CN111291938A

CN111291938A - Prompt method and device for quick delivery order

Info

Publication number: CN111291938A
Application number: CN202010119426.4A
Authority: CN
Inventors: 何柳华
Original assignee: Dongpu Software Co Ltd
Current assignee: Dongpu Software Co Ltd
Priority date: 2020-02-26
Filing date: 2020-02-26
Publication date: 2020-06-16
Anticipated expiration: 2040-02-26
Also published as: CN111291938B

Abstract

The application discloses a prompt method and a prompt device for a quick delivery order, electronic equipment and a computer storage medium, wherein the prompt method and the prompt device are used for responding to the action of starting an application of a user terminal, acquiring the position information of the user terminal and dynamically updating the predicted order quantity of an area where the user terminal is located; generating a predicted order heat map containing a plurality of areas according to the predicted order quantity of each area; and pushing the predicted order heat map to an operator terminal. The predicted order popularity graph reflects the popularity degree of distribution business possibly generated in each area of the plurality of areas, and a salesman can go to an area which is close to the salesman and has a high popularity according to the popularity degree of each area, so that the advantage of the position is obtained in the system order dispatching process. On the other hand, the method can monitor the application of a plurality of delivery platforms simultaneously and predict the order popularity in a future period of time, so that a salesman can acquire express delivery services of various platforms and various types on one platform.

Description

Prompt method and device for quick delivery order

Technical Field

The application relates to the technical field of logistics, in particular to a prompt method and device for a quick delivery order, electronic equipment and a computer storage medium.

Background

Logistics is a process in which functions such as transportation, storage, handling, transportation, packaging, distribution, information processing, and the like are organically combined to meet a user's request as needed during the process of moving an article from a supply location to a receiving location. The development of the internet makes online shopping become a part of people's life, and for example, take-out, leg running, home arrival and the like distribute and go to home services, so that people can enjoy various conveniences without going out of home.

In the field of express delivery, a system is generally adopted to automatically dispatch an order or a receiving businessman is adopted to preempt the order. Both order receiving rules have certain consideration to the geographic position of the salesman and the position of the order sending, which can save much time and efficiency of picking up the order and sending the order. The system will tend to select the collecting businessmen 100 meters away from the merchant and will not select the collecting businessmen 1 kilometer away from the merchant when dispatching the order. Experienced acquisition attendants may arrive at a fixed location at a fixed time period based on experience to make acquisition easier or to take a minimum of time to complete the acquisition.

However, in a time period with less package service, package service members are usually gathered together for chatting to wait for an order, which not only wastes the resources of the package service members, but also reduces the income of the package service members. The reason is that a plurality of platforms which need express delivery service currently, such as Mei Tuo, hungry, Jingdong arrive at home, Ding Dong buy vegetables and the like, each platform has a home delivery application, the types of orders for express delivery are various, the different types of services include express delivery, fast food, leg running and the like, the different platforms and the different types of delivery services are distributed on a plurality of applications, if a salesman only registers and downloads one application, the services can be received less, for example, fast food receiving and express receiving cannot be processed on the same application at the same time, Mei Tuo and fast food receiving cannot be processed on the same application at the same time, and if a plurality of applications are registered, the orders which conflict in time can be received, the delivery task cannot be completed on time, and the service evaluation of the business collecting personnel is influenced. On the other hand, the existing platform cannot effectively provide position reminding of order sending business for collecting business members, and the collecting business members cannot go to areas possibly generating distribution business in a targeted manner in advance and actively participate in the order sending process.

Disclosure of Invention

The application aims to provide a prompt method and a prompt device for express delivery orders, electronic equipment and a computer storage medium, so that an operator can acquire express delivery services of different platforms and different types on the same platform, position prompt of the order sending service can be provided for the operator, and the operator can pertinently go to an area where the delivery service is possibly generated in advance and actively participate in the order sending process.

The purpose of the application is realized by adopting the following technical scheme:

in a first aspect, the present application provides a method for reminding a quick delivery order, including:

responding to the action of starting an application of a user terminal, acquiring the position information of the user terminal, and dynamically updating the predicted order number of the area where the user terminal is located;

generating a predicted order heat map containing a plurality of areas according to the predicted order quantity of each area;

and pushing the predicted order heat map to an operator terminal.

Therefore, when monitoring that the user terminal starts the application of express delivery, judging that the user terminal is likely to generate delivery service, dynamically updating the predicted order quantity of the area in real time according to the position information of the user terminal, for example, adding one to the predicted order quantity of the area, and generating a predicted order heat map with the area as a whole by using the predicted order quantity of each area to reflect the hot degree of each area including a plurality of areas likely to generate delivery service, wherein the higher the hot degree is, the more likely the area is to generate a large amount of delivery service. The salesman can go to the area which is close to the salesman and has higher popularity according to the popularity degree of each area, and the advantage of the position can be obtained in the system order dispatching process. On the other hand, the application of the plurality of delivery platforms can be monitored simultaneously, the potential delivery demands of the users can be counted no matter which delivery platform and which delivery service are selected by the users, the potential delivery demands are used for predicting the order popularity in a future period of time, so that a salesman can acquire the express delivery services of various platforms and various types on one platform, and the receiving of orders with time conflicts can be avoided.

Optionally, the generating a predicted order heat map including a plurality of areas according to the predicted order quantity of each area includes:

determining display parameters of each area according to the predicted order number of the area;

and generating a predicted order heat map containing a plurality of areas by using the display parameters of each area.

In this way, when the order heat map is displayed on the salesman terminal, the layout blocks corresponding to each area can display different colors according to different order quantities, for example, each area can be displayed as dark red, bright red, light red, white and the like from high to low according to the heat, so that the salesman can select the judgment information for going to a certain area.

predicting the order type of the user terminal, and dynamically updating the predicted order quantity of the area where the user terminal is located in the order type;

generating a predicted order heat map of each order type of the plurality of areas according to the predicted order quantity of each order type of each area;

and generating a predicted order heat map containing all the order types according to the predicted order heat map of each order type of the plurality of areas.

Therefore, various types of order heat maps can be counted according to the types of the orders by using the monitored data, wherein the types of the orders are express bills, fast food bills, leg running bills and the like, the heat map data of all the orders are integrated into a heat map containing all the orders, and a piece collecting salesman can see the total distribution demand heat of each area on one heat map, so that the method is suitable for salesmen who take over various types of distribution services; the operator can also select to view any type of order heat map on the operator terminal, and can decide which area to go to receive the order according to the order type preferred by the operator.

Optionally, the pushing the predicted order heat map to an attendant terminal includes:

acquiring the order type preferred by each operator;

and pushing the predicted order heat map of each order type of the plurality of areas to an operator terminal of an operator who prefers orders of the order type.

Therefore, the heat degree diagram of the order type preferred by the operator can be pushed for the operator in a targeted manner, the operator can conveniently go to the area with higher order heat degree of the type, and the operator can be helped to take orders.

Optionally, the method further comprises:

according to historical orders of the salesmen, taking the areas where the salesmen frequently seizes the articles and/or the areas with high rating as the recommended areas of the salesmen;

acquiring the position information of the operator terminal, and taking the operator as a recommended operator in the recommended area when the operator is in the recommended area of the operator;

recommending a recommended salesman in the area and/or a salesman nearby to the user terminal as an alternative reservation salesman in response to the action of starting the application by the user terminal;

and responding to the action of selecting the reserved service operator by the user terminal, generating a first reserved order and transmitting the first reserved order to the service operator terminal of the selected reserved service operator.

Therefore, when the user opens the terminal, the user is provided with an option of reserving the salesclerks, the user can select the salesclerks recommended by the system or nearby to provide delivery service for the user, and a reservation order for the business member is formed after the user selects the salesclerks. The method and the system can provide a recommendation function of a specific area for an operator, wherein the specific area is an area which the operator frequently requests, is relatively familiar to the operator and can improve the receiving efficiency, and the specific area can also be an area which a client has more comments on the operator. After the salesman arrives at the designated area or goes to the designated area, a package pulling salesman can be recommended to the user terminal, or the user is reminded that a familiar salesman is going to the current area, and the user selects whether to reserve a package pulling for the salesman or not. The long service forms a trust relationship, which is beneficial to end management and improves the user experience of both the merchant and the salesman.

Optionally, the method further comprises:

responding to the action of starting the application of the user terminal, and pushing an option whether a reservation order is generated or not to the user terminal;

responding to the action of selecting and generating the reservation order by the user terminal, generating a second reservation order and sending the second reservation order to the operator terminals of a plurality of operators;

and responding to the action of the order grabbing of the operator terminal, and sending prompt information containing the order grabbing operator to the user terminal.

Thus, when a user has a commodity distribution demand, the application is started, an appointment order is generated, the appointment order is simultaneously sent to a salesman terminal in a certain area or a certain preset distance, a plurality of salesmen simultaneously receive the distribution demand and perform order grabbing, a prompt is sent to the user terminal after the order grabbing, and the prompt information is, for example: the order of this time will be provided with a collecting service for you by job number 10086 riders.

Optionally, the method further comprises:

and if the user terminal does not generate the service within the first preset time, canceling the monitoring of the action of the user terminal or monitoring the action of the user terminal once every second preset time.

In the process of predicting the order number of a certain area and generating an order heat map by using statistical data, if all user terminals start monitoring when starting, the data volume of the terminals needing to be monitored and counted is too much, which causes pressure on a system server, so that the statistics of the terminals without services in a certain time needs to be cancelled and reduced, or the user terminals are not monitored frequently, but the monitoring time length is selected to be prolonged, and the user terminals are added into the statistics after the user has operation behaviors. Specifically, the monitoring of the user terminal may be performed by a mobile phone to remind the monitoring user terminal of whether an operation occurs, and then the monitoring user terminal sends the operation to the system server.

Optionally, before canceling monitoring the action of the user terminal or monitoring the action of the user terminal once every second predetermined time period if the user terminal does not generate a service within the first predetermined time period, the method further includes:

predicting the order type of the user terminal;

determining the first predetermined length of time based on the predicted order type and/or the current time.

Since the express mail collecting time is regular, for example, the collecting service in the morning on duty is very little, and a lot of service to be collected is generated in the noon or afternoon, the first predetermined time period can be set to be short in the morning period, and the first predetermined time period can be set to be long in the noon or afternoon period. In addition, a predetermined time period may be set in conjunction with the type of order, such as a catering type fast food delivery, with a normal order time of 10 to 2 pm, and if the current 9 am is less likely to have an order, the 10 minutes may be shortened to 5 minutes.

Optionally, the method further comprises:

responding to the action of selecting the leg running service by the user terminal, and sending options containing an addressee and an addressee to the user terminal;

responding to the action of selecting the receiving by the user terminal, acquiring a pickup position and then monitoring the action of the user terminal;

and responding to the action of selecting the mail by the user terminal, taking the current position of the user terminal as the mail position and monitoring the action of the user terminal.

For some special tickets of leg running services, since the ticket placing position may not be consistent with the ticket collecting position, the operation of the user terminal needs to be further judged to monitor or send the message. For example, when the user terminal selects to help me, i.e. to receive a service, the package may be in other locations, and it is necessary to wait for the user to determine the package location before monitoring statistics are performed, so as to notify nearby package retrievers after determination. If the user terminal selects to help the user to send the mail, namely the mail sending service, the geographical position of the user terminal can be automatically filled, and after the parcel position is determined, direct monitoring and statistics are carried out.

In a second aspect, the present application provides a prompt device for a quick delivery order, including:

the dynamic updating module is used for responding to the action of starting the application of the user terminal, acquiring the position information of the user terminal and dynamically updating the predicted order number of the area where the user terminal is located;

the heat map generation module is used for generating a predicted order heat map containing a plurality of areas according to the predicted order quantity of each area;

and the heat map pushing module is used for pushing the predicted order heat map to an operator terminal.

Optionally, the heat map generating module includes:

the display parameter determining unit is used for determining the display parameters of each area according to the predicted order quantity of the area;

and the first heat map generating unit is used for generating a predicted order heat map containing a plurality of areas by using the display parameters of each area.

Optionally, the heat map generating module includes:

the classification updating unit is used for predicting the order type of the user terminal and dynamically updating the predicted order quantity of the area where the user terminal is located in the order type;

the second heat map generating unit is used for generating a predicted order heat map of each order type of the plurality of areas according to the predicted order quantity of each order type of each area;

and the third heat map generating unit is used for generating a predicted order heat map containing all the order types according to the predicted order heat map of each order type of the plurality of areas.

Optionally, the heat map pushing module includes:

the preference acquisition unit is used for acquiring the order type preferred by each waiter;

and the heat map pushing unit is used for pushing the predicted order heat map of each order type of the plurality of areas to the operator terminal of the operator who prefers the order of the order type.

Optionally, the prompt device for the quick delivery order further includes a first prompt module, where the first prompt module includes:

the system comprises an operator area association unit, a recommendation unit and a recommendation unit, wherein the operator area association unit is used for taking an area where an operator frequently draws a piece and/or an area with a high rating as a recommended area of the operator according to a historical order of the operator;

a recommended salesman determining unit, configured to obtain location information of the salesman terminal, and when the salesman is in a recommended area of the salesman, use the salesman as the recommended salesman in the area;

the alternative recommending unit is used for responding to the action of starting the application of the user terminal and recommending a recommended salesman in the area and/or a salesman nearby to the user terminal as an alternative reservation salesman;

and the first prompting unit is used for responding to the action of selecting the reserved service operator by the user terminal, generating a first reserved order and sending the first reserved order to the service operator terminal of the selected reserved service operator.

Optionally, the prompt device for the quick delivery order further includes a second prompt module, where the second prompt module includes:

the reservation inquiring unit is used for responding to the action of starting the application of the user terminal and pushing an option whether a reservation order is generated or not to the user terminal;

the order generating unit is used for responding to the action of selecting and generating the reservation order by the user terminal, generating a second reservation order and sending the second reservation order to the operator terminals of a plurality of operators;

and the second prompting unit is used for responding to the action of order grabbing of the operator terminal and sending prompting information containing the order grabbing operator to the user terminal.

Optionally, the apparatus for prompting a quick-delivery order further includes a monitoring resource releasing module, where the monitoring resource releasing module is configured to cancel monitoring of the action of the user terminal or monitor the action of the user terminal once every second predetermined time if the user terminal does not generate a service within the first predetermined time.

Optionally, the monitoring resource releasing module is further configured to predict an order type of the user terminal; determining the first predetermined length of time based on the predicted order type and/or the current time.

Optionally, the prompt device for the quick delivery order further includes a leg-running control module, where the leg-running control module includes:

the leg-running inquiring unit is used for responding to the action of selecting leg-running service by the user terminal and sending options containing addressees and mails to the user terminal;

the receiving monitoring unit is used for responding to the action of selecting receiving by the user terminal, acquiring a pickup position and then monitoring the action of the user terminal;

and the sending and monitoring unit is used for responding to the action of selecting the sending by the user terminal, taking the current position of the user terminal as a sending position and monitoring the action of the user terminal.

In a third aspect, the present application provides an electronic device, including a processor and a memory, where the processor executes computer instructions stored in the memory, so that the electronic device executes any one of the above methods for reminding a quick delivery order.

In a fourth aspect, the present application provides a computer storage medium, which includes computer instructions, and when the computer instructions are run on an electronic device, the electronic device executes any one of the above methods for prompting a quick delivery order.

Compared with the prior art, the technical effects of the application include:

the application discloses a prompt method and a prompt device for express delivery orders, electronic equipment and a computer storage medium, when it is monitored that a user terminal starts application of express delivery, the user terminal is judged that delivery services are likely to be generated by the user terminal, the predicted order quantity of an area where the user terminal is located is dynamically updated in real time according to position information of the user terminal, for example, the predicted order quantity of the area is increased by one, a predicted order heat map with the area as a whole is generated by using the predicted order quantity of each area, so that the hot degree of delivery services likely to be generated by each area in a plurality of areas is reflected, and the higher the hot degree represents that the area is more likely to generate a large amount of delivery services. The salesman can go to the area which is close to the salesman and has higher popularity according to the popularity degree of each area, and the advantage of the position can be obtained in the system order dispatching process. On the other hand, the application of the plurality of delivery platforms can be monitored simultaneously, the potential delivery demands of the users can be counted no matter which delivery platform and which delivery service are selected by the users, the potential delivery demands are used for predicting the order popularity in a future period of time, so that a salesman can acquire the express delivery services of various platforms and various types on one platform, and the receiving of orders with time conflicts can be avoided.

Drawings

The present application is further described below with reference to the drawings and examples.

Fig. 1 is a schematic flowchart of a method for reminding a quick delivery order according to a first embodiment;

FIG. 2 is a schematic diagram of an interface for displaying a predicted order popularity graph on an attendant terminal, according to an embodiment;

FIG. 3 is a first flowchart of step S120 in FIG. 1;

FIG. 4 is a second flowchart of step S120 in FIG. 1;

FIG. 5 is a schematic flow chart of step S130 in FIG. 1;

FIG. 6 is a partial flowchart of a method for reminding a quick delivery order according to a second embodiment;

FIG. 7 is a partial flowchart of a method for reminding a quick delivery order according to a third embodiment;

FIG. 8 is a partial flowchart of a method for reminding a quick delivery order according to a fourth embodiment;

fig. 9 is a partial flowchart of a method for reminding a quick delivery order according to a fifth embodiment;

fig. 10 is a schematic structural diagram of a prompt device 600 for a quick delivery order according to a sixth embodiment;

FIG. 11 is a schematic diagram of a first structure of the heat map generation module 620 in FIG. 10;

FIG. 12 is a schematic diagram of a second structure of the heat map generation module 620 in FIG. 10;

FIG. 13 is a schematic diagram of an architecture of the heat map pushing module 630 of FIG. 10;

FIG. 14 is a structural diagram of the first prompt module 640 in FIG. 10;

FIG. 15 is a schematic diagram of an architecture of the second hinting module 650 of FIG. 10;

FIG. 16 is a schematic diagram of one configuration of the leg race control module 670 of FIG. 10.

In the figure: 600. a prompt device for sending orders quickly; 610. a dynamic update module; 620. a heat map generation module; 621. a display parameter determination unit; 622. a first heat map generation unit; 623. a classification updating unit; 624. a second heat map generation unit; 625. a third heat map generation unit; 630. a heat map pushing module; 631. a preference acquisition unit; 632. a heat map pushing unit; 640. a first prompt module; 641. an operator area association unit; 642. a recommended salesman determining unit; 643. an alternative recommending unit; 644. a first prompting unit; 650. a second prompt module; 651. a reservation inquiring unit; 652. an order generating unit; 653. a second prompting unit; 660. a monitoring resource release module; 670. a leg-running control module; 671. a leg-race inquiry unit; 672. an addressee monitoring unit; 673. a sending and monitoring unit; 710. a user terminal; 720. and (4) an operator terminal.

Detailed Description

The present application is further described with reference to the accompanying drawings and the detailed description, and it should be noted that, in the present application, the embodiments or technical features described below may be arbitrarily combined to form a new embodiment without conflict.

Referring to fig. 1, a first embodiment provides a method for reminding a quick delivery order, which includes steps S110 to S130.

The order refers to an express order, a take-away order, a leg-race order, a home-arrival order, or an order delivered across cities.

Step S110: and responding to the action of starting the application of the user terminal, acquiring the position information of the user terminal, and dynamically updating the predicted order number of the area where the user terminal is located.

The user terminal refers to terminal equipment used by users with express delivery requirements, such as merchants, senders and the like, and examples of the terminal equipment include intelligent terminal equipment such as mobile phones, tablet computers, computers and intelligent wearable equipment. The type of merchant may be a fast food store, a corporate enterprise, a personal service, a pick-up and delivery service, etc. The service platform of butt joint is not unique, such as a dish and bird platform, a platform starved and a beautiful party take-out. The information of the user terminal initiated by the merchant is called by the server to calculate the interface information of each platform. Examples of the applications include an app (application) of a American group merchant, an app of a Baidu takeaway merchant edition, an app of a Yunjian express delivery, an app of a vegetable and bird parcel, and a small program of a smooth and high-speed transportation. The location information of the user terminal may be expressed by longitude and latitude. The dynamic updating refers to monitoring the operation of the user terminal at a certain frequency, updating the counted data in real time, counting the merchant information, the merchant type, the position information and the like of the user terminal when the user terminal is monitored to be started, and uploading the data of the user terminal to the server in a message form or other forms. The system in the text refers to a prompt system for the quick delivery order, which comprises a prompt device for the quick delivery order, and can perform data processing, historical data storage and the like on data uploaded to a server by a user terminal.

In this embodiment, the level of the area may be a street, a building, and the like. When the user terminal is monitored to be started, a representative merchant is about to send orders or has a tendency of using within a certain time, at the moment, the use data of the user terminal can be counted, for example, the predicted order quantity of a building where the user terminal is located can be added by one, an order popularity map of a certain area is formulated according to the order quantity, and the order popularity map is pushed to a gathering salesman.

Step S120: and generating a predicted order heat map containing a plurality of areas according to the predicted order quantity of each area.

The display interface of the predicted order heat map on the waiter terminal is shown in fig. 2, for example.

Referring to fig. 3, the step S120 may include steps S121 to S122.

Step S121: and determining the display parameters of each area according to the predicted order number of the area.

The display parameters may include one or more of element density, color, brightness, saturation, contrast, exposure. The shape of the element may be circular, polygonal, etc., and the size of the element may be the same or different. With continued reference to fig. 2, a densely distributed circle may be used to indicate a greater number of predicted orders and a greater popularity for a region, and a more loosely distributed prototype may be used to indicate a lesser number of predicted orders and a lesser popularity for a region.

Step S122: and generating a predicted order heat map containing a plurality of areas by using the display parameters of each area.

After the information such as the number, the position and the like of the user terminal is obtained, various types of order heat maps can be calculated by using a k-means clustering algorithm, and then the heat map data of all orders are integrated into a heat map containing all orders. The k-means is one of clustering algorithms, and has the characteristics of simplicity, good comprehension and high operation speed.

Referring to fig. 4, the step S120 may include steps S123 to S125.

Step S123: and predicting the order type of the user terminal, and dynamically updating the predicted order quantity of the area where the user terminal is located in the order type.

In this embodiment, the order type may include a courier order, a fast food order, a leg race order, and the like.

In this step, the manner of predicting the order type of the user terminal may be: and querying a historical order of the user terminal, and predicting the type of the order at this time by using the historical order. For example, if the historical orders of a certain user terminal are all takeout delivery orders, it can be predicted that the type of the current order is also likely to be takeout delivery orders.

Step S124: and generating a predicted order heat map of each order type of the plurality of areas according to the predicted order quantity of each order type of each area.

For example, a predicted order heat map of courier type, a predicted order heat map of legging type, a predicted order heat map of takeaway type, etc. for the plurality of areas may be generated.

Step S125: and generating a predicted order heat map containing all the order types according to the predicted order heat map of each order type of the plurality of areas.

The step integrates the heat map data of each order into a heat map containing all orders, and the business collecting staff can see the total distribution demand heat of each area on one heat map, so that the method is suitable for the staff taking over various kinds of distribution business. The operator can also select to view any type of order heat map on the operator terminal, and can decide which area to go to receive the order according to the order type preferred by the operator.

Step S130: and pushing the predicted order heat map to an operator terminal.

The salesman terminal is a terminal device used by a salesman, and can be an intelligent terminal device such as a gun, a mobile phone, a tablet computer, a computer and an intelligent wearable device.

Because the types of the packages which are good at or love for each salesman are different, the salesman can define labels for the salesman, such as fast food, fast food and express. And when the article collecting peak is in the article collecting peak, the system can manage and recommend according to the label of the article collecting salesman. Such as giving priority to a clerk having a snack label placed thereon when there is a snack type order.

Referring to fig. 5, the step S130 may include steps S131 to S132.

Step S131: and acquiring the order type preferred by each waiter.

The mode of obtaining the order type preferred by the salesman may be: the method comprises the steps of setting a label of an order type for each salesman in advance, and inquiring the label of a certain salesman to obtain the order type preferred by the salesman. The label set for the service personnel can be edited, and the editing operation comprises modification, addition, deletion and the like.

Step S132: and pushing the predicted order heat map of each order type of the plurality of areas to an operator terminal of an operator who prefers orders of the order type.

For example, the predicted order heat map for an order of a courier type may be pushed to a terminal of a clerk who prefers a courier type order. Therefore, the heat degree diagram of the order type preferred by the operator can be pushed for the operator in a targeted manner, the operator can conveniently go to the area with higher order heat degree of the type, and the operator can be helped to take orders.

The predicted order popularity map reflects how popular each of the plurality of regions is likely to generate delivery traffic, with higher popularity indicating that the region is more likely to generate a larger amount of delivery traffic. The salesman can go to the area which is close to the salesman and has higher popularity according to the popularity degree of each area, and the advantage of the position can be obtained in the system order dispatching process. On the other hand, the application of the plurality of delivery platforms can be monitored simultaneously, the potential delivery demands of the users can be counted no matter which delivery platform and which delivery service are selected by the users, the potential delivery demands are used for predicting the order popularity in a future period of time, so that a salesman can acquire the express delivery services of various platforms and various types on one platform, and the receiving of orders with time conflicts can be avoided.

Referring to fig. 6, the second embodiment provides a method for reminding a quick delivery order, and after step S130, the method further includes steps S210 to S240.

Step S210: according to historical orders of the salesclerk, taking the area where the salesclerk frequently draws the articles and/or the area with higher rating as the recommended area of the salesclerk.

The embodiment can provide a recommendation function of a specific area for an operator, wherein the specific area is, for example, an area which the operator often seizes, is familiar to the operator, and can improve the seizing efficiency. The specific area may also be an area where the customer is more highly rated by the clerk, etc.

Step S220: and acquiring the position information of the operator terminal, and taking the operator as a recommended operator in the area when the operator is in the recommended area of the operator.

After the salesman arrives at the designated area or goes to the designated area, a package pulling salesman can be recommended to the user terminal, or the user is reminded that a familiar salesman is going to the current area, and the user selects whether to reserve a package pulling for the salesman or not. The long service forms a trust relationship, which is beneficial to end management and improves the user experience of both the merchant and the salesman.

Step S230: and in response to the action of starting the application by the user terminal, recommending the recommended salesman in the area and/or the salesman nearby to the user terminal as an alternative reservation salesman.

When the user opens the terminal, the user is provided with an option of reserving the salesman, and the user can select the salesman recommended by the system or nearby to provide the delivery service for the user.

Step S240: and responding to the action of selecting the reserved service operator by the user terminal, generating a first reserved order and transmitting the first reserved order to the service operator terminal of the selected reserved service operator.

Thus, the reservation order of the package service staff is formed after the user finishes the selection. The method is suitable for a scene of delivering the cross-city express, and the method provided by the embodiment can be selected when the user needs to designate a salesman. After the user terminal and the salesman terminal determine the service relationship, the system plans the path, and the salesman obtains the package according to the path to complete the service.

Referring to fig. 7, the third embodiment provides a method for reminding a quick delivery order, and after step S130, the method further includes steps S310 to S330.

Step S310: and responding to the action of starting the application of the user terminal, and pushing an option whether to generate a reservation order to the user terminal.

Step S320: and responding to the action of selecting and generating the reservation order by the user terminal, generating a second reservation order and sending the second reservation order to the operator terminals of a plurality of operators.

Step S330: and responding to the action of the order grabbing of the operator terminal, and sending prompt information containing the order grabbing operator to the user terminal.

The order snatching operator refers to an operator who uses an operator terminal to snatch orders. The embodiment is suitable for express delivery in the same city, and rapid response can be made due to the fact that the destination is not far away from the place of ordering. Thus, when a user has a commodity distribution demand, the application is started, an appointment order is generated, the appointment order is simultaneously sent to a salesman terminal in a certain area or a certain preset distance, a plurality of salesmen simultaneously receive the distribution demand and perform order grabbing, a prompt is sent to the user terminal after the order grabbing, and the prompt information is, for example: the order of this time will be provided with a collecting service for you by job number 10086 riders.

Referring to fig. 8, the fourth embodiment provides a method for reminding a quick delivery order, and after step S130, the method further includes step S410: and if the user terminal does not generate the service within the first preset time, canceling the monitoring of the action of the user terminal or monitoring the action of the user terminal once every second preset time.

The first predetermined period of time is a predetermined period of time, for example 10 minutes or 5 minutes. The second predetermined period of time is a predetermined period of time, such as 15 minutes, 5 minutes or 3 minutes.

For example, after an application of the user terminal is started in a certain beverage shop, no operation is performed on the user terminal within 10 minutes, and no order is generated, the statistical data of the user terminal can be cancelled after the ten minutes, and the number of merchants in the corresponding geographic location is reduced by 1. The embodiment acquires the statistical data by monitoring the action of the user terminal.

In some embodiments, before the step S410, the method may further include steps S401 to S402.

Step S401: and predicting the order type of the user terminal.

Step S402: determining the first predetermined length of time based on the predicted order type and/or the current time.

Since the express mail collecting time is regular, for example, the collecting service in the morning on duty is very little, and a lot of service to be collected is generated in the noon or afternoon, the first predetermined time period can be set to be short in the morning period, and the first predetermined time period can be set to be long in the noon or afternoon period. In addition, a predetermined time period may be set in connection with the type of order, for example, a catering type fast food delivery, with a normal order-making time of 10 to 2 pm, and if the possibility of an order-making is now low at 9 am, the first predetermined time period may be shortened from 10 minutes to 5 minutes.

Referring to fig. 9, the fifth embodiment provides a method for reminding a quick delivery order, and after step S130, the method further includes steps S510 to S530.

Step S510: and responding to the action of selecting the leg running service by the user terminal, and sending options containing addressees and mails to the user terminal.

The leg running service may include taking goods instead of the user going to a place or delivering goods instead of the user going to a place. For some special tickets of leg running services, since the ticket placing position may not be consistent with the ticket collecting position, the operation of the user terminal needs to be further judged to monitor or send the message. In the step, after the user terminal selects the leg running service, specific leg running service options are pushed to the user terminal, such as 'help me get' or 'help me send', wherein the former is to help the user go to other places to get parts and send goods to the user, and the latter is to get parts from the user and send the parts to other places.

Step S520: and responding to the action of selecting the receiving by the user terminal, acquiring the pickup position and monitoring the action of the user terminal.

When the user terminal selects to help me, namely to receive the business, the package may be in other positions, and monitoring statistics need to be carried out after the user determines the package position, so that a nearby package carrier is notified after determination.

Step S530: and responding to the action of selecting the mail by the user terminal, taking the current position of the user terminal as the mail position and monitoring the action of the user terminal.

If the user terminal selects to help the user to send the mail, namely the mail sending service, the geographical position of the user terminal can be automatically filled, and after the parcel position is determined, direct monitoring and statistics are carried out.

Referring to fig. 10, a sixth embodiment provides a prompt device 600 for a quick delivery order, which includes a dynamic update module 610, a heat map generation module 620, and a heat map pushing module 630, where the dynamic update module 610 performs data interaction with the heat map generation module 620, and the heat map generation module 620 performs data interaction with the heat map pushing module 630.

The dynamic update module 610 is configured to, in response to an action of starting an application by the user terminal 710, obtain location information of the user terminal 710, and dynamically update the predicted order quantity of the area where the user terminal 710 is located.

The heat map generation module 620 is configured to generate a predicted order heat map including a plurality of regions according to the predicted order quantity of each region.

The heat map pushing module 630 is configured to push the predicted order heat map to the engineer terminal 720.

Referring to fig. 11, the heat map generating module 620 may include a display parameter determining unit 621, a first heat map generating unit 622, and the display parameter determining unit 621 performs data interaction with the first heat map generating unit 622.

The display parameter determination unit 621 is configured to determine a display parameter of each area according to the predicted order quantity of the area.

The first heat map generating unit 622 is configured to generate a predicted order heat map including a plurality of regions by using the display parameters of each region.

Referring to fig. 12, the heat map generation module 620 may include a classification update unit 623, a second heat map generation unit 624, and a third heat map generation unit 625, where the classification update unit 623 performs data interaction with the second heat map generation unit 624, and the second heat map generation unit 624 performs data interaction with the third heat map generation unit 625.

The classification updating unit 623 is configured to predict an order type of the user terminal 710, and dynamically update the predicted order quantity of the area where the user terminal 710 is located in the order type.

The second heat map generating unit 624 is configured to generate a predicted order heat map for each order type of the plurality of areas according to the predicted order quantity of each order type for each area.

The third heat map generating unit 625 is configured to generate a predicted order heat map including all order types according to the predicted order heat map of each order type of the plurality of areas.

Referring to fig. 13, the heat map pushing module 630 may further include a preference obtaining unit 631 and a heat map pushing unit 632, where the preference obtaining unit 631 performs data interaction with the heat map pushing unit 632, and the heat map pushing unit 632 further performs data interaction with the second heat map generating unit 624.

The preference acquiring unit 631 is configured to acquire an order type preferred by each of the operators.

The heat map pushing unit 632 is configured to push the predicted order heat map of each order type of the plurality of areas to the operator terminal 720 of the operator who prefers the order of the order type.

With continued reference to fig. 10, the apparatus 600 for alerting of a quick pick order may further include a first module 640. The first prompt module 640 may also interact with the dynamic update module 610 for data.

Referring to fig. 14, the first prompting module 640 may include an attendant area associating unit 641, a recommended attendant determination unit 642, an alternative recommending unit 643 and a first prompting unit 644, where the attendant area associating unit 641 performs data interaction with the recommended attendant determination unit 642, the recommended attendant determination unit 642 performs data interaction with the alternative recommending unit 643, and the alternative recommending unit 643 performs data interaction with the first prompting unit 644.

The salesman area association unit 641 is configured to, according to the historical order of the salesman, take the area where the salesman frequently draws the piece and/or the area where the rating is high as the recommended area of the salesman.

The recommended salesman determining unit 642 is configured to obtain location information of the salesman terminal 720, and when the salesman is in the recommended area of the salesman, take the salesman as the recommended salesman in the area.

The alternative recommending unit 643 is configured to recommend, to the user terminal 710, a recommended salesman in the area and/or a salesman nearby as an alternative reservation salesman in response to the action of starting the application by the user terminal 710.

The first prompting unit 644 is configured to generate and transmit a first reservation order to the operator terminal 720 of the selected reservation operator in response to an action of the user terminal 710 selecting a reservation operator.

With continued reference to fig. 10, the apparatus 600 for alerting of quick orders further includes a second module 650 for prompting. The second prompting module 650 can also interact with the dynamic update module 610 for data.

Referring to fig. 15, the second prompting module 650 may include a reservation inquiring unit 651, an order generating unit 652 and a second prompting unit 653, where the reservation inquiring unit 651 performs data interaction with the order generating unit 652, and the order generating unit 652 performs data interaction with the second prompting unit 653.

The reservation inquiring unit 651 is configured to push an option of whether to generate a reservation order to the user terminal 710 in response to an action of the user terminal 710 to start an application.

The order generation unit 652 is configured to generate and transmit a second reservation order to the operator terminals 720 of the plurality of operators in response to the user terminal 710 selecting an action to generate a reservation order.

The second prompt unit 653 is configured to send a prompt message containing the order snatching operator to the user terminal 710 in response to the order snatching action of the operator terminal 720.

With continued reference to fig. 10, the apparatus 600 for reminding a quick delivery order may further include a monitoring resource releasing module 660, where the monitoring resource releasing module 660 performs data interaction with the dynamic updating module 610. The monitoring resource releasing module 660 is configured to cancel monitoring the action of the ue 710 or monitor the action of the ue 710 once every second predetermined time if the ue 710 does not have a service within the first predetermined time.

In a preferable case, the monitoring resource releasing module 660 is further configured to predict an order type of the user terminal 710; determining the first predetermined length of time based on the predicted order type and/or the current time.

With continued reference to fig. 10, the apparatus 600 for reminding a quick delivery order may further include a leg-run control module 670, wherein the leg-run control module 670 performs data interaction with the dynamic update module 610.

Referring to fig. 16, the running leg control module 670 may include a running leg query unit 671, an incoming monitoring unit 672 and an outgoing monitoring unit 673, wherein the running leg query unit 671 performs data interaction with the incoming monitoring unit 672 and the outgoing monitoring unit 673, respectively.

The leg-milling query unit 671 is configured to send an option including an incoming and an outgoing to the user terminal 710 in response to an action of the user terminal 710 selecting a leg-milling service.

The receiving monitoring unit 672 is configured to monitor the action of the user terminal 710 after acquiring the pickup position in response to the action of the user terminal 710 selecting the receiving.

The mail listening unit 673 is configured to, in response to an action of the user terminal 710 selecting a mail, take the current location of the user terminal 710 as a mail location and listen to the action of the user terminal 710.

A seventh embodiment provides an electronic device, where the electronic device includes a processor and a memory, and the processor executes computer instructions stored in the memory, so that the electronic device executes any one of the methods for reminding a quick delivery order.

An eighth embodiment provides a computer storage medium, which includes computer instructions, when the computer instructions are run on an electronic device, the electronic device executes any one of the above methods for reminding a quick delivery order.

The foregoing description and drawings are only for purposes of illustrating the preferred embodiments of the present application and are not intended to limit the present application, which is, therefore, to the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present application.

Claims

1. A prompt method for a quick delivery order is characterized by comprising the following steps:

and pushing the predicted order heat map to an operator terminal.

2. The method for reminding a quick delivery order of claim 1, wherein the step of generating a predicted order heat map comprising a plurality of areas according to the predicted order quantity of each area comprises:

3. The method for reminding a quick delivery order of claim 1, wherein the step of generating a predicted order heat map comprising a plurality of areas according to the predicted order quantity of each area comprises:

predicting the order type of the user terminal, and dynamically updating the predicted order quantity of the order type in the area where the user terminal is located;

generating a predicted order heat map for each order type of the plurality of areas according to the predicted order quantity of each order type of each area;

and generating the predicted order heat maps containing all the order types of the plurality of areas according to the predicted order heat map of each order type of the plurality of areas.

4. The method for reminding the delivery of an order according to claim 3, wherein the step of pushing the predicted order heat map to an attendant terminal comprises:

acquiring the order type preferred by each operator;

5. The method for reminding a quick delivery order according to claim 1, further comprising:

6. The method for reminding a quick delivery order according to claim 1, further comprising:

7. The method for reminding a quick delivery order according to claim 1, further comprising:

8. The method for reminding of a quick delivery order according to claim 7, wherein before canceling the monitoring of the action of the user terminal or monitoring the action of the user terminal once every second predetermined time period if the user terminal has not been in service for the first predetermined time period, the method further comprises:

predicting the order type of the user terminal;

9. The method for reminding a quick delivery order according to claim 1, further comprising:

10. A prompt device for delivering an order quickly is characterized by comprising: