CN104299175A - Mobile phone intelligent ordering system - Google Patents
Mobile phone intelligent ordering system Download PDFInfo
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- CN104299175A CN104299175A CN201410502705.3A CN201410502705A CN104299175A CN 104299175 A CN104299175 A CN 104299175A CN 201410502705 A CN201410502705 A CN 201410502705A CN 104299175 A CN104299175 A CN 104299175A
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- 235000012054 meals Nutrition 0.000 claims abstract description 18
- 235000013311 vegetables Nutrition 0.000 claims description 45
- 230000005540 biological transmission Effects 0.000 claims description 33
- 230000000694 effects Effects 0.000 abstract description 4
- 235000013305 food Nutrition 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 3
- 239000002253 acid Substances 0.000 description 2
- 235000009508 confectionery Nutrition 0.000 description 2
- 239000006002 Pepper Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 235000021268 hot food Nutrition 0.000 description 1
Classifications
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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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/12—Hotels or restaurants
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- Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a mobile phone intelligent ordering system. The mobile phone intelligent ordering system comprises a server terminal, a restaurant client terminal and a mobile phone client terminal used by an ordering customer. The server terminal is in communication with the restaurant client terminal and the mobile phone client terminal through a WEB, and ordering APPs are installed at the server terminal and the restaurant client terminal. The mobile phone client terminal sends ordering information to the server terminal and then sends the ordering information to the corresponding restaurant client terminal which is informed of meal preparation. The server terminal further comprises a recommendation information sending unit used for sending recommendation information to the mobile phone client terminal, and recommendation information sending involves random sending, broadcast sending, timing sending and optional sending based on an intelligent consumption habit algorithm and result. After the customer orders food through the mobile phone client terminal, recommendation information can be sent intelligently and optionally according to original ordering records of the customer, so that the customer who dines is facilitated, the activity promotion efficiency and pertinence of a restaurant are improved, and accordingly the amount of sales of the restaurant is greatly improved.
Description
Technical field
The present invention relates to a kind of electronic ordering system, particularly relate to a kind of handheld device meal ordering system.
Background technology
The meal ordering system that current restaurant generally uses is the machine for ordering dishes of restaurant attendant's hand-held, it cannot obtain guest's information, None-identified frequent visitor, simultaneously do not reduce order too much workload and staff compared with traditional paper pen yet, cannot according to the transmission recommendation information of the passing consumer record intelligence of guest.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, a kind of cell phone intelligent meal ordering system simultaneously facilitating guest and restaurant is provided.
The present invention is by the following technical solutions:
A kind of cell phone intelligent meal ordering system, described system comprises server end, restaurant client and the guest that orders cell-phone customer terminal used, the communication of described server end and restaurant client, cell-phone customer terminal is carried out with http protocol by WEB, and described server end and restaurant client are provided with APP program; The information of ordering is sent to server end and then transfers to corresponding restaurant client notice and prepare for a meal by cell-phone customer terminal; Described server end also comprises the recommendation information transmitting element sending recommendation information to described cell-phone customer terminal, the transmission of described recommendation information comprises random transmission, broadcast transmission, timed sending, sends based on the selectivity of intelligent consumption custom algorithm and result, and the combination of this several transmission form; Described intelligent consumption custom algorithm and result comprise:
Cell-phone customer terminal sample taste algorithm and result: each cuisine is set the taste factor of multiple band strength index by described server end, the value computing that the intensity index value of each taste factor of each cuisine of ordering passing for each cell-phone customer terminal is averaged of described server end obtains the sample taste of each cell-phone customer terminal;
Cell-phone customer terminal average consumption power algorithm and result: the value computing that the price of each cuisine of ordering passing for each cell-phone customer terminal is averaged of described server end obtains the average consumption power of each cell-phone customer terminal;
Cell-phone customer terminal emphasis consumption day algorithm and result: each cell-phone customer terminal is specifically ordered at every turn carried out number of times by the date in week and add up by described server end, draws the date that consumption frequency is the highest.
Further, the sample taste that described selectivity is sent as based on described cell-phone customer terminal carries out the transmission of vegetable taste selectivity to cell-phone customer terminal, be specially: the vegetable close with the value of sample taste is sent to cell-phone customer terminal by recommendation information transmitting element, and the vegetable do not selected before preferential transmission cell-phone customer terminal.
Further, the average consumption power that described selectivity is sent as based on described cell-phone customer terminal carries out the transmission of vegetable price selectivity to cell-phone customer terminal, be specially: the vegetable close with average consumption force value is sent to cell-phone customer terminal by recommendation information transmitting element, and the vegetable do not selected before preferential transmission cell-phone customer terminal.
Further, the emphasis consumption day that described selectivity is sent as based on described cell-phone customer terminal carries out time Object Selection transmission to cell-phone customer terminal, be specially: the emphasis consumption day scanning all cell-phone customer terminals, and send recommendation information by recommendation information transmitting element to corresponding cell-phone customer terminal in described emphasis consumption a few days ago.
Further, the sample taste that described selectivity is sent as based on described cell-phone customer terminal carries out the transmission of new vegetable taste Object Selection to cell-phone customer terminal, be specially: select cell-phone customer terminal sample taste corresponding to close with the taste value of new vegetable, by recommendation information transmitting element to the recommendation information being sent new vegetable by the cell-phone customer terminal selected.
Further, described selectivity transmission comprises the transmission of vegetable taste selectivity, vegetable price selectivity sends, time Object Selection sends, new vegetable taste Object Selection transmission, and the combination of these four kinds of selectivity transmission forms.
Beneficial effect of the present invention: guest opens APP system, obtains contact with server end, restaurant client and server just can know the essential information of guest.Guest is by cell-phone customer terminal point after the meal, cell phone intelligent meal ordering system of the present invention can be passing according to guest information of ordering record, intelligence, optionally send recommendation information, namely the guest had dinner is facilitated, turn improve efficiency and the specific aim of dining room popularization activity, and then increase substantially the sales volume in dining room.
Accompanying drawing explanation
Fig. 1 is communication network schematic diagram of the present invention.
Fig. 2 is mission flow diagram of ordering of the present invention.
Fig. 3 is that the recommendation information selectivity of the embodiment of the present invention sends schematic diagram.
Embodiment
Below by specific embodiment, the present invention will be further described.A kind of cell phone intelligent meal ordering system, as shown in figure 1 and 2, described system comprises server end, restaurant client and the guest that orders cell-phone customer terminal used, the communication of described server end and restaurant client, cell-phone customer terminal is carried out with http protocol by WEB, and described server end and restaurant client are provided with APP program, the information of ordering is sent to server end and then transfers to corresponding restaurant client notice and prepare for a meal by cell-phone customer terminal, described server end also comprises the recommendation information transmitting element sending recommendation information to described cell-phone customer terminal, the transmission of described recommendation information comprises random choose cell-phone customer terminal and the random transmission of random choose ad-delivery content, for the broadcast transmission of all cell-phone customer terminals when having a favor information, festivals or holidays proxima luce (prox. luc) fixed time broadcast send up-to-date preferential promotion message, the vegetable taste selectivity that the transmission of described recommendation information also comprises based on intelligent consumption custom algorithm and result sends, vegetable price selectivity sends, time Object Selection sends, taste Object Selection sends, the vegetable taste that the above two combine, price combination selectivity sends, and the rear new vegetable taste object that both combine, time object composition selectivity sends, as shown in Figure 3.Described intelligent consumption custom algorithm and result comprise three kinds, are specially:
Cell-phone customer terminal sample taste algorithm and result: described server end is by sour, peppery, sweet for three taste factors of each cuisine setting band strength integral indices 0 to 3, and the value computing that the intensity index value of each taste factor of each cuisine of ordering passing for each cell-phone customer terminal is averaged of described server end obtains the sample taste of each cell-phone customer terminal;
Cell-phone customer terminal average consumption power algorithm and result: the value computing that the price of each cuisine of ordering passing for each cell-phone customer terminal is averaged of described server end obtains the average consumption power of each cell-phone customer terminal;
Cell-phone customer terminal emphasis consumption day algorithm and result: each cell-phone customer terminal is specifically ordered at every turn carried out number of times by the date in week and add up by described server end, draws the date that consumption frequency is the highest.
Described vegetable taste selectivity sends and is specially: sent to cell-phone customer terminal by recommendation information transmitting element by the vegetable close with the value of sample taste, and preferential send cell-phone customer terminal before the vegetable do not selected, make the guest had dinner can receive recommendation dish information for its taste like this.It is sweet that sample taste as passing in guest is vinegar-pepper is 1,2,0.5 respectively, then its mobile phone will receive the recommendation of inclined hot food.
Described vegetable price selectivity sends and is specially: sent to cell-phone customer terminal by recommendation information transmitting element by the vegetable close with average consumption force value, and the vegetable do not selected before preferential transmission cell-phone customer terminal.Make the guest had dinner can receive recommendation dish information for its consumptive power like this.
Described time Object Selection sends and is specially: the emphasis consumption day scanning all cell-phone customer terminals, and sends recommendation information by recommendation information transmitting element to corresponding cell-phone customer terminal in described emphasis consumption a few days ago.Such as first cell-phone customer terminal is maximum at the consumption number of times of Thursday, be then the dining room that lead referral does popularization activity Thursday in evening Wednesday; Second cell-phone customer terminal is maximum at the consumption number of times of Saturday, be then the dining room that lead referral does popularization activity Saturday in evening Friday.
Described taste Object Selection sends and is specially: select cell-phone customer terminal sample taste corresponding to close with the taste value of new vegetable, by recommendation information transmitting element to the recommendation information being sent new vegetable by the cell-phone customer terminal selected.If new vegetable is meta-acid, then can search out the list of the cell-phone customer terminal of taste value meta-acid and send the recommendation information of new vegetable to these selected cell-phone customer terminals.
Not only described vegetable taste, price combination selectivity sends, and it be that vegetable taste selectivity sends, the combination of vegetable price selectivity transmission, namely makes the guest had dinner to receive to meet its taste and but also meets the recommendation dish information of its price grade.
Described new vegetable taste object, time object composition selectivity send, it is the combination that new vegetable taste Object Selection sends and time Object Selection sends, namely, after finding the target mobile phones client side list of new vegetable, this new vegetable recommendation information is sent in the previous day of one day that each target mobile phones client consumption number of times is maximum.
Claims (6)
1. a cell phone intelligent meal ordering system, it is characterized in that: described system comprises server end, restaurant client and the guest that orders cell-phone customer terminal used, the communication of described server end and restaurant client, cell-phone customer terminal is carried out with http protocol by WEB, and described server end and restaurant client are provided with APP program; The information of ordering is sent to server end and then transfers to corresponding restaurant client notice and prepare for a meal by cell-phone customer terminal; Described server end also comprises the recommendation information transmitting element sending recommendation information to described cell-phone customer terminal, the transmission of described recommendation information comprises random transmission, broadcast transmission, timed sending, sends based on the selectivity of intelligent consumption custom algorithm and result, and the combination of this several transmission form; Described intelligent consumption custom algorithm and result comprise:
Cell-phone customer terminal sample taste algorithm and result: each cuisine is set the taste factor of multiple band strength index by described server end, the value computing that the intensity index value of each taste factor of each cuisine of ordering passing for each cell-phone customer terminal is averaged of described server end obtains the sample taste of each cell-phone customer terminal;
Cell-phone customer terminal average consumption power algorithm and result: the value computing that is averaged of each cuisine of ordering passing for each cell-phone customer terminal is obtained the average consumption power of each cell-phone customer terminal by described server end;
Cell-phone customer terminal emphasis consumption day algorithm and result: each cell-phone customer terminal is specifically ordered at every turn carried out number of times by the date in week and add up by described server end, draws the date that consumption frequency is the highest.
2. cell phone intelligent meal ordering system according to claim 1, it is characterized in that: the sample taste that described selectivity is sent as based on described cell-phone customer terminal carries out the transmission of vegetable taste selectivity to cell-phone customer terminal, be specially: the vegetable close with the value of sample taste is sent to cell-phone customer terminal by recommendation information transmitting element, and the vegetable do not selected before preferential transmission cell-phone customer terminal.
3. cell phone intelligent meal ordering system according to claim 1, it is characterized in that: the average consumption power that described selectivity is sent as based on described cell-phone customer terminal carries out the transmission of vegetable price selectivity to cell-phone customer terminal, be specially: the vegetable close with average consumption force value is sent to cell-phone customer terminal by recommendation information transmitting element, and the vegetable do not selected before preferential transmission cell-phone customer terminal.
4. cell phone intelligent meal ordering system according to claim 1, it is characterized in that: the emphasis consumption day that described selectivity is sent as based on described cell-phone customer terminal carries out time Object Selection transmission to cell-phone customer terminal, be specially: the emphasis consumption day scanning all cell-phone customer terminals, and send recommendation information by recommendation information transmitting element to corresponding cell-phone customer terminal in described emphasis consumption a few days ago.
5. cell phone intelligent meal ordering system according to claim 1, it is characterized in that: the sample taste that described selectivity is sent as based on described cell-phone customer terminal carries out the transmission of new vegetable taste Object Selection to cell-phone customer terminal, be specially: select cell-phone customer terminal sample taste corresponding to close with the taste value of new vegetable, by recommendation information transmitting element to the recommendation information being sent new vegetable by the cell-phone customer terminal selected.
6. cell phone intelligent meal ordering system according to claim 1, it is characterized in that: the vegetable taste selectivity that described selectivity transmission comprises claim 2 sends, the vegetable price selectivity of claim 3 sends, the time Object Selection of claim 4 sends, the new vegetable taste Object Selection of claim 5 sends, and the combination of these four kinds of selectivity transmission forms.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410502705.3A CN104299175A (en) | 2014-09-26 | 2014-09-26 | Mobile phone intelligent ordering system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410502705.3A CN104299175A (en) | 2014-09-26 | 2014-09-26 | Mobile phone intelligent ordering system |
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| CN104299175A true CN104299175A (en) | 2015-01-21 |
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| CN201410502705.3A Pending CN104299175A (en) | 2014-09-26 | 2014-09-26 | Mobile phone intelligent ordering system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106022873A (en) * | 2016-05-17 | 2016-10-12 | 暨南大学 | Self-service dish-ordering system based on augmented reality |
| CN106097171A (en) * | 2016-06-13 | 2016-11-09 | 深圳市嘀讯科技有限公司 | A kind of Self-help ordering method and system based on cell-phone customer terminal |
| CN106327681A (en) * | 2015-06-19 | 2017-01-11 | 昆达电脑科技(昆山)有限公司 | Point of sales device and point of sales system |
| CN109804402A (en) * | 2016-10-20 | 2019-05-24 | 株式会社咕嘟妈咪 | Information processing system, information processing method and the non-transient computer readable storage medium for storing program |
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| CN103646363A (en) * | 2013-11-14 | 2014-03-19 | 成都博约创信科技有限责任公司 | Food ordering system based on android system |
| CN103714227A (en) * | 2012-10-08 | 2014-04-09 | 上海赤炫信息科技有限公司 | Implementation method for selecting tastes of dishes in electronic menu |
| CN104021506A (en) * | 2014-06-24 | 2014-09-03 | 河海大学常州校区 | Intelligent restaurant ordering management system and intelligent restaurant ordering management method based on human face recognition technology |
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2014
- 2014-09-26 CN CN201410502705.3A patent/CN104299175A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103714227A (en) * | 2012-10-08 | 2014-04-09 | 上海赤炫信息科技有限公司 | Implementation method for selecting tastes of dishes in electronic menu |
| CN103646363A (en) * | 2013-11-14 | 2014-03-19 | 成都博约创信科技有限责任公司 | Food ordering system based on android system |
| CN104021506A (en) * | 2014-06-24 | 2014-09-03 | 河海大学常州校区 | Intelligent restaurant ordering management system and intelligent restaurant ordering management method based on human face recognition technology |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106327681A (en) * | 2015-06-19 | 2017-01-11 | 昆达电脑科技(昆山)有限公司 | Point of sales device and point of sales system |
| CN106327681B (en) * | 2015-06-19 | 2019-03-01 | 昆达电脑科技(昆山)有限公司 | Point of sale device and point of sales system |
| CN106022873A (en) * | 2016-05-17 | 2016-10-12 | 暨南大学 | Self-service dish-ordering system based on augmented reality |
| CN106097171A (en) * | 2016-06-13 | 2016-11-09 | 深圳市嘀讯科技有限公司 | A kind of Self-help ordering method and system based on cell-phone customer terminal |
| CN109804402A (en) * | 2016-10-20 | 2019-05-24 | 株式会社咕嘟妈咪 | Information processing system, information processing method and the non-transient computer readable storage medium for storing program |
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Application publication date: 20150121 |