KR20230076391A - System and method for direct transaction of artificial intelligence-based food materials wholesale - Google Patents

Abstract

In accordance with an embodiment of the present invention, the artificial intelligence-based wholesale direct transaction system for food materials is a restaurant terminal for purchasing food materials using an AI wholesale market direct transaction platform, comparing the price of purchased food materials, and requesting comparison and search of prices of food materials from companies to be purchased. ; A wholesale market middleman terminal that provides inventory and price lists of food materials using the AI wholesale market direct transaction platform and delivers food materials; and a food material order form according to food material order information of the restaurant terminal to a wholesaler terminal that provides a result of comparing food material prices among affiliated wholesalers according to the price comparison request of the restaurant terminal, and is sold at the food material price designated by the restaurant terminal. Includes a platform operation management server that automatically creates and provides

Description

System and method for direct transaction of artificial intelligence-based food materials wholesale}

The present invention relates to an artificial intelligence-based wholesale direct transaction system and method for food materials.

Recently, keywords that have been attracting attention in the information technology (IT) field can be called cloud and big data. The cloud is changing the user's use environment from the existing restrictive situation to a free one. From the standpoint of a company, the cloud enables customers to collect dispersed customer information into a single storage space, and data that has been abandoned in the meantime is gathered and reborn as big data that can be used for efficient marketing according to analysis criteria.

Big data has evolved into various databases that store customer consumption pattern information and life pattern information, and are being used as data for CRM, marketing, and commercial district analysis in various industries.

In the global market, interest in big data is increasing across industries, and the fields of its application are also diversifying. Globally, open markets and advertising products are being upgraded based on big data, and domestically, there is a trend of using big data to strengthen CRM and products.

On the other hand, for all routes A, B, and C, the price is not the same even for the same item of food material, and the distributor adjusts the price according to the restaurant, so even if the distribution stage is short, there are cases where it is more expensive.

Even when dealing directly with distributors, it is not cheap due to differences in prices between companies, and it is difficult to measure the proper purchase price because distributors do not disclose the purchase price of food materials at all. For this reason, there is a problem in that restaurants have to place orders individually to compare prices among distributors.

Publication No. 10-2014-0107716 (published on September 5, 2014)

The problem to be solved by the present invention is to provide an artificial intelligence-based food material wholesale direct transaction system and method that can solve the conventional problems.

In order to solve the above problems, the artificial intelligence-based food material wholesale direct transaction system according to an embodiment of the present invention purchases food materials using an AI wholesale market direct transaction platform, compares the prices of purchased food materials, and compares the prices of food materials from companies to be purchased. A restaurant terminal requesting comparison search; A wholesale market middleman terminal that provides inventory and price lists of food materials using the AI wholesale market direct transaction platform and delivers food materials; and a food material order form according to food material order information of the restaurant terminal to a wholesaler terminal that provides a result of comparing food material prices among affiliated wholesalers according to the price comparison request of the restaurant terminal, and is sold at the food material price designated by the restaurant terminal. Includes a platform operation management server that automatically creates and provides

In order to solve the above problems, an artificial intelligence-based food material wholesale direct transaction method according to an embodiment of the present invention purchases food materials using an AI wholesale market direct transaction platform at a restaurant terminal, compares the prices of purchased food materials, and compares the prices of purchased food materials and purchases food materials from companies to be purchased. Requesting a price comparison search; providing a result of comparing food material prices provided by affiliated wholesale market brokers in response to a price comparison request from the restaurant terminal; and when the restaurant terminal requests food material ordering, automatically generating and providing a food material order form according to food material order information requested by the restaurant terminal to a wholesale market middleman terminal sold at a food material price designated by the restaurant terminal.

Using the artificial intelligence-based wholesale direct transaction system and method for food materials according to an embodiment of the present invention, a restaurant can directly view a list of food ingredients and request direct ordering and ordering through a mobile device, or can check food material consumption patterns regularly consumed in a restaurant. It provides the advantage of being able to analyze and automatically support food material ordering services according to the analyzed consumption patterns.

In addition, it is possible to easily classify the order form according to region and item by linking product group information according to order details, and by presenting the standard price of market price that fluctuates according to external factors such as weather and season, the advantage of guaranteeing the middleman's selling price margin rate provides

1 is a network configuration diagram of an artificial intelligence-based food material wholesale direct transaction system according to an embodiment of the present invention.
FIG. 2 is a detailed configuration diagram of the food materials wholesale direct transaction platform server shown in FIG. 1 .
FIG. 3 is a detailed configuration diagram of the price determination unit shown in FIG. 2 .
4 is an exemplary view of the AI food materials wholesale direct transaction platform presented in the present invention.
5 is a detailed configuration diagram of the database unit shown in FIG. 2 .
6 is a flowchart illustrating an artificial intelligence-based food material wholesale direct transaction method according to an embodiment of the present invention.
7 illustrates an example computing environment in which one or more embodiments set forth herein may be implemented.

Hereinafter, embodiments of the present invention will be described in detail so that those skilled in the art can easily practice the present invention with reference to the accompanying drawings. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is said to be "connected" to another part, this includes not only the case where it is "directly connected" but also the case where it is "electrically connected" with another element interposed therebetween. . In addition, when a part "includes" a certain component, this means that it may further include other components, not excluding other components, unless otherwise stated, and one or more other characteristics. However, it should be understood that it does not preclude the possibility of existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

As used throughout the specification, the terms "about", "substantially", etc., are used at or approximating that value when manufacturing and material tolerances inherent in the stated meaning are given, and do not convey an understanding of the present invention. Accurate or absolute figures are used to help prevent exploitation by unscrupulous infringers of the disclosed disclosure. The term "step of (doing)" or "step of" as used throughout the specification of the present invention does not mean "step for".

In this specification, a "unit" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. Further, one unit may be realized using two or more hardware, and two or more units may be realized by one hardware.

In this specification, some of the operations or functions described as being performed by a terminal, device, or device may be performed instead by a server connected to the terminal, device, or device. Likewise, some of the operations or functions described as being performed by the server may also be performed by a terminal, apparatus, or device connected to the server.

In this specification, some of the operations or functions described as mapping or matching with the terminal mean mapping or matching the terminal's unique number or personal identification information, which is the terminal's identifying data. can be interpreted as

Hereinafter, based on the accompanying drawings, an artificial intelligence-based food material wholesale direct transaction system and method according to an embodiment of the present invention will be described in more detail.

1 is a network configuration diagram of an artificial intelligence-based food materials wholesale direct transaction system according to an embodiment of the present invention, FIG. 2 is a detailed configuration diagram of the food materials wholesale direct transaction platform server shown in FIG. 1, and FIG. A detailed configuration diagram of the illustrated market price determination unit, FIG. 4 is an exemplary diagram of the AI food materials wholesale direct transaction platform presented in the present invention, and FIG. 5 is a detailed configuration diagram of the database unit shown in FIG.

First, as shown in FIG. 1, the artificial intelligence-based wholesale direct transaction system 100 according to an embodiment of the present invention includes a restaurant terminal 110, a wholesale market broker terminal 120, and a wholesale direct transaction platform server 130. ), and each component communicates over a network.

Here, the network means a connection structure capable of exchanging information between each node, such as a plurality of terminals and servers, and examples of such networks include RF, 3rd Generation Partnership Project (3GPP) network, Long Term LTE Evolution) network, 5GPP (5rd Generation Partnership Project) network, WIMAX (World Interoperability for Microwave Access) network, Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network) , PAN (Personal Area Network), Bluetooth (Bluetooth) network, NFC network, satellite broadcasting network, analog broadcasting network, DMB (Digital Multimedia Broadcasting) network, etc. are included, but are not limited thereto.

In the following, the term at least one is defined as a term including singular and plural, and even if at least one term does not exist, each component may exist in singular or plural, and may mean singular or plural. It will be self-evident. In addition, the singular or plural number of each component may be changed according to embodiments.

The restaurant terminal 1100 is a terminal that purchases food materials using an AI wholesale market direct transaction platform linked with the wholesale direct transaction platform server 130 to be described later, or compares the prices of purchased food materials and requests comparison and search of prices of food materials from companies to be purchased. can be

In addition, the restaurant terminal 110 may be a terminal requesting comparison with prices of food materials purchased at a restaurant terminal of the same type through a food material purchase slip.

In addition, the restaurant terminal 110 It may be a terminal requesting an automatic food order order using the AI food materials wholesale direct transaction platform 10.

Here, in the case of the food material automatic ordering form, it may be information for automatically ordering the quantity of food material to be consumed in units of days of the week based on learning information obtained by learning the food material purchase (consumption) pattern of the restaurant terminal that purchased the food material for a predetermined period.

In addition, in the case of the food material automatic ordering form, a wholesale market broker terminal providing a food material price that meets the food material standard market price predicted by the wholesale direct transaction platform server 130 described later is extracted and the food material automatic ordering form is provided to the extracted wholesale market broker terminal. do.

In addition, the restaurant terminal 110 It may be a terminal that receives consumption expenditure details such as the purchase quantity of food materials purchased on a weekly, monthly, or unit basis using the AI wholesale market direct transaction platform 10, consumption patterns for each food material, and purchase amount of food materials.

Next, the wholesale market middleman terminal 120 uses the AI wholesale market direct transaction platform to provide the stock amount and price list of food materials, and to supply food materials according to the food material purchase order placed in the wholesale direct transaction platform server 130 to be described later. It may be a terminal of an intermediary.

The wholesale market broker terminal 120 may be a terminal that receives a price adjustment request from the wholesale direct transaction platform server 130 when the selling price of food materials registered for each day is higher than the reference price presented by the wholesale direct transaction platform server 130 described later.

The wholesale market middleman terminal 120 may be a terminal that provides information on food materials shipped to and sold in the wholesale market.

Here, the information on the food material may be information including the quantity of food material, the date of arrival, expiration date, country of origin information, recipe information using the food material, and the like.

In addition, information on food materials may include origin distribution information and wholesale distribution information, and origin distribution information includes producer or production group identifier, producer name or group name, producer address, producer phone number, item code, cultivation area, harvest Time, harvest area, yield, distribution crop identifier, time of shipment, shipper number, business body number, vendor identifier, vendor, vendor phone number, shipment amount, traceability number, certification number, and inventory storage amount, and wholesale distribution Information includes distribution organization identifier, distribution organization name, distribution organization address, distribution organization phone number, distribution crop identifier, warehousing date, shipper identifier, shipper number, shipper name, shipper phone number, warehousing quantity, traceability management number, certification number, It may be information including a delivery date, a shipper number, a vendor identifier, a vendor name, a vendor phone number, a shipment quantity, price information, a traceability management number, an authentication number, and an inventory quantity.

Here, the terminals 110 and 120 may be implemented as a computer capable of accessing a remote server or terminal through a network. Here, the computer may include, for example, a laptop, a desktop, a laptop, and the like equipped with a navigation system and a web browser. At this time, the rental terminal 100 may be implemented as a terminal capable of accessing a remote server or terminal through a network. The lessee terminal 200 is, for example, a wireless communication device that ensures portability and mobility, and includes navigation, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Communication System) Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (WCode Division Multiple Access), Wibro (Wireless Broadband Internet) terminal, smartphone It may include all kinds of handheld-based wireless communication devices such as a smartphone, a smart pad, and a tablet PC.

Next, the wholesale direct transaction platform server 130 provides a result of comparing food material prices among affiliated wholesalers in response to the price comparison request from the restaurant terminal, and sends the restaurant terminal to the wholesaler terminal selling food materials at the specified price. It may be configured to automatically generate and provide a food material order form according to food material order information of the restaurant terminal.

The wholesale direct transaction platform server 130 analyzes the food material consumption pattern based on food material order information ordered for a predetermined period at the restaurant terminal, and predicts the food material order quantity based on the analyzed food material consumption pattern. Can be configured.

The wholesale direct transaction platform server 130 determines a standard market price based on the selling price of food materials uploaded daily from at least one or more affiliated wholesale market middleman terminals, and generates a food material order form based on the standard market price. It may be configured, Here, the reference market price may be information calculated with a margin ratio of 8:2 to the purchase price of food materials.

The wholesale direct transaction platform server 130 provides a standard market price to the wholesale market middleman terminal, and when the uploaded food material selling price exceeds the standard market price, the wholesale market middleman terminal to the price of the food material selling price according to the standard market price. It may be a configuration requesting coordination.

The wholesale direct transaction platform server 130 predicts food material prices according to weather changes and days of the week, adjusts the food material order date when the predicted price exceeds the standard market price, and sends the wholesale market middleman terminal that provided the order form It may be a configuration requesting the adjustment of

The direct wholesale transaction platform server 130 may be configured to perform price comparison between restaurant terminals based on order slips presented by a plurality of restaurant terminals, and provide the same.

More specifically, the wholesale direct transaction platform server 130 includes an information collection unit 131, food material consumption pattern prediction and analysis unit 132, food material AI automatic ordering unit 133, standard price determination unit 134, price comparison and It includes an adjustment unit 135, a database unit 136 and a platform providing unit 137.

The information collection unit 131 may be configured to collect daily food material purchase information (food material item, purchase price) of affiliated wholesale market brokers. In addition, the information collection unit 131 may be configured to collect food material information for each product consumed in affiliated restaurants. In addition, the information collection unit 131 may be configured to collect auction information, news information, weather information, and statistical information on food materials.

The food material consumption pattern prediction and analysis unit 132 may be configured to analyze the food material consumption pattern based on food material order information ordered for a predetermined period in the restaurant terminal.

The food material AI automatic ordering unit 133 may be configured to automatically generate a food material order form for automatically ordering food materials required by the consumer on a date designated by the consumer based on the customer's food material consumption pattern.

The food material AI automatic order form 133 generates a food material order form based on the predicted food material order quantity based on the analyzed food material consumption pattern.

In addition, the food material AI automatic order form 133 selects a wholesale market broker based on the standard market price for each food material determined by the reference price determination unit 134 to be described later, and sends the customer's food material order form to the selected wholesale market broker terminal 120. generate

For example, the food material AI automatic order form 133 applies the standard market price for each food material item required by the restaurant terminal 110, and selects one of a plurality of affiliated wholesale market brokers based on the sum of the standard market prices for each item. It is possible to generate an order for food materials by selecting and designating the selected wholesale market middleman as the ordering party.

Next, the standard market price determining unit 134 determines the standard market price based on the selling price of each item of food materials sold in the terminal of the wholesale market middleman uploaded daily. Here, the standard market price is calculated as a margin ratio of 8:2 to the purchase price of food materials by wholesale market agents.

That is, the standard market price may be an average value of selling prices suggested by agents in the wholesale market. Meanwhile, the reference market price determining unit 134 may determine each region of the wholesale market.

On the other hand, the reference price determination unit 134 may include an information collection unit 134-1, a supply and demand situation analysis unit 134-2, a market price determination unit 134-3, and a market price feasibility analysis unit 134-4. can

In addition, the reference price determination unit 134 may further include an environmental factor cost calculation unit that converts environmental factors on the day into points and then calculates environmental factor costs obtained by converting the environmental points into costs.

More specifically, the information collection unit 134-1 provides market price information (purchase price, wholesale market price, past market price) of food materials auctioned or traded in the wholesale market by region from at least one wholesale market broker terminal, or purchased locally, environmental factors It may be a component that collects information (weather, anniversary, etc.).

The supply and demand condition analysis unit 134-2 may be configured to predict and analyze the market sales and supply of food materials by region based on market price information and environmental factor information of the planter.

The supply and demand situation analysis unit 134-3 may be configured to compare the amount of food materials supplied directly or indirectly from an auction or between islands and mountains with the amount of the previous day, and predict the amount of sales of the day based on the amount of sales of the previous day.

The market price determination unit 134-3 may be configured to determine (calculate) a standard wholesale market price for each item of food material with a predetermined margin rate based on the environmental factor information as a variable factor, the market price information, and the forecasted value of sales supply and demand for the day.

The market price determination unit 134-3 compares the ratio of the sales forecast for the day to the supply volume (including inventory) for the day with the ratio of the previous day to determine the wholesale market price for the day, and calculates the environmental factor cost by converting the environmental factors into points It may be a configuration calculated by addition and subtraction.

The market price feasibility analysis unit 134-4 analyzes the difference between the sales price presented by the at least one wholesale market middleman terminal and the reference wholesale price, and then analyzes the transaction validity of the wholesale price based on the difference. It can be a configuration that gives results.

The market price feasibility analysis unit 134-4 may provide the wholesale market price, maximum value, minimum value, and fluctuation rate based on each item of food materials compared to past and current days, weeks, months, and years.

Next, the price comparison and adjustment unit 135 may be configured to compare prices of purchased food materials between restaurant terminals based on food order slips presented by a plurality of restaurant terminals.

In addition, the price comparison and adjustment unit 135 provides the standard market price set by the wholesale market broker terminal 120, and when the uploaded food material sales price exceeds the standard market price, the food materials presented to the wholesale market broker terminal It may be a configuration requesting price adjustment of the selling price.

In addition, the price comparison and adjustment unit 135 predicts the price of food materials according to weather changes and days of the week, requests adjustment of the order date for food materials when the predicted price exceeds the standard market price, and provides a purchase order form to the wholesale market middleman terminal 120 ), it may be a configuration that requests adjustment of the date of delivery of food materials.

The database unit 136 may include a sales product DB, a customer DB, a food material DB for each restaurant product, a purchase price DB, a past order information DB, an integrated API information DB, and a POS information DB.

The sales product DB manages and stores food material sales information that can be inquired and purchased on the platform of the present application, the customer DB manages information on affiliated restaurants and wholesale market brokers, and the food material DB by restaurant product stores food material information consumed by affiliated restaurants. , the purchase price DB is a configuration for managing purchase information of food materials purchased for each restaurant terminal, the past order information DB is a configuration for storing and managing food material order information, and the API information integration DB is an AI wholesale direct transaction platform ( 10) is a component for storing and managing information related to execution, and the POS information DB may be a component for registering and managing POS information used in a restaurant terminal.

The platform provider 137 may be configured to provide the AI wholesale direct transaction platform 10 to the restaurant terminal 110 and the wholesale market middleman terminal 120 .

The AI wholesale direct transaction platform 10 includes a user authentication interface 11, an order management interface 12, a payment management interface 13, a chat interface 14, a quote comparison interface 15, and a daily quote inquiry interface 16 , a bill management interface 17 may be included.

The user authentication interface 11 may be an interface that supports a service for identity verification through a card payment number, fingerprint, password, and the like.

The order management interface 12 may be an interface supporting a function for inputting the type, quantity, desired price, delivery date, and the like of food materials to be purchased.

In addition, the order management interface 12 may be an interface that automatically supports a function of ordering food materials by predicting food materials and quantity to be consumed by day and day by analyzing the purchase order for a predetermined period.

Next, the payment management interface 13 may be an interface that interlocks with the order management interface 12 and processes payment for food materials purchase.

Next, the chatting interface 14 may be an interface that supports chatting between restaurants and restaurants, restaurants and wholesale market brokers, and wholesale market brokers and wholesale market brokers.

Next, the quote comparison interface 15 supports a function of comparing and reviewing food material purchase prices used in similar industries based on the food material purchase slip provided by the restaurant terminal 110 .

Next, the daily market price query interface 16 supports a function of querying market prices of food materials purchased in the wholesale market on a daily basis.

Here, the AI wholesale direct transaction platform 10 may include applications, programs, web pages, etc. that are installed or driven in the restaurant terminal 110 and the wholesale market middleman terminal 120 through the network.

Here, the web browser refers to a program that allows users to use World Wide Web (WWW) services, and means a program that receives and displays hypertext described in HTML (hyper text mark-up languge), and, for example, Netscape ), Explorer, Chrome, etc.

In addition, an application means an application on a terminal, and includes, for example, an app executed on a mobile terminal (smart phone). Apps can be downloaded and installed from the application market, a virtual marketplace where mobile content is freely bought and sold.

On the other hand, the wholesale direct transaction platform server 130 refines unstructured data, structured data and semi-structured data included in the stored raw data in order to build big data, meta data Pre-processing including classification can be performed, and analysis including data mining can be performed on the pre-processed data.

In addition, information visualizing the analyzed data may be provided. At this time, data mining is a classification that predicts the class of new data by learning a training data set whose class is known by exploring the inherent relationship between preprocessed data, or clustering that groups data based on similarity without class information ( clustering) can be performed. Of course, various other mining methods may exist, and mining may be performed differently depending on the type of big data to be collected and stored or the type of query to be requested later. Big data constructed in this way may be verified through artificial neural network deep learning or machine learning.

At this time, a convolutional neural network (CNN) structure may be used as the artificial neural network. CNN is a network structure using a convolution layer and is suitable for image processing. because it can In addition, text mining is a technique aimed at extracting and processing useful information from non/semi-structured text data based on natural language processing techniques.

Through text mining technology, it is possible to extract meaningful information from a vast amount of text, identify connections with other information, find categories of text, or obtain results beyond simple information search.

Using this, in the AI wholesale direct transaction service proposed in the present invention, large-capacity language resources and statistical and regular algorithms may be used to analyze the identifier or natural language input as a query and discover hidden information therein.

6 is a flowchart illustrating an artificial intelligence-based food material wholesale direct transaction method according to an embodiment of the present invention.

Referring to FIG. 6, in the artificial intelligence-based food material wholesale direct transaction method (S700) according to an embodiment of the present invention, first, a restaurant terminal uses an AI wholesale market direct transaction platform to purchase food materials, compare the prices of purchased food materials, and When a comparison search request is made for food material prices of companies to be purchased (S710), a result of comparing food material prices provided by affiliated wholesale market brokers is provided (S720) in response to the price comparison request of the restaurant terminal.

The process S710 may include comparing the food material purchase slip provided by the restaurant terminal with food material sales prices suggested by an affiliated wholesale market broker terminal.

Then, when the restaurant terminal 110 requests food material ordering, a food material order form according to the food material order information requested by the restaurant terminal is automatically generated and provided to the wholesale market middleman terminal sold at the food material price designated by the restaurant terminal (S730) process may be included.

The process S730 may include analyzing food material consumption patterns based on food material order information ordered during a predetermined period in the restaurant terminal 110, and predicting food material order quantity based on the analyzed food material consumption pattern.

In addition, the S730 process may include determining a standard market price based on the selling price of food materials uploaded daily from at least one affiliated wholesale market broker terminal, and generating a food material purchase order based on the standard market price. The standard market price may be a market price calculated with a margin ratio of 8:2 to the purchase price of food materials.

The step S730 includes providing a standard market price to the wholesale market broker terminal, and requesting a price adjustment of the food material sales price according to the standard market price to the wholesale market broker terminal when the uploaded food material sales price exceeds the standard market price. can include

In addition, the S730 process predicts the price of food materials according to weather changes and days of the week, adjusts the order date for food materials when the predicted price exceeds the standard market price, and adjusts the delivery date of food materials to the wholesale market broker terminal that provided the order form. It may include a request step.

Therefore, by using the artificial intelligence-based wholesale direct trading system and method for food materials according to an embodiment of the present invention, a restaurant can directly view a list of food materials and request direct ordering and ordering through a mobile device, or consume food materials regularly consumed in a restaurant. It provides the advantage of being able to analyze patterns and automatically support food material ordering services according to the analyzed consumption patterns.

In addition, it is possible to easily classify the order form according to region and item by linking product group information according to order details, and by presenting the standard price of market price that fluctuates according to external factors such as weather and season, the advantage of guaranteeing the middleman's selling price margin rate provides

7 is a diagram illustrating an example computing environment in which one or more embodiments set forth herein may be implemented, an illustration of a system 1000 that includes a computing device 1100 configured to implement one or more embodiments described above. shows For example, computing device 1100 may be a personal computer, server computer, handheld or laptop device, mobile device (mobile phone, personal digital assistant, media player, etc.), multiprocessor system, consumer electronics, mini computer, mainframe computer, distributed computing environments that include any of the foregoing systems or devices; and the like.

Computing device 1100 may include at least one processing unit 1110 and memory 1120 . Here, the processing unit 1110 may include, for example, a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Arrays (FPGA), and the like. and may have a plurality of cores.

The memory 1120 may be volatile memory (eg, RAM, etc.), non-volatile memory (eg, ROM, flash memory, etc.), or a combination thereof. Additionally, computing device 1100 may include additional storage 1130 . Storage 1130 includes, but is not limited to, magnetic storage, optical storage, and the like. The storage 1130 may store computer readable instructions for implementing one or more embodiments disclosed herein, and may also store other computer readable instructions for implementing an operating system, application programs, and the like. Computer readable instructions stored in storage 1130 may be loaded into memory 1120 for execution by processing unit 1110 . Computing device 1100 can also include input device(s) 1140 and output device(s) 1150 .

Here, input device(s) 1140 may include, for example, a keyboard, mouse, pen, voice input device, touch input device, infrared camera, video input device, or any other input device. Output device(s) 1150 may also include, for example, one or more displays, speakers, printers, or any other output devices, or the like. Additionally, computing device 1100 may use an input device or output device included in another computing device as input device(s) 1140 or output device(s) 1150 . Computing device 1100 may also include communication connection(s) 1160 that allow computing device 1100 to communicate with other devices (eg, computing device 1300).

Here, communication connection(s) 1160 may be a modem, network interface card (NIC), integrated network interface, radio frequency transmitter/receiver, infrared port, USB connection, or other device for connecting computing device 1100 to other computing devices. May contain interfaces. Further, communication connection(s) 1160 may include a wired connection or a wireless connection. Each component of the aforementioned computing device 1100 may be connected by various interconnections such as a bus (eg, peripheral component interconnection (PCI), USB, firmware (IEEE 1394), optical bus structure, etc.) and may be interconnected by the network 1200. Terms such as "component" and "system" as used herein generally refer to a computer-related entity that is hardware, a combination of hardware and software, software, or software in execution.

The above description is merely an example of the technical idea of the present invention, and various modifications and variations can be made to those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are not intended to limit the technical spirit of the present invention, but to explain, and the scope of the technical spirit of the present invention is not limited by these embodiments. The protection scope of the present invention should be construed according to the following claims, and all technical ideas within the equivalent range should be construed as being included in the scope of the present invention.

100: AI-based food material wholesale direct transaction system
110: restaurant terminal
120: wholesale market broker terminal
130: wholesale direct transaction platform server
131: information collection department
132: consumption pattern prediction and analysis unit
133: food material AI automatic ordering department
134: standard price determination unit
135: price comparison unit
136: database unit
137: platform providing unit

Claims (12)

A restaurant terminal for purchasing food materials using an AI wholesale market direct transaction platform, comparing prices of purchased food materials, and requesting comparison and search for prices of food materials from companies to be purchased; and
A wholesale market middleman terminal that provides inventory and price lists of food materials using the AI wholesale market direct transaction platform and delivers food materials; and
In response to the price comparison request of the restaurant terminal, a result of comparing food material prices among affiliated wholesalers is provided, and a food material purchase order according to the food material order information of the restaurant terminal is provided to the wholesaler terminal selling food material at the price designated by the restaurant terminal. An artificial intelligence-based food materials wholesale direct transaction system that includes an automatically generated and provided wholesale direct transaction platform server. According to claim 1,
The wholesale direct transaction platform server
Artificial intelligence based food material wholesale direct transaction system, characterized in that for analyzing food material consumption patterns based on food material order information ordered for a predetermined period in the restaurant terminal, and predicting food material order quantity based on the analyzed food material consumption pattern. According to claim 1,
The wholesale direct transaction platform server
Determining a standard market price based on the selling price of food materials uploaded daily from at least one affiliated wholesale market broker terminal, generating a food material order form based on the standard market price,
The standard market price is an artificial intelligence-based food material wholesale direct transaction system, characterized in that the margin rate compared to the purchase price of food materials is calculated as 8: 2. According to claim 3,
The wholesale direct transaction platform server
Providing a standard market price to the wholesale market broker terminal, and requesting price adjustment of the food material sales price according to the standard market price to the wholesale market broker terminal when the uploaded food material selling price exceeds the standard market price. An intelligence-based wholesale direct trading system for food materials. According to claim 1,
The wholesale direct transaction platform server
Artificial intelligence-based AI that predicts the price of food materials according to weather changes and days of the week, adjusts the order date for food materials when the predicted price exceeds the standard market price, and requests adjustment of the delivery date of food materials to the wholesale market broker terminal that provided the order form. Food materials wholesale direct transaction system. According to claim 1,
The wholesale direct transaction platform server
An artificial intelligence-based food material wholesale direct transaction system that compares prices between restaurant terminals based on food order slips presented by multiple restaurant terminals and provides them. Purchasing food materials using the AI wholesale market direct transaction platform at the restaurant terminal, comparing the prices of purchased food materials, and requesting comparison and search for food material prices of companies to be purchased; and
providing a result of comparing food material prices provided by affiliated wholesale market brokers in response to a price comparison request from the restaurant terminal;
Artificial intelligence-based including the step of automatically generating and providing a food material order form according to the food material order information requested by the restaurant terminal to a wholesale market middleman terminal sold at a food material price designated by the restaurant terminal when a food material order is requested from the restaurant terminal. food materials wholesale direct transaction method. According to claim 7,
The step of requesting a comparative search for the price of the food material
An artificial intelligence-based food material wholesale direct transaction method comprising the step of comparing the food material purchase slip provided by the restaurant terminal with food material selling prices presented by an affiliated wholesale market middleman terminal. According to claim 7,
The step of automatically generating and providing the food material order form
Analyzing a food material consumption pattern based on food material order information ordered for a predetermined period in the restaurant terminal, and predicting a food material order quantity based on the analyzed food material consumption pattern. An artificial intelligence-based food material wholesale direct trading method. According to claim 9,
The step of automatically generating and providing the food material order form
Determining a reference market price based on the selling price of food materials uploaded daily from at least one affiliated wholesale market intermediary terminal, and generating a food material purchase order based on the reference price,
The standard market price is an artificial intelligence-based food material wholesale direct transaction method, characterized in that the margin ratio compared to the food material purchase price is calculated as 8: 2. According to claim 10,
The step of automatically generating and providing the food material order form
Providing a standard market price to the wholesale market broker terminal, and requesting a price adjustment of the food material selling price according to the standard market price to the wholesale market broker terminal when the uploaded food material sales price exceeds the standard market price. Characterized by artificial intelligence-based food material wholesale direct transaction method. According to claim 11,
The step of automatically generating and providing the food material order form
Predicting food material prices according to weather changes and days of the week, adjusting the food material order date if the predicted price exceeds the standard market price, and requesting adjustment of the food material delivery date to the wholesale market broker terminal that provided the order form Artificial intelligence-based food material wholesale direct transaction method.

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