CN113344746A - Data processing method, system, device, electronic equipment and storage medium - Google Patents
Data processing method, system, device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN113344746A CN113344746A CN202110751229.9A CN202110751229A CN113344746A CN 113344746 A CN113344746 A CN 113344746A CN 202110751229 A CN202110751229 A CN 202110751229A CN 113344746 A CN113344746 A CN 113344746A
- Authority
- CN
- China
- Prior art keywords
- data
- interest
- service
- service information
- client
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
Abstract
The embodiment of the application provides a method, a system, a device, an electronic device and a storage medium for data processing, wherein the method comprises the following steps: the method comprises the steps that service information uploaded by at least one intelligent device is obtained, wherein the at least one intelligent device comprises at least one of a robot, an intelligent landline phone, an intelligent mobile phone and an interphone, and the service information represents interactive information generated in the process of serving a customer; counting interested targets of the clients in a set time period according to the service information; the interested target is provided, and the service information uploaded by the intelligent equipment can help the shop to provide an accurate determination of the interested target of the customer, so that the operation strategy is improved, and the user experience is improved.
Description
Technical Field
The embodiment of the application relates to the field of hotel management, in particular to a data processing method, a system, a device, electronic equipment and a storage medium.
Background
In the related art, digital operation of a hotel is in the aspect of software, and generally takes traditional hotel services of check-in and check-out as the main to help manage the state of rooms of the hotel; in addition, due to the fact that service data in the hotel room is lost, the hotel room management personnel cannot efficiently and accurately meet the requirements of the client in holding as a hotel service scene with high privacy, and other services except for the client in holding are not conveniently and actively provided for the client.
Therefore, how to carry out digital management through intelligent equipment of a hotel becomes an urgent problem to be solved.
Disclosure of Invention
The embodiment of the application provides a data processing method, a data processing system, a data processing device, electronic equipment and a storage medium, and at least some embodiments of the application can help a shop to provide an accurate determination of a target of interest of a customer through service information uploaded by intelligent equipment, so that an operation strategy is improved, and the experience of hotel customers is improved.
In a first aspect, the present application provides an embodiment of a method for data processing, where the method includes: the method comprises the steps that service information uploaded by at least one intelligent device is obtained, wherein the at least one intelligent device comprises at least one of a robot, an intelligent landline phone, an intelligent mobile phone and an interphone, and the service information represents interactive information generated in the process of serving a customer; counting interested targets of the clients in a set time period according to the service information; providing the object of interest.
Therefore, the embodiment of the application can obtain accurate data in the customer service process in a set time period by performing statistical analysis on the service information uploaded by at least one intelligent device, so that a store is helped to provide an accurate target of interest of a customer, the operation strategy is improved, and the experience of a hotel customer is improved.
With reference to the first aspect, in one embodiment, the service information includes delivered item data uploaded by the robot, wherein the delivered item data includes delivered item task data or delivered item data; the target of interest of the client in a set time period according to the service information statistics comprises the following steps: counting according to the delivered article data to obtain the interested articles of the client; or, counting according to the delivery task data to obtain the interested service of the client; the providing the object of interest comprises: providing the item of interest or the service of interest.
Therefore, according to the embodiment of the application, the interesting articles or interesting services of the client can be obtained by counting the transmitted article data uploaded by the robot, so that the client requirements can be known, the operation strategy can be adjusted in a targeted manner, and the user experience is improved.
With reference to the first aspect, in one embodiment, the delivery data includes the delivery task data and the delivery item data; the target of interest of the client in a set time period according to the service information statistics comprises the following steps: performing fusion statistics according to the delivery task data and the delivery article data in the set time period to obtain the ranking of the interested target; the providing the object of interest comprises: providing the target of interest ranking.
Therefore, the ranking of the interested targets of the client can be obtained through comprehensive analysis of the delivered item data and the delivered item data, so that the interested targets with the higher ranking can be focused, and the business strategy can be adjusted according to the interested targets with the higher ranking.
With reference to the first aspect, in one implementation, the service information includes sales data uploaded by the smartphone; the target of interest of the client in a set time period according to the service information statistics comprises the following steps: counting according to the sales data in the set time period to obtain consumption habit data of the client; the providing the object of interest comprises: and providing the consumption habit data of the client.
Therefore, according to the embodiment of the application, the consumption habit data of the customer can be obtained through the sales data uploaded by the smart phone, and the customer requirements can be known through the consumption habits, so that the service can be adaptively adjusted, for example: the placed drinks in the hotel room are adjusted according to the consumption habits of customers, and the goods are sold at a low rate.
With reference to the first aspect, in one implementation, the service information includes call data uploaded by the smart landline; the target of interest of the client in a set time period according to the service information statistics comprises the following steps: counting according to the call data in the set time period to obtain the interested articles of the client; the providing the object of interest comprises: providing the customer's item of interest.
Therefore, according to the embodiment of the application, the call data of the intelligent telephone is adjusted, the interested articles of the client can be accurately obtained, and the articles stored in the intelligent container and other storage devices are adjusted according to the interested articles.
With reference to the first aspect, in one implementation, the service information includes an audio file uploaded by the intercom; the target of interest of the client in a set time period according to the service information statistics comprises the following steps: carrying out voice processing on the audio file in the set time interval to obtain voice information; counting according to the voice information to obtain the state of the interested service; the providing the object of interest comprises: providing a status of the service of interest; or, controlling the interested service to receive or close according to the state of the interested service.
Therefore, the embodiment of the application can monitor the service state by acquiring the audio file in the interphone, so that the cost of manual service is saved; the receiving or closing of the interested service can be controlled according to the audio file, and the task transmission process is simplified (for example, the existing process that voice in an interphone needs to be manually received and then the interested service is manually closed is improved).
In a second aspect, an embodiment of the present application provides a data processing system, where the system includes: a server configured to perform the method of the preceding claims; at least one smart device configured to upload service information to the electronic device, wherein the at least one smart device includes: at least one of a robot, a smart landline, a smart phone, and an intercom.
In a third aspect, an embodiment of the present application provides an apparatus for data processing, where the apparatus includes: the information acquisition module is configured to acquire service information uploaded by at least one intelligent device, wherein the at least one intelligent device comprises at least one of a robot, an intelligent landline telephone, a smart phone and an interphone, and the service information represents interactive information generated in the process of serving a customer; the information analysis module is configured to statistically set an interest target of the client within a time period according to the service information; an analysis result providing module configured to display the analysis result, providing the object of interest.
With reference to the third aspect, in one embodiment, the service information includes delivered item data uploaded by the robot, wherein the delivered item data includes delivered item task data and/or delivered item data; the information analysis module is further configured to: carrying out statistical analysis according to the delivery data to obtain interested articles and/or interested services of the client; the analysis result providing module is further configured to: providing the customer's items of interest and/or services of interest.
With reference to the third aspect, in one embodiment, the delivery data includes the delivery task data and the delivery item data; the information analysis module is further configured to: performing fusion statistical analysis according to the delivery task data and the delivery article data in the set time period to obtain the ranking of the interested target; the analysis result providing module is further configured to: providing the target of interest ranking.
With reference to the third aspect, in one embodiment, the service information includes sales data uploaded by the smartphone; the information analysis module is further configured to: performing statistical analysis according to the sales data in the set time period to obtain consumption habit data of the customer; the analysis result providing module is further configured to: and providing the consumption habit data of the client.
With reference to the third aspect, in one embodiment, the service information includes call data uploaded by the smart landline; the information analysis module is further configured to: performing statistical analysis according to the call data in the set time period to obtain the interested articles of the client; the analysis result providing module is further configured to: providing the customer's item of interest.
With reference to the third aspect, in one embodiment, the service information includes an audio file uploaded by the intercom; the information analysis module is further configured to: carrying out voice processing on the audio file in the set time interval to obtain voice information; performing statistical analysis according to the voice information to obtain the state of the interested service; the analysis result providing module is further configured to: providing a status of the service of interest; or, controlling the interested service to receive or close according to the state of the interested service.
In a fourth aspect, an embodiment of the present application provides an electronic device, including: a processor, a memory, and a bus; the processor is connected to the memory via the bus, and the memory stores computer readable instructions for implementing the method according to the first aspect and any of the embodiments when the computer readable instructions are executed by the processor.
In a fifth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program is used to implement the method according to any one of the first aspect and the implementation manner of the first aspect when the computer program is executed.
Drawings
Fig. 1 is a view illustrating a hotel service scenario according to an embodiment of the present application;
FIG. 2 is a system for data processing according to an embodiment of the present disclosure;
FIG. 3 is a flow chart of a method for processing data according to an embodiment of the present application;
FIG. 4 is a diagram illustrating a data acquisition method according to an embodiment of the present application;
FIG. 5 is a diagram of an apparatus for data processing according to an embodiment of the present application;
fig. 6 is an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as presented in the figures, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
The method steps in the embodiments of the present application are described in detail below with reference to the accompanying drawings.
The embodiment of the application can be applied to a plurality of service information analysis scenarios, for example, the scenarios include that at least one intelligent device in a hotel uploads service information to a background in the process of serving a customer, and the background performs statistics. Specifically, with the development of digital operation of the hotel, the hotel operation strategy needs to depend on service information generated in the process of serving customers, but as a hotel service scene with higher privacy, the hotel operator cannot efficiently and accurately hold the demands of the customers, and is also inconvenient to actively provide other services except for check-in for the customers, so that the hotel is trapped in pure peripheral hardware of the hotel which is better by a provider, service experience is improved, and the feeling of the customers when the customers check-in is ignored.
At least in order to solve the above problem, according to the method for acquiring service information uploaded by at least one piece of intelligent equipment, counting and analyzing the service information, and adjusting an operation policy according to an analysis result provided by some embodiments of the present application, it is possible to help a hotel provide accurate service information counting, thereby implementing customer behavior analysis, improving the operation policy, and improving the living experience of customers.
Specifically, the robot, the intelligent container, the interphone, the ticket machine, the small program mall and the hotel interphone (namely the intelligent landline) hardware are used as a carrier/data inlet to receive data and upload the data to the cloud server; the cloud end classifies and counts data from different sources, and then analyzes the data from different dimensions, so as to obtain the in-dwelling behavior analysis, in-dwelling experience analysis, client group analysis and the like of hotel guests; and displaying the statistical analysis result to a front end and a mobile end (small program) through a data management background, and automatically generating a weekly report/monthly report in the small program and directionally pushing the weekly report/monthly report to hotel staff and managers.
The service scenario of at least one intelligent device in the embodiment of the present application will be described below by taking a hotel management scenario as an example. It should be understood that the solution of the embodiment of the present application may also be applied to other scenarios, for example, a cinema customer demand scenario, a merchant user shopping demand scenario, and a restaurant user demand scenario. Correspondingly, in other scenarios, the at least one smart device in the embodiment of the present application may be one or more devices among a robot, a smart landline phone, a smart phone, and an intercom, and the service information is information uploaded by the at least one smart device. Of course, in the other scenarios, the smart device may further include other devices, for example, in a restaurant scenario, and the smart device may further include a meal ordering terminal, and the embodiment of the present application is not limited thereto. The embodiment of the present application is applied to a specific scheme in other scenarios, and reference may be made to the following description applied to a hotel service scenario, and a person skilled in the art may perform various adaptive transformations based on the following description in the hotel service scenario, which is not described herein again.
As shown in fig. 1, on one hand, a customer in a room uses a smart landline to make a call 101, the call is assigned to a smart housekeeper 102 for identification, whether the customer needs are identified 103 is judged, and the process is changed to manual identification 104 in the process of not identifying; under the condition that the customer requirements are identified, whether a person provides services is judged 105, if not, the services are classified into a question-answer task 107 and a service task 106 according to task classification, and if so, a provision closing task 111 is executed; if the service tasks are the service tasks, the tasks are classified into repair reporting 108, free goods delivery 109 and meal ordering/room meal delivery 110, the tasks of repair reporting 108 and free goods delivery 109 are distributed to an interphone 112, and the interphone 112 respectively notifies maintenance 114 and room delivery 115; after the meal order/room delivery 110 task is assigned to the ticketing machine 113, printing of the tickets, serving 116, and robotic delivery 117 are performed.
On the other hand, when the customer uses the code scanning shopping 118 to place an order through the small program 119, the order can be printed by a container delivery 120, a front desk fetching 123 or a small ticket machine 113 after the order is placed (for example, when the customer orders a hotel meal); in the case of the container shipment 120, the goods 121 are delivered by a robot after the shipment is completed, and then the goods 122 are taken by a guest; in the case of picking up items 123 in the foreground, the items are still delivered 121 by the robot after being placed in the foreground; in the case of a ticket machine 113 printing an order, after the ticket machine 113 receives the order, printing of the ticket, drawing of a meal 116, and robot delivery 117 are performed.
In the following, a hotel management scenario is taken as an example to describe a data processing system in the embodiment of the present application in the service scenario of the at least one smart device.
As shown in fig. 2, a system for processing data in an embodiment of the present application includes: a server 210 configured to execute a method of data processing; at least one smart device 220 configured to upload service information to the server 210, wherein the at least one smart device comprises 220: robot, intelligent landline, smart mobile phone and intercom.
That is, at least one intelligent device uploads service information (such as the type, price, time and the like of the customer's needs) generated in the process of serving the customer to the server 210 during the process of performing a task (such as the robot sending the customer's needs to a room where the customer lives), and the server 210 counts the service information after receiving the service information, obtains an interested target of the customer within a set time period, and provides the interested target to a user (i.e., a hotel attendant).
It should be noted that at least one intelligent device may transmit service information to the server individually, or may transmit service information to the server together; the server may acquire service information of only one intelligent device, or may receive service information of a plurality of intelligent devices.
As will be exemplarily set forth below, the server 210 in the data processing system performs a data processing method.
In the existing hotel service scene, the hotel service scene comprises a robot, an intelligent container, an interphone, a receipt machine, an intelligent hotel interior line seat machine and a small program mall on a customer intelligent mobile phone; the robot provides the delivery service; the intelligent container provides storage; the interphone is mainly used for the working personnel of the hotel represented by aunt guest room and is used for transmitting task information; the small program shopping mall on the hotel interior line smart phone and the customer smart phone mainly serves hotel customers and serves as a main entrance for customer demand acquisition; the receipt machine mainly provides order notification and reminding.
The existing working mode of the intelligent equipment is as follows: a client autonomously places an order or describes requirements and required services through a guest room code scanning or an intelligent seat phone, information is collected and classified through a background to generate a task, the task is transmitted to a role of executing the task through intelligent equipment such as an interphone, a receipt machine, an intelligent container or a robot, and a closed loop for providing services through man-machine linkage is formed.
As for the existing working mode in the hotel scene, the problem of service data loss in the hotel live still exists, specifically, as the hotel service scene with higher privacy, the hotel can not efficiently and accurately grasp the requirements of the customers in the hotel live in management personnel, and is also inconvenient to actively provide other services except for the live in for the customers, and the hotel is trapped in a simple manner and provides better hotel peripheral environment setting to provide service experience; meanwhile, in a closed loop for realizing service, the service can be realized only by man-machine linkage (for example, after a hotel attendant receives a client room-returning voice sent by an interphone, the room-returning service is provided), so that the labor cost is wasted.
Therefore, in view of the above problems, embodiments of the present application provide a method for data processing.
As shown in fig. 3, a data processing method in the embodiment of the present application includes S310, obtaining service information uploaded by at least one smart device; s320, counting interested targets of the clients in a set time period according to the service information; s330, providing the interested target.
In an implementation manner of the embodiment of the application, service information uploaded by at least one piece of intelligent equipment is acquired, wherein the at least one piece of intelligent equipment comprises at least one of a robot, an intelligent landline telephone, an intelligent mobile phone and an interphone, and the service information represents interactive information generated in a process of serving a customer.
That is, the server may obtain delivery data uploaded by the robot, where the delivery data includes delivery task data or delivery item data; the delivered item data may be a list of delivered items for a hotel day, week, month, year, or any period of time, such as: the data of the delivered goods can be a list of goods (such as mineral water, beverages, slippers and the like) which are ordered by the client between 8 and 10 pm every day; the delivery task data may be delivery times of day, week, month, year or any period, such as: the number of the delivery times of the robot to any room is between 8 and 10 points every night.
That is, the server can also acquire the transmitted object task data and the transmitted object data uploaded by the robot; for example: and meanwhile, the article list of the hotel between 8 o 'clock and 10 o' clock every night, the order placing of the client and the number of the delivery times of the robot to any room are obtained.
That is, the server may also obtain sales data uploaded by the smartphone. For example: and acquiring an order submitted by a customer on the small program of the smart phone, wherein the order comprises commodity unit price, commodity type, commodity brand and the like.
That is to say, the server can also obtain the call data uploaded by the intelligent landline. For example: the number of calls made by a customer on an intelligent telephone in a room, the frequency of calls, the demand for customer demand, the demand for free goods and the like are obtained.
That is, the server may also obtain audio files uploaded by the intercom. For example: after the hotel service personnel finishes cleaning the room, the interphone is used for saying that cleaning is finished, and at the moment, the server can acquire the audio file corresponding to the saying that cleaning is finished.
It should be noted that the server may obtain the service information uploaded by the intelligent devices at the same time, may also obtain the service information uploaded by one of the intelligent devices separately, and may also obtain the service information uploaded by a plurality of intelligent devices.
The process of the server acquiring the service information uploaded by the at least one intelligent device in the present application is described above, and the processing process of the server in the present application after acquiring the service information is described below according to the following embodiments.
As an embodiment of the present application, after the server obtains the delivered item task data or the delivered item data uploaded by the robot, S320 includes: counting according to the delivered article data to obtain the interested articles of the client; or, counting according to the delivery task data to obtain the interested service of the client; s330 comprises the following steps: providing the customer's item of interest or service of interest.
That is to say, after the server acquires the delivery task data uploaded by the robot, the server counts the delivery tasks, counts and stores the delivery times of the hotel days, weeks, months, years or any time period in the delivery tasks and the whole single-room and hotel, displays the statistical result, can quantify the delivery demands of the clients during the live, and solves the problem that the statistics of the delivery demands during the live is inaccurate.
For example: the robot uploads the delivery times of the rooms in a set time period (for example, from 8 pm to 10 pm and from 10 pm to 12 pm) according to the room unit, so that the user can clearly know that the delivery demand of the user is high in which time period and the service of interest of the user, and a hotel manager can adjust the operation strategy of the hotel according to the service of interest provided by the server.
It should be noted that the service of interest is a service that the customer pays attention to, and may be a delivery service, a robot communication service, or a robot weather query service; the number of times that the robot uploads the article may be the number of times that the robot provides weather inquiry, and the like, and the embodiment of the application is not limited thereto.
That is to say, after the server acquires the delivered article data uploaded by the robot, the server counts the delivered articles, the hotel counts and stores the delivered article lists of the single room and the hotel on day, week, month, year or any time period, and displays the interested articles of the client, so that the living demand of the client can be quantified, and the problem that the content of the delivered article needs in the note is inaccurate is solved.
For example: the robot uploads the delivered items in the orders of all rooms in one day according to the room as a unit, so that the user can know which items are large in demand and which items are interesting, and the hotel management personnel can adjust the operation strategy of the hotel according to the interesting items provided by the server.
It should be noted that the interested item may be an item with a large order placing amount in a statistical customer order, or an item with a large number of buys.
As an embodiment of the present application, after the server acquires the delivered item task data and the delivered item data uploaded by the robot, S320 includes: performing fusion statistics according to the delivery task data and the delivery article data in the set time period to obtain the ranking of the interested target; s330 comprises the following steps: providing the target of interest ranking.
That is to say, after acquiring the delivered item task data and the delivered item data uploaded by the robot, the server performs combined statistics on the delivered item times and the delivered item, arranges the delivered item with higher delivered item times in front of the list, accurately obtains the delivered item demand ranking in the hotel room, helps the hotel know the customer demand, and makes corresponding business adjustment, for example: items that most customers need but are not in the room may be prepared in advance for placement in the room, etc. according to the ranking.
For example: the traditional hotel strategy is to place mineral water into a room as a gift for the client to live in, but after the method is used for carrying out combination statistics according to the number of times of delivery and the items of delivery, the ranks of the slippers and the cola clients are obtained to be the first rank and the second rank respectively, and then the slippers and the cola clients are placed into the room before the client live in.
As an embodiment of the present application, after the server obtains the sales data uploaded by the smartphone, S320 includes: counting according to the sales data in the set time period to obtain consumption habit data of the client; s330 comprises the following steps: and providing the consumption habit data of the client.
That is, after acquiring sales data uploaded by a customer through a small program of a smart phone, a server makes statistics on unit prices, types, brands and the like of articles included in the sales data to determine which brand of articles has a large sales volume among the same type of articles; or, in the same unit price article, the sales volume of that kind of article is large, etc.
For example: there are two kinds of coca-cola and pepa-cola in the small programs in the hotel, and statistics is carried out according to the sales data to find that the order quantity of the pepa-cola of the same item type is larger, so that managers of the hotel can more feed the pepa-cola, and on the contrary, the pepa-cola is relatively less fed.
The following steps are repeated: each room of the hotel is provided with a refrigerator, some drinks or wine can be put in the refrigerator for selling, the server finds that the beer sales volume is large in 6 months to 10 months every year after statistics is carried out according to sales data, and then service personnel of the hotel correspondingly adjust the goods sold in the refrigerator according to the goods of interest of customers. The embodiments of the present application are not limited thereto.
As an embodiment of the present application, after the server obtains the call data uploaded by the smart landline, S320 includes: counting according to the call data in the set time period to obtain the interested articles of the client; s330 comprises the following steps: providing the customer's item of interest.
That is to say, after the server obtains the call data uploaded by the intelligent landline, the number and frequency of ordering by the client using the intelligent landline, the demand for the customer demand, the demand for the free goods and the like can be obtained, so that the hotel can be helped to know the customer demand, and the operation strategy can be correspondingly adjusted.
For example: after the server obtains ordering data uploaded by the intelligent landline for the hotel menu, the server counts the ordering data of the menu to obtain the dishes most popular by the guest or the dishes popular in different seasons, and after the statistical information is provided for the service staff of the hotel, the service staff of the hotel can adjust the menu placed in the hotel room according to the statistical information.
It should be noted that in the embodiment of the application, the intelligent landline is provided with the sealed finished telephone box in the telephone room under the condition that the original telephone of the hotel landline is not replaced, so that the voice recognition, the voice understanding and the analysis of the intentions of the guests in the hotel can be realized, and the corresponding tasks are generated; the corresponding service is provided for the client by the robot, the service staff and the like in a point-to-point transmission mode by combining the fixed phone with the background processing; meanwhile, service process data are recorded and uploaded to the cloud, and corresponding data analysis reports are obtained and fed back to hotel management personnel, so that the hotel management personnel can know the requirements of paying attention to behaviors, and the in-dwelling service is optimized.
As an embodiment of the present application, after the server acquires the audio file uploaded by the intercom, S320 includes: carrying out voice processing on the audio file in the set time interval to obtain voice information; counting according to the voice information to obtain the state of the interested service; s330 comprises the following steps: providing a status of the service of interest; or, controlling the interested service to receive or close according to the state of the interested service.
That is, the sound recording device is installed in the structure of the traditional interphone; the recording device uploads the recorded audio file to the server, and the server performs voice processing on the audio file to obtain voice information; the voice information is classified and stored, and the semantic meaning is understood by converting characters or other processing aiming at the voice information; judging the state of the interested service corresponding to the uploaded content according to the semantic understanding result; at the moment, the state of the interested service can be displayed, and meanwhile, the command can be searched according to the requirement, and the starting and closing of the order corresponding to the interested service can be automatically controlled according to the command.
For example: the interphone uploads the audio file of '306 room returning' to the server, and the server judges 306 that the room is in a returning state after voice processing, and at the moment, the state of 306 room can be changed into a returning state; meanwhile, the orders, payment channels and the like which are transacted at 306 can be automatically closed according to the keyword of '306 returning room'.
It should be noted that the set time period may be one day, one time interval, one month, and the like, and the embodiment of the present application is not limited thereto.
It should be noted that, in the embodiment of the present application, the following data may also be obtained: as shown in fig. 4, customer requirements 401 may also be obtained by order/applet collection 402, smart voice phone collection 403, and manual phone collection 404, respectively; the collected data includes repair/question-and-answer data 405, meal delivery data 406, and delivery data 407; the delivery data 407 further includes valuable item data 408, borrowed item data 409, and free item data 410.
It should be noted that in the embodiment of the application, common problems of online shopping, ordering, customer calling, repair reporting, basic information query (such as WiFi password) and the like of a customer are solved through a small program mall, after the customer places an order, the order is generated and pushed to a designated person through a small WeChat program, and a robot or a person provides service; an AI telephone manager takes over the telephone in the hotel room and opens the manual passage at the same time, and the AI helps to take over about 70% of the telephone; providing intelligent warehousing services through an intelligent container; the automatic distribution system has the advantages that unmanned distribution service is provided through the delivery robot, semi-automatic distribution is realized by combining with hotel front desk personnel, and full-automatic distribution service is realized by combining with an intelligent container; the problem that the order information of the hotel is required to be informed to the kitchen by a telephone is solved by printing a receipt machine; the problem of task transmission needing manual service or solution is solved through the interphone; and displaying data statistics and analysis of all in-residence services and hotel operation suggestions through the service background.
Therefore, the embodiment of the application recovers the service requirements, the requirement analysis, the satisfaction conditions, the customer satisfaction degree and the like in the customer residence through software and hardware products surrounding the service in the hotel residence; through data statistics and analysis of the in-residence service, a multidimensional visual hotel operation data result is presented in a service background (for example, the amount of the total quantity of the telephone lines in the month is difficult to count by the original hotel, and the amount of the total quantity of the goods delivered in the month is difficult to know), and a hotel operation suggestion beneficial to improvement is generated.
The foregoing describes a data processing method performed by a server in an embodiment of the present application, and the following describes a data processing apparatus.
As shown in fig. 5, an apparatus 500 for data processing provided in an embodiment of the present application includes: an information acquisition module 510, an information analysis module 520, and an analysis result providing module 530.
An embodiment of the present application provides an apparatus 500 for data processing, including: the information obtaining module 510 is configured to obtain service information uploaded by at least one smart device, where the at least one smart device includes a robot, a smart landline phone, a smart phone, and an intercom, and the service information represents interaction information generated during a process of serving a customer.
An information analysis module 520 configured to statistically set a target of interest of the customer within a time period according to the service information.
An analysis result providing module 530 configured to display the analysis result and provide the object of interest.
In one embodiment of the application, the service information comprises delivered object data uploaded by the robot, wherein the delivered object data comprises delivered object task data and/or delivered object data; the information analysis module 520 is further configured to: carrying out statistical analysis according to the delivery data to obtain interested articles and/or interested services of the client; the analysis result providing module 530 is further configured to: providing the customer's items of interest and/or services of interest.
In one embodiment of the present application, the delivery data includes the delivery task data and the delivery item data; the information analysis module 520 is further configured to: performing fusion statistical analysis according to the delivery task data and the delivery article data in the set time period to obtain the ranking of the interested target; the analysis result providing module 530 is further configured to: providing the target of interest ranking.
In one embodiment of the application, the service information includes sales data uploaded by the smart phone; the information analysis module 520 is further configured to: performing statistical analysis according to the sales data in the set time period to obtain consumption habit data of the customer; the analysis result providing module 530 is further configured to: and providing the consumption habit data of the client.
In one embodiment of the application, the service information includes call data uploaded by the smart landline; the information analysis module 520 is further configured to: performing statistical analysis according to the call data in the set time period to obtain the interested articles of the client; the analysis result providing module 530 is further configured to: providing the customer's item of interest.
In one embodiment of the present application, the service information includes an audio file uploaded by the intercom; the information analysis module 520 is further configured to: carrying out voice processing on the audio file in the set time interval to obtain voice information; performing statistical analysis according to the voice information to obtain the state of the interested service; the analysis result providing module 530 is further configured to: providing a status of the service of interest; or, controlling the interested service to receive or close according to the state of the interested service.
In the embodiment of the present application, the module shown in fig. 5 can implement corresponding processes in the method embodiments of fig. 1, fig. 2, fig. 3, and fig. 4. The operations and/or functions of the respective modules in fig. 5 are respectively for implementing the corresponding flows in the method embodiments in fig. 1, 2, 3 and 4. Reference may be made specifically to the description of the above method embodiments, and a detailed description is appropriately omitted herein to avoid redundancy.
As shown in fig. 6, an embodiment of the present application provides an electronic device 600, including: a processor 610, a memory 620 and a bus 630, wherein the processor is connected to the memory through the bus, the memory stores computer readable instructions, when the computer readable instructions are executed by the processor, for implementing the method according to any one of the above embodiments, specifically, the description of the above embodiments of the method can be referred to, and the detailed description is omitted here to avoid repetition.
Wherein the bus is used for realizing direct connection communication of the components. The processor in the embodiment of the present application may be an integrated circuit chip having signal processing capability. The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The Memory may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Read Only Memory (EPROM), an electrically Erasable Read Only Memory (EEPROM), and the like. The memory stores computer readable instructions that, when executed by the processor, perform the methods described in the embodiments above.
It will be appreciated that the configuration shown in fig. 6 is merely illustrative and may include more or fewer components than shown in fig. 6 or have a different configuration than shown in fig. 6. The components shown in fig. 6 may be implemented in hardware, software, or a combination thereof.
Embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a server, the method in any of the above-mentioned all embodiments is implemented, which may specifically refer to the description in the above-mentioned method embodiments, and in order to avoid repetition, detailed description is appropriately omitted here.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method of data processing, the method comprising:
the method comprises the steps that service information uploaded by at least one intelligent device is obtained, wherein the at least one intelligent device comprises at least one of a robot, an intelligent landline phone, an intelligent mobile phone and an interphone, and the service information represents interactive information generated in the process of serving a customer;
counting interested targets of the clients in a set time period according to the service information;
providing the object of interest.
2. The method of claim 1, wherein the service information includes delivery data uploaded by the robot, wherein the delivery data includes delivery task data or delivery item data;
the target of interest of the client in a set time period according to the service information statistics comprises the following steps:
counting according to the delivered article data to obtain the interested articles of the client; or, counting according to the delivery task data to obtain the interested service of the client;
the providing the object of interest comprises:
providing the item of interest or the service of interest.
3. The method of claim 1, wherein the service information includes delivery data uploaded by the robot, wherein the delivery data includes delivery task data and delivery item data;
the target of interest of the client in a set time period according to the service information statistics comprises the following steps:
performing fusion statistics according to the delivery task data and the delivery article data in the set time period to obtain the ranking of the interested target;
the providing the object of interest comprises:
providing the target of interest ranking.
4. The method of claim 1, wherein the service information comprises sales data uploaded by the smartphone;
the target of interest of the client in a set time period according to the service information statistics comprises the following steps:
counting according to the sales data in the set time period to obtain consumption habit data of the client;
the providing the object of interest comprises:
and providing the consumption habit data of the client.
5. The method of claim 1, wherein the service information comprises call data uploaded by the smart landline;
the target of interest of the client in a set time period according to the service information statistics comprises the following steps:
counting according to the call data in the set time period to obtain the interested articles of the client;
the providing the object of interest comprises:
providing the customer's item of interest.
6. The method of claim 1, wherein the service information comprises an audio file uploaded by the intercom;
the target of interest of the client in a set time period according to the service information statistics comprises the following steps:
carrying out voice processing on the audio file in the set time interval to obtain voice information;
counting according to the voice information to obtain the state of the interested service;
the providing the object of interest comprises: providing a status of the service of interest; or, controlling the interested service to receive or close according to the state of the interested service.
7. A system for data processing, the system comprising:
a server configured to perform the method of any one of claims 1-6;
at least one smart device configured to upload service information to the server, wherein the at least one smart device comprises: at least one of a robot, a smart landline, a smart phone, and an intercom.
8. An apparatus for data processing, the apparatus comprising:
the information acquisition module is configured to acquire service information uploaded by at least one intelligent device, wherein the at least one intelligent device comprises at least one of a robot, an intelligent landline telephone, a smart phone and an interphone, and the service information represents interactive information generated in the process of serving a customer;
the information analysis module is configured to statistically set an interest target of the client within a time period according to the service information;
an analysis result providing module configured to display the analysis result, providing the object of interest.
9. An electronic device, comprising: a processor, a memory, and a bus;
the processor is connected to the memory via the bus, the memory storing computer readable instructions for implementing the method of any one of claims 1-6 when the computer readable instructions are executed by the processor.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed, implements the method of any of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110751229.9A CN113344746A (en) | 2021-07-02 | 2021-07-02 | Data processing method, system, device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110751229.9A CN113344746A (en) | 2021-07-02 | 2021-07-02 | Data processing method, system, device, electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113344746A true CN113344746A (en) | 2021-09-03 |
Family
ID=77482359
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110751229.9A Pending CN113344746A (en) | 2021-07-02 | 2021-07-02 | Data processing method, system, device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113344746A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114782221A (en) * | 2022-06-22 | 2022-07-22 | 北京云迹科技股份有限公司 | Hotel guest room service management system |
-
2021
- 2021-07-02 CN CN202110751229.9A patent/CN113344746A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114782221A (en) * | 2022-06-22 | 2022-07-22 | 北京云迹科技股份有限公司 | Hotel guest room service management system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107341743B (en) | Takeout management system | |
| CN102855572B (en) | Mobile interactive mode is ordered positioning service system and method | |
| US11010802B2 (en) | Real-time internet capable device information interchange for coordinated queuing at locations | |
| CN112242940B (en) | Intelligent management system and management method for food in bins | |
| US20080217404A1 (en) | System and method for demand driven collaborative procurement, logistics, and authenticity establishment of luxury commodities using virtual inventories | |
| US11636556B2 (en) | Systems and methods for generating and updating dynamic digital tickets within a digital board | |
| US11663646B2 (en) | System and a method for facilitating the provision of goods | |
| CN105761131A (en) | Commodity trading system and commodity trading method | |
| CN105847020A (en) | Message pushing method and device | |
| CN102609826A (en) | Logistics distribution system and method | |
| CN102231175A (en) | Restaurant information control system and restaurant information processing method | |
| CN202373029U (en) | Commodity circulation tracing system | |
| CN111340600A (en) | Intelligent marketing management system and method based on VR/AR mobile mall | |
| CN106934686A (en) | A kind of self-service method and system for placing an order | |
| WO2021129531A1 (en) | Resource allocation method, apparatus, device, storage medium and computer program | |
| CN113344746A (en) | Data processing method, system, device, electronic equipment and storage medium | |
| CN113869657A (en) | Catering industry intelligent management system and method based on big data | |
| CN112734485A (en) | User intelligent operation system | |
| CN113313517A (en) | Short video advertisement putting method and system based on big data | |
| CN109389754A (en) | Loose coffee automatic vending system and method based on Internet of Things information dissemination technology | |
| WO2015080632A1 (en) | Method for presenting individual advertising and price information in a shop | |
| US20130054388A1 (en) | Commerce and inventory control system and a method for conducting commerce | |
| TW202319988A (en) | Systems and methods for generating a personalized advertisement | |
| RU114802U1 (en) | REMOTE SALES SYSTEM | |
| KR20170082421A (en) | Method and system for managing expiration date |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: Room 702, 7 / F, 67 North Fourth Ring Road West, Haidian District, Beijing Applicant after: Beijing Yunji Technology Co.,Ltd. Address before: Room 702, 7 / F, 67 North Fourth Ring Road West, Haidian District, Beijing Applicant before: BEIJING YUNJI TECHNOLOGY Co.,Ltd. |
|
| CB02 | Change of applicant information |