WO2018131814A1

WO2018131814A1 - Delivery person recommendation method using big data analysis

Info

Publication number: WO2018131814A1
Application number: PCT/KR2017/015002
Authority: WO
Inventors: 조준우
Original assignee: 주식회사 투엔
Priority date: 2017-01-11
Filing date: 2017-12-19
Publication date: 2018-07-19

Abstract

A delivery person recommendation method using big data analysis, according to one embodiment of the present invention, comprises the steps of: (a) receiving, from a client, delivery goods information including size, quantity, weight, delivery start point, and delivery destination of delivery goods; (b) sorting delivery persons on the basis of the delivery goods information; (c) providing, to the client, a delivery person list including the sorted delivery persons; and (d) receiving an input of the client selection and determining a delivery person from the delivery person list.

Description

How to recommend shippers through big data analysis

The present invention relates to a method of recommending a carrier that leads the client and the shipper through a web or mobile program provided by a delivery brokerage service, and more particularly, a delivery intermediary that brokers a shipper who delivers goods between the client and the recipient. The present invention relates to a method of recommending a carrier through big data analysis that selects a carrier suitable for a client's propensity and a kind of a delivery product to a client, and matches each other when the client selects a recommended carrier.

Recently, as home shopping is becoming more common, delivery services such as freight, courier service, and quick service have become specialized. As delivery service providers increase and become more specialized, the delivery system is systematically developed, and the present delivery system is provided.

For example, a delivery service includes a freight, a courier service, and a quick service. Since a courier service is designated by a region, a client can select a delivery company, but cannot select a courier. In addition, since the courier company is also assigned to the area in charge, regardless of the type of delivery goods, all of the delivery items classified in the region has a mandatory force must be delivered by the person in the region.

On the other hand, a delivery system such as cargo or quick service receives a request from a call center, delivers the received information to a terminal linked between the call center and the shipper, and takes over the client's goods among the deliverers who have received the delivery. The carrier best suited for receiving is operated by a delivery service.

In particular, since income from the delivery system, such as cargo or quick service, is calculated according to the number of successful deliveries performed by the shipper, unreasonable matching is attempted for the importer who is not suitable to take over the client's goods. In addition, attempting to resolve a large number of deliveries at once can result in frequent delivery errors.

Various efforts have been made to improve the satisfaction of the delivery service for the same reason as described above. For example, Korean Patent Application Publication No. 10-2016-0012537 "Delivery Order Provision Method" has been published. Only those requests matching the movement route to the destination among the registered delivery requests are processed and transmitted to the shipper terminal, and the shipper selects one of the requests registered in the terminal and includes it on the corresponding route. It is configured to identify all other requests made so that the shipper can easily receive all the delivery requests along the route of their choice.

In another example, Korean Patent Application Publication No. 10-2009-0056213 discloses a "real-time delivery system using a user shipper", and the prior art has a rating among users subscribed to a delivery system provided by a company through web or mobile. It provides the technology to pay the superior user according to the defined profit structure when directing the goods or on behalf of other clients.

The above prior arts can improve the quality of the delivery service by facilitating the delivery conditions of the shippers who will deliver the shipments, but are not technologies that consider the clients who actually pay the price and request the valuable goods. Therefore, it is very natural that the client should trust the delivery service and develop a delivery service that can repay the trust.

The present invention was created in order to more actively solve the above problems, by analyzing and selecting a suitable carrier according to the propensity of the client and the type of delivery, by recommending to the client to select the carrier, the client delivers The challenge is to provide a method of recommending a carrier that is suitable for the client and the propensity of the package to induce the improvement of trust in the brokerage service and to enjoy the benefits of the delivery service based on the trust.

The shipper recommendation method through big data analysis according to an embodiment of the present invention for achieving the above technical problem, (a) a shipment including the size, quantity, weight, delivery origin and delivery destination of the shipment from the client; Receiving information; (b) selecting a shipper based on the shipment information; (c) providing the client with a list of carriers including the selected carriers; And (d) determining a shipper by receiving a selection input of the client from the list of shippers.

Shipper recommendation method through big data analysis according to another embodiment of the present invention, after analyzing the size, quantity, weight of the shipment received by the client to determine the propensity of the shipment, the carriers registered in the delivery brokerage service Carrier first screening step (S10) for selecting the carriers having the propensity and appropriate information of the shipment; and analyzes the origin, destination, and delivery time of the shipment to determine the delivery information of the shipment, and then the first selected delivery Shipper second sorting step (S20) for selecting a carrier having the delivery information and the appropriate information of the shipment among the persons; and After sorting and listing the different shippers matching the information from the similar shippers, and deliver the sorted list of shippers to the client, the carrier matching step for the client to select the shipper (S30); It is characterized by recommending a suitable carrier to the client.

According to the present invention having the above-described configuration, when the client requests goods to be delivered to a delivery brokerage service, the client is not a method in which the delivery broker service manager inputs an arbitrary shipper closest to the client's waiting area. By selecting the shipper with the desired conditions to close the deal, the client's reliability is improved, and the delivery can be safely and quickly delivered.

1 is a flowchart illustrating a delivery method recommendation method through big data analysis according to an exemplary embodiment of the present invention.

2 is a flowchart illustrating an example of a method of selecting a carrier illustrated in FIG. 1.

3 is a flowchart illustrating a delivery method recommendation method through big data analysis according to another exemplary embodiment of the present invention.

DETAILED DESCRIPTION Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and like reference numerals designate like parts throughout the specification.

Throughout the specification, when a part is "connected" to another part, this includes not only "directly connected" but also "electrically connected" with another element in between. . In addition, when a part is said to "include" a certain component, which means that it may further include other components, except to exclude other components, unless specifically stated otherwise, one or more other features It is to be understood that the present disclosure does not exclude the possibility of the presence or the addition of numbers, steps, operations, components, parts, or combinations thereof.

The following examples are detailed description to aid in understanding the present invention, and do not limit the scope of the present invention. Therefore, the same range of inventions that perform the same functions as the present invention will also fall within the scope of the present invention.

The present invention relates to a method for recommending a shipper leading a client and a shipper through a web or mobile program provided by a delivery brokerage service.

First of all, the delivery brokerage service, which brokers the shipper who delivers the goods between the client and the recipient, selects a carrier that is suitable for the client's inclination and the type of package, and then recommends the client to the client. Please note that it is about the method of recommending the shipper through big data analysis.

In addition, the present invention securely delivers the shipment requested by the client to the recipient, as well as selecting at least one carrier suitable for the client's disposition and the type of the shipment, and directly selecting the selected carriers at the client's judgment. By entrusting, the purpose is to induce the client to increase the trust in the delivery service and to enjoy the benefits of the delivery service based on the improved trust.

Prior to the description of the present invention, the shipper in the present invention includes a member who has been granted authority related to shipping among the general persons who have subscribed to the delivery brokerage service, in addition to the staff in charge of the delivery service of the delivery company.

For example, the current alternative delivery service is mainly for the client to visit the shipping company, pay the amount, and register the shipping address. The shipping agent takes over the delivery and performs the shipping business, and the client visits the shipping company by phone. When requesting the delivery address, the local representative of the client visits the client to take over the shipment, and the local representative of the client delivers the shipment to the person in charge of the delivery so that the delivery is performed.

However, the above delivery service is designated by the courier to be in charge of each region, the regional coordinator must deliver all the goods in the area, the client was also forced to ask the shipper who wants to deliver the valuable goods.

Therefore, the present invention analyzes the delivery of the client and selects the carriers according to the propensity of the analyzed package, and then delivers the information of the selected carriers to the client, the client directly selects the carriers according to the characteristics of the shipment and the client. It is a method of providing a delivery brokerage service to improve the reliability and delivery business of the delivery service.

The system for providing a delivery brokerage service includes a server and a client terminal of a client and a shipper connected to the server through a communication network.

The server is connected to the user terminal of the client and the user terminal of the shipper through a communication network, receives the carrier information from the shipper's user terminal, provides it to the client terminal of the client, and matches the client and the shipper according to the client's selection. It is characterized in that to control the overall process of the delivery brokerage service, such as.

Here, the client terminal of the client and the sender means a communication terminal that can use the terminal application in a wired / wireless communication environment. The user terminal may be a portable terminal of the user. The portable terminal is not limited to a smart phone and may be borrowed without limitation for a terminal capable of mounting a terminal application.

On the other hand, the communication network serves to connect the server and the user terminals. That is, the communication network refers to a communication network that provides a connection path for transmitting and receiving data after the user terminals access the server. The communication network may be a wired network such as local area networks (LANs), wide area networks (WANs), metropolitan area networks (MANs), integrated service digital networks (ISDNs), or wireless networks such as wireless LANs, CDMA, Bluetooth, and satellite communications. It may encompass, but the scope of the present invention is not limited thereto.

Referring to FIG. 1, in a delivery method recommendation method through big data analysis according to an embodiment of the present invention, a server obtains delivery information from a user terminal of a client (S110).

Here, the shipment information may be information including the size, quantity, weight, delivery origin and delivery destination of the shipment.

Next, in the delivery method recommendation method through big data analysis according to an embodiment of the present invention, the server selects the delivery person based on the delivery information (S120).

In step S120, the server may determine the propensity of the shipment based on the shipment information, and select the shipper based on the propensity of the shipment.

In an optional clause embodiment, in step S120, the server may select a shipper in consideration of a delivery origin and a delivery destination included in the shipment information, and a delivery route of the shipper. Details thereof will be described later with reference to FIG. 2.

Next, in the method of recommending a shipper through big data analysis according to an embodiment of the present invention, the server provides a list of shippers including the selected shipper to the client terminal of the client (S130).

Next, in the delivery method recommendation method through big data analysis according to an embodiment of the present invention, the server receives the selection input of the client for the delivery list and determines the delivery address (S140).

As an optional embodiment, when delivery starts, the server may periodically obtain location information of the shipper and provide it to the client.

In this way, the present invention allows the client to periodically check the location of the shipper being delivered, thereby enabling the client to easily check the delivery progress.

As an optional embodiment, the server may store the history information that the client has requested in the past, and provide the client with the list of the requested senders based on the history information.

Through this, the present invention can be made to the request to the carrier used in the past, while checking the carrier history that the client requested in the past.

Referring to FIG. 2, the server according to an embodiment of the present invention selects a shipper using a ship's movement path, a ship origin, and a ship destination.

First, the server may extract waypoints from the delivery route of the shipper (S210).

In this case, the movement path may include at least one of a carrier's periodic movement path and a predetermined movement path.

The periodic movement path may be a movement path generated by periodically obtaining location information from a shipper's user terminal, or may be a movement path generated based on location information previously input by the shipper.

In addition, the predetermined movement route may be a movement route generated by the shipper based on location information input by the shipper.

Here, the waypoint is a point that the shipper must pass through for the shipper's own schedule, and may be determined by inputting directly from the shipper.

Next, the server may calculate a first path connecting two consecutive waypoints among the waypoints (S220).

The waypoint at step S220 may include the current location.

Here, the first route may be a route when the shipper moves without delivery.

For example, if the delivery route of the shipper is the current location (A) -first waypoint (B1) -second waypoint (B2), the first path may be A-B1 or B1-B2.

Next, the server may calculate a second route connecting the first waypoint, the delivery origin, the delivery destination, and the second waypoint (S230).

Here, the second path may be a path when the shipper performs delivery.

For example, if the delivery route of the shipper is the current location (A)-the first waypoint (B1)-the second waypoint (B2), and the delivery origin is C1 and the delivery destination is C2, the second route is A-C1-C2. -B1 or B1-C1-C2-B2.

As an optional embodiment, the server may calculate the above paths using three or more waypoints.

For example, if the delivery route of the shipper is the current location (A)-the first waypoint (B1)-the second waypoint (B2), and the delivery origin is C1 and the delivery destination is C2, the first route is A-B1-B2. And the second path may be A-C1-B1-C2-B2.

Next, the server may compare the estimated time required for the shipper to move along the first path and the second path (S240).

That is, the server may compare the time required for the two paths when the shipper does not perform delivery and when the delivery is performed.

Next, the server may select the shipper based on whether the difference between the estimated times falls within a preset reference time range (S250).

Here, the reference time may vary depending on whether the domestic short-range delivery, domestic long-distance delivery or overseas delivery.

For example, the reference time may be one hour for domestic short-range delivery, four hours for domestic long-distance delivery, or twelve hours for overseas delivery. Examples of the reference time are not limited to the above-described examples.

Applying this, if the shipment is a local short-range delivery, the server may select the carriers that the difference between the time along the first route and the time along the second route is less than one hour.

Accordingly, the present invention can select a carrier that can carry out the delivery while passing all the waypoints of the destination without significantly changing the route of the shipper's existing route or the route to move forward. have.

In particular, FIG. 3 is a flowchart sequentially illustrating a process in which delivery is performed by subdividing a process of selecting a delivery person by a client step by step.

The method for recommending a shipper suitable for the type of delivery and the propensity of the client is carried out in the following steps.

A carrier first sorting step (S10) of selecting a shipper suitable for a client and a shipper's propensity; and a second sorting step (S20) of a shipper sorting a carrier suitable for a shipment's origin, destination, and delivery time; and The carrier matching step (S30) for selecting the carriers included in the movement route from the departure point to the destination. Here, step S10 and step S20 may be performed at the same time.

In the first step of sorting the shipper (S10), when the client receives the shipment to the delivery brokerage service, the delivery brokerage service manager identifies the type, size, shape, weight, and quantity of the shipment and registers it in the database. There is an Internet access registration where a client directly registers a type, size, shape, weight, quantity, etc. of a package on a web or mobile through an application provided by a delivery brokerage service and registers it in a database.

When the client's deliveries are stored in the database as described above, the delivery brokerage service selects the best carrier to deliver the client's shipments based on the information of the shippers registered in the database.

The information on the shippers registered in the delivery brokerage database here is based on the shipper's primary location, the type of vehicle the shipper has, the type of shipper preferred, the date and time the shipper can deliver and the shipper's delivery. After that, customer satisfaction is collected and the above information is collected in the following steps.

The above information of the shipper is the carrier movement path pattern analysis step (S11), the carrier vehicle holding step (S12), the shipper preferred delivery step (S13), the shipper business hours step (S14) and In this case, the shipper satisfaction grasp step S15 may be sequentially stored and stored in a database. Alternatively, steps S11 to S15 may not be performed sequentially, and some of them may be performed at the same time.

The shipper movement path pattern analysis step (S11) is to classify the route by classifying the delivery staff of the shipping specialists affiliated with the delivery brokerage service of the present invention, and the shipping members who are authorized to perform the shipping business among the members subscribed to the delivery brokerage service. Figure out.

In the case of a shipping specialist of a shipping company, it identifies and stores the person in charge in the database in the same way as a normal shipping system.In the case of a shipping member, the database identifies the shipping members who regularly go on a trip or regularly move to a designated area. As the route pattern is analyzed by storing the information in the future, if the destination information received by the client is the same as the route of the shipper, it is determined whether the package can be delivered to the shippers included in the route, By providing a list of available carriers to the client, the client selects a carrier that meets the client's disposition from the corresponding carrier and entrusts the client with the delivery request.

In particular, the shipper movement path pattern analysis step (S11) is a long-distance delivery when there is a delivery member who travels to an interregional region or a country between countries, and the delivery member is determined to deliver a shipment requested by the client. The service is realized, and the delivery brokerage service can provide the delivery service to the client without wasting extra manpower, and the delivery member can take a separate profit because the delivery member only needs to deliver the goods in the planned trip anyway. There is.

On the other hand, by analyzing the social infrastructure traffic resources such as aviation, harbor, railroad, express bus, and automobile used by shippers who have made long distance delivery between regions and countries, the optimal delivery conditions are always analyzed and similar long distance delivery is requested in the future. If necessary, we will provide the shipper with the best shipping conditions to improve the efficiency of the delivery and encourage safe delivery of the goods.

Carrier vehicle holding step (S12) is a process of identifying the means of transportation owned by the carrier, the optimal transportation means in consideration of the type, distance, weight and desired delivery time of the goods received by the client in the delivery brokerage service The purpose is to find a carrier that has

The shipper's vehicle may be provided by the courier if the courier is a courier, providing all information about the courier, or by courier registering directly with the courier service. In the case of membership, information can be obtained by inputting possession of transport resources and types of transport resources.

The reason for identifying the shipper's vehicle is that the client has received information such as the type, distance, weight, and desired delivery time of the package received by the intermediary service, and then the shipper who has the appropriate transportation resources for the case. Recommended for.

For example, if a package is received that requires bulky and fast delivery, we recommend to the client a carrier who owns a motorcycle or uses public transportation such as subway or bus. On the contrary, if a package is bulky or a shipment is requested that requires long-distance delivery within the region, we recommend a carrier with a taxi, express bus, or own vehicle to the client, and if it is close to a local street, go by bicycle, motorcycle or foot. Recommend the possible shipper to the client.

On the other hand, if there are two or more types of transport resources owned by the shipper, the most frequently used transport resources are classified and stored in the database, and when the client selects a carrier with two or more types of transport resources, the client adds the transport resources desired by the client. Provided for selection.

In the step S13 of identifying preferred shippers, there are obviously some shippers who have a dissatisfaction with the shipment because there are various types of shipments requested by the client. It is intended to prevent the situation in which the shipper rejects the client's delivery after matching between the client and the shipper, such as the reason that a carrier with an animal allergy cannot deliver the animal. Purpose.

The method of determining the above-mentioned shipper's preferred delivery method is the same as the shipper's vehicle holding step (S12), in the case of a shipping company's shipping agent, the method in which the corresponding company is provided with all the information about the shipping agent or the delivery person directly delivers There is a method of registering in a brokerage service, and in the case of a shipping member of a delivery brokerage service, a method of obtaining information by inputting at least one type of a preferred delivery product at the time of membership registration.

The shipper business time grasp step (S14) is for the purpose of identifying a shipper that can deliver the delivery requested by the client at the time the client wants.

If you are a shipping employee of a shipping company, you must follow the business hours of the shipping company.However, if you are a shipping member who has the authority to ship in the shipping brokerage service, you do not set a separate working time. The delivery brokerage service may be delivered.

For example, the above shipping member enters the time that can be delivered when signing up for a brokerage service, and stores it in the database.However, if the client selects a shipper and attempts matching, the shipper sends a text or alarm to the selected shipper to send the shipper the delivery date Encourage them to know if they can be delivered in time.

Finally, the shipper satisfaction grasping step (S15) not only induces the shipper to carry out the delivery more safely and kindly, but also allows the client to freely select the shipper and induces the selected shipper to be trusted. For the purpose.

Said shipper satisfaction grasping step (S15) is calculated by the client and the recipient by the five-point method, respectively, and calculates and displays the average value. The evaluation criteria, in the case of the client, evaluate the sender's kindness, negotiation time with the client after matching, total time delivered after receiving the goods, and the recipient evaluates the sender's kindness, delivery time, and condition of the package.

In particular, the information of the shipper is periodically updated to deliver more accurate shipper information to the client.

Therefore, the shipper primary screening step (S10) selects a carrier having information matching the type, size, shape, weight, quantity, etc. of the shipment received by the client based on the information of the carrier stored in the above manner. .

In the second sorting step (S20) of the shipper, the client of the delivery brokerage service receives the final destination of the registered goods registered at the time of receiving the shipment to the delivery brokerage service, and the date and time of the delivery service. Analyzing the carriers that match or deliver the above delivery information from the carriers stored in the, and the list of the analyzed carriers to recommend or recommend to the client.

Said shipper secondary screening step (S20) analyzes the origin and final destination of the shipment to determine the delivery distance distance step (S21) classified into neighborhood, region, and country, and determine the delivery date and time desired by the client Shipping destination identification step (S22) to determine the delivery route pattern analysis step (S11), the delivery destination identification step (S23) to determine whether there is a carrier corresponding to the analyzed distance of the carrier information acquired in the step (S11), and the desired delivery date Carrier search step (S24) to determine whether there is a suitable carrier for the destination and the shipper list classification step for classifying and categorizing the shippers with similar conditions from the perfect match among the searched carriers ( S25) is carried out in sequential coarse granular steps.

Meanwhile, in the shipper secondary screening step (S20), the delivery distance distance determining step (S21) is divided into short-range delivery in which delivery between neighborhoods is performed and long-distance delivery between regions or countries. In both short- and long-haul delivery, it is safer for the shipper to take over the shipment to the client, but it may be difficult to find a carrier with perfect travel conditions from the origin to the final destination, especially for long-distance delivery.

Therefore, in case the starting point of delivery is the same but the final destination is different, the moving route of the final destination at the starting point is segmented by section, and then a plurality of carriers included in the relevant section are participated in to make the delivery by the segmented section. It is configured to ensure that the shipment is safely delivered to the final destination.

For example, if a package received in 'Region A' has to reach 'Region D' via 'Region B' and 'Region C', then 'D' It's a good idea to deliver and ship a shipper who is planning to move to "Region", but if the pending shippers in 'Region A' are destinations 'Region B' or 'Region C', Shippers who have transported shipments only to "B or C" and who have arrived in "B or C" move out of "A A" to find a carrier who is planning to move to "D". A shipper in Region B or Region C who has handed over the package to D will deliver the package to Region D.

The above carrier matching step (S30) is from the first carrier sorting step (S10) and the second carrier sorting step (S20) of the carriers selected from the carriers that perfectly match the information of the shipment requested by the client After the delivery information is classified and ordered in the order of similar shippers, the corresponding shipper list is provided to the client, and a matching carrier is selected by selecting a desired shipper from among the listed shippers.

The shipper matching step (S30) is largely composed of a carrier list providing step (S31), a carrier selection step (S32), an additional carrier selection step (S33), and a carrier contact step (S34).

The above step of providing the carrier list (S31) is the first carrier sorting step (S10) and the second person sorting step (S20), among the carriers selected from the shipper that matches the information of the shipment received by the client most Differentiated sequentially in a similar order from sequentially provided to the client. The above list of carriers reveals the shipper's information, including a check area to select the carrier, the carrier's name or nickname, the carrier's transport resources, the carrier's current delivery status, the carrier's current location, and satisfaction with the delivery rating. The client is then encouraged to use the information to select the desired carrier.

The carrier selection step (S32) is a step of selecting a client from one or more of the carriers in the above list of carriers, when the transport resources of the selected carrier may be additionally selected by the client the desired transport resources.

The above additional carrier selection step (S33) is for the purpose of determining the delivery intention to the next selected carrier sequentially when the selected carrier rejects the delivery according to circumstances, and when there are no carriers from the origin to the final destination. In addition, the purpose is to additionally select a carrier to perform relay delivery for each section.

In particular, when it is necessary to select a carrier on the moving path, a separate mark is added to the carrier recommended by the delivery brokerage service, thereby providing convenience for the client to select an additional carrier more easily.

In the step S34 of the shipper, when the client selects a carrier that is determined to be the most suitable and attempts matching with the shipper, a telephone connection is immediately attempted with the shipper or the contact information of the shipper is disclosed. With the above phone connection, the client can make a one-to-one opinion with the shipper, and can identify clear delivery information and the location of the client's contact.

According to the carrier selection method according to the propensity of the shipments configured through the shipper primary sorting step (S10), the shipper secondary sorting step (S20), and the shipper matching step 30, the client delivers When requesting the goods to the delivery brokerage service, the delivery brokerage service manager selects the shipper who meets the desired conditions and closes the transaction rather than injecting any random shipper closest to the client's waiting area. This can improve the client's reliability and ensure safe and fast delivery.

One embodiment of the present invention can also be implemented in the form of a recording medium containing instructions executable by a computer, such as a program module executed by the computer. Computer readable recording media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, the computer readable recording medium may include a computer storage medium. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.

Although the methods and systems of the present invention have been described in connection with specific embodiments, some or all of their components or operations may be implemented using a computer system having a general purpose hardware architecture.

The foregoing description of the present invention is intended for illustration, and it will be understood by those skilled in the art that the present invention may be easily modified in other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are exemplary in all respects and not restrictive. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present invention is shown by the following claims rather than the above description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the present invention. do.

The present invention analyzes and selects a carrier suitable for a client's propensity and type of a delivery product, and then recommends a client to select a carrier, thereby inducing a client to improve trust in a delivery intermediary service, and delivering on the basis of trust. As it relates to a method for providing a recommendation method for a client and a propensity for a delivery product so that a user can easily enjoy the benefits of the service, there is industrial availability.

Claims

(a) receiving from the client the shipment information including the size, quantity, weight, shipment origin and delivery destination of the shipment;

(b) selecting a shipper based on the shipment information;

(c) providing the client with a list of carriers including the selected carriers; And

(d) determining a shipper by receiving a selection input of the client from the list of shippers;

The method of recommending a shipper through big data analysis comprising a.
The method of claim 1,

(e) periodically obtaining the location information of the shipper and providing it to the client when delivery starts;

To further include, the shipper recommendation method through big data analysis.
The method of claim 1,

Step (b) is

Determining the propensity of the shipment based on the delivery information and selecting the shipper based on the propensity of the shipment.
The method of claim 1,

Step (b) is

The shipper is selected based on a shipping origin and a shipping destination included in the shipment information and a movement route of the shipper,

(b1) extracting waypoints in the delivery route of the shipper;

(b2) calculating a first route connecting any successive first and second waypoints of the waypoints;

(b3) calculating a second route connecting said first waypoint, delivery origin, delivery destination, and second waypoint;

(b4) comparing the expected times for the shipper to travel along the first and second paths; And

(b5) selecting the shipper based on whether the difference between the estimated times falls within a preset reference time range.
The method of claim 4, wherein

The route of delivery of the shipper is

And at least one of a periodic movement path and a predetermined movement path of the shipper.
The method of claim 1,

Step (c) is

Providing to the client a list of shippers previously requested by the client;

That, including, the shipper recommendation method through big data analysis.
The method of claim 1,

(f) If the first shipper who has received the shipment from the client does not reach the final destination after the delivery has begun, the route from the section where the primary shipper is located to the final destination is subdivided and Corresponding a plurality of shippers so that a shipment is delivered by relay delivery to a final destination;

To further include, the delivery method recommendation method through big data analysis.
The method of claim 7, wherein

Step (f)

Providing the client with a list of a plurality of carriers included in the segmented section; And

Determining a next shipper or a final shipper by receiving a selection input of the client for a list of a plurality of shippers included in the segmented section;

That, including, the delivery method recommendation method through big data analysis.