KR20220167175A - Product pickup information provision method and system - Google Patents

Abstract

Disclosed in one aspect of the present invention is a method of providing product pickup information on a computing device. The method comprises the steps of: receiving a product pickup request associated with at least one wholesaler, wherein the product pickup request includes pickup date and time information, customer identifier information, and pickup product identification information; generating pickup route information for picking up a requested product based on pre-stored geographic information; and transmitting the generated pickup route information to at least one picker's terminal. The present invention confirms destination information using customer identifier information based on pre-registered customer information, and based on pre-registered wholesaler information, pickup location information is confirmed using pickup product identification information. The pickup route information is generated by considering the pickup location information and the destination information using the geographic information corresponding to the pickup date and time. The pickup route information with an optimized route is generated and provided to pickers.

Description

Method and system for providing product pickup information {PRODUCT PICKUP INFORMATION PROVISION METHOD AND SYSTEM}

The present invention relates to a method of providing information, and more particularly, to a method of providing product pickup information related to buying services.

In general, in a transaction between a wholesaler that supplies products and a retailer that sells products supplied by the wholesaler to consumers, when the retailer receives orders from consumers for products, aggregates the orders, and places an order with the wholesaler, This is done in a way that wholesalers ship to retailers in accordance with the aggregated quantity. In general, when a product is shipped from a wholesaler to a retailer, the wholesaler and the retailer do not directly contact each other, but service personnel are put in to pick up the ordered products from the retailer at the wholesaler's store or warehouse. It is done by brokering the release of products from wholesalers to retailers.

In the wholesale and retail market, complex many-to-many transactions are carried out between many wholesalers and many retailers, and the space for wholesale and retail transactions is quite extensive, making it virtually impossible for individual retailers to directly visit wholesalers and pick up products.

Therefore, pick-up service personnel (hereinafter referred to as 'pickers') visit wholesalers directly to provide purchasing services in accordance with orders from retailers, and in Dongdaemun Wholesale Market, the largest clothing market in Korea, they are buy-in uncles and pick-up uncles. etc. are known. In order to provide a pick-up service in which products ordered by the retailer are provided, the pick-up worker carries the order list and goes around the wholesalers one by one and picks up the products on the order list.

Recently, with the activation of retailers in the online market, the amount of shipment is increasing exponentially, and as a result, delivery management such as effective shipment and pickup service is becoming more important. Effective delivery management in wholesale and retail trade begins with optimal pickup planning. However, it is very difficult to establish a work plan and a work flow of a pick-up worker because a wide variety of routes can be assumed during pick-up and various unforeseen problems may occur during this process.

The pick-up work plan is established directly by the pick-up or the manager who manages the pick-ups. However, according to this method, there is a limit to relying on individual experience or know-how. Accordingly, in the case of an inexperienced pick-up operator or manager, an effective pick-up operation plan cannot be established. In addition, even if there is a plan established by an experienced person, there is no guarantee that the actual pick-up will occur according to the planned time.

An object according to an aspect of the present invention for solving the above problems is to determine the movement of pickups from a pick-up place to a destination based on geographic information pre-stored in a database in response to receiving request information for requesting product pick-up. An object of the present invention is to provide a method and system for providing product pick-up information to pick-ups by generating optimized pick-up movement line information.

According to one aspect of the present invention for achieving the above object, a method for providing product pickup information in a computing device includes receiving a product pickup request associated with at least one wholesaler (the product pickup request includes pickup date and time information, a customer identifier information and pick-up product identification information), based on pre-stored geographical information, generating pickup route information for requested product pickup, and converting the generated pickup route information to at least one pick-up driver. Transmitting to a terminal, including checking destination information using the customer identifier information based on pre-registered customer information, and determining pickup location information using the pickup product identification information based on pre-registered wholesaler information. and the pickup route information may be generated by considering the pickup location information and the destination information using the geographical information corresponding to the pickup date and time.

The method further includes acquiring location information of the at least one pick-up, wherein the pickup route information is generated by considering all of the pickup location information, the destination information, and the locations of the at least one pick-up. It can be.

The pickup product identification information includes a pickup product identifier and information on the number of pickup products, and based on the pickup product identification information, pre-registered product information is matched to calculate at least one of product volume and product weight information And labor efficiency for product pickup can be calculated based on the calculated information.

The labor efficiency is scored in inverse proportion to the labor intensity, and the labor intensity may be calculated based on the number of floors of the building of the pick-up location and the presence or absence of an elevator corresponding to the number of floors in the building.

The method further includes acquiring information related to personal labor efficiency of the at least one pick-up, wherein the information related to personal labor efficiency includes information related to cart ownership and vehicle ownership, and the labor intensity is a threshold. When the score is greater than or equal to, only pickers whose individual labor efficiency is equal to or higher than a certain level based on the information related to the individual labor efficiency may be considered as candidate pickers.

The pickup movement line information may be calculated by comprehensively considering a first factor related to a moving distance, a second factor related to a moving time, and a third factor related to labor efficiency.

The first factor, the second factor, and the third factor are considered with a preset first weight, the first weight is learned by a first deep learning model, and the first deep learning The model may be learned using, as a training data set, a first weight included in pickup movement route information selected by the pick-up among pickup movement route information transmitted to the terminal of the at least one pick-up.

The first factor, the second factor, and the third factor are factors of a first class, and lower factors considered for calculating scores related to the factors of the first class are factors of a second class It can be defined as factors of a first class.

Factors of the second class associated with the third factor include (i) a 3-1 factor related to product weight and volume, (ii) a third factor related to the number of floors of the building at the pick-up location and information on whether or not there is an elevator corresponding to the number of floors of the building. It may include a 3-2 factor and (iii) a 3-3 factor related to at least one of the presence, location, and method of a parking lot associated with the pick-up location.

At least one factor of the first class is calculated, a plurality of factors of the second class are considered with a preset second weight, the second weight is learned by a second deep learning model, The second deep learning model may be learned using, as a training data set, a second weight included in pickup movement route information selected by the pick-up among pickup movement route information transmitted to the terminal of the at least one pick-up.

When the product pickup request includes a first pickup request from a first pickup location to a first arrival location and a second pickup request from a second pickup location to a second arrival location, the pickup route information includes (i) the first pickup request a single route through which the person arrives at the first destination and the second destination via the first pickup location and the second pickup location, and (ii) the first pickup delivers from the first pickup location to the first destination; A plurality of parallel paths may be created for the second pick-up to arrive at the second destination via the second pick-up location.

The method further comprises comparing the single path with the plurality of parallel paths, wherein the single path calculates by scoring and offsetting a portion in which a gain and a portion in which a loss are greater than the plurality of parallel paths, The portion is calculated in consideration of the travel time, and the portion of the damage may be calculated in consideration of the travel distance and work cost.

The geographic information may include information on a 2-dimensional structure on a road plane and a 3-dimensional structure based on a building structure.

The 3D structure may include information related to at least one of information about whether an elevator exists in a specific building, a location of a parking space, and a method of providing a parking space.

The pickup movement line information may be provided as content simulating a pickup process in three dimensions.

The pickup route information is displayed on geographic information, and when the pickup route information is visualized, information on a pickup product corresponding to the pickup location may be visualized and displayed together.

According to another aspect of the present invention for achieving the above object, an apparatus for providing product pickup information in a computing device includes a communication module communicating with at least one customer terminal and at least one pickup terminal, electrically with the communication unit connected, receiving a product pickup request associated with at least one wholesaler from the at least one customer terminal, generating pickup movement line information for requested product pickup based on pre-stored geographical information, and at least one A processor for transmitting to a terminal of a pick-up and a memory electrically connected to the processor and storing instructions related to the operation of the processor, wherein the product pickup request includes pickup date and time information, customer identifier information, and pickup product identification information. wherein the processor checks destination information using the customer identifier information based on pre-registered customer information, and checks pickup location information using the pickup product identification information based on pre-registered wholesaler information; , The pickup route information may be generated by considering the pickup location information and the destination information using the geographical information corresponding to the pickup date and time.

According to another aspect of the present invention for achieving the above object, a computer program stored in a medium includes receiving a product pickup request associated with at least one wholesaler (the product pickup request includes pickup date and time information, customer identifier information, and including pickup product identification information), confirming destination information using the customer identifier information based on pre-registered customer information, and pickup location information using the pickup product identification information based on pre-registered wholesaler information. Checking, based on pre-stored geographical information, generating pickup route information for the requested product pickup (the pickup route information using the geographical information corresponding to the pick-up date and time, generated by considering the pick-up place information and the destination information) and the step of transmitting the generated pick-up route information to at least one pick-up's terminal.

According to the product pickup information providing method and system of the present invention, in response to a product pickup request, based on geographic information corresponding to the pick-up date and time, optimized pickup route information considering optimal pickup travel distance, travel time, and labor efficiency is provided to the pick-up user. Provided, there is an effect of supporting pickupers to efficiently pick up and deliver products.

1 is a block diagram schematically showing a system to which a product pickup information providing method according to an embodiment of the present invention is applied;
2 is a detailed block diagram for specifically explaining the configuration of a web page provided by the shopping mall purchase service platform of FIG. 1;
3 is a flowchart schematically illustrating a method of providing product pickup information according to an embodiment of the present invention;
4 is a conceptual diagram for enumerating and explaining various factors used in determining a pickup route;
5 is a conceptual diagram for explaining a method of differently setting a pickup route from a pick-up location to a destination based on various factors;
6 is a table showing the results of analyzing characteristics related to labor intensity from points A to D in FIG. 5;
7 is a table showing information related to individual labor efficiency of the pick-ups of FIG. 5;
8 is a conceptual diagram for explaining content obtained by three-dimensionally simulating pickup movement information;
9 is a block diagram illustrating an apparatus for providing product pickup information according to an embodiment of the present invention.

Since the present invention can make various changes and have various embodiments, specific embodiments are illustrated in the drawings and described in detail.

However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention.

Terms such as first and second may be used to describe various components, but the components should not be limited by the terms. These terms are only used for the purpose of distinguishing one component from another. For example, a first element may be termed a second element, and similarly, a second element may be termed a first element, without departing from the scope of the present invention. The terms and/or include any combination of a plurality of related recited items or any of a plurality of related recited items.

It is understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, but other elements may exist in the middle. It should be. On the other hand, when an element is referred to as “directly connected” or “directly connected” to another element, it should be understood that no other element exists in the middle.

Terms used in this application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, the terms "include" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in the present application, they should not be interpreted in an ideal or excessively formal meaning. don't

Hereinafter, with reference to the accompanying drawings, preferred embodiments of the present invention will be described in more detail. In order to facilitate overall understanding in the description of the present invention, the same reference numerals are used for the same components in the drawings, and redundant descriptions of the same components are omitted.

1 is a block diagram schematically showing a system to which a method for providing product pickup information according to an embodiment of the present invention is applied. As shown in FIG. 1, the system for providing product pickup information according to an embodiment of the present invention may include a shopping mall purchase service platform 100, a wholesaler 110, a customer 120, and a pickup 130. there is.

Referring to FIG. 1, the shopping mall purchase service platform 100 receives product pickup request information for delivering products from the wholesaler 110 to the customer 120, and responds to the received request to the pick-up user 130 at an optimal price. It performs a function of generating pickup movement line information of and providing it to the pick-up person 130. In addition, the wholesaler 110, the customer 120, and the pick-up person 130 also perform product ordering, ordering, payment, and settlement functions. This may be implemented by a high-capacity server, a cloud server, or a general or specialized computing device. A server operating the shopping mall purchase service platform 100 may be called a product pickup information providing device, a product pickup information visualization device, and the like.

The shopping mall purchase service platform 100 processes a pickup request based on the pickup deadline (or may include accurate pickup date and time information), customer identifier information (shopping mall store identification information), and pickup product identification information included in the request information. . The shopping mall purchase service platform 100 infers the destination information of the pickup product using pre-registered customer information (shopping mall information) and uses pre-registered wholesaler information based on the product identification information to confirm which wholesaler it is. , pick-up location information can be grasped. In addition, the server generates pickup movement line information based on geographical information pre-stored in a database (not shown) that interworks with the shopping mall purchase service platform 100. The pickup route information may be generated by considering at least one of pickup location information, destination information, and location information of the pick-up 130 using geographic information corresponding to the pickup date and time. The pickup movement line information generated in this way is transmitted to the terminal of at least one pickup person 130 .

The wholesaler 110 may register in the shopping mall purchase service platform 100 and use product registration, purchase order confirmation, product release processing, and settlement services. The wholesaler 110 is a company that sells products to customers 120 (eg, shopping mall operators), and may register products on the platform 100 to induce purchase of products from customers 120 . The wholesaler 110 may represent a Dongdaemun market wholesaler or a store manager belonging thereto.

The customer 120 is a buyer who purchases a product from a wholesaler and may be an operator who operates a shopping mall. The customer 120 purchases a product from the wholesaler 110 and puts it in a shopping mall operated by the customer. Here, the product may be called a product, a pickup product, a pickup target product, and the like. When a customer 120 orders a product using the shopping mall purchase service platform 100 without directly visiting the Dongdaemun Wholesale Market, an appropriate pick-up person 130 is automatically assigned in response to the order and the product can be delivered. The customer 120 can basically register basic information related to the shopping mall operated by the customer and use the above service.

The pick-up person 130 registers his/her personal information in the shopping mall buying service platform 100, delivers his/her location information to the shopping mall buying service platform 100 in real time or near real time, and performs operations related to the appropriate pickup service. can be allocated At this time, the shopping mall purchase service platform 100 determines the optimal travel distance, travel time, Pickup movement line information considering at least one of labor efficiency may be generated. Then, the generated pickup movement line information may be transmitted to the associated pickup 130 .

In the embodiment of FIG. 1, the wholesaler 110, the customer 120, and the pick-up 130 are described, but this refers to communication terminal devices used by the wholesaler 110, the customer 120, and the pick-up 130. may be referring to. This is basically a device including a processor, memory, and communication module, and may be implemented as a general-purpose computer, a special-purpose computer, a smart phone, a laptop, a desktop, or a personal digital assistant (PDA). In particular, the parts described as the wholesaler 110, the customer 120, and the pickup 130 use a terminal device to an application or web page provided by the shopping mall purchase service platform 100. By logging in, it will be apparent to those skilled in the art that it can be understood to include performing an operation associated with the shopping mall purchase service platform 100.

Additionally, in the embodiment of FIG. 1 , the wholesaler 110 , the customer 120 and the pickup 130 all register unique information on the shopping mall purchase service platform 100 . Then, the service provided by the shopping mall purchasing service platform 100 can be used through a log-in operation.

First, when the wholesaler 110 registers a product on the shopping mall purchase service platform 100, the customer 120 may order the registered product. When an order request is received, the shopping mall buying service platform 100 creates an order form and provides it to the wholesaler 110 and the pickup person 130 . The wholesaler checks the delivered purchase order and dispatches the product. The picker 130 performs a warehousing operation of going to a location (eg, an affiliated warehousing company) where a wholesaler has shipped and processed and picks up a product. At this time, the picked up product is delivered to the customer 120 .

The customer 120 inspects the goods received after delivery is completed, and if there is no abnormality, payment is processed. Payment processing does not necessarily have to be made in arrears, and can be processed in advance at the same time as ordering a product. When the payment is completed, the settlement is made to the wholesaler 110 and the picker 130. At this time, a settlement (refund) operation may also be performed for the customer 120 by checking undelivered items or defective products.

FIG. 2 is a detailed block diagram for specifically explaining the configuration of a web page provided by the shopping mall purchase service platform of FIG. 1 .

Referring to FIG. 2, the shopping mall purchase service platform 200 includes a customer management module 210 for managing customers, a wholesaler management module 220 for managing wholesalers, and a picker management module 230 for managing pickers and operating module 240. The above-described modules 210, 220, 230, and 240 may be implemented as a processor in one computing device or may be implemented as different computing devices.

The customer management module 210 displays a web page related to customer management on a terminal of a shopping mall operator and serves as an interface with customers. The customer management module 210 has a product display function (curation function). The customer management module 210 supports a customer to select a desired product by displaying various products by category, from new products updated daily. At this time, the product order can be performed as a general order to request purchase by viewing and ordering products registered on the website, and a direct order to request purchase in large quantities (more than a critical number) by filling out wholesaler and product information to be purchased in the form of an order form. there is. Furthermore, even ordering manufactured products for producing desired products can be performed with one click through the web page provided by the customer management module 210 . Manufacturing product orders are processed through a separate manufacturing product process.

In particular, the customer management module 210 may provide a customized curation function optimized for a corresponding shopping mall based on characteristics of the shopping mall and/or past order history. In addition, an appropriate wholesale store may be recommended based on products handled in the shopping mall.

Additionally, the customer management module 210 has a function of inquiring about orders performed by a shopping mall operator, a function of managing warehousing and inspection, and a function of handling events such as undelivered or defective products delivered, It also provides a refund action function. At this time, undelivered items may be managed separately. In addition, items requiring production orders are separately managed, so that shopping mall operators can more conveniently use purchasing services in the future. In addition, after processing the customer's payment, the function of settlement to the shopping mall and settlement to the wholesaler may be performed.

The wholesaler management module 220 displays a web page related to wholesaler management on the terminal of the wholesaler operator and serves as an interface with the wholesaler. The wholesaler management module 220 performs product registration and management functions such as registering and modifying products handled by the wholesaler. In addition, it is possible to provide a function for checking the purchase order generated by the operation module 240 and appropriately performing product delivery and warehousing processing. In addition, in response to customer payment, the function of settling and managing the amount to be sent to the wholesaler can be performed. This may be performed following the settlement operation first performed in the operating module 240 . The wholesaler management module 220 may provide a function of responding to inquiries from customers.

The pick-up management module 230 displays a web page related to product pickup on the pick-up's terminal and serves as an interface with the pick-up. The pick-up management module 230 manages personal information of a plurality of pick-ups. Personal information of pick-ups includes not only personal information such as the pick-up's age, career, age, gender, and job performance history, but also personal information related to the pickup service's ability to perform pick-up services, such as whether or not a cart is owned, cart capacity, vehicle ownership, vehicle type, and driver's license. Additional information is also included. The pick-up management module 230 selects pick-ups suitable for carrying out work in consideration of labor efficiency based on the various personal information of the plurality of pick-ups, determines an optimal movement line, and delivers the selected pick-up to the corresponding pick-ups. To this end, it performs a function of looking up orders from a shopping mall, provides ordered items to a pick-up when receiving an order, and supports selection of an appropriate pick-up and smooth pick-up work. The pickers go to the wholesaler or the shipping point designated by the wholesaler according to the determined route, pick up the product, and deliver it to the customer.

On the other hand, when the pick-ups receive information on a plurality of pickup routes according to time and decide to execute it, the pick-up management module 230 generates pickup schedule management information for each individual pick-up to process a certain pickup route at a certain time. Allows you to schedule what to do. At this time, it is preferable to schedule the pickup route to be processed at the optimal time by considering for each individual pickup route which time zone the traffic is not congested by reflecting the scheduled traffic status on a daily basis.

The operation module 240 is a module that integrates the customer management module 210, the wholesaler management module 220, and the pick-up management module 230, and is handled by the operator of the shopping mall purchase service platform. The operation module 240 may perform wholesaler registration, modification, and approval, customer (shopping mall) registration, modification, and approval, and product registration, modification, and approval operations. In addition, when an order is received from a customer, the order details are checked and support is provided so that the payment operation can be performed appropriately. In addition, an order form is created and provided to wholesalers and pick-ups. Then, the order deadline is checked in response to the generated order form. Additionally, it may perform a function of completing settlement work to wholesalers, pickers, and customers after payment work. Settlement work includes a function to check and manage multiple settlement details in real time. And, in response to the appropriate completion of payment and settlement, a function of automatically issuing a tax invoice is included. The issued tax invoice is provided to the customer management module 210 so that the customer can check it.

3 is a flowchart schematically illustrating a method of providing product pickup information according to an embodiment of the present invention.

Referring to FIG. 3 , the server of the shopping mall purchase service platform receives request information related to product pickup from a customer (S310). The request may be generated by a customer ordering a product and transmitted to the server. The request may include information such as a pick-up deadline (or pick-up date and time), store identifier, product identifier and number. In this case, the store identifier includes shopping mall store information. The server may check the pick-up destination based on the store identifier. In addition, based on the product identification information, it is possible to determine the supplier (ie, wholesaler) of the corresponding product, and to check the corresponding location for pickup of the product. The relationship between the store identifier and the pick-up destination and between the product identifier and the pick-up location can be grasped by information input at the time of customer and wholesaler information registration. If the request for pickup to a place different from the place information at the time of initial registration is obtained by writing separate place information in the request information.

The server parses the received request information, grasps the pickup location, destination information, product identification information, and number information, and uploads geographic information corresponding to the pickup date (S320). Geographical information may be previously stored in a database. Geographic information includes information on a 2-dimensional structure on a road plane and a 3-dimensional structure based on a building structure. Information related to the two-dimensional structure includes information such as distance between buildings, distance between stores, road traffic status, and real-time traffic status. The information related to the 3D structure includes the number of floors of the building, the structure of the building, the contents of the 3D structure, whether or not the building has an elevator, the capacity of the elevator, whether or not a parking lot is available, a parking method, and parking space information. Since geographic information reflects traffic conditions, it is desirable to bring geographic information corresponding to the pick-up date.

The server creates a pickup route based on the pickup location and destination information of the uploaded geographic information (S330). To this end, a step of receiving current location information of a plurality of pick-ups in real time may be required. The pickup line may be initiated by selecting pickups close to the pickup location. The server selects pickups close to the pickup location and determines them through an optimal path calculation algorithm from the pickup location to the destination. This, the optimal path calculation algorithm calculates the movement line in consideration of the shortest travel distance, minimum travel time, and/or labor efficiency. At this time, labor efficiency is calculated based on information such as the weight and number of pick-up products, whether or not the pickup has a cart, the cart capacity, and the vehicle. In particular, the one with the lower labor intensity is considered the one with the higher labor efficiency.

The server delivers the pickup movement line information generated by the above algorithm to the associated pickup (S340).

Meanwhile, the server may generate a plurality of pickup movement line information and deliver the information to a plurality of pick-ups. At this time, through the step of receiving a pickup decision from the pick-up person, it is possible to control that one pick-up person be assigned to one product pick-up request. In addition, the optimal route calculation algorithm is learned through a deep learning method and processed to enable more accurate pickup movement calculation. At this time, the learning data is the pickup movement line information generated corresponding to the various factors used in learning (the factors are described in more detail in the embodiment of FIG. 4) and the pickup movement line information provided by the pick-up. can be created

4 is a conceptual diagram for enumerating and explaining various factors used in determining a pickup line.

Referring to FIG. 4 , information (factors) used to determine a pickup route includes a factor related to calculating a travel distance, a factor related to calculating a travel time, and a factor related to labor efficiency.

First, the factor related to the calculation of the travel distance includes two-dimensional geographic information such as geographic information related to the pickup's current location and pickup location (eg, location information of the shipping company), and geographic information from the pickup location to the destination. . Also, 3D geographic information such as building structure may be included. The building structure information may include information such as the number of floors of the building, the internal structure of the building, whether or not there is a parking lot, and the location of the parking lot. Accordingly, it is possible to determine where a pickup moving with a vehicle (including a motorcycle) can park and enter the pickup location building.

The factor related to the calculation of the travel time is similar to the factor related to the calculation of the travel distance. However, the travel time may be calculated by reflecting basic traffic information (general road or highway, location of traffic lights, etc.) and real-time traffic information. In addition, as 3D geographic information, information such as the number of floors of a building, internal structure of a building, presence or absence of a parking lot, location of a parking lot, presence or absence of an elevator, and the like may be included. In particular, whether a parking lot exists inside a building (eg, underground) or whether an external parking lot (paid parking lot, etc.) should be used may also be considered important in calculating the travel time. In the case of an external parking lot, since the travel time from the parking lot to the building must be calculated at walking speed, it is preferable that information on whether or not there is a parking lot, the location, and/or the number of parking spaces is also considered as an important factor for calculating the travel time. In addition, when a product is to be picked up or a product to be delivered at a high floor number (which may mean a floor number higher than a threshold value), the presence or absence of an elevator and/or capacity information of the elevator must be considered very important. Depending on whether or not there is an elevator, the travel time to the 15-story building can vary by about 10 minutes.

Next, factors related to labor efficiency may include whether individual pickers have carts, if they do, maximum permissible weight of the carts, product volume, and weight information. Additionally, information such as presence or absence of an elevator relative to the number of floors of the building may be included. The server may calculate a labor intensity score based on the factor related to labor efficiency. The lower the labor intensity, the higher the labor efficiency, and the higher the labor intensity, the lower the labor efficiency. When the product volume and weight are large, labor intensity increases and labor efficiency decreases. Having a cart lowers labor intensity and increases labor efficiency. If the building is higher than the critical floor (eg, the fifth floor) and there is no elevator, labor intensity increases and labor efficiency decreases. In the opposite case, labor efficiency increases. Based on the score according to the labor efficiency, it is preferable that the server weave a traffic line so that the pick-up can reach the pick-up location with high labor efficiency first. This is because it is undesirable when a high labor intensity is experienced from the beginning in the course of reaching a destination after passing through a plurality of pick-up locations, considering the accumulated labor intensity. Therefore, it is preferable to create a pickup line in a form of postponing the pick-up point with the highest labor intensity as much as possible.

5 is a conceptual diagram for explaining a method of differently setting a pickup line from a pick-up place to a destination based on various factors.

Referring to (a) of FIG. 5 , when an order (there may be a plurality of orders) to pick up an item from point A, point C, and point C and deliver it to point D is received, the server determines the distance traveled and/or An optimal pickup route can be created based on the travel time. To this end, the server calculates the shortest travel distance (or travel time) path that reaches D via A, B, and C. First, the server uploads geographic information corresponding to the pick-up date. Then, current location information of the pick-ups is obtained, and a movement route that takes the shortest distance or minimum time to reach D from which pick-up via A, B, and C is calculated. The server may generate an optimal pickup movement line that reaches D from A as a starting point through B-C based on the fact that the pick-up is located near point A. However, it can be seen that only a two-dimensional structure is considered here.

At this time, by applying a factor related to labor efficiency, a pickup line like the embodiment of FIG. 5 (b) may be generated. To check labor efficiency related factors, refer to FIG. 6 .

Figure 6 is a table showing the results of analyzing the characteristics related to the labor intensity of points A to D in FIG.

Referring to FIG. 6 , the server checks all factors related to labor efficiency at points A to C. At this time, point A has a weight (or volume) of 40 kg, point B has 3 kg, and point C has 0.5 kg. Therefore, the labor intensity (inversely proportional to labor efficiency) is given a low score in the order of C point, B point, and A point. Also, in terms of the number of floors in the building, point A is 13F, point B is 4F, and point C is 2F, so A has the highest labor intensity, B follows, and C has the lowest labor intensity. In addition, when checking the factor related to whether or not there is an elevator, there is an elevator at point A, but there are no elevators at points B and C. Therefore, the labor intensity related to the elevator will be the highest at point B, followed by point C and point A. Here, labor intensity and/or travel distance/time may vary depending on whether there is a parking lot and how the parking lot is located (inside a building, underground, above ground, or mechanical). The labor intensity score may be calculated by comprehensively considering a first factor related to product weight/volume and a second factor related to the number of floors of a building and the presence or absence of an elevator, and assigning weights thereto. Here, it can be calculated in consideration of the third factor related to the existence of a parking lot, location, and method.

Considering the weight of the above factors, point A may have a labor intensity of 80 points, point B of 70 points, and point C of 40 points. Considering this intensity of labor, it is desirable to start from point C and pass through point B and point A. Accordingly, the server may generate pickup movement line information going to C-B-A-D based on the pick-up ㉡ close to point C.

FIG. 7 is a table showing information related to individual labor efficiency of the pickers of FIG. 5 .

Referring to FIG. 7, if the labor intensity is greater than or equal to a threshold value (eg, 75 points), only a specific pick-up can withstand the labor intensity, so the server can control only the pick-up corresponding to the pick-up to be selected. . For example, as in the embodiment of FIG. 6 , the server considers the cart possession factor among factors related to labor efficiency for a point A that exceeds the threshold of 75 points, so that only a pick-up with a cart can pick up at that point. You can control it. That is, only pickers ㉠ and ㉢ can pick up at point A, but pick-up ㉠ has a cart with a capacity of 50 kg, while pick-up ㉢ has a cart with a capacity of 30 kg, so it may be difficult to process product pickup at point A. . Therefore, the server can select a pick-up as a more suitable pick-up, and determine a path from the pick-up to D via A to C as a pickup line. It is preferable that the process of selecting a pick-up relative to such labor intensity considers not only the possession and capacity of the cart, but also the possession and capacity of the vehicle.

Returning to (c) of FIG. 5 again, in relation to the pickup line going to D via A, B, and C, if there are a plurality of pickups, the server selects one pickup (eg, ㉠ pickup) goes to D via A-B, and another pick-up (eg, pick-up) can create a plurality of traffic lines going to D via C. To this end, when a plurality of orders (A-B order, B-D order, C-D order) exist in combination, the server receives all the information of pick-ups around the pick-up location of the orders, selects a suitable pick-up for each branch, and then selects A plurality of pickup lines may be created using the true pickups. At this time, the traffic routes of the embodiments of (a) and (b) of FIG. 5 can also be created, but a traffic route in which A-B orders and B-D orders are handled by ㉠ pick-up and C-D orders by ㉡ pick-up can also be created. Considering the travel distance, travel time, and/or labor efficiency, and considering the current assigned pick-up workload of individual pick-ups, both pick-ups do not currently have any assigned work and this compares to the pick-up route that goes through both A-B-C-D, A-B-D and C-D. It is desirable to determine both the gain and the loss of the pickup line when processing in parallel. The gain can be calculated from the travel time part, and the loss can be calculated from the travel distance added when the two routes are added according to the use of the two pick-ups, and the work cost part. At this time, the work cost portion is also related to labor efficiency. In the embodiment of FIG. 5(c), when there are pickers with labor capacity according to the embodiment of FIG. 7, the picker who cannot work at point A exists around the relatively easy point C, so the cost And it can be calculated that ㉠ work can be done in parallel with the pick-up without significantly reducing work efficiency. In this way, for multiple orders, in calculating multiple pickup routes according to multiple pickups, the gain portion in travel time compared to one pickup route (including the distance/time from the operator to the pickup point), cost, and pickup work efficiency Considering the loss part in the part in the way of offset processing, when the gain is greater, it is controlled to be selected. Even at this time, the gain part and the loss part may be scored based on weights, and calculation may be performed.

Meanwhile, the server may determine a total score by considering the travel time factor, the travel distance factor, and the labor efficiency factor as the same or different weights, and then allow a route with a high overall score to be finally selected.

In addition, the travel time, travel distance, and labor efficiency are considered as factors of a first class, and factors included therein, for example, labor efficiency, product weight/volume, number of floors in the building, and presence or absence of elevators are analyzed. A related factor may be defined as a second class factor, and a total score for determining an optimal pickup route may be calculated by setting weights between the first class factors and the weights between the second classes differently. At this time, the pickup movement and weights selected by the picker are created as one learning data set and learned while changing hyper parameters, thereby optimizing the weights related to the first class factor and the weights related to the second class factor. A deep learning-based algorithm for calculating the pickup route can be obtained. Here, additionally, it can be optimized through learning with weights given to the gain part and the loss part for calculating the plurality of pickup lines as a factor of a third class. For example, weights can be assigned such that the gain is calculated by giving a weight of 0.5 to the travel distance and 0.5 to the travel time, and the weight of 0.4 is given to the cost part and 0.6 to the work efficiency part to calculate the damage part. there is.

8 is a conceptual diagram for explaining content obtained by 3-dimensionally simulating pickup movement line information.

Referring to FIG. 8 , the server provides pickup movement line information as simulation content to the pickup terminal using 3D geographic information. For example, in the pickup route for the M-N-O-P point, when point M is the 7th floor of a specific building (eg, room 701) and point N is located on the 8th floor of the building (eg, room 804), A 3D navigation image is generated and provided to reach point M from the entrance of the building via the elevator, and it is confirmed whether the fastest way to reach point N via point M is by using the elevator or using the stairs. We recommend the fastest route in the structure. In the embodiment of FIG. 8 , it is recommended to go to point N using the stairs and to descend by taking an elevator at point N.

On the other hand, when the server generates the simulation content, the product corresponding to the corresponding point and its information (product shape, number of products, product weight / volume, etc.) are visualized and displayed around the point, so that the pickup can We can help you pick up the right product at the branch.

9 is a block diagram illustrating an apparatus for providing product pickup information according to an embodiment of the present invention. As shown in FIG. 9 , the device may include a communication unit 910 , a processor 920 , a memory 930 and an input/output module 940 .

Referring to FIG. 9 , the communication unit 910 is a component for exchanging information with a customer terminal, a wholesaler terminal, and/or a pick-up terminal. The communication unit 910 includes a communication processor associated with a wired or wireless network. The communication unit 910 may include an antenna.

The processor 920 acquires information received from a customer terminal, a wholesaler terminal, and/or a pickup terminal through the communication unit 910, and performs processing such as order processing, product ordering, payment, and settlement according to programming. is an element The processor 920 may include the customer management module 210 of FIG. 2 , the wholesaler management module 220 , the picker management module 230 and/or the operation module 240 . The processor 920 is connected to the memory 930 through a signal line, and executes a program stored in the memory 930.

The memory 930 is a storage device that stores instructions related to programs to be executed by the processor 920 and various data requested by the processor 920 . The memory 930 may be implemented as a local memory inside the device or as an external large-capacity database.

The input/output module 940 includes information input means such as a keyboard and mouse, and information output means such as a monitor, TV, and touch screen.

The system or apparatus described above may be implemented as hardware components, software components, and/or a combination of hardware components and software components. For example, systems, devices and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA) ), programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. A processing device may run an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art will understand that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it can include. For example, a processing device may include a plurality of processors or a processor and a controller. Other processing configurations are also possible, such as parallel processors.

Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, which configures a processing device to operate as desired or processes independently or collectively. You can command the device. Software and/or data may be any tangible machine, component, physical device, virtual equipment, computer storage medium or device, intended to be interpreted by or provide instructions or data to a processing device. , or may be permanently or temporarily embodied in a transmitted signal wave. Software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable media.

The method according to the embodiments may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program commands recorded on the medium may be specially designed and configured for the embodiment or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

Claims (18)

A method of providing product pickup information in a computing device,
Receiving a product pickup request associated with at least one wholesaler, the product pickup request including pickup date and time information, customer identifier information, and pickup product identification information;
Based on pre-stored geographical information (Geographical Information), generating a pickup movement line information for the requested product pickup; and
Transmitting the generated pickup movement line information to at least one pick-up terminal,
Confirm destination information using the customer identifier information based on pre-registered customer information, and confirm pickup location information using the pickup product identification information based on pre-registered wholesaler information,
The method of providing product pickup information, wherein the pickup movement line information is generated by considering the pickup location information and the destination information using the geographical information corresponding to the pickup date and time. According to claim 1,
Further comprising obtaining location information of the at least one pick-up,
The method of providing product pickup information, wherein the pickup movement line information is generated in consideration of all of the pickup location information, the destination information, and the locations of the at least one pickup. According to claim 2,
The pickup product identification information includes a pickup product identifier and information on the number of pickup products,
Based on the pickup product identification information, pre-registered product information is matched to calculate at least one of product volume and product weight information;
Product pickup information providing method of calculating labor efficiency for product pickup based on the calculated information. According to claim 3,
The labor efficiency is scored in inverse proportion to labor intensity,
The method of providing product pickup information, wherein the labor intensity is calculated based on the number of floors of the building of the pick-up location and the presence or absence of an elevator corresponding to the number of floors in the building. According to claim 4,
Further comprising obtaining information related to the individual labor efficiency of the at least one pick-up,
The information related to the individual labor efficiency includes information related to cart ownership and vehicle ownership,
When the labor intensity is equal to or greater than the critical score, only pickers whose personal labor efficiency is at least a certain level are considered as candidate pickers based on the information related to the personal labor efficiency. According to claim 3,
Wherein the pickup movement line information is calculated by comprehensively considering a first factor related to a moving distance, a second factor related to a moving time, and a third factor related to labor efficiency. According to claim 6,
The first factor, the second factor, and the third factor are considered with a preset first weight,
The first weight is learned by a first deep learning model,
The first deep learning model is learned by using, as a learning data set, a first weight included in pickup movement route information selected by the pick-up among pickup movement route information transmitted to the terminal of the at least one pick-up. According to claim 6,
the first factor, the second factor and the third factor are factors of a first class;
A method for providing product pickup information, wherein sub-factors considered for calculating scores related to the factors of the first class are defined as factors of a first class. According to claim 8,
Factors of the second class associated with the third factor include (i) a 3-1 factor related to product weight and volume, (ii) a third factor related to the number of floors of the building at the pick-up location and information on whether or not there is an elevator corresponding to the number of floors of the building. A method for providing product pickup information, including a 3-2 factor and (iii) a 3-3 factor associated with at least one of existence, location, and method of a parking lot associated with the pickup location. According to claim 8,
At least one factor of the first class is calculated, a plurality of factors of the second class are considered with a preset second weight,
The second weight is learned by a second deep learning model;
The second deep learning model is learned by using, as a learning data set, a second weight included in pickup movement route information selected by the pick-up among the pickup movement route information transmitted to the terminal of the at least one pick-up. According to claim 1,
When the product pickup request includes a first pickup request from a first pickup location to a first arrival location and a second pickup request from a second pickup location to a second arrival location,
The pickup route information includes (i) a single route for the first pick-up to reach the first and second destinations via the first pick-up location and the second pick-up location, and (ii) the first pick-up location for the first pick-up location. A method for providing product pickup information, wherein a plurality of parallel paths are generated for delivery from one pick-up location to the first destination and for a second pick-up to arrive at the second destination via the second pick-up location. According to claim 11,
Further comprising comparing the single path and the multiple parallel paths,
The single path is calculated by scoring and offsetting the portion of the gain and the portion of the loss compared to the plurality of parallel paths,
The gain part is calculated in consideration of the travel time,
Wherein the damage portion is calculated in consideration of the travel distance and work cost. According to claim 1,
Wherein the geographic information includes information on a two-dimensional structure on a road plane and a three-dimensional structure based on a building structure. According to claim 13,
Wherein the three-dimensional structure includes information related to at least one of information about the presence or absence of an elevator in a specific building, a location of a parking space, and a method of providing a parking space. According to claim 13,
The pickup movement information is provided as content that simulates a pickup process in three dimensions. According to claim 1,
The pickup route information is displayed on geographic information,
When visualizing the pickup route information, visualizing and displaying information on a pickup product corresponding to the pickup location around the pickup location. In the product pickup information providing device in the computing device,
a communication module communicating with at least one customer terminal and at least one pick-up terminal;
Is electrically connected to the communication unit, receives a product pickup request associated with at least one wholesaler from the at least one customer terminal, and picks up a requested product based on pre-stored geographical information. a processor for generating and transmitting information to at least one pick-up terminal; and
A memory electrically connected to the processor and storing instructions related to the operation of the processor,
The product pickup request includes pickup date and time information, customer identifier information, and pickup product identification information,
The processor checks destination information using the customer identifier information based on pre-registered customer information, and checks pickup location information using the pickup product identification information based on pre-registered wholesaler information,
The pickup movement line information is generated by considering the pickup location information and the destination information using the geographical information corresponding to the pickup date and time. on the computer,
Receiving a product pickup request associated with at least one wholesaler, the product pickup request including pickup date and time information, customer identifier information, and pickup product identification information;
confirming destination information using the customer identifier information based on pre-registered customer information;
Confirming pickup location information using the pickup product identification information based on pre-registered wholesaler information;
Based on pre-stored geographical information, generating pickup route information for requested product pickup, the pickup route information using the geographical information corresponding to the pickup date and time, the pickup location information and the pickup route information. created by taking destination information into account; and
A computer program stored in a medium to execute the step of transmitting the generated pickup movement line information to the terminal of at least one pickup.

Images