in a plurality of storage DBs 160 (eg, farmhouse DB 161, local food store DB 162, manufacturer DB 163). Search and convert to metadata.

The material derivation unit 132 for each category derives materials for each predetermined category from the metadata-ized material information according to a predetermined criterion.

The meal kit recipe collection unit 134 collects recipe information for each meal kit from the plurality of meal kit DBs 170 , and the meal kit recipe classification processing unit 133 classifies and stores the collected meal kit recipe information in a predetermined format. (For example, it may include the name of each meal kit, the quantity of ingredients, the name of the source, etc.).

In the meal kit menu extraction processing unit 135, the meal kit menu corresponding to each category using the material information metadataized in the material deriving unit 132 for each category and the meal kit recipe information classified and stored in the meal kit recipe classification processing unit 133. derive

The user-customized data processing unit 136 extracts data to be provided to the user by using the derived meal kit menu information, and provides it to the client 150 through the client terminal 140 .

The material order management unit 137 for each meal kit category derives an optimal material acquisition route so that the meal kit manufacturer 110 can classify and produce the meal kit derived from the meal kit menu extraction processing unit 135 by category. It may further include a function provided to (110).

The product delivery management unit 138 for each milk kit category classifies the meal kit manufacturer 110 and the client 150 by category to derive the optimal product delivery route between the meal kit manufacturer 110 and the client 150 within the same category. It may further include a function provided to the meal kit seller (120).

Figure 3a is a table showing the meta-data of material information according to an embodiment of the present invention, Figure 3b is a table showing a format for classifying and storing the meal kit recipe information according to an embodiment of the present invention.

Referring to FIG. 3A , the metadata table of material information includes a material name 301, a quantity 302, a shipping date 303, an expiration date 304, a location 305, It includes information on the current price 306 and the expected price 307 (eg, the price after 1 day), and referring to FIG. 3b , in a table showing a format for classifying and storing the meal kit recipe information, there is a meal kit name (311), required material names (312, 314, 316), quantity or weight (313, 315, 317), source name ID (318), it can be stored as information including the quantity of the source (319).

Referring to FIG. 4 , the method for calculating the distance between locations (1) is used to calculate the distance between the material storage and the target point or the distance between the meal kit manufacturer and the consumer. That is, the longitude and latitude of the storage and target point are used, and when latitude and longitude are given, the distance is calculated using the haversine formula, a method of finding the distance between two points in a sphere shape. For example, it is used to calculate the distance between a pre-determined manufacturer among manufacturers for each category and a store storing necessary materials, or to calculate the distance between a user for each category and a meal kit manufacturer for each category.

(2) The freshness calculation method calculates the current freshness using the shelf life, current date, and production date of the stored material. That is, after calculating the difference between the current date and the production date, the value multiplied by the expiration date is expressed as the 100th percentile. For example, when the minimum value becomes 0 or less, it is converted to a non-sellable state.

(3) The expected price calculation method utilizes the quantity demanded, current inventory, future inventory, and freshness, divides consumer demand forecast data by the sum of current and future inventory, and calculates the estimated price by multiplying the freshness.

Referring to FIG. 5A , Category 1 is a regular meal kit, the production lead time is within 7 days, the freshness of the material is prioritized, and Category 2 is an irregular meal kit, the production lead time is within 3 days and the freshness of the material and distance take precedence, Category 3 is the next-day lowest price meal kit, manufacturing lead time is within 1 day, and the price and distance of material is prioritized. The freshness of the ingredients takes precedence. Referring to FIG. 5B , weights for distance, freshness, and expected price are shown for each category. For example, for the material required for the manufacture of a regular meal kit of category 1, a positive (+) weight is given to freshness among the material-specific information, and a negative (-) weight is given to the distance and expected price, so that the material is above the predetermined reference value. is derived, and in the case of

categories

3 and 4, it is derived from materials with the shortest acquisition time by giving a high negative (-) weight to the distance.

Referring to FIG. 6 , the user-customized data processing unit 136 includes a meal kit information deriving unit 136-1 for each service, a meal kit package information deriving unit 136-2 for each meal cost, and a meal kit package information deriving unit for each purpose ( 136-3), a sales information collection unit 136-4, a user-customized information transmission unit 136-5, and a user information storage unit 136-6.

The service-specific meal kit information derivation unit 136-1 derives service-specific meal kit information 60 (eg, regular meal kit, irregular meal kit, next-day lowest price, next-day premium meal kit information) and sells information It is transmitted to the collection unit 136-4.

The meal kit package information derivation unit 136-2 for each food cost derives the meal kit package information 61 by cost (for example, it may include information about a package of 30,000 won per week, information about a package of 50,000 won per week, etc.) and selling information It is transmitted to the collection unit 136-4.

The meal kit package information derivation unit 136-3 for each purpose may include package information 62 (for example, diet meal 30,000 won package, healthy food 30,000 won package, stored food 30,000 won package information, etc.) ) is derived and transmitted to the sales information collection unit 136-4.

The sale information collection unit 136-4 collects sales information 63 (eg, meal kit information 60 for each service, meal kit package information for each cost 61), and meal kit information 62 for each purpose of the diet. For example, the available time for sale, material information, selling price, product image, and information that the user calculates the cost of ingredients required to cook each meal kit and compares it with the meal kit selling price) is prepared and customized information for the user It is transmitted to the transmission unit 136-5 and the meal kit seller 120.

The user information storage unit 136 - 6 stores the usage information 66 of the client 150 (eg, order history, expected meal cost, meal purpose, delivery cycle, preferred meal plan, etc.) to the client terminal ( 140) to collect and store.

The user-customized information transmission unit 136-5 uses the sales information 63 transmitted from the sales information collection unit 136-4 and the user information 66 transmitted from the user information storage unit 136-6 to Customized information (64) (for example, it may include the lowest price meal kit for the day, the meal kit package by cost, information about the meal kit package by purpose, the selling price and cost comparison when cooking directly, the milk kit production video, the origin of ingredients, etc.) is transmitted to the client 150 through the client terminal 140 . That is, from a manufacturer's point of view, it may be advantageous to develop and sell a product with a high selling price and a high profit structure, but such a product does not guarantee a satisfactory experience for the client 150, and rather, a meal kit with a low profit margin is provided to the client ( 150) may choose and feel a satisfactory experience.

The interface 141 of the client terminal 140 interacts with the client 150 and the requirements 65 of the client 150 (eg, cancellation of delivery, deferment of delivery period, change of delivery date, change of meal purpose, delivery cycle) change, cost change, etc.) is transmitted to the user-customized data processing unit 136 . In other words, the user can select several recipes from the set recipes for a specific period (generally one week) in the meal kit delivery service, and if the user cannot find the desired recipe, the delivery service can be rejected for a specific period, and also , the selected recipe may be provided with a package containing the ingredients in the ratio specified by the user.

Referring to FIG. 7 , in the method of calculating the material cost and cooking time expected when the user cooks directly, first, the execution request of the client 150 is received through the client terminal 140 , and the direct transaction platform and the direct delivery system 130 are sent to the direct delivery system 130 . transmit (step 701).

The direct transaction platform and direct delivery system 130 searches for the corresponding meal kit recipe in the meal kit DB 170 (step 702), obtains the meal kit recipe material through the meal kit DB 170 (step 703), and stores The market price of the corresponding material is searched through the DB 160 (step 704), the market price of the corresponding material is obtained through the storage DB 160 (step 705), and the direct transaction platform and direct delivery system 130 of the corresponding meal kit The estimated material purchase price and cooking time are calculated (step 706), and the calculated expected material purchase price and cooking time of the corresponding meal kit are transmitted to the client terminal 140 (step 707). The client terminal 140 displays the calculated estimated material purchase price and cooking time of the corresponding meal kit (step 708). Meanwhile, the meal kit DB 170 may include recipe information of famous restaurants.

Referring to FIG. 8 , the meal kit manufacturing and sales system 100 according to an embodiment of the present invention is produced by designating a separate manufacturer for each category. For example, the regular meal kit of category 1 and the irregular meal kit of category 2 are produced by the first type manufacturer 810, and the next-day lowest price meal kit of category 3 and the next-day premium meal kit of category 4 are produced by the second type manufacturer (820). will produce To this end, the material order management unit 137 for each meal kit category according to an embodiment of the present invention includes an optimal material acquisition derivation unit 137-1 for each category, and a material order generation unit 137-2 for each category. And, the plurality of category-specific material order generation unit 137-2 is, for example, a category 1 regular meal kit material order generation unit 137-2-1, and a category 1 irregular meal kit material order generation unit 137-2. -2), a category 3 next-day lowest price meal kit material order generation unit 137-2-3, and a category 4 next-day premium meal kit material order generation unit 137-2-4. An optimal material acquisition route between the selected storage and the manufacturer for each type is derived using the plurality of storage DBs 160 (which may include, for example, an unmanned store DB) and the plurality of types of manufacturer 800 information. Here, an AI learning method can be used for an algorithm that selects storage and manufacturer by category and derives an optimal material acquisition route. The optimal material acquisition route information for each category derived from the optimal material acquisition derivation unit 137-1 for each category is transmitted to the material order generation unit 137-2 for each category.

Referring to FIG. 9 , a method for deriving an optimal material acquisition route according to an embodiment of the present invention is shown. The client 150 is classified into, for example, a category 1 milk kit client and a category 2

milk kit client

910 and 920, and the regional manufacturer is a first type manufacturer_1 (810-1) and a second type of the first area. Type Manufacturer_1 (820-1), Type 1 Manufacturer_2 (810-2), Type 1 Manufacturer_3 (810-3) in the second region, Type 2 Manufacturer_2 (820-2), The second type manufacturer_3 (820-3) is classified by category and the method of matching by category is used, while at the same time the type manufacturer by region (810-1, 810-2, 810-3, 820-1, 820-2, 820) is used. -3) and the repositories (161-1, 161-2, 161-3, 162-1, 162-2, 162-3) that store regional materials are used. For example, by searching the distance between the client 901 who has selected category 1 and the first type manufacturers 810-1, 810-2, and 810-3 located in the first and second regions, the optimal product direct delivery route (1) can be derived, and also the first type manufacturers (810-1, 810-2, 810-3) located in the first region and the second region are closest to and necessary to manufacture the product of category 1 The first type manufacturers (810-1, 810-1, 810-2, 810-3) can calculate the optimal material direct transaction route (2) to purchase the material. The optimal material direct transaction route and the optimal product direct delivery route can be derived using AI technology. In addition, by attaching RFID in the material storage to material transfer and product transfer stages, it is possible to manage the freshness by storing the change in the storage temperature that occurs during the transportation of the material or product, and the change in the storage temperature can be displayed and delivered to the user. .

Referring to FIG. 10 , the material information collection unit 131 may include a data collection device 131-1 and a material information storage unit 131-2. Information on materials stored in a plurality of storage DBs 160 (eg, may include an unmanned sales store DB) is stored in the material information storage unit 131-2 through the data collection device 131-1. do. For example, the data collection device 131-1 includes a sensor having an AIoT function, measures at least one of the weight, quantity, stocking date, and shipment date of the stored material, and assigns an address to each sensor information This makes it usable on various service platforms.

Referring to FIG. 11 , the method of extracting the meal kit menu and transmitting the user-customized data first includes the steps of receiving and storing information necessary for developing the meal kit menu from at least one storage in a plurality of locations (S1100), the stored material A step of converting information into metadata and storing it by category (S1110), a step of collecting and storing recipe data from at least one meal kit information (S1120), a step of classifying and storing the collected recipe data in a predetermined format (S1130), Extracting a meal kit menu corresponding to a predetermined specific condition or a predetermined option based on the ingredients for each category and the meal kit recipe (S1140), extracting sales information about the extracted meal kit menu (S1150), extraction and extracting at least one of material order information and product delivery information required to classify and manufacture the meal kit menu by category (S1160).

Referring to FIG. 12 , a selection window 1200 for a user to select the lowest price on the day, a premium meal kit for the day, and

selection windows

1210 and 1220 for specifying options for core materials and additional materials in the meal kit selected by the user. , it may include a display window 1230 for displaying the cost savings by comparing the purchase price of the meal kit with the expected material purchase price when directly cooking the selected meal kit. In addition, a selection window 1240 for selecting the purpose of purchasing the meal kit, and a display window 1250 for providing information on the meal kit that can be purchased at the lowest price on the day from the meal kit for each selected purpose and a purchase cost when cooking directly. can

Claims

In a system for manufacturing and selling meal kits in conjunction with a client terminal for interaction with consumers,

a material information collection unit for receiving and storing information on materials to be stored or shipped in at least one storage in a plurality of locations;

a material deriving unit for each category that converts the stored material information into metadata and stores the stored material information for each category;

a meal kit recipe collecting unit for collecting and storing recipe data from at least one piece of meal kit information;

a meal kit recipe classification processing unit for classifying and storing the collected recipe data in a predetermined format;

a meal kit menu extraction processing unit connected to the category-specific material derivation processing unit and the meal kit recipe classification processing unit to extract a meal kit menu corresponding to a predetermined specific condition or a predetermined option;

a user-customized data processing unit for extracting sales information on the meal kit menu extracted from the meal kit menu extraction processing unit; and

A meal kit category-specific material order management unit for generating material order information required to classify and manufacture the extracted meal kit menu by category, and a meal kit category-specific product for classifying the produced meal kits by category to generate delivery information A meal kit manufacturing and sales system comprising at least one of a delivery management unit.
According to claim 1,

A material derivation unit for each category that converts the stored material information into metadata and stores it by category

Calculating the distance, freshness, and expected price for each of the materials by using information that combines at least one or two or more of information on shipment date, expiration date, storage location, current price, inventory, and demand among the stored material information Meal kit manufacturing and sales system, including sorting and storing by
According to any one of claims 1 to 2,

The material derivation processing unit for each category that converts the stored material information into metadata and stores it by category

Meal kit manufacturing and sales system comprising deriving a material corresponding to a predetermined condition for each category by giving different weights to the calculated distance, freshness, and expected price for each category.
According to claim 1,

The sale information is a meal kit manufacturing and sales system including at least one of a sale time, material information, a selling price, and a product image for at least one of a meal kit by category, a meal kit package by food cost, and a meal kit package by purpose.
According to claim 1,

and wherein the user-customized data processing unit calculates and provides an expected purchase cost when the client cooks the extracted meal kit menu or the client-selected meal kit.
According to claim 1,

A material order management unit for each category of meal kits for generating material order information required to classify the extracted meal kit menu by category

and deriving an optimal material acquisition route for each category based on information between the plurality of repositories and manufacturers separately designated for each category.
According to claim 1,

The product delivery management unit for each milk kit category, which creates delivery information by classifying the produced milk kits by category

A system for manufacturing and selling a meal kit comprising classifying a client by the category and deriving an optimal product direct delivery route by searching for a manufacturer closest to the client among a plurality of manufacturers for which the client manufactures a meal kit of the corresponding category.
According to claim 1,

The material information collection unit

Measures at least one of the temperature, weight, quantity, stocking date, and shipment date of the material being stored, and by assigning an address to each sensor information, manufacturing and selling a meal kit including a sensor with AIoT function that can be used in various service platforms system.
In a method for manufacturing and selling a meal kit in conjunction with a client terminal for interaction with a consumer,

a material information collection step of receiving and storing information on materials to be stored or shipped in at least one storage in a plurality of locations;

a material derivation processing step for each category of converting the stored material information into metadata and storing the stored material information for each category;

A meal kit recipe collecting step of collecting and storing recipe data from at least one piece of meal kit information;

a meal kit recipe classification processing step of classifying and storing the collected recipe data in a predetermined format;

A meal kit menu extraction processing step of extracting a meal kit menu corresponding to a predetermined specific condition or a predetermined option based on the metadata stored by category and the stored material information by category and the meal kit recipe data stored by classifying into the predetermined format;

a user-customized data processing step of extracting sales information on the extracted meal kit menu from the meal kit menu extraction processing unit; and

Wheat comprising at least one of a step of classifying the extracted meal kit menu by category and generating material order information required for manufacturing, and a step of generating product delivery information required for classifying and shipping the produced meal kit by category How to make and sell kits.
10. The method of claim 9,

The material derivation processing step for each category of storing the stored material information as metadata by category is

Calculating the distance, freshness, and expected price for each of the materials by using information that combines at least one or two or more of information on shipment date, expiration date, storage location, current price, inventory, and demand among the stored material information A method of manufacturing and selling a meal kit, comprising the step of classifying and storing it.
11. The method according to any one of claims 9 to 10,

The material derivation processing step for each category of storing the stored material information as metadata by category is

and deriving materials corresponding to predetermined conditions for each category by giving different weights to the calculated distance, freshness, and expected price for each category.
10. The method of claim 9,

The sale information includes at least one of a sale time, material information, a selling price, and a product image for at least one of a meal kit by category, a meal kit package by food cost, and a meal kit package by purpose.
10. The method of claim 9,

The method of manufacturing and selling a meal kit, wherein the processing of the user-customized data includes calculating and providing an expected purchase cost when the client cooks the extracted meal kit menu or the client-selected meal kit.
10. The method of claim 9,

The step of classifying the extracted meal kit menu by category and generating material order information required for manufacturing is

and deriving an optimal material acquisition route for each category based on information between the plurality of repositories and separately designated manufacturers for each category.
10. The method of claim 9,

The step of generating product delivery information required to classify the produced meal kits by category and ship them is

Classifying clients by category and deriving an optimal product direct delivery route by searching for a manufacturer closest to the client from among a plurality of manufacturers who manufacture a meal kit of the category corresponding to the client Way.