CN112101826B - Order processing method and device, storage medium and computer equipment - Google Patents

Order processing method and device, storage medium and computer equipment Download PDF

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CN112101826B
CN112101826B CN202011283609.6A CN202011283609A CN112101826B CN 112101826 B CN112101826 B CN 112101826B CN 202011283609 A CN202011283609 A CN 202011283609A CN 112101826 B CN112101826 B CN 112101826B
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CN112101826A (en
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苗森
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Zhejiang Koubei Network Technology Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
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    • H04W—WIRELESS COMMUNICATION NETWORKS
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    • H04W4/027—Services making use of location information using location based information parameters using movement velocity, acceleration information

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Abstract

The application discloses an order processing method and device, a storage medium and computer equipment, wherein the method comprises the following steps: receiving order data; receiving positioning information of a target user corresponding to the order data, and determining estimated store arrival time of the target user according to the positioning information and a target store position corresponding to the order data; and determining the manufacturing sequence of the pre-ordered food corresponding to the order data based on the estimated store time. According to the method and the device, the arrival time of the user is estimated based on the positioning information of the user reported by the client, the accuracy of the arrival time is improved, the arrangement of shop production is facilitated based on the arrival time, and the user can timely get a meal and guarantee the quality of meal products in the arrival shop.

Description

Order processing method and device, storage medium and computer equipment
Technical Field
The present application relates to the field of internet technologies, and in particular, to an order processing method and apparatus, a storage medium, and a computer device.
Background
With the development of internet technology, the catering industry is constantly affected by internet technology. At present, in order to reduce waiting time of a user for eating in a store and improve dining efficiency of the user, a function of ordering the user in advance is provided by many merchants. The commercial tenant can make the food in advance according to the reservation time of the user, and the user can enjoy the ordered food when arriving at the store.
In the prior art, a merchant management device side makes a meal according to an order sequence in an order list, and the order sequence in the order list is arranged according to a reservation time of a user. However, two problems exist in the practical application scenario, one is that the user arrives at a store in advance, but the order food is not made yet, and the user needs to wait; secondly, the merchant makes and finishes the order food in advance, the user arrives later than the appointment time, and the taste of the food is influenced if the food is put for a long time. Therefore, the problem that the order making sequence in the order list is not accurately established in the prior art, so that the order making sequence is not reasonable exists.
Disclosure of Invention
In view of this, the present application provides an order processing method and apparatus, a storage medium, and a computer device.
According to an aspect of the present application, there is provided an order processing method including:
receiving order data;
receiving positioning information of a target user corresponding to the order data, and determining estimated store arrival time of the target user according to the positioning information and a target store position corresponding to the order data;
and determining the manufacturing sequence of the pre-ordered food corresponding to the order data based on the estimated store time.
Optionally, before receiving the location information of the target user corresponding to the order data, the method further includes:
and determining an order task queue corresponding to the target store based on the set store-to-store time corresponding to the order data and the manufacturing time of the pre-ordered food, wherein the order task queue comprises the manufacturing starting time of each order food in the order corresponding to the target store.
Optionally, the determining, based on the estimated store time, a manufacturing sequence of a pre-ordered item corresponding to the order data specifically includes:
determining the manufacturing starting time of the pre-ordered food based on the manufacturing time of the pre-ordered food and the estimated store arrival time;
updating the order task queue based on the manufacturing start time of each order food in the order task queue and the manufacturing start time of the pre-ordering food;
and sending the order task queue to a target store terminal so that the target store terminal can carry out order task scheduling based on the order task queue.
Optionally, the determining the manufacturing start time of the pre-ordered item based on the manufacturing time of the pre-ordered item and the estimated store time specifically includes:
if the number of the pre-ordered food items is at least two, determining the food serving time corresponding to each pre-ordered food item based on the estimated store time and the food item attribute corresponding to each pre-ordered food item;
and determining the manufacturing starting time of each pre-ordered food item based on the manufacturing time of each pre-ordered food item and the food serving time.
Optionally, the determining the estimated store time of the target user according to the positioning information and the target store position corresponding to the order data specifically includes:
acquiring the moving speed and the current position corresponding to the target user according to the positioning information;
determining the estimated store time according to the moving speed and the distance between the current position and the target store position.
Optionally, the order data includes a projected travel mode; the determining the estimated store time of the target user according to the positioning information and the target store position corresponding to the order data specifically includes:
acquiring a current position corresponding to the target user according to the positioning information;
and determining the estimated store time according to the moving speed corresponding to the estimated travel mode and the distance between the current position and the target store position.
Optionally, before determining the order of the pre-ordered items corresponding to the order data based on the estimated store time, the method further includes:
if the estimated store time is inconsistent with the set store-to-store time corresponding to the order data, sending store-to-store time correction inquiry information, wherein the store-to-store time correction inquiry information comprises the estimated store-to-store time;
and receiving shop time correction feedback information, and determining the production sequence of the pre-ordered food corresponding to the order data based on the estimated shop time when the shop arrival time correction feedback information is forward feedback information.
According to another aspect of the present application, there is provided an order processing apparatus including:
the order receiving module is used for receiving order data;
the store arrival time estimation module is used for receiving positioning information of the target user corresponding to the order data and determining estimated store arrival time of the target user according to the positioning information and the target store position corresponding to the order data;
and the manufacturing sequence determining module is used for determining the manufacturing sequence of the pre-ordered food corresponding to the order data based on the estimated store arrival time.
Optionally, the apparatus further comprises:
and before receiving the positioning information of the target user corresponding to the order data, determining an order task queue corresponding to the target store based on the set store-to-store time corresponding to the order data and the manufacturing time of the pre-ordered food, wherein the order task queue comprises manufacturing start time of each order food in the order corresponding to the target store.
Optionally, the manufacturing order determining module specifically includes:
a production time determination unit, configured to determine a production start time of the pre-ordered item based on the production time of the pre-ordered item and the estimated store arrival time;
a task queue updating unit, configured to update the order task queue based on the manufacturing start time of each order item in the order task queue and the manufacturing start time of the pre-ordered item;
and the task queue sending unit is used for sending the order task queue to a target store terminal so as to enable the target store terminal to carry out order task scheduling based on the order task queue.
Optionally, the manufacturing time determining unit specifically includes:
a meal loading time determining subunit, configured to determine, if the pre-ordered food items include at least two pre-ordered food items, a meal loading time corresponding to each pre-ordered food item based on the estimated store time and a food item attribute corresponding to each pre-ordered food item;
and the making time determining subunit is used for determining the making starting time of each pre-ordered food product based on the making time length of each pre-ordered food product and the food serving time.
Optionally, the store arrival time estimation module specifically includes:
the moving speed determining unit is used for acquiring the moving speed and the current position corresponding to the target user according to the positioning information;
and the first time pre-estimating unit is used for determining the pre-estimated store time according to the moving speed and the distance between the current position and the target store position.
Optionally, the order data includes a projected travel mode; the store arrival time estimation module specifically comprises:
a current position obtaining unit, configured to obtain a current position corresponding to the target user according to the positioning information;
and the second time pre-estimating unit is used for determining the pre-estimated store time according to the moving speed corresponding to the expected travel mode and the distance between the current position and the target store position.
Optionally, the apparatus further comprises:
an inquiry information sending module, configured to send to-store time correction inquiry information before determining a production sequence of a pre-ordered item corresponding to the order data based on the estimated store arrival time, if the estimated store arrival time is inconsistent with a set store arrival time corresponding to the order data, where the store arrival time correction inquiry information includes the estimated store arrival time;
the production time determining module is further configured to receive store time correction feedback information, and determine a production sequence of the pre-ordered food corresponding to the order data based on the estimated store time when the store time correction feedback information is forward feedback information.
According to yet another aspect of the present application, there is provided a storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described order processing method.
According to yet another aspect of the present application, there is provided a computer device comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, the processor implementing the order processing method when executing the program.
By means of the technical scheme, the order processing method and device, the storage medium and the computer equipment receive the order data, receive the positioning information of the user corresponding to the order data and pre-estimate the arrival time of the user according to the positioning information, so that the making sequence of the pre-ordered food corresponding to the order data is determined, and the accuracy and the reasonability of the making sequence of the food are improved. Compared with the mode of arranging the pre-ordered food products according to the set store-to-store time of the user in the prior art, the method and the device have the advantages that the store-to-store time of the user is estimated based on the positioning information of the user reported by the client, the food product making sequence is determined according to the estimated store-to-store time, the accuracy of the store-to-store time is improved, the arrangement of the store and the production scheduling of the store are facilitated, and the user can timely get on the food and guarantee the quality of the food products when arriving at the store.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic flowchart illustrating an order processing method according to an embodiment of the present application;
FIG. 2 is a flow chart illustrating another order processing method according to an embodiment of the present disclosure;
FIG. 3 is a flow chart illustrating another order processing method according to an embodiment of the present application;
FIG. 4 is a schematic diagram illustrating another order processing method provided by an embodiment of the present application;
fig. 5 is a schematic structural diagram illustrating an order processing apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram illustrating another order processing apparatus provided in the embodiment of the present application;
fig. 7 is a schematic structural diagram illustrating an order processing apparatus according to an embodiment of the present application;
fig. 8 shows a schematic structural diagram of an order processing apparatus according to an embodiment of the present application.
Detailed Description
The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
In this embodiment, another order processing method is further provided, as shown in fig. 1, the method includes:
step 201, receiving order data;
step 202, receiving positioning information corresponding to the order data, and determining estimated store time of the target user according to the positioning information and the target store position corresponding to the order data;
and step 203, determining the production sequence of the pre-ordered food corresponding to the order data based on the estimated store time.
The above embodiments may be applied to a server of an order platform, or an integrated server of the order platform and a merchant system, which is hereinafter referred to as a server. Firstly, after receiving order data of a predetermined order from a user terminal, the server also carries information which can be used for representing the position of a target store, for example, the server can carry a target store identifier, and the server can inquire the position of the target store through the target store identifier or directly carry the position of the target store; secondly, the server can also receive positioning information from the user terminal, estimate the arrival time of the user according to the positioning information and the target store position to obtain estimated arrival time, for example, determine the position of the user and the moving speed of the user based on the positioning information, and estimate the arrival time by combining the store position; finally, after the making time of the pre-ordered food is determined and the store time is estimated, the making starting time of the pre-ordered food can be determined according to the making starting time and the pre-ordered food, for example, the pre-ordered food is braised pork ribs, the making time corresponding to the braised pork ribs is 20 minutes, the store time is estimated to be 3 o 'clock 30 minutes in the afternoon, and then the making starting time of the braised pork ribs of the pre-ordered food can be determined to be 3 o' clock 10 minutes. The server can predict the arrival time of the user based on the positioning information of the front end (namely the user terminal) and the position of the store, so that the accuracy of the arrival time is improved, the arrangement of the store is facilitated based on the arrival time, the order making sequence is determined, and the user can timely get on the meal and the quality of the meal is guaranteed.
In addition, the pre-ordered item is determined through the pre-ordered item identifier carried by the order data, and the making duration of the pre-ordered item can be further obtained, wherein the making duration can be obtained based on the mapping relationship between various pre-ordered items and the making duration preset by a technician, or based on historical making data corresponding to the pre-ordered item. And furthermore, the preparation starting time of the food ordering product is determined by combining the estimated arrival time, so that the accuracy of the arrival time and the preparation starting time of the food ordering product is improved.
By applying the technical scheme of the embodiment, the order data are received, the positioning information of the user corresponding to the order data is received, and the arrival time of the user is estimated according to the positioning information, so that the making sequence of the pre-ordered food corresponding to the order data is determined, and the accuracy and the reasonability of the making sequence of the food are improved. Compared with the mode of arranging the pre-ordered food products according to the set store-to-store time of the user in the prior art, the method and the device have the advantages that the store-to-store time of the user is estimated based on the positioning information of the user reported by the client, the food product making sequence is determined according to the estimated store-to-store time, the accuracy of the store-to-store time is improved, the arrangement of the store and the production scheduling of the store are facilitated, and the user can timely get on the food and guarantee the quality of the food products when arriving at the store.
Further, as a refinement and an extension of the specific implementation of the above embodiment, in order to fully illustrate the specific implementation process of the embodiment, another order data processing method is provided, as shown in fig. 2, and the method includes:
step 301, receiving order data;
step 302, determining an order task queue corresponding to the target store based on the set store-to-store time corresponding to the order data and the production duration of the pre-ordered food, wherein the order task queue comprises the production start time of each order food in the order corresponding to the target store;
in the above embodiment, the order data sent by the user terminal may specifically include time that the user originally plans to the store, that is, set store-to-store time, before the server receives the positioning information of the user, all order tasks of the target store may be scheduled according to the set store-to-store time and the preparation duration of the pre-ordered items, that is, an order task queue corresponding to the target store is determined, the order task queue may include preparation start times of order items in all orders corresponding to the target store, and a kitchen behind the store may perform scheduling based on the order task queue.
Step 303, receiving positioning information corresponding to the order data, and determining estimated store time of the target user according to the positioning information and the target store position corresponding to the order data;
as an optional implementation manner of the embodiment of the present application, specifically, step 303 may include: acquiring the corresponding moving speed and the current position of the target user according to the positioning information; and determining the estimated store time according to the moving speed and the distance between the current position and the target store position.
In the embodiment, the moving speed of the target user and the current position of the target user can be determined according to the front-end positioning information, and then the estimated store arrival time is calculated according to the current distance between the target user and the target store and the moving speed, so that the store arrival time of the user can be estimated according to the real-time positioning information of the user, the estimation accuracy of the store arrival time is improved, and the more reasonable and accurate meal making starting time is further determined.
As an optional implementation manner of the embodiment of the present application, specifically, step 303 may include: acquiring a current position corresponding to a target user according to the positioning information; and determining the estimated store time according to the moving speed corresponding to the estimated travel mode and the distance between the current position and the target store position.
In the above embodiment, the order data submitted by the user may include an estimated travel mode input by the user, the distance between the target user and the target store is determined based on the current position of the target user analyzed from the positioning information, the estimated store arrival time is calculated in combination with the moving speed corresponding to the estimated travel mode, the store arrival time is estimated in combination with the moving speed of the estimated travel mode, and the accuracy of the estimated store arrival time is improved. For example, the estimated travel mode is a self-driving travel, after the current position of the user is acquired through the positioning information, the server can directly estimate the arrival time of the user according to the distance between the current position and the target store position and the preset moving speed corresponding to the self-driving travel mode, and also can query the road condition information between the current position of the user and the target store position after the current position of the user is acquired, determine the estimated moving speed of the self-driving travel mode by combining the road condition information, and further estimate the arrival time of the user.
Step 304, if the estimated store time is inconsistent with the set store-to-store time corresponding to the order data, sending store-to-store time correction inquiry information, wherein the store-to-store time correction inquiry information comprises the estimated store time;
step 305, receiving the store time correction feedback information, and determining the manufacturing start time of the food ordering product based on the manufacturing time of the food ordering product and the estimated store time when the store time correction feedback information is forward feedback information;
in the above-described embodiment, in a case where the order data includes the set-to-store time, if the estimated time-to-store by the server does not coincide with the set-to-store time, the correction query information of the time-to-store carrying the estimated time-to-store may be sent to the user terminal so that the user terminal may query the user based on the information, and the user terminal may return the correction feedback information of the time-to-store to the server based on the feedback of the user to the information. Further, if the arrival time correction feedback information is forward feedback information indicating that the user confirms the estimated arrival time, the manufacturing start time of the food item to be ordered is further determined based on the estimated arrival time and the manufacturing time period of the food item to be ordered.
As an optional implementation manner of the embodiment of the application, specifically, if the pre-ordered item includes at least two pre-ordered items, in the step 305, determining the manufacturing start time of the pre-ordered item based on the manufacturing time of the pre-ordered item and the estimated store time may be: determining the meal loading time corresponding to each pre-ordered food item based on the estimated store time and the food item attribute corresponding to each pre-ordered food item; and determining the manufacturing starting time of each pre-ordered item based on the manufacturing time length and the meal loading time of each pre-ordered item.
In the above embodiment, if the pre-ordered items include at least two pre-ordered items, the serving time of each pre-ordered item may be determined according to the item attribute information corresponding to each pre-ordered item, and specifically, the serving sequence corresponding to each item and the serving time interval between each item may be determined first according to the item attributes, so as to determine the serving time corresponding to each pre-ordered item, for example, the pre-ordered items include 3 pre-ordered items, which are pre-ordered items, regular items and dessert after meal respectively, the serving sequence may be determined as the pre-ordered item, the regular item and the predicted dessert, then the store arriving time may be used as the serving time of the pre-ordered item, then the serving time of the regular item is determined based on the predicted serving time corresponding to the pre-ordered item, and so on, the serving time of each item in the order is determined. And then respectively determining the making starting time of each meal item based on the meal loading time of each meal item so as to prevent that the making finishing time of part of meal items has great deviation with the actual meal loading time to influence the quality of the meal items because all meal items are made based on the estimated store time.
Step 306, updating the order task queue based on the manufacturing start time of each order food in the order task queue and the manufacturing start time of the pre-ordering food;
and 307, sending the order task queue to the target store terminal so that the target store terminal can schedule the order task based on the order task queue.
In the above embodiment, after the manufacturing start time of the pre-ordered item is determined, the order task queue may be updated according to the manufacturing start time of the pre-ordered item, so that the manufacturing start time of each order item in the order task queue is matched with the latest user to store time, accuracy of the order task queue is ensured, and the updated order task queue is sent to the target store terminal (step 307 is applicable to a case where the order platform is separated from the merchant system, and if the server is an integrated server of the order platform and the merchant system, step 307 is negligible).
It should be noted that, in any embodiment of the present application, the server receives the positioning information sent by the user terminal in real time, and continuously estimates the time when the user arrives at the store based on the positioning information, estimates the manufacturing start time of the food to be ordered, further updates the order task queue, and ensures that the manufacturing start time of the food is updated in time, so as to ensure the accuracy of the order task queue.
In the present embodiment, an order processing method is provided, as shown in fig. 3, the method includes:
step 101, responding to an order submitting instruction, and sending order data to a server;
the embodiment of the application is mainly applied to a user terminal, for example, a smart phone, a user can order in advance in the user terminal, after the user submits an order for ordering in advance, that is, after the user submits an order submitting instruction, in response to the order submitting instruction, order data corresponding to the order are sent to a server, the order data specifically at least include a pre-ordering item identifier, and the server can determine which food items ordered by the user are available according to the pre-ordering item identifier, so that a preset manufacturing time length of a corresponding food item is obtained or a historical manufacturing time length of the corresponding food item is counted from historical manufacturing data of the corresponding food item to be used as a manufacturing time length of the pre-ordering item, and the manufacturing time length of the pre-ordering item is used as one of bases for subsequently determining when to start to manufacture the pre-ordering item.
102, acquiring positioning information corresponding to a user terminal;
in the embodiment of the application, the time of arrival at the store of the user is estimated, so that when the preparation of the food product to be ordered is started is determined according to the estimated time of arrival at the store, and therefore after the user submits an order of the food product to be ordered, the time of arrival at the store of the user can be estimated according to the positioning information of the user by acquiring the positioning information corresponding to the user terminal, for example, the positioning information corresponding to the user terminal is acquired in real time through a positioning function module built in the user terminal, or the positioning information corresponding to the user terminal is acquired periodically, so that the acquisition of the positioning information is realized.
And 103, sending the positioning information to a server so that the server determines the estimated store arrival time of the target user according to the positioning information and the target store position corresponding to the order data, and determines the production sequence of the pre-ordered food corresponding to the order data based on the estimated store arrival time.
In the embodiment of the application, the user terminal may send the obtained positioning information to the server, and the server estimates the store arrival time of the user based on the positioning information, specifically, the server may determine the distance between the user and the store and the moving speed of the user according to the positioning information, so as to determine the estimated store arrival time, and further determine when the pre-ordered item starts to be made according to the estimated store arrival time and the making duration corresponding to the pre-ordered item in the order. The method for determining the estimated store arrival time of the user based on the positioning information of the user can be used for estimating the store arrival time of the user and further determining the pre-ordered food preparation starting time under the condition that the user forgets to set the store arrival time or corrects the set store arrival time submitted by the user when placing an order, aiming at the condition that the user forgets to modify or cannot modify the originally set store arrival time in advance or postpones to arrive at the store, the planning accuracy of the food preparation time is improved, the food preparation scheduling accuracy and rationality of kitchen behind the store are improved, timely food taking and food quality guarantee can be simultaneously guaranteed when the user arrives at the store, and user experience is improved.
By applying the technical scheme of the embodiment, in response to an order submitting instruction of a user, order data corresponding to the order submitted by the user is sent to the server, so that the server determines the manufacturing time of the corresponding pre-ordered item, further acquires the positioning information of the user and forwards the positioning information to the server, and therefore the server estimates the arrival time of the user according to the positioning information and determines the manufacturing starting time of the pre-ordered item by combining the manufacturing time of the pre-ordered item, and the accuracy and the reasonability of the manufacturing starting time are improved. Compared with the prior art, the method and the device have the advantages that the making starting time of the food ordering product is determined according to the set store arriving time of the user, the locating information of the user is obtained, the store arriving time of the user is estimated by the locating information of the front end, the making starting time of the food ordering product is determined according to the estimated store arriving time, the accuracy of the store arriving time and the accuracy of the making starting time of the food ordering product are improved, shop scheduling is arranged conveniently based on the making starting time of the food ordering product, and the user can timely get on the food and guarantee the quality of the food ordering product.
As an optional implementation manner of the embodiment of the present application, specifically, step 102 may include: the order data includes projected travel time; and if the current time reaches the expected travel time, acquiring the positioning information corresponding to the user terminal.
In the above embodiment, the order data submitted by the user may include the expected travel time, and when the expected travel time is reached, the positioning information of the user terminal starts to be acquired, the acquisition starts from the travel time of the user, and the positioning information before the user travels may not be acquired, so that the workload of the user terminal and the server is reduced, and the resource waste of the user terminal and the server is avoided.
In addition, if the user goes out in advance, the user can also actively issue a trip starting instruction, and the user terminal starts to acquire the positioning information corresponding to the user terminal in response to the trip starting instruction.
As an optional implementation manner of the embodiment of the present application, specifically, step 103 may include: judging whether the target user moves to the target store or not according to the positioning information and the position of the target store corresponding to the order data; and when the target user moves to the target store, outputting order fulfillment inquiry information, and after receiving positive feedback of the order fulfillment inquiry information, executing to send positioning information to the server.
In the above embodiment, whether the user is moving to the target store may be determined based on the positioning information and the location of the target store corresponding to the order, for example, when it is detected that the movement track of the user moves towards the target store within 3 minutes, it is determined that the target user moves towards the target store, at this time, order fulfillment query information may be output to query whether the user is ready to go to the target store for eating, for example, "do you are ready to go to store for eating," yes "may be selected if the user is ready to go to the target store for eating," yes "may be selected, and after the user terminal receives a positive feedback of the order fulfillment information input by the target user, the positive feedback is a signal for instructing the user to determine order fulfillment. Therefore, the data volume of the positioning information sent to the server is reduced, data transmission resources are saved, the calculation pressure of the server is relieved, and the safety of the positioning information of the user is improved to a certain extent.
As an optional implementation manner of the embodiment of the present application, specifically, step 103 may include: the order data comprises a predicted travel mode; and when determining that the target user travels according to the expected travel mode according to the positioning information, executing to send the positioning information to the server.
In the above embodiment, the order data submitted by the user may include a predicted travel mode, and then when it is determined that the target user has traveled according to the predicted travel mode based on the positioning information, the positioning information is started to be sent to the server, for example, if the predicted travel mode is subway riding, the position where the user arrives at the subway station is determined based on the positioning information, or it is determined that the moving speed of the user matches the operating speed of the subway based on the positioning information, and it may be determined that the user has traveled according to the predicted travel mode. In addition, after the user is judged to travel according to the expected travel mode, order fulfillment inquiry information can be output, and when positive feedback of the order fulfillment inquiry information is received, positioning information is sent to the server. Therefore, the data volume of the positioning information sent to the server is reduced, data transmission resources are saved, the calculation pressure of the server is relieved, and the safety of the positioning information of the user is improved to a certain extent.
As an optional implementation manner of the embodiment of the present application, specifically, after step 103, the method may further include:
step 104, receiving and outputting to-store time correction inquiry information, wherein the to-store time correction inquiry information comprises estimated store time;
step 105, according to the received feedback information of the query information for correcting the arrival time, transmitting the arrival time correction feedback information.
In the above embodiment, after the positioning information is sent to the server, the server may estimate the time to store of the user according to the positioning information, after the server determines that the estimated time to store is accurate, in order to ensure the accuracy of the estimated time to store, the server may send a time to store correction inquiry information carrying the estimated time to store to the user terminal, after the user terminal receives the information, the user terminal outputs the information to inquire whether the estimated time to store is accurate or whether the original set time to store is allowed to be corrected to the estimated time to store, further, when receiving the feedback information of the inquiry information, the feedback of the user to the inquiry information is sent to the server, when the feedback information of the user is a forward feedback, the time to store correction feedback information sent to the server is confirmation information of the estimated time to store, and when the feedback information of the user is a negative feedback, the arrival time correction feedback information sent to the server is rejection information of the estimated arrival time. By acquiring feedback of the store arrival time correction inquiry information and sending the store arrival time correction feedback information to the server, whether the estimated store arrival time is accurate or not is confirmed based on the feedback information of the user in an interactive mode of inquiring the user, and when the server generates errors in the estimation of the store arrival time, correction is performed based on the feedback information of the user, so that the accuracy of the estimated store arrival time is improved, the participation sense of the user is increased, and the user experience is improved.
Fig. 4 shows a schematic diagram of an order data processing method provided by an embodiment of the present application, as shown in fig. 4, in an optional specific implementation manner, a user may hold a smart phone, place an order based on merchant information in application software APP in the smart phone and a dish list of a merchant, after placing the order, the smart phone APP may obtain GPS positioning information of the user in real time, a server calculates estimated time of the user arriving at a store according to the received positioning information, updates the order list in combination with production time corresponding to dishes in the order, and further sends the order list updated in real time to a merchant system, and the merchant system arranges the dishes in the order of the user in the order list and then performs dish processing.
Further, as a specific implementation of the method in fig. 1, an embodiment of the present application provides an order processing apparatus, as shown in fig. 5, the apparatus includes:
an order receiving module 61 for receiving order data;
the store arrival time estimation module 62 is configured to receive positioning information of the target user corresponding to the order data, and determine estimated store arrival time of the target user according to the positioning information and a target store position corresponding to the order data;
and a production sequence determining module 63, configured to determine a production sequence of the pre-ordered food items corresponding to the order data based on the estimated store time.
In some application scenarios, as shown in fig. 7, optionally, the apparatus further includes:
and a task queue generating module 64, configured to determine, before receiving the positioning information of the target user corresponding to the order data, an order task queue corresponding to the target store based on the set store-to-store time corresponding to the order data and the manufacturing time of the pre-ordered food, where the order task queue includes manufacturing start time of each order food in the order corresponding to the target store.
In some application scenarios, as shown in fig. 7, optionally, the manufacturing order determining module 63 specifically includes:
a production time determination unit 631 configured to determine a production start time of the pre-ordered item based on the production time of the pre-ordered item and the estimated store time;
a task queue updating unit 632, configured to update the order task queue based on the manufacturing start time of each order food in the order task queue and the manufacturing start time of the pre-ordered food;
a task queue sending unit 633, configured to send the order task queue to the target store terminal, so that the target store terminal performs order task scheduling based on the order task queue.
In some application scenarios, optionally, the production time determining unit 631 specifically includes:
a meal loading time determining subunit 6311, configured to determine, if at least two pre-ordered meal items are included, a meal loading time corresponding to each pre-ordered meal item based on the estimated store time and the meal item attribute corresponding to each pre-ordered meal item;
the making time determining subunit 6312 is configured to determine a making start time of each pre-ordered item based on the making time length and the serving time of each pre-ordered item.
In some application scenarios, as shown in fig. 7, optionally, the store arrival time estimation module 62 specifically includes:
a moving speed determining unit 621, configured to obtain a moving speed and a current position corresponding to the target user according to the positioning information;
a first time estimating unit 622, configured to determine an estimated store time according to the moving speed and the distance between the current location and the target store location.
In some application scenarios, as shown in fig. 7, optionally, the order data includes a projected travel mode; the store arrival time estimation module 62 specifically includes:
a current position obtaining unit 623, configured to obtain a current position corresponding to the target user according to the positioning information;
the second time estimating unit 624 is configured to determine the estimated store time according to the moving speed corresponding to the expected travel mode and the distance between the current location and the target store location.
In some application scenarios, as shown in fig. 7, optionally, the apparatus further includes:
the query information sending module 65 is configured to send query information for correcting the store arrival time before determining the production sequence of the pre-ordered food items corresponding to the order data based on the estimated store arrival time, if the estimated store arrival time is inconsistent with the set store arrival time corresponding to the order data, where the query information for correcting the store arrival time includes the estimated store arrival time;
the production time determining module 66 is further configured to receive the store time correction feedback information, and determine a production sequence of the food to be ordered corresponding to the order data based on the estimated store time when the store time correction feedback information is the forward feedback information.
Further, as a specific implementation of the method in fig. 2, an embodiment of the present application provides an order processing apparatus, as shown in fig. 7, the apparatus includes:
an order sending module 51, configured to send order data to the server in response to the order submitting instruction;
a positioning information obtaining module 52, configured to obtain positioning information corresponding to the user terminal;
and the positioning information sending module 53 is configured to send positioning information to the server, so that the server determines the estimated store arrival time of the target user according to the positioning information and the target store position corresponding to the order data, and determines the production sequence of the pre-ordered items corresponding to the order data based on the estimated store arrival time.
In some application scenarios, as shown in fig. 8, optionally, the apparatus further includes:
the fulfillment judgment module 54 is configured to judge whether the target user moves to the target store according to the positioning information and the target store position corresponding to the order data before sending the positioning information to the server;
and the fulfillment query module 55 is configured to output order fulfillment query information when the target user moves to the target store, and perform sending of the positioning information to the server after receiving forward feedback of the order fulfillment query information.
In some application scenarios, as shown in fig. 8, optionally, the order data includes projected travel time;
the positioning information obtaining module 52 is specifically configured to obtain the positioning information corresponding to the user terminal if the current time reaches the expected travel time.
In some application scenarios, as shown in fig. 8, in particular, the order data includes a projected travel pattern;
and the positioning information sending module 53 is specifically configured to execute sending of positioning information to the server when it is determined that the target user travels according to the expected travel mode according to the positioning information.
In some application scenarios, as shown in fig. 8, optionally, the apparatus further includes:
a query information receiving module 56, configured to receive and output the store time correction query information after sending the positioning information to the server, where the store time correction query information includes an estimated store time;
and a correction feedback sending module 57, configured to send the store-arrival time correction feedback information according to the received feedback information for the store-arrival time correction inquiry information.
It should be noted that other corresponding descriptions of the functional units involved in the order processing apparatus provided in the embodiment of the present application may refer to the corresponding descriptions in the methods in fig. 1 to fig. 4, and are not described again here.
Based on the above methods shown in fig. 1 to 4, correspondingly, an embodiment of the present application further provides a storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the order processing method shown in fig. 1 to 4.
Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.), and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the implementation scenarios of the present application.
Based on the method shown in fig. 1 to 4 and the virtual device embodiment shown in fig. 5 to 8, in order to achieve the above object, the present application further provides a computer device, which may specifically be a personal computer, a server, a network device, and the like, where the computer device includes a storage medium and a processor; a storage medium for storing a computer program; a processor for executing a computer program to implement the order processing method as described above with reference to fig. 1 to 4.
Optionally, the computer device may also include a user interface, a network interface, a camera, Radio Frequency (RF) circuitry, sensors, audio circuitry, a WI-FI module, and so forth. The user interface may include a Display screen (Display), an input unit such as a keypad (Keyboard), etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (e.g., a bluetooth interface, WI-FI interface), etc.
It will be appreciated by those skilled in the art that the present embodiment provides a computer device architecture that is not limiting of the computer device, and that may include more or fewer components, or some components in combination, or a different arrangement of components.
The storage medium may further include an operating system and a network communication module. An operating system is a program that manages and maintains the hardware and software resources of a computer device, supporting the operation of information handling programs, as well as other software and/or programs. The network communication module is used for realizing communication among components in the storage medium and other hardware and software in the entity device.
Through the description of the above embodiment, those skilled in the art can clearly understand that the present application can be implemented by software plus a necessary universal hardware platform, and also can receive order data and location information of a user corresponding to the order data through hardware, and estimate a store arrival time of the user according to the location information, thereby determining a production sequence of a pre-ordered food corresponding to the order data, so as to improve accuracy and rationality of the production sequence of the food. Compared with the mode of arranging the pre-ordered food products according to the set store-to-store time of the user in the prior art, the method and the device have the advantages that the store-to-store time of the user is estimated based on the positioning information of the user reported by the client, the food product making sequence is determined according to the estimated store-to-store time, the accuracy of the store-to-store time is improved, the arrangement of the store and the production scheduling of the store are facilitated, and the user can timely get on the food and guarantee the quality of the food products when arriving at the store.
Those skilled in the art will appreciate that the figures are merely schematic representations of one preferred implementation scenario and that the blocks or flow diagrams in the figures are not necessarily required to practice the present application. Those skilled in the art will appreciate that the modules in the devices in the implementation scenario may be distributed in the devices in the implementation scenario according to the description of the implementation scenario, or may be located in one or more devices different from the present implementation scenario with corresponding changes. The modules of the implementation scenario may be combined into one module, or may be further split into a plurality of sub-modules.
The above application serial numbers are for description purposes only and do not represent the superiority or inferiority of the implementation scenarios. The above disclosure is only a few specific implementation scenarios of the present application, but the present application is not limited thereto, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present application.

Claims (9)

1. An order processing method, comprising:
receiving order data;
receiving positioning information of a target user corresponding to the order data, and determining estimated store arrival time of the target user according to the positioning information and a target store position corresponding to the order data, wherein the positioning information is sent by a client based on forward feedback of order fulfillment inquiry information when the client judges that the target user moves to the target store according to the positioning information and the target store position corresponding to the order data;
if the estimated store time is inconsistent with the set store-to-store time corresponding to the order data, sending store-to-store time correction inquiry information, wherein the store-to-store time correction inquiry information comprises the estimated store-to-store time;
and receiving shop time correction feedback information, and determining the production sequence of the pre-ordered food corresponding to the order data based on the estimated shop time when the shop arrival time correction feedback information is forward feedback information.
2. The method of claim 1, wherein prior to receiving location information of a target user corresponding to the order data, the method further comprises:
and determining an order task queue corresponding to the target store based on the set store-to-store time corresponding to the order data and the manufacturing time of the pre-ordered food, wherein the order task queue comprises the manufacturing starting time of each order food in the order corresponding to the target store.
3. The method according to claim 2, wherein the determining a production order of the pre-ordered items corresponding to the order data based on the estimated store arrival time specifically comprises:
determining the manufacturing starting time of the pre-ordered food based on the manufacturing time of the pre-ordered food and the estimated store arrival time;
updating the order task queue based on the manufacturing start time of each order food in the order task queue and the manufacturing start time of the pre-ordering food;
and sending the order task queue to a target store terminal so that the target store terminal can carry out order task scheduling based on the order task queue.
4. The method according to claim 3, wherein determining the production start time of the pre-ordered item based on the production duration of the pre-ordered item and the estimated store time specifically comprises:
if the number of the pre-ordered food items is at least two, determining the food serving time corresponding to each pre-ordered food item based on the estimated store time and the food item attribute corresponding to each pre-ordered food item;
and determining the manufacturing starting time of each pre-ordered food item based on the manufacturing time of each pre-ordered food item and the food serving time.
5. The method according to claim 1, wherein the determining the estimated store arrival time of the target user according to the positioning information and the target store location corresponding to the order data specifically comprises:
acquiring the moving speed and the current position corresponding to the target user according to the positioning information;
determining the estimated store time according to the moving speed and the distance between the current position and the target store position.
6. The method of claim 1, wherein the order data includes projected travel patterns; the determining the estimated store time of the target user according to the positioning information and the target store position corresponding to the order data specifically includes:
acquiring a current position corresponding to the target user according to the positioning information;
and determining the estimated store time according to the moving speed corresponding to the estimated travel mode and the distance between the current position and the target store position.
7. An order processing apparatus, comprising:
the order receiving module is used for receiving order data;
the arrival time estimating module is used for receiving positioning information of a target user corresponding to the order data and determining estimated arrival time of the target user according to the positioning information and a target store position corresponding to the order data, wherein the positioning information is sent by a client based on forward feedback of order fulfillment inquiry information when the client judges that the target user moves to the target store according to the positioning information and the target store position corresponding to the order data;
the inquiry information sending module is used for sending to-store time correction inquiry information if the estimated store time is inconsistent with the set store-to-store time corresponding to the order data, wherein the store-to-store time correction inquiry information comprises the estimated store-to-store time;
and the manufacturing sequence determining module is used for receiving the store time correction feedback information and determining the manufacturing sequence of the pre-ordered food corresponding to the order data based on the estimated store time when the store time correction feedback information is the forward feedback information.
8. A storage medium having stored thereon a computer program, characterized in that the computer program, when being executed by a processor, implements the order processing method of any of claims 1 to 6.
9. A computer device comprising a storage medium, a processor and a computer program stored on the storage medium and executable on the processor, characterized in that the processor implements the order processing method of any of claims 1 to 6 when executing the computer program.
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