CN109829711B - Queuing pre-ordering processing method and system - Google Patents

Queuing pre-ordering processing method and system Download PDF

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CN109829711B
CN109829711B CN201910086059.XA CN201910086059A CN109829711B CN 109829711 B CN109829711 B CN 109829711B CN 201910086059 A CN201910086059 A CN 201910086059A CN 109829711 B CN109829711 B CN 109829711B
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information
client
ordering
allelic
distributed
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CN109829711A (en
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乔浩
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Koubei Shanghai Information Technology Co Ltd
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Koubei Shanghai Information Technology Co Ltd
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Priority to PCT/CN2020/073236 priority patent/WO2020156326A1/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/08—Payment architectures
    • G06Q20/20—Point-of-sale [POS] network systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/22—Payment schemes or models
    • G06Q20/28—Pre-payment schemes, e.g. "pay before"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/30—Payment architectures, schemes or protocols characterised by the use of specific devices or networks
    • G06Q20/32—Payment architectures, schemes or protocols characterised by the use of specific devices or networks using wireless devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/38—Payment protocols; Details thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/12—Hotels or restaurants
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C11/00—Arrangements, systems or apparatus for checking, e.g. the occurrence of a condition, not provided for elsewhere

Abstract

The invention discloses a queuing pre-ordering processing method and a system, wherein the method comprises the following steps: the marketing server side calculates preferential strength information according to the allelic information corresponding to the client side, so that when the client side carries out pre-ordering operation, the sales side calculates pre-payment amount based on the preferential strength information; the method comprises the steps that a sales end determines information of tables to be distributed according to the occupation states of the tables of stores and table distribution requests sent by a queuing machine, and sends the information of the tables to be distributed to the queuing machine; the queuing machine generates a dining reminding notification according to the table information to be distributed, and sends the dining reminding notification to the client to remind a user of dining; and the selling end completes ordering operation according to the confirmed ordering information corresponding to the table information to be distributed. According to the technical scheme, ordering preference can be intelligently provided for the allelic dinning users according to the allelic information, the allelic dinning users can be saved, loss of passenger flow of the dining shops due to the allelic dinning is avoided, the catering service quality is improved, and the user experience is improved.

Description

Queuing pre-ordering processing method and system
Technical Field
The invention relates to the technical field of electronic information, in particular to a queuing pre-ordering processing method and system.
Background
Along with the influence of wisdom dining room technique to the food and beverage trade, more and more food and beverage shops begin to adopt intelligent food and beverage service equipment such as machine of lining up or APP etc. of lining up to promote food and beverage service efficiency, reduce food and beverage shop operation cost. For example, the chinese patent application with application publication number CN104463721A provides a queuing method based on an intelligent mobile terminal, the method queues up and fetches numbers through an intelligent mobile terminal APP, number information is sent to a merchant background server, and when a waiting number set by the merchant background server is a queuing number or is close to the queuing number, the mobile terminal background server pushes reminding information to the intelligent mobile terminal.
However, for the dining shops with people suffering from fire and explosion, although the queuing machine and the like can improve the dining service efficiency to a certain extent, if a user wants to have a meal in such dining shops, the user needs to wait for a long time, the user equipotential experience is poor, and in addition, many users abandon the equipotential because the equipotential time is too long, so that the dining shops run away, and the economic loss of the dining shops is caused.
Disclosure of Invention
In view of the above, the present invention has been developed to provide a method and system for queue pre-order processing that overcomes, or at least partially solves, the above-identified problems.
According to one aspect of the invention, a queuing pre-ordering processing method is provided, and the method comprises the following steps:
the marketing server side calculates preferential strength information according to the allelic information corresponding to the client side, so that when the client side carries out pre-ordering operation, the sales side calculates pre-payment amount based on the preferential strength information;
the method comprises the steps that a sales end determines information of tables to be distributed according to the occupation states of the tables of stores and table distribution requests sent by a queuing machine, and sends the information of the tables to be distributed to the queuing machine;
the queuing machine generates a dining reminding notification according to the table information to be distributed, and sends the dining reminding notification to the client to remind a user of dining;
and the selling end completes ordering operation according to the confirmed ordering information corresponding to the table information to be distributed.
Further, the allelic information includes: the preorders are equal in number, expected equal in time length and the number of diners; the marketing service end calculates the preferential strength information according to the allelic information corresponding to the client, and further comprises the following steps:
the marketing server calculates to obtain a predicted consumption amount according to the number of diners and the historical per capita consumption amount;
performing operation processing on the preorder allelic quantity, the estimated allelic duration and the estimated consumption amount by using a preset algorithm to obtain a preferential parameter;
and matching the preferential parameters with a preset condition threshold to obtain matched preferential strength information.
Further, before the marketing service end calculates the offer strength information according to the allelic information corresponding to the client, the method further comprises the following steps: the queuing machine determines the allelic information corresponding to the client according to a queuing request sent by the client, and generates pre-ordering information of the store according to the allelic information corresponding to the client and the link address of the pre-ordering page of the store, so that the client can perform pre-ordering operation according to the pre-ordering information of the store;
the marketing service side calculates the preferential strength information according to the allelic information corresponding to the client side, and specifically comprises the following steps: when the client performs the pre-ordering operation according to the pre-ordering information of the shop, the marketing service side acquires the allelic information corresponding to the client according to the pre-ordering information of the shop, and calculates the preferential strength information according to the allelic information corresponding to the client.
Further, before the marketing service end calculates the offer strength information according to the allelic information corresponding to the client, the method further comprises the following steps: the queuing machine determines the allelic information corresponding to the client according to the queuing request sent by the client, and sends the allelic information corresponding to the client to the marketing server;
after the marketing service end calculates the preferential strength information according to the allelic information corresponding to the client, the method further comprises the following steps: the marketing service side sends the preferential strength information to the queuing machine; and the queuing machine generates the pre-ordering information of the shop according to the preferential strength information and the link address of the pre-ordering page of the shop, so that the client can perform pre-ordering operation according to the pre-ordering information of the shop.
Further, before the sales end determines the information of the table to be distributed according to the occupation state of the table of the shop and the table distribution request sent by the queuing machine, the method further comprises the following steps:
and the queuing machine sends a table distribution request carrying the number of dinning people corresponding to the client to the sales end according to the equipotential sequence of the client.
Further, the step that the sales end determines the information of the table to be distributed according to the occupation state of the table of the shop and the table distribution request sent by the queuing machine, and the step that the information of the table to be distributed is sent to the queuing machine further comprises the following steps:
the sales end searches for the information of the idle table according to the occupation state of the shop table;
matching the number of dinning people in the table allocation request with the number of allowed dinning people corresponding to the idle table information to obtain matched idle table information;
and determining the information of the table to be distributed according to the matched idle table information, and sending the information of the table to be distributed to the queuing machine.
Further, the queuing machine generating the dining reminding notification according to the table information to be distributed further comprises:
and the queuing machine highlights the table position corresponding to the table information to be distributed in the shop table distribution image and generates a dining reminding notice.
Further, before the sales end completes ordering operation according to the confirmed ordering information corresponding to the table information to be distributed, the method further comprises the following steps:
the client scans the table two-dimensional code corresponding to the table information to be distributed, orders are placed and confirmed according to the pre-ordered order information corresponding to the client, confirmed order placing information corresponding to the table information to be distributed is generated, and the confirmed order placing information is sent to the sales end.
Further, after the queuing machine generates a dining reminding notification according to the table information to be distributed and sends the dining reminding notification to the client to remind the client of dining, the method further comprises the following steps:
the sales end judges whether order placing confirmation information corresponding to the table information to be distributed is received within preset time after the table information to be distributed is sent; if not, sending a table release notice to the client, and returning the prepayment amount paid by the client.
Further, the selling end completes the ordering operation according to the confirmed ordering information corresponding to the table information to be distributed, and the ordering operation further comprises the following steps:
and the sales end sends the pre-ordering order information corresponding to the client to the kitchen end according to the confirmed ordering information corresponding to the table information to be distributed for the kitchen end to process.
According to another aspect of the present invention, there is provided a queuing pre-order processing system, comprising: the system comprises a client, a marketing server, a sales end and a queuing machine; wherein the content of the first and second substances,
the marketing service side is suitable for: calculating preferential strength information according to the allelic information corresponding to the client, so that when the client performs pre-ordering operation, the seller calculates pre-payment amount based on the preferential strength information;
the sales end is adapted to: determining information of the tables to be distributed according to the occupied states of the tables of the stores and the table distribution requests sent by the queuing machine, and sending the information of the tables to be distributed to the queuing machine;
the queuing machine is adapted to: generating a dining reminding notification according to the table information to be distributed, and sending the dining reminding notification to the client to remind the client of dining;
the point-of-sale is further adapted to: and finishing the ordering operation according to the confirmed ordering information corresponding to the table information to be distributed.
Further, the allelic information includes: the preorders are equal in number, expected equal in time length and the number of diners; the marketing server is further adapted to:
calculating to obtain a predicted consumption amount according to the number of diners and the average consumption amount of historical people;
performing operation processing on the preorder allelic quantity, the estimated allelic duration and the estimated consumption amount by using a preset algorithm to obtain a preferential parameter;
and matching the preferential parameters with a preset condition threshold to obtain matched preferential strength information.
Further, the queuing machine is further adapted to: according to a queuing request sent by a client, determining the allelic information corresponding to the client, and according to the allelic information corresponding to the client and a link address of a pre-ordering page of a shop, generating pre-ordering information of the shop;
the client is further adapted to: carrying out pre-ordering operation according to the pre-ordering information of the shop;
the marketing server is further adapted to: when the client performs pre-ordering operation according to the pre-ordering information of the shop, the allelic information corresponding to the client is obtained according to the pre-ordering information of the shop, and the preferential strength information is calculated according to the allelic information corresponding to the client.
Further, the queuing machine is further adapted to: determining the allelic information corresponding to the client according to the queuing request sent by the client, and sending the allelic information corresponding to the client to the marketing server;
the marketing server is further adapted to: sending the preferential strength information to a queuing machine;
the queuing machine is further adapted to: and generating the pre-ordering information of the shop according to the preferential strength information and the link address of the pre-ordering page of the shop, so that the client can perform pre-ordering operation according to the pre-ordering information of the shop.
Further, the queuing machine is further adapted to: and sending a table distribution request carrying the number of dinning people corresponding to the client to the sales end according to the allelic sequence of the client.
Further, the point-of-sale is further adapted to:
searching for free table information according to the occupation state of the shop table;
matching the number of dinning people in the table allocation request with the number of allowed dinning people corresponding to the idle table information to obtain matched idle table information;
and determining the information of the table to be distributed according to the matched idle table information, and sending the information of the table to be distributed to the queuing machine.
Further, the queuing machine is further adapted to: and highlighting the table positions corresponding to the table information to be distributed in the shop table distribution image to generate a dining reminding notice.
Further, the client is further adapted to: scanning the table two-dimensional code corresponding to the table information to be distributed, placing order confirmation is carried out on the pre-ordered order information corresponding to the client side, confirmed order placing information corresponding to the table information to be distributed is generated, and the confirmed order placing information is sent to the selling end.
Further, the point-of-sale is further adapted to: judging whether order placing confirmation information corresponding to the table information to be distributed is received within preset time after the table information to be distributed is sent; if not, sending a table release notice to the client, and returning the prepayment amount paid by the client.
Further, the point-of-sale is further adapted to: and sending the pre-ordering order information corresponding to the client to the kitchen end according to the confirmed ordering information corresponding to the table information to be distributed for the kitchen end to process.
According to yet another aspect of the present invention, there is provided a computing device comprising: the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the queuing pre-ordering processing method.
According to still another aspect of the present invention, a computer storage medium is provided, in which at least one executable instruction is stored, and the executable instruction causes a processor to execute operations corresponding to the queued pre-order processing method.
According to the technical scheme provided by the invention, the preferential strength information can be intelligently calculated according to the allelic information corresponding to the client, the ordering preference is provided for the allelic diner, the allelic experience of the user is promoted, the allelic diner is saved, and the loss of passenger flow of the catering shop due to allelic diner is avoided; and the tables can be intelligently distributed according to the occupied states of the tables of the stores and the table distribution requests, and the dining reminding notification is sent to the client, so that the dining users at the client side can conveniently find the corresponding tables to have meals according to the dining reminding notification, and the dining stores do not need to specially arrange service personnel to distribute the tables and guide routes for the dining users, thereby not only effectively saving the labor cost input by the dining stores, but also enabling the dining users to conveniently go to have meals, improving the quality of dining services, being beneficial to improving the experience of users, and optimizing the pre-ordering processing mode of queuing.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 shows a schematic flow diagram of a method of queued pre-order processing according to one embodiment of the present invention;
FIG. 2 is a schematic flow diagram illustrating a method of queued pre-order processing according to another embodiment of the present invention;
FIG. 3 illustrates a block diagram of a queued pre-order processing system, according to an embodiment of the present invention;
FIG. 4 shows a schematic structural diagram of a computing device according to an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Fig. 1 is a flow chart illustrating a method for queuing pre-order according to an embodiment of the invention, as shown in fig. 1, the method includes the following steps:
and S100, the marketing service side calculates preferential strength information according to the allelic information corresponding to the client side, so that when the client side carries out pre-ordering operation, the sales side calculates the pre-payment amount based on the preferential strength information.
The client can be a mobile phone of a dining user and other terminal equipment. When a dining user wants to go to a certain dining shop for dining and the dining shop does not have a free table at present and needs the dining user to wait, the dining user can send a queuing request to the queuing machine through the client. Specifically, the queuing machine displays queuing entry information in the form of image identification codes such as two-dimensional codes or bar codes, the client scans the image identification codes such as the two-dimensional codes, displays a queuing page, acquires dining information such as a mobile phone number of a dining user and the number of people having a dinner, which is input by the dining user on the queuing page, generates a queuing request according to the dining information, and sends the queuing request to the queuing machine. And the queuing machine receives a queuing request sent by the client and determines the allelic information corresponding to the client according to the queuing request sent by the client.
Wherein, the allelic information may include: the number of equipotential, the number of preorders, the estimated length of equipotential, the number of diners, etc. The pre-order allelic number refers to the total number of allelic numbers of other clients that have not yet been allocated to table stations of the same type after waiting for the table station of the client, and the type of the table station may be determined by the number of allowed dining people, dining environment level, etc. corresponding to the table station, which is not limited herein. The expected allelic duration can be obtained by analyzing and calculating by the queuing machine according to the historical allelic information and the preamble allelic quantity.
In order to better reserve the dining users for leaving the equipotentials and reduce the situation that the dining users give up the equipotentials midway, the marketing server may calculate the coupon information according to the allelic information corresponding to the client, where the coupon information may specifically be information in the form of a discount coupon, a full discount coupon, and the like, for example, a discount coupon of 8 folds, a full discount coupon of 300 minus 40, and the like. And the expected longer the equipotential time and the more the number of dining people, the greater the preferential strength corresponding to the preferential strength information. When the client side carries out the pre-ordering operation, the sales end can calculate the pre-payment amount based on the preferential strength information, so that the dining user can enjoy the preferential. The selling end may be a pos (point of sale) end of a restaurant store or other terminal equipment.
For example, according to the pre-ordering order information corresponding to the client, the receivable amount corresponding to the pre-ordering order information is 500 yuan, and if the discount strength information is an 8-fold discount coupon, the prepaid amount calculated by the seller based on the discount strength information is 400 yuan. For payment of the prepaid amount, the client may complete payment operation in the process of ordering the food in advance, or may complete payment operation in the process of confirming ordering, or may complete payment operation after completing dining, and those skilled in the art may perform specific setting according to actual needs, which is not limited herein.
And S101, the sales end determines the information of the table to be distributed according to the occupation state of the table of the shop and the table distribution request sent by the queuing machine, and sends the information of the table to be distributed to the queuing machine.
When the equipotential serial number of the client is about to arrive, the queuing machine sends a table distribution request carrying the number of dining people corresponding to the client to the sales end, the sales end determines the information of the table to be distributed for the client according to the current occupied state of the table of the restaurant and the table distribution request sent by the queuing machine, and sends the information of the table to be distributed to the queuing machine so that the queuing machine can inform a dining user at the client side of dining. The table occupation states of the shops refer to the occupation states of all tables in the whole catering shop, and the occupation states specifically comprise free states and occupied states; the table information to be allocated may be information such as a table number of the table to be allocated. Specifically, the sales end can search for the free table information according to the occupation state of the shop table, and then determine the table information to be distributed according to the free table information.
And step S102, the queuing machine generates a dining reminding notice according to the table information to be distributed, and sends the dining reminding notice to the client to remind the client of dining.
The queuing machine receives the information of the table to be distributed sent by the sales end, and then generates a dining reminding notification according to the information of the table to be distributed, wherein the dining reminding notification can comprise information such as the number, the position and the guide route of the table to be distributed. After the dining reminding notification is generated, the queuing machine sends the dining reminding notification to the client to remind a user of dining, the dining user at the client side can conveniently find the corresponding table to have dinner according to the dining reminding notification, the service personnel are not required to be specially arranged in a dining shop to distribute the table and guide a route for the dining user, the labor cost input by the dining shop is effectively saved, the dining user can conveniently go to the dining, the dining service quality is improved, and the improvement of the user experience is facilitated.
And step S103, the sales end completes ordering operation according to the confirmed ordering information corresponding to the table information to be distributed.
In order to enable a dining user to obtain good dining experience and avoid the situation that the dining user is not allocated with a table and the kitchen has finished making dishes, after the client finishes the pre-ordering operation, the sales end stores the pre-ordering order information corresponding to the client, the pre-ordering order information is not directly sent to the kitchen end, and after the sales end acquires the confirmation ordering information corresponding to the table information to be allocated, the sales end finishes the ordering operation according to the confirmation ordering information corresponding to the table information to be allocated.
The queuing pre-ordering processing method provided by the embodiment can intelligently calculate the preferential strength information according to the allelic information corresponding to the client, provides ordering preference for the allelic dinning users, improves the allelic experience of the users, is beneficial to saving the allelic dinning users, and avoids the loss of passenger flow of the dining shop due to the allelic state; and the tables can be intelligently distributed according to the occupied states of the tables of the stores and the table distribution requests, and the dining reminding notification is sent to the client, so that the dining users at the client side can conveniently find the corresponding tables to have meals according to the dining reminding notification, and the dining stores do not need to specially arrange service personnel to distribute the tables and guide routes for the dining users, thereby not only effectively saving the labor cost input by the dining stores, but also enabling the dining users to conveniently go to have meals, improving the quality of dining services, being beneficial to improving the experience of users, and optimizing the pre-ordering processing mode of queuing.
Fig. 2 is a flow chart illustrating a method for queuing pre-order food according to another embodiment of the invention, as shown in fig. 2, the method comprises the following steps:
and step S200, the queuing machine determines the allelic information corresponding to the client according to the queuing request sent by the client, and generates the pre-ordering information of the shop according to the allelic information corresponding to the client and the link address of the pre-ordering page of the shop.
When a dining user needs to wait in a certain dining shop, the dining user can send a queuing request to the queuing machine through the client, and the queuing request can carry dining information such as a mobile phone number of the dining user, the number of people having a dinner and the like. In the specific application, the queuing machine displays the queuing two-dimensional code, the client scans the queuing two-dimensional code, displays a queuing page returned by the queuing machine, acquires the dining information input by the dining user in the queuing page, generates a queuing request according to the dining information, and sends the queuing request to the queuing machine. The queuing machine receives a queuing request sent by the client, determines the allelic information corresponding to the client according to the queuing request sent by the client, and then generates the pre-ordering information of the shop according to the allelic information corresponding to the client and the link address of the pre-ordering page of the shop, so that the client can perform pre-ordering operation according to the pre-ordering information of the shop.
Specifically, the store pre-ordering information may be in the form of an image identifier, such as a pre-ordering two-dimensional code or a pre-ordering bar code, and the store pre-ordering information includes the allelic information corresponding to the client and the link address of the store pre-ordering page. Taking the pre-ordering information of the shop as the pre-ordering two-dimensional code as an example, the client scans the pre-ordering two-dimensional code, the seller returns a pre-ordering page of the shop to the client, and the client displays the pre-ordering page of the shop, so that a dining user at the client side can select a desired dish in the pre-ordering page of the shop to order the dish in advance.
Step S201, when the client performs the pre-ordering operation according to the pre-ordering information of the shop, the marketing service side acquires the allelic information corresponding to the client according to the pre-ordering information of the shop, and calculates the preferential strength information according to the allelic information corresponding to the client.
Taking the shop ordering information as the ordering two-dimensional code as an example, after the client scans the ordering two-dimensional code, the marketing server can obtain the allelic information corresponding to the client according to the ordering two-dimensional code, calculate the preferential strength information according to the allelic information corresponding to the client, and send the calculated preferential strength information to the seller, so that the seller can calculate the prepaid amount based on the preferential strength information when the client performs the ordering operation.
Wherein, the allelic information may include: the number of equipotential, the number of preorders, the estimated length of equipotential, the number of diners, etc. The marketing service end can calculate to obtain the estimated consumption amount according to the number of the diners and the historical per-capita consumption amount in the allelic information, and the historical per-capita consumption amount can be calculated in advance according to the historical diner consumption condition corresponding to the catering shop. In order to determine the preferential strength information, a preset algorithm and a preset condition threshold value can be preset, the marketing server performs operation processing on the preorder allelic quantity and the estimated allelic duration in the position information and the estimated consumption amount obtained through calculation by using the preset algorithm to obtain preferential parameters, and then the preferential parameters are matched with the preset condition threshold value to obtain matched preferential strength information. The preset algorithm and the preset condition threshold may be set by those skilled in the art according to actual needs, and are not specifically limited herein. The preferential strength information can be information in the forms of discount coupons, full discount coupons and the like, wherein the more the preorders are, the longer the expected allelic duration is, the more the expected consumption amount is, and the greater the preferential strength corresponding to the preferential strength information is.
Assuming that the discount parameter is between 1 and 10 according to the preset condition threshold, the discount parameter corresponds to first discount strength information, such as a discount coupon of 9 discount; when the offer parameter is between 11 and 20, corresponding to second offer strength information, such as a discount coupon of 7; when the offer parameter is between 21 and 30, it corresponds to the third preference information, such as a discount coupon of 5. If the marketing service end utilizes a preset algorithm to perform operation processing on the preorder allelic quantity, the expected allelic duration and the expected consumption amount in the bit information, and the obtained discount parameter is 15, matching the discount parameter with a preset condition threshold value to obtain second discount strength information corresponding to the discount parameter, namely the second discount strength information is matched discount strength information, and taking the second discount strength information as the determined discount strength information. When the client side carries out the pre-ordering operation, the sales end can calculate the pre-payment amount based on the preferential strength information, so that the dining user can enjoy the preferential. For payment of the prepaid amount, the client may complete the payment operation in the process of ordering the food in advance, or may complete the payment operation in the process of confirming ordering, or may complete the payment operation after completing the meal, which is not limited herein.
Step S202, the queuing machine sends a table distribution request carrying the number of dinning people corresponding to the client to the sales end according to the equipotential sequence of the client.
The equipotential sequence is determined according to the arrangement sequence of the equipotential sequence numbers of the clients, when the equipotential sequence numbers of the clients are about to arrive, the queuing machine sends a table distribution request carrying the number of dinning people corresponding to the clients to the selling end, and the selling end determines the information of the table to be distributed according to the occupation state of the table of the shop and the table distribution request sent by the queuing machine.
Step S203, the sales end determines the information of the table to be distributed according to the occupation state of the table of the shop and the table distribution request sent by the queuing machine, and sends the information of the table to be distributed to the queuing machine.
Specifically, the sales end searches for the information of the idle table according to the occupation state of the shop table; matching the number of dinning people in the table allocation request with the number of allowed dinning people corresponding to the idle table information to obtain matched idle table information; and determining the information of the table to be distributed according to the matched idle table information, and sending the information of the table to be distributed to the queuing machine. The table information to be allocated may be information such as a table number of the table to be allocated. By the aid of the method, intelligent distribution of the tables is achieved, service personnel do not need to be specially arranged in dining shops to distribute the tables for dining users, and distribution efficiency of the tables is effectively improved.
And step S204, highlighting the table position corresponding to the table information to be distributed in the shop table distribution image by the queuing machine, generating a dining reminding notice, and sending the dining reminding notice to the client for reminding dining.
In order to facilitate a dinning user to conveniently and quickly find a corresponding table for dinning, a shop table distribution image is stored in the queuing machine in advance, distribution positions of all tables in a catering shop are recorded in the shop table distribution image, and after the queuing machine receives information of the table to be distributed sent by a sales end, the queuing machine can highlight marks on the positions of the tables corresponding to the information of the table to be distributed in the shop table distribution image according to the information of the table to be distributed to generate a dinning reminding notice. The dining reminding notification comprises information such as a table number of the table to be allocated, a distribution image of the table of the shop highlighting the position of the table corresponding to the information of the table to be allocated, and a guiding route.
Specifically, table positions corresponding to the table information to be distributed in the distribution image of the shop table are highlighted in the distribution image of the shop table in a manner of underlining, background color increasing, highlighting and the like. Those skilled in the art may also use other manners to highlight the table position corresponding to the table information to be allocated, which is not limited herein.
After the dining reminding notification is generated, the queuing machine sends the dining reminding notification to the client to remind a user of dining, the dining user at the client side can conveniently and quickly find the corresponding table to eat according to the distribution image of the table of the restaurant after the identification is highlighted in the dining reminding notification, the dining shop is not required to arrange service personnel specially for distributing the table and guiding the route for the dining user, the labor cost put into the dining shop is effectively saved, the dining user can conveniently go to the dining, the dining service quality is improved, and the improvement of the user experience is facilitated.
Step S205, the client scans the table two-dimensional code corresponding to the table information to be distributed, orders are placed and confirmed according to the pre-ordered order information corresponding to the client, confirmed order placing information corresponding to the table information to be distributed is generated, and the confirmed order placing information is sent to the sales end.
Each table in the catering shop is displayed with a corresponding table two-dimensional code, so that a dining user can scan the table two-dimensional code by using a client to place an order and determine the order. After the dining user finds the corresponding table to be distributed and takes a seat according to the dining reminding notice, the client can be used for scanning the table two-dimensional code corresponding to the table information to be distributed, the selling end returns a shop ordering page to the client, the client displays the shop ordering page, ordering confirmation is carried out on ordering order information corresponding to the client, confirmation ordering information corresponding to the table information to be distributed is generated, and then the client sends the generated confirmation ordering information to the selling end so that the selling end can complete ordering operation according to the confirmation ordering information. Specifically, the client may generate the order placing confirmation information corresponding to the table information to be allocated according to the triggering operation of the dining user on the order placing confirmation button.
And step S206, the sales end sends the pre-ordering order information corresponding to the client to the kitchen end according to the confirmed ordering information corresponding to the table information to be distributed for the kitchen end to process.
The confirmation ordering information corresponding to the to-be-distributed table information may be generated and transmitted by the service staff at the restaurant after the service staff confirms that the dining user is seated, instead of being generated and transmitted by the client. Or when the table is an intelligent dining table, after the dining user takes a seat, the dining user can directly operate on the intelligent dining table to generate confirmed ordering information corresponding to the table information to be distributed, and then the confirmed ordering information corresponding to the table information to be distributed is sent to the sales end.
In order to enable a dining user to obtain good dining experience and avoid the situation that the dining user is not allocated with a table and the kitchen has finished making dishes, after the client finishes pre-ordering operation, the sales end stores pre-ordering order information corresponding to the client without directly sending the pre-ordering order information to the kitchen end, and after the sales end acquires confirmation ordering information corresponding to the table information to be allocated, the sales end sends the pre-ordering order information corresponding to the client to the kitchen end according to the confirmation ordering information corresponding to the table information to be allocated for processing by the kitchen end, such as making dishes.
In the waiting process, it is likely that the dining user gives up waiting midway due to the long waiting time and the like, and then after the queuing machine sends the dining reminding notification to the client for reminding dining, the method may further include: the sales end judges whether order placing confirmation information corresponding to the table information to be distributed is received within preset time after the table information to be distributed is sent; if yes, go to step S206; if not, the table to be distributed is released, a table release notification is sent to the client side to notify the client side that the table is not reserved for the client side any more, so that the table is effectively utilized, and the situation that the table is reserved for a long time and no one has a dinner is avoided. The preset time can be set by a person skilled in the art according to actual needs, and is not limited herein, for example, the preset time can be set to 10 minutes.
If the client finishes the prepayment operation in the process of ordering food in advance, the sales end can send a table release notice to the client and return the prepayment amount paid by the client under the condition that the confirmation ordering information corresponding to the table information to be distributed is not received within the preset time, so that the economic loss of the diner is avoided.
In an optional implementation manner, the store ordering information may directly include the preferential strength information, so that when the client performs ordering operation according to the store ordering information, the seller can quickly calculate the prepaid amount based on the preferential strength information in the store ordering information. Specifically, the queuing machine determines the allelic information corresponding to the client according to a queuing request sent by the client, and sends the allelic information corresponding to the client to the marketing server; then, the marketing service side calculates the preferential strength information according to the allelic information corresponding to the client side; then the marketing server side sends the preferential strength information to a queuing machine; and the queuing machine generates the pre-ordering information of the shop according to the preferential strength information and the link address of the pre-ordering page of the shop, so that the client can perform pre-ordering operation according to the pre-ordering information of the shop. When the client performs the pre-ordering operation according to the pre-ordering information of the shop, the sales end can conveniently acquire the preferential strength information according to the pre-ordering information of the shop and calculate the pre-payment amount based on the preferential strength information.
The queuing pre-ordering processing method provided by the embodiment can intelligently calculate the preferential strength information according to the allelic information corresponding to the client, provides ordering preference for the allelic dinning users, improves the allelic experience of the users, is beneficial to saving the allelic dinning users, and avoids the loss of passenger flow of the dining shop due to the allelic state; moreover, the tables can be intelligently distributed according to the occupation states of the table tops of the stores and the number of dining persons in the table distribution request, the table positions corresponding to the information of the table tops to be distributed are marked in the distribution images of the table tops, and the dining reminding notice is generated, so that a dining user at the client side can conveniently and quickly find the corresponding table for dining according to the distribution images of the table tops marked in the dining reminding notice, and a dining store does not need to specially arrange service personnel to distribute the table tops and guide routes for the dining user, thereby effectively saving the labor cost for dining in the stores, improving the dining service quality and improving the dining experience of the user; in addition, if the order-placing confirmation information corresponding to the table information to be distributed is not received within a period of time after the table information to be distributed is sent, the table to be distributed is automatically released, so that the table is effectively utilized, and the condition that the table is reserved for a long time and no one has a meal is avoided.
Fig. 3 is a block diagram illustrating a structure of a queuing pre-order processing system according to an embodiment of the present invention, as shown in fig. 3, the system comprising: client 310, marketing server 320, sales end 330, and queuing machine 340.
Marketing server 320 is adapted to: and calculating the preferential strength information according to the allelic information corresponding to the client 310, so that when the client 310 performs the pre-ordering operation, the seller 330 calculates the pre-payment amount based on the preferential strength information.
Wherein, the allelic information comprises: the preorders are equal in number, expected equal in time length and the number of diners; marketing server 320 is further adapted to: calculating to obtain a predicted consumption amount according to the number of diners and the average consumption amount of historical people; performing operation processing on the preorder allelic quantity, the estimated allelic duration and the estimated consumption amount by using a preset algorithm to obtain a preferential parameter; and matching the preferential parameters with a preset condition threshold to obtain matched preferential strength information.
The point-of-sale 330 is adapted to: according to the occupancy state of the table of the shop and the table allocation request sent by the queuing machine 340, the table information to be allocated is determined, and the table information to be allocated is sent to the queuing machine 340.
The queuing machine 340 is adapted to: and generating a dining reminding notification according to the table information to be distributed, and sending the dining reminding notification to the client 310 for reminding dining.
The point-of-sale 330 is further adapted to: and finishing the ordering operation according to the confirmed ordering information corresponding to the table information to be distributed.
In one embodiment, queuing machine 340 is further adapted to: determining the allelic information corresponding to the client 310 according to the queuing request sent by the client 310, and generating pre-ordering information of the store according to the allelic information corresponding to the client 310 and the link address of the pre-ordering page of the store; the client 310 is further adapted to: carrying out pre-ordering operation according to the pre-ordering information of the shop; marketing server 320 is further adapted to: when the client 310 performs the pre-ordering operation according to the pre-ordering information of the store, the allelic information corresponding to the client 310 is acquired according to the pre-ordering information of the store, and the preferential strength information is calculated according to the allelic information corresponding to the client 310.
In another embodiment, queuing machine 340 is further adapted to: determining the allelic information corresponding to the client 310 according to the queuing request sent by the client 310, and sending the allelic information corresponding to the client 310 to the marketing server 320; marketing server 320 is further adapted to: sending the coupon strength information to the queuing machine 340; the queuing machine 340 is further adapted to: and generating the pre-ordering information of the store according to the preferential strength information and the link address of the pre-ordering page of the store, so that the client 310 can perform pre-ordering operation according to the pre-ordering information of the store.
Optionally, the queuing machine 340 is further adapted to: according to the allelic sequence of the clients 310, a table allocation request carrying the number of diner people corresponding to the clients 310 is sent to the sales end 330.
Optionally, the point-of-sale 330 is further adapted to: searching for free table information according to the occupation state of the shop table; matching the number of dinning people in the table allocation request with the number of allowed dinning people corresponding to the idle table information to obtain matched idle table information; and determining the table information to be distributed according to the matched idle table information, and sending the table information to be distributed to the queuing machine 340.
Optionally, the queuing machine 340 is further adapted to: and highlighting the table positions corresponding to the table information to be distributed in the shop table distribution image to generate a dining reminding notice.
Optionally, the client 310 is further adapted to: scanning the table two-dimensional code corresponding to the table information to be distributed, placing order confirmation is performed on the pre-ordered order information corresponding to the client 310, confirmation placing order information corresponding to the table information to be distributed is generated, and the confirmation placing order information is sent to the sales terminal 330.
Optionally, the point-of-sale 330 is further adapted to: judging whether order placing confirmation information corresponding to the table information to be distributed is received within preset time after the table information to be distributed is sent; if not, a table release notification is sent to the client 310, and the prepaid amount paid by the client 310 is returned.
Optionally, the point-of-sale 330 is further adapted to: and sending the pre-ordering order information corresponding to the client 310 to the kitchen end according to the confirmed ordering information corresponding to the table information to be distributed for the kitchen end to process.
The queuing pre-ordering processing system provided by the embodiment can intelligently calculate the preferential strength information according to the allelic information corresponding to the client, provides ordering preference for the allelic dinning users, improves the allelic experience of the users, is beneficial to saving the allelic dinning users, and avoids the loss of passenger flow of the dining shop due to the allelic state; moreover, the tables can be intelligently distributed according to the occupation states of the table tops of the stores and the number of dining persons in the table distribution request, the table positions corresponding to the information of the table tops to be distributed are marked in the distribution images of the table tops, and the dining reminding notice is generated, so that a dining user at the client side can conveniently and quickly find the corresponding table for dining according to the distribution images of the table tops marked in the dining reminding notice, and a dining store does not need to specially arrange service personnel to distribute the table tops and guide routes for the dining user, thereby effectively saving the labor cost for dining in the stores, improving the dining service quality and improving the dining experience of the user; in addition, if the order-placing confirmation information corresponding to the table information to be distributed is not received within a period of time after the table information to be distributed is sent, the table to be distributed is automatically released, so that the table is effectively utilized, and the condition that the table is reserved for a long time and no one has a meal is avoided.
The invention also provides a nonvolatile computer storage medium, wherein the computer storage medium stores at least one executable instruction, and the executable instruction can execute the queuing pre-ordering processing method in any method embodiment.
Fig. 4 is a schematic structural diagram of a computing device according to an embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the computing device.
As shown in fig. 4, the computing device may include: a processor (processor)402, a Communications Interface 404, a memory 406, and a Communications bus 408.
Wherein:
the processor 402, communication interface 404, and memory 406 communicate with each other via a communication bus 408.
A communication interface 404 for communicating with network elements of other devices, such as clients or other servers.
The processor 402 is configured to execute the program 410, and may specifically execute relevant steps in the embodiment of the queuing pre-order processing method.
In particular, program 410 may include program code comprising computer operating instructions.
The processor 402 may be a central processing unit CPU, or an application specific Integrated circuit asic, or one or more Integrated circuits configured to implement an embodiment of the present invention. The computing device includes one or more processors, which may be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 406 for storing a program 410. Memory 406 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 410 may be specifically configured to cause the processor 402 to execute the queuing pre-order processing method in any of the above-described method embodiments. For specific implementation of each step in the program 410, reference may be made to corresponding steps and corresponding descriptions in units in the foregoing embodiment of queuing pre-order processing, which are not described herein again. It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described devices and modules may refer to the corresponding process descriptions in the foregoing method embodiments, and are not described herein again.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components in accordance with embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.

Claims (22)

1. A method of queued pre-order processing, the method comprising:
the marketing service side acquires the allelic information corresponding to the client side from the queuing machine, calculates the preferential strength information according to the allelic information corresponding to the client side, and generates the pre-ordering information of the shop according to the allelic information corresponding to the client side or the preferential strength information by the queuing machine, so that when the client side carries out pre-ordering operation according to the pre-ordering information of the shop, the seller side calculates the pre-payment amount based on the preferential strength information;
the sales end determines the information of the tables to be distributed according to the occupation state of the tables of the shop and the table distribution request sent by the queuing machine, and sends the information of the tables to be distributed to the queuing machine;
the queuing machine generates a dining reminding notification according to the table information to be distributed, and sends the dining reminding notification to the client to remind the client of dining;
the sales end completes ordering operation according to the confirmed ordering information corresponding to the table information to be distributed;
wherein the allelic information includes: the preorders are equal in number, expected equal in time length and the number of diners; and the marketing server calculates to obtain a predicted consumption amount according to the number of the diners and the historical per capita consumption amount, and the predicted consumption amount is used for calculating the preferential strength information.
2. The method of claim 1, wherein the marketing server obtains the client-side corresponding allele from the queuing machine, and calculating the offer level information according to the client-side corresponding allele further comprises:
the marketing server side utilizes a preset algorithm to carry out operation processing on the preorder allelic quantity, the estimated allelic duration and the estimated consumption amount to obtain a discount parameter;
and matching the preferential parameters with a preset condition threshold to obtain matched preferential strength information.
3. The method of claim 1, wherein before the marketing server obtains the client-corresponding allele from the queuing machine and calculates the offer level information according to the client-corresponding allele, the method further comprises: the queuing machine determines the allelic information corresponding to the client according to the queuing request sent by the client, and generates pre-ordering information of the store according to the allelic information corresponding to the client and the link address of the pre-ordering page of the store, so that the client can perform pre-ordering operation according to the pre-ordering information of the store;
the marketing service side acquires the allelic information corresponding to the client side from the queuing machine, and the calculation of the preferential strength information according to the allelic information corresponding to the client side specifically comprises the following steps: and when the client performs pre-ordering operation according to the pre-ordering information of the shop, the marketing service end acquires the allelic information corresponding to the client according to the pre-ordering information of the shop, and calculates the preferential strength information according to the allelic information corresponding to the client.
4. The method of claim 1, wherein before the marketing server obtains the client-corresponding allele from the queuing machine and calculates the offer level information according to the client-corresponding allele, the method further comprises: the queuing machine determines the allelic information corresponding to the client according to the queuing request sent by the client, and sends the allelic information corresponding to the client to the marketing server;
after the marketing service side acquires the allelic information corresponding to the client from the queuing machine and calculates the preferential strength information according to the allelic information corresponding to the client, the method further comprises the following steps: the marketing service end sends the preferential strength information to the queuing machine; and the queuing machine generates the pre-ordering information of the shop according to the preferential strength information and the link address of the pre-ordering page of the shop, so that the client can perform pre-ordering operation according to the pre-ordering information of the shop.
5. The method of claim 1, wherein before the seller determines the table information to be allocated according to the occupancy status of the table at the store and the table allocation request sent by the queuing machine, the method further comprises:
and the queuing machine sends a table distribution request carrying the number of dinning people corresponding to the client to the sales end according to the allelic sequence of the client.
6. The method of claim 5, wherein the point-of-sale determining table information to be allocated according to the occupancy status of the store table and the table allocation request sent by the queuing machine, and sending the table information to be allocated to the queuing machine further comprises:
the sales end searches for the information of the idle table according to the occupation state of the shop table;
matching the number of dinning people in the table allocation request with the number of dinning people allowed corresponding to the idle table information to obtain matched idle table information;
and determining the information of the table to be distributed according to the matched idle table information, and sending the information of the table to be distributed to the queuing machine.
7. The method of any of claims 1-6, wherein the queuing machine generating a meal reminder notification in accordance with the table information to be allocated further comprises:
and the queuing machine highlights the table position corresponding to the table information to be distributed in the shop table distribution image and generates a dining reminding notice.
8. The method according to any one of claims 1 to 6, wherein before the sales end completes the ordering operation according to the confirmed ordering information corresponding to the table information to be distributed, the method further comprises:
and the client scans the table two-dimensional code corresponding to the table information to be distributed, places an order for confirming the pre-ordered order information corresponding to the client, generates confirmed order placing information corresponding to the table information to be distributed, and sends the confirmed order placing information to the selling end.
9. The method of any of claims 1-6, wherein after the queuing machine generates a meal reminder notification from the table information to be allocated and sends the meal reminder notification to the client to remind the client of a meal, the method further comprises:
the sales end judges whether order placing confirmation information corresponding to the table information to be distributed is received within preset time after the table information to be distributed is sent; if not, sending a table release notice to the client, and returning the prepayment amount paid by the client.
10. The method according to any one of claims 1 to 6, wherein the sales end completes the ordering operation according to the confirmed ordering information corresponding to the table information to be distributed, and further comprises the following steps:
and the sales end sends the pre-ordering order information corresponding to the client to a kitchen end according to the confirmation ordering information corresponding to the table information to be distributed for the kitchen end to process.
11. A queued pre-order processing system, the system comprising: the system comprises a client, a marketing server, a sales end and a queuing machine; wherein the content of the first and second substances,
the marketing server is adapted to: acquiring the allelic information corresponding to the client from the queuing machine, and calculating the preferential strength information according to the allelic information corresponding to the client;
the queuing machine is adapted to: generating pre-ordering information of the shop according to the allelic information corresponding to the client or the preferential strength information, so that when the client performs pre-ordering operation according to the pre-ordering information of the shop, the seller calculates the pre-payment amount based on the preferential strength information;
the point-of-sale is adapted to: according to the occupied state of the table of the shop and the table distribution request sent by the queuing machine, determining the information of the table to be distributed, and sending the information of the table to be distributed to the queuing machine;
the queuing machine is further adapted to: generating a dining reminding notification according to the table information to be distributed, and sending the dining reminding notification to the client to remind the client of dining;
the point-of-sale further adapted to: finishing order placing operation according to the confirmed order placing information corresponding to the table information to be distributed;
wherein the allelic information includes: the preorders are equal in number, expected equal in time length and the number of diners; the marketing server is further adapted to: and calculating to obtain a predicted consumption amount according to the number of the diners and the average consumption amount of the historical persons, wherein the predicted consumption amount is used for calculating the preferential strength information.
12. The system of claim 11, wherein the allelic information comprises: the marketing server is further adapted to:
calculating the preorder allelic quantity, the estimated allelic duration and the estimated consumption amount by using a preset algorithm to obtain a preferential parameter;
and matching the preferential parameters with a preset condition threshold to obtain matched preferential strength information.
13. The system of claim 11, wherein the queuing machine is further adapted to: according to the queuing request sent by the client, determining the allelic information corresponding to the client, and according to the allelic information corresponding to the client and the link address of the pre-ordering page of the shop, generating pre-ordering information of the shop;
the client is further adapted to: carrying out pre-ordering operation according to the pre-ordering information of the shop;
the marketing server is further adapted to: and when the client performs pre-ordering operation according to the pre-ordering information of the shop, acquiring the allelic information corresponding to the client according to the pre-ordering information of the shop, and calculating the preferential strength information according to the allelic information corresponding to the client.
14. The system of claim 11, wherein the queuing machine is further adapted to: determining the allelic information corresponding to the client according to the queuing request sent by the client, and sending the allelic information corresponding to the client to the marketing service end;
the marketing server is further adapted to: sending the preferential strength information to the queuing machine;
the queuing machine is further adapted to: and generating the pre-ordering information of the shop according to the preferential strength information and the link address of the pre-ordering page of the shop, so that the client can perform pre-ordering operation according to the pre-ordering information of the shop.
15. The system of claim 11, wherein the queuing machine is further adapted to: and sending a table distribution request carrying the number of dinning people corresponding to the client to the sales end according to the allelic sequence of the client.
16. The system of claim 15, wherein the point of sale is further adapted to:
searching for free table information according to the occupation state of the shop table;
matching the number of dinning people in the table allocation request with the number of dinning people allowed corresponding to the idle table information to obtain matched idle table information;
and determining the information of the table to be distributed according to the matched idle table information, and sending the information of the table to be distributed to the queuing machine.
17. The system of any of claims 11-16, wherein the queuing machine is further adapted to: and highlighting the table position corresponding to the information of the table to be distributed in the shop table distribution image to generate a dining reminding notice.
18. The system of any one of claims 11-16, wherein the client is further adapted to: scanning the table two-dimensional code corresponding to the table information to be distributed, ordering and confirming the pre-ordered order information corresponding to the client, generating confirmed ordering information corresponding to the table information to be distributed, and sending the confirmed ordering information to the sales end.
19. The system of any of claims 11-16, wherein the point of sale terminal is further adapted to: judging whether order placing confirmation information corresponding to the table information to be distributed is received within preset time after the table information to be distributed is sent; if not, sending a table release notice to the client, and returning the prepayment amount paid by the client.
20. The system of any of claims 11-16, wherein the point of sale terminal is further adapted to: and sending the pre-ordering order information corresponding to the client to a kitchen end according to the confirmed ordering information corresponding to the table information to be distributed for the kitchen end to process.
21. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is configured to store at least one executable instruction that causes the processor to perform operations corresponding to the method of queued pre-order food processing of any of claims 1-10.
22. A computer storage medium having stored therein at least one executable instruction that causes a processor to perform operations corresponding to the method of queued pre-order processing as recited in any of claims 1-10.
CN201910086059.XA 2019-01-29 2019-01-29 Queuing pre-ordering processing method and system Active CN109829711B (en)

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CN201910086059.XA CN109829711B (en) 2019-01-29 2019-01-29 Queuing pre-ordering processing method and system
PCT/CN2020/073236 WO2020156326A1 (en) 2019-01-29 2020-01-20 Processing method and system for queuing up for pre-ordering food

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