KR20220134130A - Device and its operation method for cross border e-commerce service based on fulfillment - Google Patents

Abstract

An objective of the present invention is to prevent confusion of distribution information processing to prevent incorrect delivery. According to an embodiment of the present invention, an operating method of a device for providing a fulfillment-based cross border e-commerce service comprises: a registration step of registering product information transmitted from a seller terminal or a warehouse center terminal; a management step of managing distribution data shape information corresponding to one or more products based on the product information; a reception step of receiving purchase information inputted from a buyer terminal to be transmitted via the seller terminal or an e-commerce platform; an analysis step of performing an analysis for cross border distribution processing based on order data corresponding to a preset fulfillment dataset based on the purchase information and the distribution data shape information, and acquiring fulfillment order information as a result of the analysis; and a processing step of processing a distribution process corresponding to one or more purchase products based on the fulfillment order information.

Description

Device and its operation method for cross border e-commerce service based on fulfillment}

The present invention relates to an apparatus for providing a fulfillment-based cross-border e-commerce service and a method for operating the same. More specifically, when overseas consumers purchase products through domestic e-commerce platforms, fulfillment-based The present invention relates to an apparatus for providing a fulfillment-based cross-border e-commerce service for providing a cross-border logistics service, and a method for operating the same.

Electronic commerce, expressed as e-commerce, refers to a transaction in which goods and services are bought and sold in real time using the Internet through a virtual market opened online. This is rapidly spreading through the increase of Internet users and the use of smartphones based on the development of ICT technology.

In recent years, as social environmental variables oriented toward non-face-to-face life occur, the use of e-commerce, a non-face-to-face product purchase method that is not limited by time and space, is explosively increasing.

In addition, through e-commerce, the time constraint on sales disappears for the seller, and the efficiency can be improved for the buyer by reducing the effort of visiting an offline store to search for product information. The packaging method of purchased products delivered to the buyer through e-commerce maintains the quality and value of the product, reduces the work and costs of sellers and warehouses, and the efficiency of fulfillment services acting as a professional logistics service can be evaluated. can be considered as an important factor in

In addition, cross-border e-commerce, a cross-border e-commerce transaction in which transaction entities belonging to different countries transact products online, is being promoted. Cross-border e-commerce can be made in the form of direct overseas purchase by domestic consumers (direct purchase) and direct purchase of domestic products by overseas consumers (reverse direct purchase). In recent years, as the form of direct purchase (reverse direct purchase) of domestic products by overseas consumers increases, the importance of an omnidirectional and efficient logistics service based on fulfillment for this purpose is emerging.

In order to provide a logistics service provided when a foreign consumer directly purchases a domestic product through e-commerce, a method of providing a customized delivery service for overseas customers is disclosed as in Korean Patent Registration No. 10-1660822. The above registered patent relates to a method of providing a customized delivery service for overseas customers, and in the method of providing a customized delivery service for domestic visiting overseas customers executed by a server operating a shopping mall dedicated to overseas customers, when an overseas customer orders a product , check whether delivery of the ordered product is requested as domestic delivery, and when the domestic delivery request is confirmed, information on one or more domestic delivery destinations that can deliver the product is provided to the overseas customer's terminal, and the overseas customer's terminal When an overseas customer visits Korea, recommends and selects a domestic delivery address that is close to the place to stay, checks the overseas customer's visit schedule information for the domestic delivery destination selected by the overseas customer, and places the product ordered by the overseas customer to the selected domestic delivery destination It is determined whether delivery is possible within the visit schedule by comparing the time it takes to be delivered to A method of confirming a domestic delivery address that can be delivered within the overseas customer's schedule and providing it to the overseas customer's mobile phone is described.

However, through this prior art, there is a restriction that foreign customers must purchase products they want to purchase from a shopping mall dedicated to overseas customers. There is a limitation in providing information on the place where registration is possible or where a domestic visit is scheduled to be possible. This is limited to a delivery service that allows overseas customers to receive purchased products when they visit Korea. As such, the prior art has limitations in the application of logistics services that must be provided cross-border when trading subjects belonging to different countries conduct an online product transaction.

Republic of Korea Patent Publication No. 10-1660822 (Registration Date: September 22, 2016)

The present invention has been devised to solve the above problems, and when a transaction subject belonging to a different country conducts a product transaction online, when a foreign customer purchases a product using a domestic e-commerce platform, An object of the present invention is to provide an apparatus for providing a fulfillment-based cross-border e-commerce service that analyzes order data for delivery and processes a logistics process, and an operating method thereof.

A method according to an embodiment of the present invention for solving the above-described problems, a registration step of registering product information transmitted from a seller terminal or a warehouse center terminal; a management step of managing logistics data shape information corresponding to one or more products based on the product information; a receiving step of receiving purchase information input from a purchaser terminal and transmitted via an e-commerce platform or the seller terminal; An analysis step of performing an analysis for cross-border logistics processing based on order data corresponding to a preset fulfillment data set based on the purchase information and the distribution data shape information, and obtaining fulfillment order information as a result of the analysis ; and a processing step of processing a logistics process corresponding to one or more purchased products based on the fulfillment order information.

In addition, an apparatus according to an embodiment of the present invention for solving the above-described problems, a registration unit for registering product information transmitted from a seller terminal or a warehouse center terminal; Based on the product information, the management unit for managing the distribution data shape information corresponding to one or more products; a receiver inputted from a purchaser terminal and receiving purchase information transmitted via an e-commerce platform or the seller terminal; Order information for performing an analysis for cross-border logistics processing based on order data corresponding to a preset fulfillment data set based on the purchase information and the distribution data shape information, and obtaining fulfillment order information as a result of the analysis analysis department; And based on the fulfillment order information, logistics processing unit for processing a logistics process corresponding to one or more purchased products; includes.

Meanwhile, the method according to an embodiment of the present invention for solving the above problems may be implemented as a computer program stored in a computer-readable recording medium for executing the method in a computer.

According to an embodiment of the present invention, based on the product information registered by the seller on the domestic e-commerce platform, the order information for the product purchased by an expatriate can be applied to the domestic fulfillment service. By converting to , it is possible to prevent confusion in logistics information processing and to block erroneous delivery.

In addition, in providing overseas logistics services, we provide cost reduction and efficient transportation processing by providing combined packaging and combined delivery services through repackaging according to the identification value of delivery information, rather than delivery of one or more purchased products by single item. can At the same time, by modeling the fitting arrangement of 3D three-dimensional objects using the purchased product or primary packaging form and the loading method that minimizes internal hollowness during combined packaging, inefficient packaging processing work according to the experience and subjective judgment of the packaging manager It is possible to minimize waste of packaging material resources and costs due to overpacking by replacing and optimizing the combined packaging method of products.

In addition, according to the purchase information of overseas customers, it is possible to reduce the logistics processing time by using the information on the selection and delivery instructions of the purchased product to proceed with the procedure for the product to be received and released at the same time.

1 is a conceptual diagram schematically illustrating an entire system according to an embodiment of the present invention.
2 is a block diagram illustrating in more detail an apparatus for providing a fulfillment-based cross-border e-commerce service according to an embodiment of the present invention.
3 is a block diagram illustrating in more detail a partial configuration of an apparatus for providing a fulfillment-based cross-border e-commerce service according to an embodiment of the present invention.
4 is a flowchart illustrating in more detail the operation of an apparatus for providing a fulfillment-based cross-border e-commerce service according to an embodiment of the present invention.
5 is an exemplary diagram for explaining delivery packaging information provided through the apparatus for providing a fulfillment-based cross-border e-commerce service according to an embodiment of the present invention.

The following is merely illustrative of the principles of the invention. Therefore, those skilled in the art will be able to devise various devices that, although not explicitly described or shown herein, embody the principles of the present invention and are included within the spirit and scope of the present invention. In addition, it should be understood that all conditional terms and examples listed herein are, in principle, expressly intended only for the purpose of understanding the inventive concept, and are not limited to the specifically enumerated embodiments and states as such. do.

Moreover, it is to be understood that all detailed description reciting the principles, aspects, and embodiments of the invention, as well as specific embodiments, are intended to cover structural and functional equivalents of such matters. It is also to be understood that such equivalents include not only currently known equivalents, but also equivalents developed in the future, i.e., all devices invented to perform the same function, regardless of structure.

Thus, for example, the block diagrams herein are to be understood as representing conceptual views of illustrative circuitry embodying the principles of the invention. Similarly, all flowcharts, state transition diagrams, pseudo code, etc. may be tangibly embodied on a computer-readable medium and be understood to represent various processes performed by a computer or processor, whether or not a computer or processor is explicitly shown. should be

In addition, the clear use of terms presented as processor, control or similar concepts should not be construed as exclusively referring to hardware having the ability to execute software, and without limitation, digital signal processor (DSP) hardware, ROM for storing software. It should be understood to implicitly include (ROM), RAM (RAM) and non-volatile memory. Other common hardware may also be included.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as “comprise” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It is to be understood that this does not preclude the possibility of the presence or addition of numbers, steps, operations, components, parts, or combinations thereof.

The above-described objects, features and advantages will become more apparent through the following detailed description in relation to the accompanying drawings, and accordingly, those of ordinary skill in the art to which the present invention pertains can easily implement the technical idea of the present invention. There will be. In addition, when it is determined that the detailed description of the known technology related to the present invention may unnecessarily obscure the gist of the present invention in carrying out the present invention, the detailed description thereof will be omitted.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a conceptual diagram schematically illustrating an entire system according to an embodiment of the present invention.

Referring to FIG. 1 , the system according to an embodiment of the present invention may include a service providing apparatus 100 , a seller terminal 200 , a warehouse center terminal 300 , a buyer terminal 400 , and an e-commerce platform 500 . can

More specifically, the service providing apparatus 100, the seller terminal 200, the warehouse center terminal 300, the buyer terminal 400, and the e-commerce platform 500 are wired and wireless through connection with a public network. It can be connected to one or more of them to transmit and receive data. The public network is a communication network built and managed by the country or a telecommunication key business operator, and generally provides a connection service so that an unspecified number of ordinary people, including a telephone network, a data network, a CATV network, and a mobile communication network, can access other communication networks or the Internet. . In the present invention, the public network is represented by replacing the network.

In addition, the service providing apparatus 100 is each communication module for communicating with the seller terminal 200 , the warehouse center terminal 300 , the buyer terminal 400 , the e-commerce platform 500 and the protocol corresponding to each communication network. may include

The service providing apparatus 100 may provide a fulfillment platform in which a seller who is an online seller and a warehouse owner who owns a warehouse center are networked. The service providing device 100 provides omnidirectional logistics services such as warehousing and storage of goods, shipment and delivery for buyer orders, returns, settlement, and inventory management so that sellers can increase product manufacturing or sourcing work concentration and reduce costs. We can provide a fulfillment service on your behalf. In addition, the service providing apparatus 100 may connect the seller to the warehouse owner so as to maximize the utilization of the warehouse center by securing the goods.

As such, the service providing apparatus 100 provides a fulfillment service that can reduce logistics tasks and related costs to sellers and warehouse owners, and can process domestic and foreign logistics services smoothly through this.

Through this, the service providing apparatus 100 may provide a fulfillment service for a product purchased by potential buyers on the e-commerce platform 500 through the purchaser terminal 400 .

In particular, when overseas buyers purchase a product from the domestic e-commerce platform 500 through the purchaser terminal 400, the service providing apparatus 100 provides the national language used for purchase information input by the purchaser terminal 400, Alternatively, it is possible to detect a specific language such as English, translate or convert it into a preset language, and write it together.

Here, the service providing apparatus 100 may provide a pre-selection service of purchased goods in order to minimize the logistics processing period required due to physical and managerial characteristics in cross-border logistics processing performed through cross-border movement. . The pick-and-place service shortens the period from warehouse warehousing of goods for cross-border logistics processing of purchased goods to delivery instructions, thereby enabling simultaneous packaging and release of goods to be performed in an immediate step. As such, the service providing apparatus 100 may provide a service specialized for cross-border logistics processing based on a fulfillment.

In addition, the service providing apparatus 100 can provide a packaging service to protect the value and state of goods in the process of transportation, storage, handling, etc. of goods to be specialized in cross-border logistics processing, and to maximize logistics processing efficiency. . In particular, the service providing apparatus 100 optimizes packaging or packing that can reduce costs such as combined packaging of products for the same recipient, efficient use of packaging resources, etc., in addition to the basic function of the packaging service to protect the value and condition of the product service can be provided.

Specifically, the service providing apparatus 100 may determine the optimal loading order and arrangement for unit packaging or combined packaging with respect to one or more purchased products ordered by a specific purchaser, and recommend a box size through this. In addition, the service providing apparatus 100 may determine the combined delivery situation through the combined packaging for the purchase order of the purchaser and process the logistics service.

The service providing apparatus 100 connects the seller terminal 200, the warehouse center terminal 300, the buyer terminal 400, and the e-commerce platform 500 and a wired/wireless network to provide a cross-border e-commerce service of the purchased product. can be connected through A device or terminal connected to the network may communicate with each other through a preset network channel.

Here, the network includes a local area network (LAN), a wide area network (WAN), a value added network (VAN), a personal area network (PAN), a mobile communication network ( Mobile radio communication network) or all kinds of wired/wireless networks such as satellite communication networks.

The service providing device 100 or the e-commerce platform 500 may be implemented as a server device that performs overall functions and roles as a web server, a database, a web application server, and the like.

And the seller terminal 200, the warehouse center terminal 300, and the purchaser terminal 400 described in this specification include a personal computer (PC), a laptop computer, a terminal for digital broadcasting, a personal digital assistant (PDA), a PMP. (Portable Multimedia Player) and the like may be included, but the present invention is not limited thereto, and may be various devices capable of user input and information display.

Additionally, the seller terminal 200, the warehouse center terminal 300, and the purchaser terminal 400 are not limited to the device classification, and may include a server device that can be expanded by upgrading data processing, storage, and management functions. .

2 is a block diagram illustrating in more detail an apparatus for providing a fulfillment-based cross-border e-commerce service according to an embodiment of the present invention, and FIG. 3 is a fulfillment-based cross-border e-commerce service according to an embodiment of the present invention. It is a block diagram showing some configurations of the providing device in more detail.

2 and 3 , the service providing apparatus 100 according to an embodiment of the present invention includes a control unit 110 , a registration unit 120 , a management unit 130 , a receiving unit 140 , and an order information analysis unit 150 . , a material processing unit 160 , and a communication unit 170 may be included.

Referring to FIG. 3A , the order information analysis unit 150 may include a language conversion analysis unit 151 and a natural language processing analysis unit 152 .

Referring to FIG. 3B , the distribution processing unit 160 may include a cross-border selection processing unit 161 and a cross-border packaging processing unit 162 . Additionally, the cross-border packaging processing unit 162 may further include a cross-border packaging module 1621 .

The control unit 110 controls the overall operation of each module, provides operation processing according to the service providing method according to an embodiment of the present invention, and may include one or more microprocessors for this purpose.

The registration unit 120 may register product information transmitted from the seller terminal 200 or the warehouse center terminal 300 . The product information may include detailed information about a product manufactured by a seller or secured through sourcing. Specifically, the product information may include a product name, product image, stock quantity, item classification information, capacity or weight, size information, storage method, handling method, volume calculation information of a unit product, and the like.

The volume calculation information of the product may include length information on the width, length, and height of the product prototype. In addition, the volume calculation information of the product may be length information for width, length, and height measured based on the state of a single package to protect the product and maintain its value.

The management unit 130 may manage distribution data shape information corresponding to one or more products based on the product information. The management unit 130 can manage logistics data shape information including the latest logistics processing status information, such as seller information, warehouse owner information, fulfillment logistics information, and fulfillment operation information and history information, based on the product information. have. In this way, the distribution data shape information may include information generated from fulfillment services such as product wearing and storage, shipment and delivery, return, settlement, and inventory management.

The logistic data shape information can be divided into a database and managed in detail. The database may be subdivided into a seller information database, a seller-linked product database, a product inventory database, a product sales history information database, a product-linked warehouse information database, a warehouse information database, and an e-commerce platform-linked database to store and manage information. The database may be interconnected and combined as a relational database, data may be extracted by combining, and may be utilized for a requested transaction.

Additionally, the management unit 130 may manage loading variable information for a product included in the product information. The management unit 130 may store and manage the loading variable information for each unit product. The loading variable information may include capacity, weight, volume, and volume calculation information that can be measured for each unit product, hardness, breakage safety, and the like. The loading variable information may be used to determine a loading order for a product purchased by the buyer and an arrangement form of the product in the loading layer. The loading variable information may be divided into a loading variable database and included in the logistics data shape information.

The load variable information may correspond to a measured value or an evaluation value quantitatively so that it can be compared as a relative value. For example, the weight may be expressed as a mass value that may be measured in units of kg, g, mg, or the like. In addition, the degree of safety of breakage can be evaluated by evaluating the degree of risk that the quality and value of products provided as food, glass, paper, etc. may be deformed by external pressure or impact. The safety degree of damage is a value obtained by evaluating the degree of safety against the risk of damage, and the evaluation information may be numerically matched, such as '3' for safety, '2' for normal, '1' for risk, and the like. In addition, the volume is a value that measures the size that occupies the space, and may be obtained in units of mm 3 , cm 3 , m 3 , and the like. Additionally, the evaluation information can be numerically matched with hardness as '3' for hardness, '2' for normal, and '1' for softness. The evaluation information such as the degree of damage safety and hardness can be evaluated using information in which the degree of deformation can be predicted according to external pressure and impact according to product category information, product provision form, product manufacturing material, product item type, etc. in the product information. have.

The receiver 140 may receive purchase information input from the purchaser terminal 400 and transmitted via the seller terminal 200 or the e-commerce platform 500 . The purchaser terminal 400 may generate purchase information by inputting or selecting product information to be purchased with respect to the product registered by the seller terminal 200 in the e-commerce platform 500 . The e-commerce platform 500 may include an open market, social commerce, home shopping, a merchant-only shopping mall, and the like. The receiver 140 may receive purchase information input by the purchaser terminal 400 through the e-commerce platform 500 . Also, the receiver 140 may receive purchase information input by the purchaser terminal 400 through the seller terminal 200 . The purchase information is generated based on information input by the purchaser terminal 400, and the generated purchase information may include information such as orderer information, a selected product name, quantity, price, delivery information, and other requested items.

The order information analysis unit 150 performs analysis for cross-border logistics processing based on order data corresponding to a preset fulfillment data set based on the purchase information and the distribution data shape information, and uses the analysis result to perform full fill ment order information can be obtained. The order information analysis unit 150 refers to the latest logistics data shape information for one or more products corresponding to the purchase information, and analyzes the information selected or input by the purchaser terminal 400 to fill in a certain format. You can match the order data to the order data set.

The order information analysis unit 150 may set a request information item for fulfillment logistics processing in advance as the fulfillment data set. The order information analysis unit 150 may analyze order data collected from one or more seller terminals 200 or the e-commerce platform 500 to match information to the fulfillment data set.

For example, the fulfillment dataset may consist of items of an input subject, necessary information, and input data value. The input subject may be divided into a buyer, a seller, a warehouse center, and the like. Required information includes recipient, contact number, shipping address, postal code, buyer, item name, quantity, order number, fulfillment code, warehouse information, delivery type, domestic and international delivery classification, box information, subsidiary material information, delivery cost information, domestic and foreign invoice information, Carrier information, waybill number, overseas delivery information, etc. may be included. In addition, the input data may include an input value corresponding to the necessary information.

Additionally, the order information analysis unit 150 refers to unique identifiers such as member ID, order request date, and delivery address information in the purchase information, so that combined packaging or combined delivery can be performed according to the selection information of the purchaser terminal 400 . You can use the above fulfillment order information.

The order information analysis unit 150 may include a language conversion analysis unit 151 .

The language conversion analysis unit 151 converts the purchase information or the distribution data shape information into a corresponding designated language according to a preset language analysis index when a language different from a preset designated language is included, and the conversion The converted language information obtained as a result may be included in the fulfillment order information. The language analysis index may include a criterion for a word to be translated or converted into a designated language with respect to a language other than the designated language. Words or trademarks that can be recognized in a foreign language, such as manufacturer's name, company name, product name, or name, may be excluded from translation or conversion.

The language conversion analysis unit 151 may set a specific local language as a specified language. In this case, the language conversion analysis unit 151 may detect a language in a format different from the designated local language. The language conversion analysis unit 151 may distinguish different languages included in the purchase information and translate or convert them into a designated local language.

For example, when Korean is set as a designated language in the purchase information, and when a foreign language other than Korean is detected, the language conversion analysis unit 151 may translate or convert the foreign language into Korean and write the same. Through this, the language conversion analysis unit 151 can prevent confusion or mistranslation due to heterogeneous languages in domestic logistics processing.

The order information analysis unit 150 may further include a natural language processing analysis unit 152 .

The natural language processing analysis unit 152 classifies the purchase information and the distribution data shape information into the order data so that order data matching the fulfillment data set that formalizes the distribution item information required for distribution processing is input. can do.

The purchase information may be managed as a specific value corresponding to an order form, which is a dataset configured for each seller terminal 200 or the e-commerce platform 500 .

For example, in the case of the first e-commerce platform, the data set may include an order information form including matching data in the order of payee, contact information, address, postal code, delivery message, and courier information items. In addition, in the case of the second e-commerce platform, the data set may include an order information form including matching data in the order of courier company information, recipient, postal code, address, contact information, and request items. As such, the order of item composition may be changed according to the order form of the first e-commerce platform and the second e-commerce platform, and the names of items are also text such as 'recipient' and 'recipient', 'delivery message' and 'requests'. The text may be different.

At this time, the natural language processing analysis unit 152 formalizes item information required for logistics processing into a fulfillment dataset, and extracts information matching each item information from each e-commerce platform 500 order information form. can respond.

In detail, the natural language processing analysis unit 152 may classify an item value included in a specific order form provided as the purchase information and order data corresponding to the item value into information such as text, numbers, and symbols. Also, the natural language processing analysis unit 152 may analyze the meaning of text information by using natural language processing such as morpheme analysis. The language conversion analysis unit 151 obtains integrated fulfillment order information by matching and reconstructing item values and order data collected in each order form to a predetermined fulfillment data set by utilizing an analysis technique such as natural language processing. can do.

The logistics processing unit 160 may process a logistics process corresponding to one or more purchased products based on the fulfillment order information. The logistics processing unit 160 may classify domestic and foreign logistics processing according to the fulfillment order information. In particular, when the delivery information included in the fulfillment order information is designated overseas, the logistics processing unit 160 may respond to a logistics process for cross-border logistics processing such as international transportation, customs clearance, and overseas local delivery. The logistics processing unit 160 may transmit instruction information for logistics processing to the warehouse center terminal 300 by applying the logistics process step by step.

The logistics processing unit 160 may include a cross-border selection processing unit 161 . When the logistics process is a cross-border quick release process, the cross-border selection processing unit 161 may transmit, based on the fulfillment order information, information on the selection and selection of the purchased product to the warehouse center terminal 300. .

The cross-border checkout processing unit 161 may reduce the time required for requesting shipment after warehousing and processing the purchased goods when the purchased goods are received from the warehouse center designated by the supplier for cross-border logistics processing. .

The selection processing unit 161 may transmit the selection information to the warehouse center terminal 300, which is received according to the fulfillment order information, and process the pre-shipment work such as external packaging, combined packaging, etc. at the same time as goods are received.

The material processing unit 160 may further include a cross-border packaging processing unit 162 .

When the logistics process is a cross-border packaging process, the cross-border packaging processing unit 162 is configured to, based on the cross-border recipient identifier information extracted from the fulfillment order information, the same cross-border recipient identifier information and one or more packaging products corresponding to the same. can be repackaged. The cross-border packaging processing unit 162 may integrally manage cross-border recipient identifier information in the fulfillment order information. The cross-border recipient identifier information may be utilized as repackaging information for processing combined shipping by inquiring identifier information, such as member ID, delivery address, recipient name, and contact information, and packaging the same.

The cross-border packaging processing unit 162 may include a cross-border packaging analysis unit 1621 .

The cross-border packaging analysis unit 1621 may analyze a three-dimensional packaging method of the packaged product based on loading variable information for the product included in the product information, and output shipping packaging information as a result of the analysis. .

In addition, the cross-border packaging analysis unit 1621 may recommend delivery packaging information through analysis of the three-dimensional packaging method of the purchased product. The cross-border packaging analysis unit 1621 may present one or more packaging method models through the three-dimensional packaging method.

The cross-border packaging analysis unit 1621 recommends the recommended delivery packaging information through the efficient use of packaging materials for packaging of the outermost form among the packaging method models or the criterion of minimizing the hollow volume value formed therein. can The delivery packaging information may include volume information of a packaging container or box forming an outermost shape. The delivery packaging information may include information such as a list of packed purchased products and volume information and quantity of each purchased product.

The cross-border packaging analysis unit 1621 may use product information for each product with respect to one or more purchased products included in the purchase information. Also, the cross-border packaging analysis unit 1621 may acquire the loading variable information corresponding to the purchased product. Through this, the cross-border packaging analysis unit 1621 may obtain objectification information by modeling the three-dimensional shape of the purchased product.

The cross-border pavement analysis unit 1621 may analyze a pavement method in which the outermost pavement volume can be a minimum value during combined packaging using the objectification information. The cross-border packaging analysis unit 1621 may determine an optimized combined packaging method through analysis of the packaging method and recommend it as the delivery packaging information.

The cross-border packaging analysis unit 1621 may store product classification information obtained by classifying product types for one or more products corresponding to the purchase information.

The cross-border packaging analysis unit 1621 may set a predetermined standard for classifying the type of each product. The cross-border packaging analysis unit 1621 may subdivide types based on product categories. For example, the product category may be divided into food, fashion, beauty, kitchenware, cleaning products, furniture, baby products, leisure products, home appliances, hobby products, and the like. The cross-border packaging analysis unit 1621 may classify products on the basis of physically or chemically preventing deterioration, deformation, or damage of the product. To this end, the cross-border packaging analysis unit 1621 may classify the product into a product requiring refrigeration, a product requiring refrigeration, a product to be handled, and the like, and store it as product classification information. The cross-border packaging analysis unit 1621 manages information classified by type according to physical or chemical properties of the product as product classification information, so that it can be utilized as information for determining a packaging method to maintain the value and quality of the product. let it be

The cross-border packaging analysis unit 1621 analyzes the volume information of the packaging auxiliary material in response to the packaging auxiliary material maintaining the quality and value of the product according to the product classification information, and sets the volume information of the packaging auxiliary material as the loading variable. information may be included. The cross-border packaging analysis unit 1621 may select an ice pack, an air cap, a cushioning material, etc. as the packaging subsidiary material according to the physical or chemical properties of the purchased product to prevent deterioration, deformation, or damage of the product. The cross-border packaging analysis unit 1621 may calculate an input amount for a packaging auxiliary material corresponding to a product, and obtain volume information of the packaging auxiliary material with respect to the input amount. Through this, the cross-border packaging analysis unit 1621 may calculate the volume of the packaging auxiliary material coupled to the purchased product and include the volume information of the packaging auxiliary material in the loading variable information for each product. In addition, the cross-border packaging analysis unit 1621 may determine the input of a bulkhead or additional external packaging materials for a product that needs to be classified according to the characteristics of the packaging auxiliary material added to the purchased product. For example, when purchase information includes frozen food and clothes, it is necessary to separate the clothes so that they are not damaged by dry ice or ice packs input to maintain the quality of the frozen food. In this case, the cross-border packaging analysis unit 1621 may additionally input and separate external packaging materials, which may include frozen food, ice packs, or dry ice packaging materials.

The cross-border packaging analysis unit 1621 corresponds to a packaging method for each product group classified into a specific item group in the purchased product, based on the product classification information and the loading variable information, and determines one or more of the packaging methods according to the corresponding packaging method. Tea product packaging volume information may be obtained. The cross-border packaging analysis unit 1621 may check whether the purchased product is individually packaged, and may calculate primary product packaging volume information to be individually packaged or bundled. The cross-border packaging analysis unit 1621 may calculate primary product packaging volume information by determining whether to add a hexahedral package if necessary according to the physical or chemical properties of the individually packaged product.

The cross-border packaging analysis unit 1621 may determine a loading method and secondary product packaging volume information through analysis of a loading order or a loading arrangement type based on the loading variable information and the primary product packaging volume information.

The cross-border pavement analysis unit 1621 may include a loading order determining module 16211 . The loading order determination module 16211 acquires the loading order information by reflecting a weight (WEIGHT) corresponding to a preset importance index for information extracted from the loading variable information, such as weight, hardness, volume, and safety degree of damage. can do.

The importance index may be set from among loading variable information to be considered in order to maintain product quality and value. The importance index may be set by selecting one or more of weight, hardness, volume, breakage safety, and the like.

The loading order determining module 16211 may assign a weight to the importance index. The weight may be assigned as one or more values by changing the designated value so as to differentiate the importance of the loading variable information designated as the importance index.

When the loading order determining module 16211 designates the importance index as one loading variable information, the loading order may be determined according to the single loading variable information. The loading order determining module 16211 may determine the loading order by analyzing the values of integers among purchased products using the single loading variable information to determine the loading order and place them in the packaging container.

The loading order may be relatively positioned at the bottom of the packaging container as the order of execution takes precedence. In addition, the loading order determining module 16211 may preset whether to prioritize the loading order according to an ascending order or a descending order with respect to the integer value calculated as the loading variable information.

According to an embodiment of the present invention, the loading order determining module 16211 prioritizes the importance index in the loading variable information such as weight, hardness, volume, and damage safety in the order of weight, damage risk, volume, and hardness. can be set. At this time, the loading order determination module 16211 assigns the weight, breakage safety, volume, and hardness, which are the importance indicators, to a default value of '1', and assigns weights to each variable of '2.5', '2', and '1.5'. , can be specified as '1'. Accordingly, the loading order determination module 16211 obtains a calculated value reflecting the weight of the loading order of the purchased product as '2.5', the risk of damage is '2', the volume is '1.5', and the hardness is '1'. can do. Accordingly, the loading order determining module 16211 may determine the loading order according to a mass value measured or confirmed in each product with respect to the weight having the highest weight. Alternatively, the loading order determining module 16211 may reflect the weight in loading variable information of each product and determine the loading order according to a value compared through summation.

For example, when the loading variable information is weight, the larger the measured or acquired mass, the higher the loading order may be. This can apply pressure to the bottom of a product with a larger mass, thereby preventing an increase in the risk of deformation or damage to other products located at the bottom. In addition, when the loading variable information is a volume, the loading order may be prioritized as the volume measured or obtained is larger. This can maximize space efficiency by allowing bulky products to occupy space in the initial packaging container. In addition, if there is no information about the mass, the loading order may be determined according to the prediction that the weight may be relatively heavy as the volume increases.

Here, the loading order determining module 16211 may determine the loading order by using only a specific index having the highest priority when extracting one or more of the importance index from the loading variable information, and a value reflecting weights in all indexes It is possible to determine the loading order by comparing them through the summation of .

For example, the loading order determining module 16211 may determine that the weight of the first purchased product is 1 kg, the degree of damage safety is '3' corresponding to 'safe', the volume is 8 cm3, and the hardness is '1 corresponding to 'soft'. ', '2' corresponding to the weight of the second purchased product as 'normal', the weight of the second purchased product as 'normal', the volume by 6 cm3, and the hardness as 'normal' corresponding to '2' may be analyzed. The loading order determining module 16211 may determine a weight having the highest weight as a priority of the loading order. Accordingly, the loading order determining module 16211 may acquire loading order information for locating the second product having a weight of 2 kg in the first and lowest position in the loading order.

Additionally, the loading order determination module 16211 may compare values calculated by multiplying information measured or obtained from each product by a weight in weight, breakage safety, volume, and hardness set as the importance index. Specifically, in the case of the first purchased product, the value calculated by reflecting the weight on the importance index is '2.5', the breakage safety is '6', the volume is '12', the hardness is '1', and the sum value is ' 21.5'. In the case of the second purchased product, the value calculated by reflecting the weight in the importance index is '5', the breakage safety is '4', the volume is '9', the hardness is '2', and the sum value is '20' becomes this Through this, the loading order determining module 16211 may acquire loading order information in which the loading order of the first purchased product is located at the bottom first.

The cross-border pavement analysis unit 1621 may further include a 3D shape build analysis module 16212 .

The 3D shape build analysis module 16212 three-dimensionally models the shape of the packaged product, and uses the three-dimensional shape information obtained through the three-dimensional modeling and the loading sequence information to determine the loading arrangement according to a preset loading algorithm. can decide

In addition, the 3D shape build analysis module 16212 may three-dimensionally model the shape of the primary packaging product group based on the primary product packaging volume information. The 3D shape build analysis module 16212 may determine a loading arrangement according to a preset loading algorithm using the three-dimensional shape information obtained through the three-dimensional modeling and the loading order information.

The loading algorithm may be fitted to be filled in a hexahedral shape using the three-dimensional shape information. The loading algorithm may generate one or more hexahedral models that are finally filled according to the optional arrangement of the fit.

The 3D shape build analysis module 16212 selects a hexahedral model calculated as a value in which the volume value of the hollow formed therein is the minimum among the hexahedron models generated using the loading algorithm, and selects the outermost product packaging volume information or It can be determined by the secondary product packaging volume information.

The 3D shape build analysis module 16212 may provide a build interface that visually displays the loading shape. The build interface provides a 360° rotation view so that the loading form of the three-dimensional shape information can be checked from various viewpoints.

In addition, the 3D shape build analysis module 16212 may use one or more of the three-dimensional shape information to directly control the arrangement of products or the stacking layer configuration of products. To this end, the 3D shape build analysis module 16212 may provide a function of dragging and dropping the three-dimensional shape information in a specific space.

The 3D shape build analysis module 16212 may include and utilize a Maxrects (Maximal Rectangle) algorithm as the loading algorithm. In the Maxrects (Maximal Rectangle) algorithm, when the first rectangular object is initially arranged in a two-dimensional space of a predetermined size, the remaining area in the overlapping area so as not to be fragmented with respect to the remaining area except for the area occupied by the first rectangular object. It can be expanded into an additional loading area. The Maxrects (Maximal Rectangle) algorithm enables the area calculated by arranging a second rectangular object, a third rectangular object, etc. that may be nested in the additional loading area. The 3D shape build analysis module 16212 may use the width, length, and height information that can be calculated from the three-dimensional shape information, and the width, volume, and the like for the Maxrects (Maximal Rectangle) algorithm.

Here, the 3D shape build analysis module 16212 may determine the loading shape by fitting one or more of the three-dimensional shape information according to the 3D coordinates using the loading algorithm. In addition, the 3D shape build analysis module 16212 may determine the lengths of the horizontal, vertical, and height extensions as the three-dimensional shapes are selectively fitted as the volume value of the outermost pavement cube.

The 3D shape build analysis module 16212 may provide logic for determining a loading method. The 3D shape build analysis module 16212 may generate a hexahedron having a size including the volume of purchased products of various shapes. The hexahedron may be formed in a shape capable of minimizing the hollow formed therein. The 3D shape build analysis module 16212 may position the first hexahedron having the highest loading order so as to be in contact with the origin of the 3D coordinates of the x, y, and z axes. The 3D shape build analysis module 16212 may divide the space using three corners of the cube that are not in contact with the x, y, and z axes. In this case, the 3D shape build analysis module 16212 may utilize the Maxrects (Maximal Rectangle) algorithm. After that, the 3D shape build analysis module 16212 loads the second cube so as to be in contact with the first cube, determines whether the second cube can be included in the divided space, and determines whether the second cube can be included in the available space. can be located. In addition, the 3D shape build analysis module 16212 re-divides the space using each corner of the second cube with respect to the divided space after the second cube is located. In this case, the 3D shape build analysis module 16212 may remove an invalid space. The invalid space may be divided into an area included in another space or an area having a negative height or width value. Through this, the 3D shape build analysis module 16212 may remove the invalid space and analyze whether a cube of all products to be packaged together can be included in the re-divided space. The 3D shape build analysis module 16212 may recognize the object on which the cube of the product is overlapped as one object and determine the standard of the packaging cube that fits the length of the longest side.

According to an embodiment of the present invention, the 3D shape build analysis module 16212 sets x, y, w (width), and h (height) as attributes to remove an invalid space when dividing an area in a specific area. Rectangular objects can be used. Specifically, in the 3D shape build analysis module 16212, r means a rectangular object, s is defined as a space overlapping the rectangular object, and top, bottom, left according to the first rectangular object as the first loading and reference. , can define the space of right. The 3D shape build analysis module 16212 may sequentially rt, rb, rl, and rr match the rectangular objects in the top, bottom, left, and right spaces. Through this, the 3D shape build analysis module 16212 may acquire rt, rb, rl, and rr information as follows. For example, rt is rt={x:s.x, y:s.y, w:s.w, h:r.y-s.y}, rb is rb={x:s.x, y:r.y+r.h, w:s.w, h :s.y+s.h-(r.y+r.h)}, rl is rl={x:s.x, y:s.y, w:r.x-s.x, h:s.h}, rr is rr={x:r.x +r.w, y:s.y, w:s.x+s.w-(r.x+r.w)}.

4 is a flowchart illustrating in more detail the operation of an apparatus for providing a fulfillment-based cross-border e-commerce service according to an embodiment of the present invention.

Referring to FIG. 4 , in the operating method of the apparatus for providing a fulfillment-based cross-border e-commerce service according to an embodiment of the present invention, the registration step S101 is transmitted from the seller terminal 200 or the warehouse center terminal 300 . Product information can be registered.

The product information may include detailed information about a product manufactured by a seller or secured through sourcing. Specifically, the product information may include a product name, product image, stock quantity, item classification information, capacity or weight, size information, storage method, handling method, volume calculation information of a unit product, and the like.

In the management step (S103), based on the product information, logistics data shape information corresponding to one or more products may be managed. The management step (S103) is based on the product information to manage logistics data shape information including the latest logistics processing status information such as seller information, warehouse owner information, fulfillment logistics information, and fulfillment operation information and history information. can In detail, the logistics data shape information may include information generated from fulfillment services such as warehousing and storage of goods, shipment and delivery, returns, settlement, and inventory management.

In the receiving step ( S105 ), purchase information that is input from the purchaser terminal 400 and transmitted via the seller terminal 200 or the e-commerce platform 500 may be received. The purchaser terminal 400 may generate the purchase information by inputting or selecting product information to be purchased with respect to the product registered by the seller terminal 200 in the e-commerce platform 500 . The e-commerce platform 500 may include an open market, social commerce, home shopping, a merchant-only shopping mall, and the like. The receiver 140 may receive purchase information input by the purchaser terminal 400 through the e-commerce platform 500 . Also, the receiver 140 may receive purchase information input by the purchaser terminal 400 through the seller terminal 200 . The purchase information is generated based on information input by the purchaser terminal 400, and the generated purchase information may include information such as orderer information, a selected product name, quantity, price, delivery information, and other requested items.

In the analysis step (S107), based on the purchase information and the shape information of the logistics data, an analysis for cross-border logistics processing based on a preset fulfillment data set and corresponding order data is performed, and a fulfillment order is ordered as a result of the analysis information can be obtained.

The analysis step (S107) may include a language conversion analysis step (not shown).

In the language conversion analysis step, when the purchase information or logistics data shape information includes a language different from a preset language and format, it is converted into a corresponding designated language according to a preset language analysis index, and obtained as a result of the conversion The converted language information may be included in the fulfillment order information.

The analysis step (S107) may further include a natural language processing analysis step (not shown).

The natural language processing analysis step may classify the purchase information and the distribution data shape information into the order data so that specific matching information is input to the fulfillment dataset in which the distribution item information required for distribution processing is standardized.

The processing step (S109) may process a logistics process corresponding to one or more purchased products based on the fulfillment order information.

The processing step S107 may include a cross-border selection process step (not shown).

In the cross-border selection and selection processing step, when the logistics process is a cross-border quick release process, selection and selection instruction information for the purchased product may be transmitted to the warehouse center terminal 300 .

The processing step (S107) may further include a cross-border packaging processing step (not shown).

In the cross-border packaging processing step, when the logistics process is a cross-border packaging process, based on the cross-border recipient identifier information extracted from the fulfillment order information, one or more packaged products corresponding to the same cross-border recipient identifier information are returned. Packaging can be handled. The cross-border packaging processing step may integrally manage cross-border recipient identifier information in the fulfillment order information. The cross-border recipient identifier information may be utilized as repackaging information for processing combined shipping by inquiring identifier information, such as member ID, delivery address, recipient name, and contact information, and packaging the same.

The cross-border packaging processing step may include a cross-border packaging step (not shown).

The cross-border packaging step may analyze a three-dimensional packaging method of the packaged product based on loading variable information for the product included in the product information, and output shipping packaging information as a result of the analysis.

The loading variable information may include capacity, weight, and volume calculation information that can be measured for each unit product, hardness, breakage safety, and the like. The loading variable information may be used to determine a loading order for a product purchased by the buyer and an arrangement form of the product in the loading layer.

The cross-border packaging step may further include a loading order determining step (not shown). The loading order determining step is to obtain the loading order information through reflection of a weight (WEIGHT) corresponding to a pre-set importance index for information extracted from one or more of weight, hardness, volume, and damage safety from the loading variable information. can

The cross-border packaging step may further include a 3D shape build analysis step (not shown). The 3D shape build analysis step may three-dimensionally model the shape of the packaged product, and determine the loading arrangement form according to a preset loading algorithm using the three-dimensional shape information obtained through the three-dimensional modeling and the loading order information. The loading algorithm fits to be filled in a hexahedral shape using the three-dimensional shape information, generates one or more hexahedral models according to the selective arrangement form of the fit, and the hollow volume value formed inside the hexahedral model is A hexahedral model calculated as a minimum value may be determined as the outermost product packaging volume information.

5 is an exemplary diagram for explaining delivery packaging information provided through the apparatus for providing a fulfillment-based cross-border e-commerce service according to an embodiment of the present invention.

Referring to FIG. 5 , the service providing apparatus 100 may visually provide a loading arrangement in the outermost hexahedral packaging box according to the three-dimensional shape of one or more purchased products ordered by the purchaser terminal 400 . In addition, the service providing apparatus 100 may provide detailed packaging information for purchased products. The service providing apparatus 100 may provide box information and information according to a product list as 'Packing Result' information. The box information may include box volume information. In addition, the product list may include single-package volume information and quantity information corresponding to the product list purchased by the buyer.

On the other hand, the above-described method according to various embodiments of the present invention is implemented in the form of installation data to be executed in a terminal device and stored in various non-transitory computer readable media to each server or device. can be provided.

The non-transitory readable medium refers to a medium that stores data semi-permanently, rather than a medium that stores data for a short moment, such as a register, cache, memory, etc., and can be read by a device. Specifically, the various applications or programs described above may be provided by being stored in a non-transitory readable medium such as a CD, DVD, hard disk, Blu-ray disk, USB, memory card, ROM, and the like.

In addition, although preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above, and the technical field to which the present invention pertains without departing from the gist of the present invention as claimed in the claims In addition, various modifications may be made by those of ordinary skill in the art, and these modifications should not be individually understood from the technical spirit or perspective of the present invention.

Claims (16)

In the service providing device,
a registration unit for registering product information transmitted from a seller terminal or a warehouse center terminal;
Based on the product information, the management unit for managing the distribution data shape information corresponding to one or more products;
a receiver inputted from a purchaser terminal and receiving purchase information transmitted via an e-commerce platform or the seller terminal;
Order information for performing an analysis for cross-border logistics processing based on order data corresponding to a preset fulfillment data set based on the purchase information and the distribution data shape information, and obtaining fulfillment order information as a result of the analysis analysis department; and
Based on the fulfillment order information, a logistics processing unit for processing a logistics process corresponding to one or more purchased products; including
Service providing device. The method of claim 1,
The order information analysis unit,
If the purchase information or logistics data shape information includes a language different from a preset language and format, it is converted into a corresponding designated language according to a preset language analysis index, and the converted language information obtained as a result of the conversion is Language conversion analysis unit included in the fulfillment order information; including
Service providing device. 3. The method of claim 2,
The order information analysis unit,
A natural language processing analysis unit for classifying and processing the purchase information and the shape information of the logistics data into the order data so that specific matching information is input to the fulfillment dataset in which the logistics item information required for logistics processing is standardized;
Service providing device. The method of claim 1,
The logistics processing unit,
When the logistics process is a cross-border quick release process, a cross-border selection and selection processing unit for transmitting selection and selection instruction information for the purchased product to the warehouse center terminal;
Service providing device. 5. The method of claim 4,
The logistics processing unit,
When the logistics process is a cross-border packaging process, a cross-border packaging processing unit that repackages one or more packaged products corresponding to the same cross-border recipient identifier information based on the cross-border recipient identifier information extracted from the fulfillment order information. further containing ;
Service providing device. 6. The method of claim 5,
The cross-border packaging processing unit,
A cross-border packaging analysis unit that analyzes a three-dimensional packaging method of the packaged product based on the loading variable information for the product included in the product information, and outputs delivery packaging information as a result of the analysis;
Service providing device. 7. The method of claim 6,
The cross-border pavement analysis unit,
A loading order determination module for obtaining the loading order information by reflecting a weight (WEIGHT) corresponding to a preset importance index for information extracted from one or more of weight, hardness, volume, and breakage safety from the loading variable information; containing
Service providing device. 8. The method of claim 7,
The cross-border pavement analysis unit,
A 3D shape build analysis module that three-dimensionally models the shape of the packaged product and determines a loading arrangement form according to a preset loading algorithm using the three-dimensional shape information obtained through the three-dimensional modeling and the loading order information; but,
The loading algorithm fits to be filled in a hexahedral shape using the three-dimensional shape information, generates one or more hexahedral models according to the selective arrangement form of the fit, and the hollow volume value formed inside the hexahedral model is Characterized in determining the hexahedral model calculated as the minimum value as the outermost product packaging volume information
Service providing device. In the method of operating a service providing device,
A registration step of registering product information transmitted from the seller terminal or the warehouse center terminal;
a management step of managing logistics data shape information corresponding to one or more products based on the product information;
a receiving step of receiving purchase information input from a purchaser terminal and transmitted via an e-commerce platform or the seller terminal;
An analysis step of performing an analysis for cross-border logistics processing based on order data corresponding to a preset fulfillment data set based on the purchase information and the distribution data shape information, and obtaining fulfillment order information as a result of the analysis ; and
A processing step of processing a logistics process corresponding to one or more purchased products based on the fulfillment order information;
How the service providing device works. 10. The method of claim 9,
The analysis step is
If the purchase information or logistics data shape information includes a language different from a preset language and format, it is converted into a corresponding designated language according to a preset language analysis index, and the converted language information obtained as a result of the conversion is Including; language conversion analysis step included in the fulfillment order information
How the service providing device works. 11. The method of claim 10,
The analysis step is
A natural language processing analysis step of classifying and processing the purchase information and the shape information of the logistics data into the order data so that specific matching information is input to the fulfillment dataset in which the logistics item information required for logistics processing is standardized; further comprising
How the service providing device works. 10. The method of claim 9,
The processing step is
When the logistics process is a cross-border quick release process, a cross-border selection and selection processing step of transmitting selection and selection instruction information for the purchased product to the warehouse center terminal;
How the service providing device works. 13. The method of claim 12,
The processing step is
When the logistics process is a cross-border packaging process, based on the cross-border recipient identifier information extracted from the fulfillment order information, cross-border packaging processing for repackaging one or more packaged products corresponding to the same cross-border recipient identifier information step; further comprising
How the service providing device works. 14. The method of claim 13,
The cross-border packaging processing step is,
A cross-border packaging step of analyzing a three-dimensional packaging method of the packaged product based on the loading variable information for the product included in the product information, and outputting shipping and packaging information as a result of the analysis;
How the service providing device works. 15. The method of claim 14,
The cross-border packaging step is
A loading order determination step of acquiring the loading order information by reflecting a weight (WEIGHT) corresponding to a preset importance index for information extracted from one or more of weight, hardness, volume, and damage safety from the loading variable information; containing
How the service providing device works. 16. The method of claim 15,
The cross-border packaging step is
3D shape build analysis step of three-dimensional modeling the shape of the packaged product and determining the loading arrangement form according to a preset loading algorithm using the three-dimensional shape information obtained through the three-dimensional modeling and the loading order information; but,
The loading algorithm fits to be filled in a hexahedral shape using the three-dimensional shape information, generates one or more hexahedral models according to the selective arrangement form of the fit, and the hollow volume value formed inside the hexahedral model is Characterized in determining the hexahedral model calculated as the minimum value as the outermost product packaging volume information
How the service providing device works.

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