Intelligent freight source order grabbing method and system

Abstract

The invention discloses an intelligent freight source order grabbing method and system, and belongs to the technical field of intelligent freight, and the method comprises the steps: responding to a freight demand issued by a target driver, obtaining the identity information of the target driver, and generating a freight request according to a freight vehicle and a freight requirement selected by the target driver and according to the order receiving preference of the target driver; and responding to matching of the target driver and the goods, based on the goods delivery request, through obtaining goods source information, performing matching, generating a plurality of pieces of goods information which can be selected by the target driver according to the requirements of the goods owner, and generating a goods delivery order according to the goods information selected by the target driver. According to the invention, goods can be automatically found, a driver is helped to quickly lock a proper goods source, the information asymmetry phenomenon is effectively reduced, freight resources are more reasonably configured and utilized, diversified requirements of users are met, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent freight technology, and in particular to an intelligent freight source order grabbing method and system. Background Art

[0002] Among the existing driver-cargo matching software, an average of 150,000 drivers log in every day, of which 61,000 (40%) drivers log in for less than 10 minutes, only 47.59% of drivers are online during prime time, and only 49.53% of drivers have less than 20 exposed cargoes, as shown in Table 1.

[0003] Table 1

[0004] It can be seen that there is a serious time mismatch problem between drivers and cargo, and the core has the following four pain points: ① No time to find: You must always be on the terminal, and you can only see the current cargo when you open the APP, and you cannot predict whether there will be cargo in the future ② No cargo at the moment: time mismatch, the cargo on the shelf only accounts for 20% of the total cargo on the day ③ Difficulty: After you take a fancy to a batch of cargo, you need to verify whether the source of cargo information completely matches your own, which is time-consuming and labor-intensive ④ Can't find: It takes a lot of time to search and screen, and it is not clear which route has cargo, and there is a lack of cargo-finding experience of 5-star drivers. Therefore, in order to solve the problems existing in driver-cargo matching, the present invention provides an intelligent freight cargo source grabbing technology, which aims to achieve rapid discovery, accurate matching and efficient order grabbing of freight sources through automated and intelligent means, and improve logistics and transportation efficiency and market competitiveness. Summary of the invention

[0005] In order to solve the problem that drivers do not know when goods will be available, do not know how to find goods, and do not have time to find goods, the purpose of the present invention is to provide an intelligent freight source order grabbing technology, which aims to automatically find goods and help drivers quickly lock in suitable sources of goods.

[0006] In order to achieve the above technical objectives, the present application provides an intelligent freight source order grabbing method, comprising the following steps: In response to the target driver publishing a freight demand, the target driver's identity information is obtained, and a freight request is generated according to the target driver's selected freight vehicle and freight requirements and the target driver's order acceptance preference; In response to the matching of the target driver and the goods, based on the freight request, by obtaining the source of goods information, matching is performed, and according to the needs of the cargo owner, several pieces of cargo information are generated for the target driver to choose from, and a freight order is generated based on the cargo information selected by the target driver.

[0007] Preferably, in the process of obtaining the target driver's order acceptance preference, based on the target driver's identity information, the target driver's historical performance characteristics are obtained, the target driver's order acceptance willingness, vehicle equipment and carpooling willingness are obtained, and the order acceptance preference is generated.

[0008] Preferably, in the process of matching the target driver with the cargo, matching is performed based on vehicle type, load capacity, transportation route and cargo source information, and a number of cargo information is generated for the target driver to select based on the order acceptance preference and the cargo owner's requirements for the cargo transportation process.

[0009] Preferably, during the matching process, the expected time of the cargo owner and the available time of the vehicle, as well as the first matching degree of the origin and the destination are obtained; Obtain the type, weight and volume of the cargo, and the second matching degree with the vehicle model and length; Based on the historical performance of the target driver and the cargo owner, the third matching degree between the target driver and the cargo owner is generated; Matching is performed according to the first matching degree, the second matching degree, and the third matching degree.

[0010] Preferably, in response to the matching process, whether there are special requirements for the source of goods is analyzed, and then according to the driver's historical performance characteristics, a fourth matching degree representing the target driver's willingness to accept the order is calculated, wherein the special requirements include escorted vehicles, less-than-truckload, loading and unloading times, easy-flow monitoring, and wide-body vehicles; Matching is performed according to the first matching degree, the second matching degree, the third matching degree, and the fourth matching degree.

[0011] Preferably, in the process of generating a freight order, based on the target driver's willingness to accept the order and according to several pieces of cargo information generated for the target driver to choose from, cargo information is automatically selected for the target driver according to the third matching degree, and after the target driver and the cargo owner confirm, a transportation contract and a freight order are generated.

[0012] The present invention also discloses an intelligent freight source order grabbing system, comprising: The cargo grabbing module is used to respond to the target driver's delivery demand, obtain the target driver's identity information, and generate a delivery request based on the target driver's selected delivery vehicle and delivery requirements and the target driver's order acceptance preference; The freight matching module is used to respond to the matching of target drivers and goods. Based on the freight request, it obtains the source of goods information and performs matching. According to the needs of the cargo owner, it generates several pieces of cargo information for the target driver to choose from, and generates a freight order based on the cargo information selected by the target driver.

[0013] Preferably, the cargo grabbing module is also used to obtain the target driver's historical performance characteristics based on the target driver's identity information, obtain the target driver's willingness to accept orders, vehicle equipment and willingness to share rides, and generate order preferences.

[0014] Preferably, the freight matching module is also used to match according to vehicle type, load capacity, transportation route and source of goods information, and generate several pieces of cargo information for the target driver to choose according to the order acceptance preference and the cargo owner's requirements for the cargo transportation process. Based on the target driver's willingness to accept the order and the several pieces of cargo information generated for the target driver to choose, the cargo information is automatically selected for the target driver according to the third matching degree, and after the target driver and the cargo owner confirm, a transportation contract and a freight order are generated.

[0015] Preferably, the freight matching module is further used to obtain the expected time of the cargo owner and the available time of the vehicle, as well as the first matching degree of the origin and the destination; Obtain the type, weight and volume of the cargo, and the second matching degree with the vehicle model and length; Based on the historical performance of the target driver and the cargo owner, the third matching degree between the target driver and the cargo owner is generated; A match is performed based on the first matching degree, the second matching degree and the third matching degree. During the matching process, it is analyzed whether there are special requirements for the source of goods, and then the fourth matching degree representing the target driver's willingness to accept orders is calculated based on the driver's historical performance characteristics. The special requirements include escorted vehicles, less-than-truckload, number of loading and unloading times, vehicles with easy flow monitoring, and wide-body vehicles. A second match is performed based on the first matching degree, the second matching degree, the third matching degree and the fourth matching degree.

[0016] The present invention discloses the following technical effects: Improve order-grabbing efficiency: Through automated and intelligent means, rapid monitoring and accurate matching of supply information can be achieved, greatly improving order-grabbing efficiency.

[0017] Optimize resource allocation: effectively reduce information asymmetry and make more reasonable allocation and utilization of freight resources.

[0018] Improve user experience: Provide real-time feedback and personalized services to meet users' diverse needs and improve user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1 It is a schematic diagram of intelligent sorting of vehicles to find goods for solving the problem of time-space mismatch between drivers and goods according to the present invention; Figure 2 It is a complete link diagram of the method described in the present invention; Figure 3 It is a schematic diagram of driver-cargo matching according to the present invention; Figure 4 It is a flow chart of the method described in the present invention. DETAILED DESCRIPTION

[0021] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0022] like Figure 1-4 As shown, the present invention provides an intelligent freight source order grabbing method, comprising the following steps: In response to the target driver publishing a freight demand, the target driver's identity information is obtained, and a freight request is generated according to the target driver's selected freight vehicle and freight requirements and the target driver's order acceptance preference; In response to the matching of the target driver and the goods, based on the freight request, by obtaining the source of goods information, matching is performed, and according to the needs of the cargo owner, several pieces of cargo information are generated for the target driver to choose from, and a freight order is generated based on the cargo information selected by the target driver.

[0023] Further preferably, the intelligent freight source order grabbing method provided by the present invention, in the process of obtaining the target driver's order acceptance preference, obtains the target driver's historical performance characteristics based on the target driver's identity information, obtains the target driver's order acceptance willingness, vehicle equipment and carpooling willingness, and generates order acceptance preferences.

[0024] Further preferably, the intelligent freight cargo source order grabbing method provided by the present invention, in the process of matching the target driver with the cargo, matches are performed according to the vehicle type, load capacity, transportation route and cargo source information, and generates a number of cargo information for the target driver to select based on the order acceptance preference and the cargo owner's needs for the cargo transportation process.

[0025] Further preferably, the intelligent freight source order grabbing method provided by the present invention obtains the expected time of the cargo owner and the available time of the vehicle, as well as the first matching degree of the origin and the destination during the matching process; Obtain the type, weight and volume of the cargo, and the second matching degree with the vehicle model and length; Based on the historical performance of the target driver and the cargo owner, the third matching degree between the target driver and the cargo owner is generated; Matching is performed according to the first matching degree, the second matching degree, and the third matching degree.

[0026] Further preferably, the intelligent freight source order grabbing method provided by the present invention analyzes whether there are special requirements for the source of goods in response to the matching process, and then calculates the fourth matching degree representing the target driver's willingness to accept the order based on the driver's historical performance characteristics, wherein the special requirements include escort, less-than-truckload, loading and unloading times, easy-flow monitoring, and wide-body vehicles; Matching is performed according to the first matching degree, the second matching degree, the third matching degree, and the fourth matching degree.

[0027] Further preferably, the intelligent freight source order grabbing method provided by the present invention, in the process of generating a freight order, based on the target driver's willingness to accept the order, based on the generated multiple pieces of cargo information available for the target driver to choose, automatically selects cargo information for the target driver according to the third matching degree, and generates a transportation contract and a freight order after the target driver and the cargo owner confirm.

[0028] The present invention also discloses an intelligent freight source order grabbing system, which is used to implement the above-mentioned intelligent freight source order grabbing method, including: The cargo grabbing module is used to respond to the target driver's delivery demand, obtain the target driver's identity information, and generate a delivery request based on the target driver's selected delivery vehicle and delivery requirements and the target driver's order acceptance preference; The freight matching module is used to respond to the matching of target drivers and goods. Based on the freight request, it obtains the source of goods information and performs matching. According to the needs of the cargo owner, it generates several pieces of cargo information for the target driver to choose from, and generates a freight order based on the cargo information selected by the target driver.

[0029] Further preferably, the cargo grabbing module of the intelligent freight source order grabbing system disclosed in the present invention is also used to obtain the historical performance characteristics of the target driver based on the identity information of the target driver, obtain the target driver's willingness to accept orders, vehicle equipment and willingness to share cars, and generate order acceptance preferences.

[0030] Further preferably, the freight matching module of the intelligent freight source order grabbing system disclosed in the present invention is also used to match according to vehicle type, load capacity, transportation route and source information, and generate a number of cargo information for the target driver to choose according to the order acceptance preference and the cargo owner's needs for the cargo transportation process. Among them, based on the target driver's willingness to accept the order and according to the generated several pieces of cargo information for the target driver to choose, the cargo information is automatically selected for the target driver according to the third matching degree, and after the target driver and the cargo owner confirm, a transportation contract and a freight order are generated.

[0031] Further preferably, the freight matching module of the intelligent freight source order grabbing system disclosed in the present invention is also used to obtain the expected time of the cargo owner and the available time of the vehicle, as well as the first matching degree of the origin and the destination; Obtain the type, weight and volume of the cargo, and the second matching degree with the vehicle model and length; Based on the historical performance of the target driver and the cargo owner, the third matching degree between the target driver and the cargo owner is generated; A match is performed based on the first matching degree, the second matching degree and the third matching degree. During the matching process, it is analyzed whether there are special requirements for the source of goods, and then the fourth matching degree representing the target driver's willingness to accept orders is calculated based on the driver's historical performance characteristics. The special requirements include escorted vehicles, less-than-truckload, number of loading and unloading times, vehicles with easy flow monitoring, and wide-body vehicles. A second match is performed based on the first matching degree, the second matching degree, the third matching degree and the fourth matching degree.

[0032] Embodiment: The present invention provides an intelligent freight source order grabbing system, which specifically includes the following contents: System architecture: The system consists of information collection module, data analysis module, order execution module and user interface.

[0033] The information collection module is responsible for collecting cargo information from major freight platforms, social media and other channels; The data analysis module screens, analyzes and matches the collected information; The order grabbing execution module automatically or assists the user to grab the order according to the analysis results; The user interface provides user interaction functions.

[0034] Cargo source information monitoring: Through big data and artificial intelligence technology, real-time monitoring of cargo source information in the freight market, including cargo type, quantity, starting and ending points, transportation requirements, etc.

[0035] Intelligent matching algorithm: Based on the transportation conditions set by the user (such as vehicle type, load capacity, transportation route, etc.) and cargo information, an intelligent matching algorithm is used to quickly screen out qualified cargo and calculate the probability of successfully grabbing the order.

[0036] Vehicle type and length matching: Select the appropriate vehicle type and length according to the type, weight and volume of the goods. Time route matching: Consider the expected time of the cargo owner and the available time of the vehicle, as well as the matching degree between the origin and the destination.

[0037] Driver label matching: Analyze the special requirements of the cargo source, such as escorted trucks, LTL, loading and unloading times, easy-flow monitoring, wide-body vehicles, etc., and map them into standard labels. Then, calculate the driver's willingness to accept orders (matching degree) based on the label library (identity, willingness to accept orders, vehicle equipment, willingness to share rides, etc.) calculated based on the driver's historical performance characteristics.

[0038] Automatic order grabbing: After obtaining user confirmation, the system can automatically execute order grabbing operations, including submitting order grabbing requests, communicating with cargo owners for confirmation, signing transportation contracts, etc. At the same time, the system also supports manual order grabbing mode for users to choose according to actual conditions.

[0039] Real-time feedback and optimization: The order grabbing results are fed back to users in real time, and the matching algorithm and order grabbing strategy are continuously optimized based on historical order grabbing data and user feedback to improve the order grabbing success rate and user satisfaction.

[0040] The present invention can automatically monitor new cargo information, accurately match cargo sources according to the driver's cargo search requirements, order acceptance preferences, equipment and other information, and automatically grab orders, automatically search for cargo for the driver, and help the driver quickly lock in suitable cargo sources.

[0041] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0042] In the description of the present invention, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0043] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An intelligent freight source order grabbing method, characterized in that: The following steps are involved: In response to a target driver publishing a freight demand, obtaining the target driver's identity information, and generating a freight request based on the freight vehicle and freight requirements selected by the target driver and the order acceptance preference of the target driver; In response to the matching of the target driver and the goods, based on the freight request, by obtaining the source of goods information, matching is performed, and according to the needs of the cargo owner, several pieces of cargo information are generated for the target driver to select, and a freight order is generated based on the cargo information selected by the target driver.

2. According to claim 1, a smart freight source order grabbing method is characterized by: In the process of obtaining the target driver's order acceptance preference, based on the target driver's identity information, the target driver's historical performance characteristics are obtained, the target driver's order acceptance willingness, vehicle equipment and carpooling willingness are obtained, and the order acceptance preference is generated.

3. According to claim 2, a smart freight source order grabbing method is characterized by: In the process of matching the target driver with the cargo, matching is performed based on vehicle type, load capacity, transportation route and cargo source information, and based on the order acceptance preference and the cargo owner's requirements for the cargo transportation process, a number of cargo information is generated for the target driver to select.

4. According to claim 3, the intelligent freight source order grabbing method is characterized by: In the matching process, the expected time of the cargo owner and the available time of the vehicle, as well as the first matching degree of the origin and the destination are obtained; Obtain the type, weight and volume of the cargo, and the second matching degree with the vehicle model and length; Based on the historical performance of the target driver and the cargo owner, generating a third matching degree between the target driver and the cargo owner; Matching is performed according to the first matching degree, the second matching degree, and the third matching degree.

5. According to claim 4, a smart freight source order grabbing method is characterized by: In response to the matching process, the special requirements of the cargo source are analyzed, and then the fourth matching degree representing the target driver's willingness to accept the order is calculated according to the driver's historical performance characteristics, wherein the special requirements include escort, less-than-truckload, loading and unloading times, easy-flow monitoring, and wide-body vehicles; Matching is performed according to the first matching degree, the second matching degree, the third matching degree, and the fourth matching degree.

6. According to claim 5, a smart freight source order grabbing method is characterized by: In the process of generating a freight order, based on the target driver's willingness to accept the order and according to the generated multiple pieces of cargo information available for the target driver to choose from, cargo information is automatically selected for the target driver according to the third matching degree. After the target driver and the cargo owner confirm, a transportation contract and a freight order are generated.

7. An intelligent freight source order grabbing system, characterized in that: include: The cargo grabbing module is used to respond to the target driver's delivery demand, obtain the target driver's identity information, and generate a cargo request based on the cargo vehicle and cargo requirements selected by the target driver and the target driver's order acceptance preference; The freight matching module is used to respond to the matching of the target driver and the goods. Based on the freight request, it obtains the source of goods information, performs matching, generates several pieces of goods information for the target driver to select according to the needs of the cargo owner, and generates a freight order based on the goods information selected by the target driver.

8. According to claim 7, the intelligent freight source order grabbing system is characterized by: The grabbing module is also used to obtain the historical performance characteristics of the target driver based on the identity information of the target driver, obtain the target driver's willingness to accept orders, vehicle equipment and willingness to share cars, and generate the order acceptance preference.

9. According to claim 8, the intelligent freight source order grabbing system is characterized by: The freight matching module is also used to match according to vehicle type, load capacity, transportation route and source of goods information, and generate several pieces of cargo information for the target driver to choose according to the order acceptance preference and the cargo owner's needs for the cargo transportation process. Based on the target driver's willingness to accept the order and the several pieces of cargo information generated for the target driver to choose, the cargo information is automatically selected for the target driver according to the third matching degree, and after the target driver and the cargo owner confirm, a transportation contract and a freight order are generated.

10. The intelligent freight source order grabbing system according to claim 9, characterized in that: The freight matching module is further used to obtain the expected time of the cargo owner and the available time of the vehicle, as well as the first matching degree of the origin and the destination; Obtain the type, weight and volume of the cargo, and the second matching degree with the vehicle model and length; Based on the historical performance of the target driver and the cargo owner, generating a third matching degree between the target driver and the cargo owner; A matching is performed based on the first matching degree, the second matching degree and the third matching degree, wherein in the matching process, it is analyzed whether there are special requirements for the source of goods, and then the fourth matching degree representing the target driver's willingness to accept orders is calculated based on the driver's historical performance characteristics, wherein the special requirements include escorted vehicles, less-than-truckload, loading and unloading times, easy-flow monitoring, and wide-body vehicles; a second matching is performed based on the first matching degree, the second matching degree, the third matching degree and the fourth matching degree.

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