Customized service after package delivery method and device

Abstract

This invention relates to the field of express delivery technology and discloses a method for delivering packages after customized services. The method includes: marking packages and constructing an independent waiting list based on customized service requirements; prioritizing and sorting packages in the independent waiting list; constructing an optimal call timing prediction algorithm to determine the best time for pre-delivery calls and sending a reminder to the courier; using an intelligent package status verification algorithm to verify the package receipt status in real time; removing packages that have been validly signed for from the independent waiting list, and retaining information on incomplete or pending-review packages. This method has the advantages of improving service efficiency, reducing timeout rates, ensuring the accuracy of package receipt status, and avoiding missed or incorrect scanning.

Description

Technical Field

[0001] This invention relates to the field of express delivery technology, and in particular to a method and apparatus for delivering customized packages. Background Technology

[0002] With the development of the e-commerce industry, more and more merchants are launching customized express delivery services to enhance the consumer experience, requiring packages to meet special requirements such as door-to-door delivery, pre-delivery phone calls, and timely delivery at the last mile. Current technology employs a strategy of displaying all tasks under a single pending delivery list. After sorting their own packages at the last-mile delivery station, staff scan and distribute the packages to be delivered that day, thus receiving the day's delivery tasks. This distribution creates a unified pending delivery list. Couriers need to check this list to understand the customized service packages to be delivered that day. However, the number of customized service packages to be delivered that day is not clearly displayed; they must count them one by one to determine the exact number, resulting in an unobtrusive display that often affects the courier's fulfillment quality.

[0003] Therefore, a method and apparatus for delivering customized packages are provided to solve the above problems. Summary of the Invention

[0004] The main objective of this invention is to solve the technical problems in the prior art, such as the strategy of displaying all tasks in the same pending delivery task, which does not clearly show the number of customized service packages to be delivered on the same day, resulting in an unobtrusive display effect and affecting the delivery quality of couriers.

[0005] The first aspect of the present invention provides a method for delivering packages after customized services, the method comprising: Based on customized service requirements, complete the packaging labeling and build an independent waiting list, and sort the packages in the independent waiting list by priority quantification. An optimal timing prediction algorithm for pre-delivery phone calls is constructed to determine the best time for pre-delivery phone calls and to send a reminder message to the courier. The intelligent verification algorithm for package status is used to verify the package receipt status in real time. Remove packages that have been successfully signed for from the standby delivery list, while retaining information on incomplete or pending packages.

[0006] Optionally, the process of completing package tagging and building an independent delivery list based on customized service requirements includes: Obtain customized service request information, and add customized service identifiers to the order data based on the customized service request information. The service identifiers include door-to-door delivery, pre-delivery phone call, and timely delivery. The order data clearly records core information, including delivery deadline, merchant cooperation level, and package value declaration. Order data is sent to the electronic labeling system, which uniquely identifies the core information with the parcel waybill and generates an electronic tag containing complete customized service data. After the last-mile station completes sorting, it scans the parcel waybill to complete the distribution scan. It automatically filters the parcel waybills that have completed the distribution scan and have customized service electronic tags. It prioritizes the filtered parcel waybills, builds an independent list of parcels to be dispatched based on the priority evaluation, synchronizes the independent list of parcels to be dispatched to the mobile terminal, sets the independent list of parcels to be dispatched to the priority display state and configures the time filter function, which displays data of the past three days by default.

[0007] Optionally, the priority evaluation in constructing the independent waiting list based on the priority evaluation includes: The evaluation dimensions are determined, including the urgency of the delivery deadline, the declared value of the package, the merchant cooperation level, the recipient's historical complaint rate, and the number of historical phone calls connected. The weights of each dimension were determined using the Analytic Hierarchy Process (AHP). Construct a judgment matrix and calculate the weights of each dimension using the matrix; The original data for each dimension are standardized within the range [0, 1]. The priority score for each package is calculated by summing the products of the standardized values ​​of each dimension and their corresponding weights. Packages in the standby list are sorted in descending order based on priority scores.

[0008] Optionally, the standardization process for the original data of each dimension within the [0, 1] interval includes: Given the urgency of delivery deadlines, the shorter the remaining delivery time, the closer the standardized value is to 1; Regarding the declared value of a package, the higher the value, the closer the standardized value is to 1; For merchant cooperation levels, the higher the level, the closer the standardized value is to 1; Regarding the recipient's historical complaint rate, the lower the complaint rate, the closer the standardized value is to 1; For the number of historical electrical connections, the more connections made, the closer the standardized value is to 1.

[0009] Optionally, the algorithm for predicting the optimal timing for pre-delivery phone calls, which determines the best time for such calls and provides a reminder to the courier, includes: Acquire basic data, which includes the historical signature time distribution data of recipients, occupational tags, identification information of weekdays and holidays, historical connection time records of pre-delivery calls, scene tags corresponding to the delivery address, and access control open time data of the area where the delivery address is located; The time features are divided into 24 discrete time periods by hour. One-hot encoding is used to convert occupational and scene labels into binary features, and information on weekdays and / or holidays and access control hours is converted into binary features. Using whether the call is connected at each time period as the target variable, a random forest machine learning model is trained using the collected and processed feature data. One hour before the package enters the delivery sequence, the relevant feature data of the package recipient is input, and the model outputs the probability of the call being connected at each time period, and selects the 1-2 time periods with the highest probability as the best time periods for call connection. The system generates a reminder message based on the optimal time for making a phone call and the corresponding probability of the call being connected, and then sends the reminder message to the courier's device.

[0010] Optionally, the real-time verification of the package receipt status using the intelligent package status verification algorithm includes: Obtain the GPS coordinates of the courier when scanning the package waybill, the delivery address coordinates recorded on the package waybill, the specific time of scanning and signing, the courier's movement trajectory data for the past 10 minutes before scanning, and the recipient's type information; Calculate the straight-line distance deviation between the GPS coordinates of the courier scanning the package waybill and the delivery address coordinates recorded on the package waybill, and calculate the time deviation between the specific time of scanning and signing for the package and the estimated delivery time of the intelligent route planning. Analyze the continuity of the courier's trajectory and determine whether there are any abnormal jumps based on the continuity of the courier's trajectory; Based on the calculated straight-line distance deviation, time deviation, and continuity judgment results, the status of the package is verified to be normal receipt.

[0011] Optionally, removing packages that have been validly signed for from the independent delivery list while retaining information on incomplete or pending packages includes: The courier scans the package for signature and submits the signature data on their end. Real-time receipt information of packages, including receipt time, recipient type, scanning location, and credibility determination result; Based on the results of the intelligent verification algorithm for package status, confirm whether the package has been validly signed for. For packages that have been determined to be validly signed for or confirmed to be valid after review, the list removal process will be initiated; packages marked as pending review will be reviewed, and packages marked as abnormal and not yet verified will undergo secondary verification. Initiate the list removal process to delete all displayed information of packages that have been determined to be validly signed for or confirmed to be valid after review from the independent pending delivery list, including priority indicators, delivery deadlines, and call timings. The updated standby list retains information on packages that have not yet been delivered and packages marked as "pending review".

[0012] A second aspect of the present invention provides a customized service post-parcel delivery device for use in the customized service post-parcel delivery method described above, comprising: The independent dispatch list construction module is used to complete package tagging and independent dispatch list construction based on customized service requirements, and to prioritize and sort the packages in the independent dispatch list. The telephone call timing prediction module is used to build an optimal telephone call timing prediction algorithm to determine the best time for pre-delivery telephone calls and to send a reminder message to the courier. The package receipt status verification module is used to verify the package receipt status in real time using an intelligent package status verification algorithm. The Independent Pending Delivery List Update module is used to remove packages that have been successfully signed for from the Independent Pending Delivery List, while retaining information on incomplete or pending packages.

[0013] A third aspect of the present invention provides an electronic device, the electronic device comprising a memory and at least one processor, wherein the memory stores instructions; The at least one processor invokes the instructions in the memory to cause the electronic device to perform the various steps of the customized service post-parcel delivery method as described above.

[0014] A fourth aspect of the present invention provides a computer-readable storage medium storing instructions that, when executed by a processor, implement the various steps of the customized service package delivery method described above.

[0015] In the technical solution of this invention, an independent list of packages to be delivered is generated through package tagging and priority evaluation, enabling independent display of high-requirement customized packages. This allows couriers to quickly grasp the number and details of packages without having to check them one by one, helping couriers to prioritize high-urgency and high-value customized packages, reducing the timeout rate, ensuring the accuracy of package signing status, and avoiding problems such as missed scanning and incorrect scanning. Attached Figure Description

[0016] Figure 1 A flowchart illustrating the customized service package delivery method provided in this embodiment of the invention; Figure 2 A schematic diagram of the structure of the customized service parcel delivery device provided in this embodiment of the invention; Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0017] This invention provides a method for delivering customized service packages, including tagging packages and constructing an independent delivery list based on customized service requirements; prioritizing and sorting packages in the independent delivery list; constructing an optimal call timing prediction algorithm to determine the best time for pre-delivery calls and sending a reminder to the courier; using a package status intelligent verification algorithm to verify the package receipt status in real time; removing packages that have been validly signed for from the independent delivery list, and retaining information on incomplete or pending-review packages. This invention solves the technical problems in the prior art, where all tasks are displayed in the same delivery task, resulting in an unclear display of the number of customized service packages to be delivered that day, which is not eye-catching and affects the courier's fulfillment quality.

[0018] The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" or "having" and any variations thereof are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0019] For ease of understanding, the specific process of the embodiments of the present invention is described below. Please refer to [link / reference]. Figure 1 The first embodiment of the package delivery method after customized service in this invention includes: Based on customized service requirements, complete the packaging labeling and build an independent waiting list, and sort the packages in the independent waiting list by priority quantification. Specifically, completing package labeling and building an independent delivery list based on customized service needs includes: package labeling process and independent delivery list building process; The independent marking process specifically includes: When a customer places an order, the merchant adds a corresponding customized service identifier to the order data based on customized service requirements such as door-to-door delivery, pre-delivery phone call, and timely delivery. This identifier also clearly records core information such as the delivery deadline, merchant cooperation level, and declared value of the package. After receiving the order data, the courier's internal electronic tagging system uniquely binds the customized service identifier, delivery requirements, and associated core order information to the package waybill, generating an electronic tag containing complete customized service data.

[0020] The process of building an independent list of dispatchers specifically includes: The staff at the last-mile delivery station sorts the packages, scans the package waybills to complete the distribution scan, automatically filters the packages that have been distributed and scanned and have customized service electronic tags, integrates the relevant data of these packages to build an independent list of packages to be delivered, synchronizes the independent list of packages to be delivered to the mobile terminal, sets it as the priority display state, and configures the time filter function to display data of the past three days by default.

[0021] Prioritization and sorting of packages in the independent dispatch list specifically includes: The evaluation dimensions are determined, including the urgency of the delivery deadline, the declared value of the package, the merchant cooperation level, the recipient's historical complaint rate, and the number of historical phone calls connected. The weights of each dimension were determined using the Analytic Hierarchy Process (AHP). Construct a judgment matrix and calculate the weights of each dimension using the matrix; The raw data for each dimension are standardized within the range of [0, 1]. For the urgency of the delivery deadline, the shorter the remaining delivery time, the closer the standardized value is to 1. For the declared value of the package, the higher the value, the closer the standardized value is to 1. For the merchant cooperation level, the higher the level, the closer the standardized value is to 1. For the recipient's historical complaint rate, the lower the complaint rate, the closer the standardized value is to 1. For the historical number of phone calls, the more calls, the closer the standardized value is to 1. The priority score for each package is calculated by summing the products of the standardized values ​​of each dimension and their corresponding weights. Packages in the standby list are sorted in descending order based on priority scores.

[0022] An optimal timing prediction algorithm for pre-delivery phone calls is constructed to determine the best time for pre-delivery phone calls and to send a reminder message to the courier. The intelligent verification algorithm for package status is used to verify the package receipt status in real time. Remove packages that have been successfully signed for from the standby delivery list, while retaining information on incomplete or pending packages.

[0023] Please see Figure 1 The second embodiment of the package delivery method after customized service in this invention includes: Based on customized service requirements, complete the packaging labeling and build an independent waiting list, and sort the packages in the independent waiting list by priority quantification. Specifically, completing package labeling and building an independent delivery list based on customized service needs includes: package labeling process and independent delivery list building process; The independent marking process specifically includes: When a customer places an order, the merchant adds a corresponding customized service identifier to the order data based on customized service requirements such as door-to-door delivery, pre-delivery phone call, and timely delivery. This identifier also clearly records core information such as the delivery deadline, merchant cooperation level, and declared value of the package. After receiving the order data, the courier's internal electronic tagging system uniquely binds the customized service identifier, delivery requirements, and associated core order information to the package waybill, generating an electronic tag containing complete customized service data.

[0024] The process of building an independent list of dispatchers specifically includes: The staff at the last-mile delivery station sorts the packages, scans the package waybills to complete the distribution scan, automatically filters the packages that have been distributed and scanned and have customized service electronic tags, integrates the relevant data of these packages to build an independent list of packages to be delivered, synchronizes the independent list of packages to be delivered to the mobile terminal, sets it as the priority display state, and configures the time filter function to display data of the past three days by default.

[0025] Prioritization and sorting of packages in the independent dispatch list specifically includes: The evaluation dimensions are determined, including the urgency of the delivery deadline, the declared value of the package, the merchant cooperation level, the recipient's historical complaint rate, and the number of historical phone calls connected. The weights of each dimension were determined using the Analytic Hierarchy Process (AHP). Construct a judgment matrix and calculate the weights of each dimension using the matrix; The raw data for each dimension are standardized within the range of [0, 1]. For the urgency of the delivery deadline, the shorter the remaining delivery time, the closer the standardized value is to 1. For the declared value of the package, the higher the value, the closer the standardized value is to 1. For the merchant cooperation level, the higher the level, the closer the standardized value is to 1. For the recipient's historical complaint rate, the lower the complaint rate, the closer the standardized value is to 1. For the historical number of phone calls, the more calls, the closer the standardized value is to 1. The priority score for each package is calculated by summing the products of the standardized values ​​of each dimension and their corresponding weights. Packages in the standby list are sorted in descending order based on priority scores.

[0026] The aforementioned technology enables the independent display of high-requirement customized packages, allowing couriers to quickly grasp the quantity and details of packages without having to check them one by one, thus helping couriers prioritize the handling of highly urgent and high-value customized packages.

[0027] An optimal timing prediction algorithm for pre-delivery phone calls is constructed to determine the best time for pre-delivery phone calls and to send a reminder message to the courier. Specifically, this includes: Acquire basic data, which includes the historical signature time distribution data of recipients, occupational tags, identification information of weekdays and holidays, historical connection time records of pre-delivery calls, scene tags corresponding to the delivery address, and access control open time data of the area where the delivery address is located; at the same time, abnormal data in unreasonable time periods such as early morning are removed; The time features are divided into 24 discrete time periods by hour. One-hot encoding is used to convert occupational and scene labels into binary features, and information on weekdays and / or holidays and access control hours is converted into binary features. Using whether the call is connected at each time period as the target variable, a random forest machine learning model is trained using the collected and processed feature data. One hour before the package enters the delivery sequence, the relevant feature data of the package recipient is input, and the model outputs the probability of the call being connected at each time period, and selects the 1-2 time periods with the highest probability as the best time periods for call connection. The system generates a reminder message based on the optimal time for making a phone call and the corresponding probability of the call being connected, and then sends the reminder message to the courier's device. The intelligent verification algorithm for package status is used to verify the package receipt status in real time. Remove packages that have been successfully signed for from the standby delivery list, while retaining information on incomplete or pending packages.

[0028] Please see Figure 1 The third embodiment of the package delivery method after customized service in this invention includes: Based on customized service requirements, complete the packaging labeling and build an independent waiting list, and sort the packages in the independent waiting list by priority quantification. Specifically, completing package labeling and building an independent delivery list based on customized service needs includes: package labeling process and independent delivery list building process; The independent marking process specifically includes: When a customer places an order, the merchant adds a corresponding customized service identifier to the order data based on customized service requirements such as door-to-door delivery, pre-delivery phone call, and timely delivery. This identifier also clearly records core information such as the delivery deadline, merchant cooperation level, and declared value of the package. After receiving the order data, the courier's internal electronic tagging system uniquely binds the customized service identifier, delivery requirements, and associated core order information to the package waybill, generating an electronic tag containing complete customized service data.

[0029] The process of building an independent list of dispatchers specifically includes: The staff at the last-mile delivery station sorts the packages, scans the package waybills to complete the distribution scan, automatically filters the packages that have been distributed and scanned and have customized service electronic tags, integrates the relevant data of these packages to build an independent list of packages to be delivered, synchronizes the independent list of packages to be delivered to the mobile terminal, sets it as the priority display state, and configures the time filter function to display data of the past three days by default.

[0030] Prioritization and sorting of packages in the independent dispatch list specifically includes: The evaluation dimensions are determined, including the urgency of the delivery deadline, the declared value of the package, the merchant cooperation level, the recipient's historical complaint rate, and the number of historical phone calls connected. The weights of each dimension were determined using the Analytic Hierarchy Process (AHP). Construct a judgment matrix and calculate the weights of each dimension using the matrix; The raw data for each dimension are standardized within the range of [0, 1]. For the urgency of the delivery deadline, the shorter the remaining delivery time, the closer the standardized value is to 1. For the declared value of the package, the higher the value, the closer the standardized value is to 1. For the merchant cooperation level, the higher the level, the closer the standardized value is to 1. For the recipient's historical complaint rate, the lower the complaint rate, the closer the standardized value is to 1. For the historical number of phone calls, the more calls, the closer the standardized value is to 1. The priority score for each package is calculated by summing the products of the standardized values ​​of each dimension and their corresponding weights. Packages in the standby list are sorted in descending order based on priority scores.

[0031] An optimal timing prediction algorithm for pre-delivery phone calls is constructed to determine the best time for pre-delivery phone calls and to send a reminder message to the courier. Specifically, this includes: Acquire basic data, which includes the historical signature time distribution data of recipients, occupational tags, identification information of weekdays and holidays, historical connection time records of pre-delivery calls, scene tags corresponding to the delivery address, and access control open time data of the area where the delivery address is located; at the same time, abnormal data in unreasonable time periods such as early morning are removed; The time features are divided into 24 discrete time periods by hour. One-hot encoding is used to convert occupational and scene labels into binary features, and information on weekdays and / or holidays and access control hours is converted into binary features. Using whether the call is connected at each time period as the target variable, a random forest machine learning model is trained using the collected and processed feature data. One hour before the package enters the delivery sequence, the relevant feature data of the package recipient is input, and the model outputs the probability of the call being connected at each time period, and selects the 1-2 time periods with the highest probability as the best time periods for call connection. The system generates a reminder message based on the optimal time for making a phone call and the corresponding probability of the call being connected, and then sends the reminder message to the courier's device. The intelligent verification algorithm for package status is used to verify the package receipt status in real time. Specifically, this includes: Obtain the GPS coordinates of the courier when scanning the package waybill, the delivery address coordinates recorded on the package waybill, the specific time of scanning and signing, the courier's movement trajectory data for the past 10 minutes before scanning, and the recipient's type information; Calculate the straight-line distance deviation between the GPS coordinates of the courier scanning the package waybill and the delivery address coordinates recorded on the package waybill, and calculate the time deviation between the specific time of scanning and signing for the package and the estimated delivery time of the intelligent route planning. Analyze the continuity of the courier's trajectory and determine whether there are any abnormal jumps based on the continuity of the courier's trajectory; Based on the calculated straight-line distance deviation, time deviation, and continuity judgment results, the status of the package is verified to be normal receipt.

[0032] The aforementioned technologies enable accurate determination of the receipt status, preventing erroneous receipts and improving delivery accuracy.

[0033] Remove packages that have been successfully signed for from the standby delivery list, while retaining information on incomplete or pending packages.

[0034] Please see Figure 1 The fourth embodiment of the method for preventing SMS verification code interface fraud based on Redis in this invention includes: Based on customized service requirements, complete the packaging labeling and build an independent waiting list, and sort the packages in the independent waiting list by priority quantification. Specifically, completing package labeling and building an independent delivery list based on customized service needs includes: package labeling process and independent delivery list building process; The independent marking process specifically includes: When a customer places an order, the merchant adds a corresponding customized service identifier to the order data based on customized service requirements such as door-to-door delivery, pre-delivery phone call, and timely delivery. This identifier also clearly records core information such as the delivery deadline, merchant cooperation level, and declared value of the package. After receiving the order data, the courier's internal electronic tagging system uniquely binds the customized service identifier, delivery requirements, and associated core order information to the package waybill, generating an electronic tag containing complete customized service data.

[0035] The process of building an independent list of dispatchers specifically includes: The staff at the last-mile delivery station sorts the packages, scans the package waybills to complete the distribution scan, automatically filters the packages that have been distributed and scanned and have customized service electronic tags, integrates the relevant data of these packages to build an independent list of packages to be delivered, synchronizes the independent list of packages to be delivered to the mobile terminal, sets it as the priority display state, and configures the time filter function to display data of the past three days by default.

[0036] Prioritization and sorting of packages in the independent dispatch list specifically includes: The evaluation dimensions are determined, including the urgency of the delivery deadline, the declared value of the package, the merchant cooperation level, the recipient's historical complaint rate, and the number of historical phone calls connected. The weights of each dimension were determined using the Analytic Hierarchy Process (AHP). Construct a judgment matrix and calculate the weights of each dimension using the matrix; The raw data for each dimension are standardized within the range of [0, 1]. For the urgency of the delivery deadline, the shorter the remaining delivery time, the closer the standardized value is to 1. For the declared value of the package, the higher the value, the closer the standardized value is to 1. For the merchant cooperation level, the higher the level, the closer the standardized value is to 1. For the recipient's historical complaint rate, the lower the complaint rate, the closer the standardized value is to 1. For the historical number of phone calls, the more calls, the closer the standardized value is to 1. The priority score for each package is calculated by summing the products of the standardized values ​​of each dimension and their corresponding weights. Packages in the standby list are sorted in descending order based on priority scores.

[0037] An optimal timing prediction algorithm for pre-delivery phone calls is constructed to determine the best time for pre-delivery phone calls and to send a reminder message to the courier. Specifically, this includes: Acquire basic data, which includes the historical signature time distribution data of recipients, occupational tags, identification information of weekdays and holidays, historical connection time records of pre-delivery calls, scene tags corresponding to the delivery address, and access control open time data of the area where the delivery address is located; at the same time, abnormal data in unreasonable time periods such as early morning are removed; The time features are divided into 24 discrete time periods by hour. One-hot encoding is used to convert occupational and scene labels into binary features, and information on weekdays and / or holidays and access control hours is converted into binary features. Using whether the call is connected at each time period as the target variable, a random forest machine learning model is trained using the collected and processed feature data. One hour before the package enters the delivery sequence, the relevant feature data of the package recipient is input, and the model outputs the probability of the call being connected at each time period, and selects the 1-2 time periods with the highest probability as the best time periods for call connection. The system generates a reminder message based on the optimal time for making a phone call and the corresponding probability of the call being connected, and then sends the reminder message to the courier's device. The intelligent verification algorithm for package status is used to verify the package receipt status in real time. Specifically, this includes: Obtain the GPS coordinates of the courier when scanning the package waybill, the delivery address coordinates recorded on the package waybill, the specific time of scanning and signing, the courier's movement trajectory data for the past 10 minutes before scanning, and the recipient's type information; Calculate the straight-line distance deviation between the GPS coordinates of the courier scanning the package waybill and the delivery address coordinates recorded on the package waybill, and calculate the time deviation between the specific time of scanning and signing for the package and the estimated delivery time of the intelligent route planning. Analyze the continuity of the courier's trajectory and determine whether there are any abnormal jumps based on the continuity of the courier's trajectory; Based on the calculated straight-line distance deviation, time deviation, and continuity judgment results, the status of the package is verified to be normal receipt.

[0038] Remove packages that have been successfully signed for from the standby delivery list, while retaining information on incomplete or pending packages.

[0039] Specifically, this includes: The courier scans the package for signature and submits the signature data on their end. Real-time receipt information of packages, including receipt time, recipient type, scanning location, and credibility determination result; Based on the results of the intelligent verification algorithm for package status, confirm whether the package has been validly signed for. For packages that have been determined to be validly signed for or confirmed to be valid after review, the list removal process will be initiated; packages marked as pending review will be reviewed, and packages marked as abnormal and not yet verified will undergo secondary verification. Initiate the list removal process to delete all displayed information of packages that have been determined to be validly signed for or confirmed to be valid after review from the independent pending delivery list, including priority indicators, delivery deadlines, and call timings. The updated standby list retains information on packages that have not yet been delivered, as well as packages marked "pending review." This implementation ensures the accuracy of package delivery status and avoids missed or duplicate scans.

[0040] The method for delivering packages after customized services in the embodiments of the present invention has been described above. The following describes the device for delivering packages after customized services in the embodiments of the present invention. Please refer to [link / reference]. Figure 2 The customized service parcel delivery device in this embodiment of the invention includes, for the above embodiments, the following: The independent waiting list construction module 201 is used to complete package tagging and independent waiting list construction based on customized service requirements, and to quantify and sort the packages in the independent waiting list by priority. The telephone call timing prediction module 202 is used to construct an optimal telephone call timing prediction algorithm to determine the best time period for pre-delivery telephone calls and to send reminder information to the courier's terminal. The package receipt status verification module 203 is used to verify the package receipt status in real time using a package status intelligent verification algorithm; The Independent Pending Delivery List Update Module 204 is used to remove packages that have been successfully signed for from the Independent Pending Delivery List, while retaining information on incomplete or pending packages.

[0041] above Figure 2 The customized service package delivery device in this embodiment of the invention will be described in detail from the perspective of modular functional entities. The electronic device in this embodiment of the invention will be described in detail from the perspective of hardware processing.

[0042] Figure 3 This is a schematic diagram of the structure of an electronic device 700 provided in an embodiment of the present invention. The electronic device 700 can vary significantly due to different configurations or performance characteristics. It may include one or more processors 710 (e.g., one or more processors) and a memory 720, and one or more storage media 730 (e.g., one or more storage devices, including RAM, FLASH, etc.) for storing application programs 733 or data 732. The memory 720 and storage media 730 can be temporary or persistent storage. The program stored in the storage media 730 may include one or more modules (not shown in the diagram), each module including a series of instruction operations on the electronic device 700. Furthermore, the processor 710 may be configured to communicate with the storage media 730 and execute the series of instruction operations in the storage media 730 on the electronic device 700.

[0043] The electronic device 700 may also include one or more power supplies 740, one or more input / output interfaces 750, and / or one or more operating systems 731, such as FreeRTOS, Android, etc. Those skilled in the art will understand that... Figure 3 The illustrated electronic device structure does not constitute a limitation on electronic devices and may include more or fewer components than illustrated, or combine certain components, or have different component arrangements.

[0044] The present invention also provides a computer-readable storage medium, which can be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium, wherein the computer-readable storage medium stores instructions that, when executed on a computer, cause the computer to perform the steps of a customized service package delivery method.

[0045] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the system, device, or unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0046] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, mobile device, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0047] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for delivering packages after customized services, characterized in that, The customized service package delivery method includes: Based on customized service requirements, complete the packaging labeling and build an independent waiting list, and sort the packages in the independent waiting list by priority quantification. An optimal timing prediction algorithm for pre-delivery phone calls is constructed to determine the best time for pre-delivery phone calls and to send a reminder message to the courier. The intelligent verification algorithm for package status is used to verify the package receipt status in real time. Remove packages that have been successfully signed for from the standby delivery list, while retaining information on incomplete or pending packages.

2. The method for delivering customized packages according to claim 1, characterized in that, The process of completing package tagging and building an independent delivery list based on customized service requirements includes: Obtain customized service request information, and add customized service identifiers to the order data based on the customized service request information. The service identifiers include door-to-door delivery, pre-delivery phone call, and timely delivery. The order data clearly records core information, including delivery deadline, merchant cooperation level, and package value declaration. Order data is sent to the electronic labeling system, which uniquely identifies the core information with the parcel waybill and generates an electronic tag containing complete customized service data. After the last-mile station completes sorting, it scans the parcel waybill to complete the distribution scan. It automatically filters the parcel waybills that have completed the distribution scan and have customized service electronic tags. It prioritizes the filtered parcel waybills, builds an independent list of parcels to be dispatched based on the priority evaluation, synchronizes the independent list of parcels to be dispatched to the mobile terminal, sets the independent list of parcels to be dispatched to the priority display state and configures the time filter function, which displays data of the past three days by default.

3. The method for delivering customized packages according to claim 2, characterized in that, The priority evaluation method for constructing an independent waiting list based on priority evaluation includes: The evaluation dimensions are determined, including the urgency of the delivery deadline, the declared value of the package, the merchant cooperation level, the recipient's historical complaint rate, and the number of historical phone calls connected. The weights of each dimension were determined using the Analytic Hierarchy Process (AHP). Construct a judgment matrix and calculate the weights of each dimension using the matrix; The original data for each dimension are standardized within the range [0, 1]. The priority score for each package is calculated by summing the products of the standardized values ​​of each dimension and their corresponding weights. Packages in the standby list are sorted in descending order based on priority scores.

4. The method for delivering customized packages according to claim 3, characterized in that, The standardization process for the original data in each dimension within the [0, 1] interval includes: Given the urgency of delivery deadlines, the shorter the remaining delivery time, the closer the standardized value is to 1; Regarding the declared value of a package, the higher the value, the closer the standardized value is to 1; For merchant cooperation levels, the higher the level, the closer the standardized value is to 1; Regarding the recipient's historical complaint rate, the lower the complaint rate, the closer the standardized value is to 1; For the number of historical electrical connections, the more connections made, the closer the standardized value is to 1.

5. The method for delivering customized packages according to claim 1, characterized in that, The algorithm for predicting the optimal timing for pre-delivery phone calls determines the best time for such calls and sends a notification to the courier's device, including: Acquire basic data, which includes the historical signature time distribution data of recipients, occupational tags, identification information of weekdays and holidays, historical connection time records of pre-delivery calls, scene tags corresponding to the delivery address, and access control open time data of the area where the delivery address is located; The time features are divided into 24 discrete time periods by hour. One-hot encoding is used to convert occupational and scene labels into binary features, and information on weekdays and / or holidays and access control hours is converted into binary features. Using whether the call is connected at each time period as the target variable, a random forest machine learning model is trained using the collected and processed feature data. One hour before the package enters the delivery sequence, the relevant feature data of the package recipient is input, and the model outputs the probability of the call being connected at each time period, and selects the 1-2 time periods with the highest probability as the best time periods for call connection. The system generates a reminder message based on the optimal time for making a phone call and the corresponding probability of the call being connected, and then sends the reminder message to the courier's device.

6. The method for delivering customized packages according to claim 1, characterized in that, The real-time verification of package receipt status using the intelligent package status verification algorithm includes: Obtain the GPS coordinates of the courier when scanning the package waybill, the delivery address coordinates recorded on the package waybill, the specific time of scanning and signing, the courier's movement trajectory data for the past 10 minutes before scanning, and the recipient's type information; Calculate the straight-line distance deviation between the GPS coordinates of the courier scanning the package waybill and the delivery address coordinates recorded on the package waybill, and calculate the time deviation between the specific time of scanning and signing for the package and the estimated delivery time of the intelligent route planning. Analyze the continuity of the courier's trajectory and determine whether there are any abnormal jumps based on the continuity of the courier's trajectory; Based on the calculated straight-line distance deviation, time deviation, and continuity judgment results, the status of the package is verified to be normal receipt.

7. The method for delivering customized packages according to claim 1, characterized in that, The process of removing packages that have been successfully signed for from the independent delivery list while retaining information on incomplete or pending packages includes: The courier scans the package for signature and submits the signature data on their end. Real-time receipt information of packages, including receipt time, recipient type, scanning location, and credibility determination result; Based on the results of the intelligent verification algorithm for package status, confirm whether the package has been validly signed for. For packages that have been determined to be validly signed for or confirmed to be valid after review, the list removal process will be initiated; packages marked as pending review will be reviewed, and packages marked as abnormal and not yet verified will undergo secondary verification. Initiate the list removal process to delete all displayed information of packages that have been determined to be validly signed for or confirmed to be valid after review from the independent pending delivery list, including priority indicators, delivery deadlines, and call timings. The updated standby list retains information on packages that have not yet been delivered and packages marked as "pending review".

8. A customized service post-parcel delivery device, used in the customized service post-parcel delivery method as described in any one of claims 1-7, characterized in that, include: The independent dispatch list construction module is used to complete package tagging and independent dispatch list construction based on customized service requirements, and to prioritize and sort the packages in the independent dispatch list. The telephone call timing prediction module is used to build an optimal telephone call timing prediction algorithm to determine the best time for pre-delivery telephone calls and to send a reminder message to the courier. The package receipt status verification module is used to verify the package receipt status in real time using an intelligent package status verification algorithm. The Independent Pending Delivery List Update module is used to remove packages that have been successfully signed for from the Independent Pending Delivery List, while retaining information on incomplete or pending packages.

9. An electronic device comprising a memory and at least one processor, wherein the memory stores instructions; characterized in that, The at least one processor invokes the instructions in the memory to cause the electronic device to perform the steps of the customized service post-parcel delivery method as described in any one of claims 1-7.

10. A computer-readable storage medium storing instructions thereon, characterized in that, When the instructions are executed by the processor, they implement the various steps of the customized service post-parcel delivery method as described in any one of claims 1-7.

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