CN108062666A - Intelligent cashier system and method - Google Patents
Intelligent cashier system and method Download PDFInfo
- Publication number
- CN108062666A CN108062666A CN201610985632.7A CN201610985632A CN108062666A CN 108062666 A CN108062666 A CN 108062666A CN 201610985632 A CN201610985632 A CN 201610985632A CN 108062666 A CN108062666 A CN 108062666A
- Authority
- CN
- China
- Prior art keywords
- commodity
- information
- sale
- cash register
- knowledge
- 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
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
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/08—Payment architectures
- G06Q20/20—Point-of-sale [POS] network systems
- G06Q20/208—Input by product or record sensing, e.g. weighing or scanner processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
-
- 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
- G06Q20/201—Price look-up processing, e.g. updating
-
- 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
Abstract
The present invention provides a kind of intelligent cashier system and method, which includes：Unit is excavated, is configured to obtain historic sales data, and excavation study is carried out to historic sales data according to preset rules, is sold with generation and recommends knowledge；Recommend retrieval unit, be configured to according to sale knowledge and trade context information be recommended to carry out query analysis to commodity information database to generate the alternative inventory of commodity；Cash register unit is configured to obtain trade context information, the alternative inventory of display of commodity in cash register operation interface, cashier to be prompted to input trade context information or completes cash register according to the alternative inventory of commodity.The present invention to historic sales data by carrying out excavating study to generate the sale recommendation knowledge that nonproductive poll is analyzed, effectively increase the accuracy rate of merchandise query, so as to which cash register operation be greatly decreased, cash register efficiency is improved, has many advantages, such as that operation is simple, efficient, applied widely.
Description
Technical field
This application involves cash register technical fields, and in particular to a kind of intelligent cashier system and method.
Background technology
At present, in enterprise SaaS application software during cash register, three kinds of schemes below typing commodity method generally use are wherein
A kind of scheme or the compound scheme of two of which/tri- kind：
For commodity unique number, the typing of cashier's direct keyboard or barcode scanning typing goods number；
By classified catalogue and list browse selection commodity；
Typing partial information inquiry selection commodity.
The defects of first kind scheme, is that inputting number by cashier needs cashier to remember excessive content, and commodity are more
When will result in inconvenience, influence cash register efficiency；And barcode scanning typing number may be only available for class commodity in kind, all items stick system
The scene of one standard code, and enterprise procurement barcode scanning equipment is needed, cost is higher, is widely used at present in retail supermarket,
But the trade company of other many service for life classes does not possess the hardware condition of above-mentioned realization barcode scanning typing number usually；
The defects of second class and three classes scheme, is, needs to perform substantial amounts of click, keyboard typing, number during cash register
According to operations such as browsing, information inquiries, these operations need to expend very more time, cause cash register inefficiency.
The content of the invention
In view of drawbacks described above of the prior art or deficiency, are intended to provide one kind and are not only restricted to the type of merchandise, need not increase
Equipment, you can improve the intelligent cashier system and method for cash register efficiency by reducing cash register operation.
In a first aspect, the present invention provides a kind of intelligent cashier system, which includes excavating unit, recommends retrieval single
Member and cash register unit.
It excavates unit to be configured to obtain historic sales data, and historic sales data is carried out according to preset rules
Study is excavated, is sold with generation and recommends knowledge.
Retrieval unit is recommended to be configured to according to sale knowledge and trade context information be recommended to carry out commodity information database
Query analysis is to generate the alternative inventory of commodity.
Cash register unit be configured to obtain trade context information, the alternative inventory of display of commodity in cash register operation interface,
Cashier to be prompted to input trade context information or completes cash register according to the alternative inventory of commodity.
Second aspect, the present invention provide a kind of intelligent cashier method, and this method includes：
Historic sales data is obtained, and excavation study is carried out to historic sales data according to preset rules, to generate sale
Recommend knowledge；
Trade context information is obtained, and according to sale knowledge and trade context information is recommended to carry out commodity information database
Query analysis is to generate the alternative inventory of commodity；
The alternative inventory of display of commodity in cash register operation interface, with prompt cashier input trade context information or according to
The alternative inventory of commodity completes cash register.
The third aspect, the present invention also provides a kind of equipment, including one or more processors and memory, wherein memory
Comprising the instruction that can be performed by one or more of processors so that one or more of processors are performed according to this hair
The intelligent cashier method that bright each embodiment provides.
Fourth aspect, the present invention also provides a kind of computer readable storage medium for being stored with computer program, the calculating
Machine program makes computer perform the intelligent cashier method that each embodiment provides according to the present invention.
The intelligent cashier system and method that many embodiments of the present invention provide to historic sales data by carrying out excavation
Knowledge is recommended in the sale for practising generating nonproductive poll analysis, is effectively increased inquiring information of goods storehouse and is generated the alternative inventory of commodity
Accuracy rate, so as to be greatly reduced in the cash register course of work to operations such as the lookups, selection, typing of commodity, improve cash register
Efficiency；All kinds of scenes and commodity are generally applicable to simultaneously, therefore have many advantages, such as that operation is simple, efficient, applied widely；
Some embodiments of the invention provide intelligent cashier system and method further by periodically carry out excavate study with
Ensure that the timeliness and accuracy of knowledge are recommended in sale, so as to maintain efficient cash register efficiency；
The intelligent cashier system and method that some embodiments of the invention provide are further by default weight rule to commodity
Each alternative commodity in alternative inventory are ranked up, with reduce the alternative inventory of commodity it is longer when browsing time cost and related grasp
Make.
Description of the drawings
By reading the detailed description made to non-limiting example made with reference to the following drawings, the application's is other
Feature, objects and advantages will become more apparent upon：
Fig. 1 is the structure diagram of intelligent cashier system in one embodiment of the invention.
Fig. 2 is the schematic diagram at cash register operation interface in one embodiment of the invention.
Fig. 3 is the structure diagram of intelligent cashier system in one embodiment of the present invention.
Fig. 4 is the flow chart of intelligent cashier method in one embodiment of the invention.
Fig. 5 be method shown in Fig. 4 a kind of preferred embodiment in step S40 flow chart.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention rather than the restriction to the invention.It also should be noted that in order to
Convenient for description, illustrated only in attached drawing with inventing relevant part.
It should be noted that in the case where there is no conflict, the feature in embodiment and embodiment in the application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 is the structure diagram of intelligent cashier system in one embodiment of the invention.
As shown in Figure 1, in the present embodiment, intelligent cashier system 10 provided by the invention include excavating unit 11,
Recommend retrieval unit 13 and cash register unit 15.
Specifically, in the present embodiment, intelligent cashier system 10 uses SaaS frameworks, excavates unit 11 and recommends to examine
For cable elements 13 to be deployed in software program in Cloud Server, cash register unit 15 is cash register of the configuration in trade company local, passes through net
Network is communicated to connect with Cloud Server.Commodity information database 20 is the database being equally deployed in Cloud Server, for storing each business
The merchandise news of each commodity of family supply sale and sale relevant information, such as sales promotion information etc..
In some embodiments, excavate unit 11 and recommend one or two in retrieval unit 13 to be integrated in cash register
In machine.
In another embodiment, excavate unit 11 and retrieval unit 13 is recommended to be deployed in the calculating being connected with cash register
In machine.
In another embodiment, excavate unit 11 and retrieval unit 13 is recommended to be arranged to be deployed in local and cash register
Machine connects, and is exclusively used in excavating the hardware unit of study and query analysis.
In any of the above-described embodiment, cash register unit 15 can be also arranged to configure the software program in cash register.
In more embodiments, unit 11 can will be also excavated according to actual demand, recommends retrieval unit 13 and cash register
Unit 15 is arranged to more various forms of softwares or hardware is disposed, as long as above-mentioned various functions can be realized respectively, you can
Realize identical technique effect.
Excavate unit 11 be configured to obtain historic sales data, and according to preset rules to historic sales data into
Row excavates study, is sold with generation and recommends knowledge.
Specifically, the excavation unit 11 being deployed in Cloud Server is previously-completed pair before cashier carries out cash register
The excavation study of historic sales data, generates sale and recommends knowledge, for recommending retrieval unit 13 direct during cash register
Obtain sale recommend knowledge, without etc. study to be excavated.
Preferably, excavate unit 11 can timing or not timing carry out excavation study, to generate newest sale
Recommend knowledge, for example, daily, carry out per several days or weekly excavation study or, when the increment of historic sales data reaches certain
Excavation study is carried out during threshold value, etc..
Retrieval unit 13 is recommended to be communicated to connect with commodity information database 20, is configured to be recommended in knowledge and transaction according to sale
Context information carries out query analysis to generate the alternative inventory of commodity to commodity information database.
Specifically, after recommending the trade context information that retrieval unit 13 receives the transmission of cash register unit 15, learned from excavating
It practises unit 11 and obtains the sale recommendation knowledge previously generated, knowledge is recommended to merchandise news according to trade context information and sale
Storehouse is inquired about and comprehensive analysis, and the alternative inventory of generation commodity simultaneously returns to cash register unit 15.
Wherein, trade context information includes at least one of following：Retrieve information, consumer information, merchant information, current
Merchandise news is selected.
Preferably, retrieval unit 13 is recommended can also individually to be recommended when not receiving trade context information according to sale
Knowledge is inquired about by commodity information database and comprehensive analysis, and the alternative inventory of generation commodity is simultaneously sent to cash register unit 15.
Cash register unit 15 is configured to obtain trade context information, and display of commodity is alternatively clear in cash register operation interface
It is single, cashier to be prompted to input trade context information or completes cash register according to the alternative inventory of commodity.
Specifically, cash register unit 15 can be obtained by any one such as keyboard, mouse, scanning means or multinomial peripheral apparatus
Trade context information, which is simultaneously sent to, recommends retrieval unit 13, receives after the alternative inventory of commodity of return in cash register operation interface
It is shown：
If cashier can not be chosen by the alternative inventory of commodity and obtain all commodity for treating cash register, can further input
Trade context information；
If cashier obtains all commodity for treating cash register by the alternative inventory selection of commodity, can be by setting number
It measures, carry out the operation completion cash register such as settling accounts.
Above-described embodiment is effectively increased by excavate study to historic sales data to generate sale recommendation knowledge
Inquiring information of goods storehouse generates the accuracy rate of the alternative inventory of commodity, so as to be greatly reduced in the cash register course of work to commodity
The operations such as lookup, selection, typing, improve cash register efficiency；All kinds of scenes and commodity are generally applicable to simultaneously, therefore with operation
Simply, the advantages that efficient, applied widely；
And further can learn to ensure the timeliness and accuracy of selling recommendation knowledge by periodically carrying out excavating, so as to
Maintain efficient cash register efficiency.
In a preferred embodiment, historic sales data includes consumer history's consumption data and trade company's historical sales number
According to.
In a preferred embodiment, preset rules include at least one of following：
The sales volume of commodity is proportionate with sale probability.That is, the probability higher that the higher commodity of sales volume are bought by consumer,
Weight distribution ratio can be suitably adjusted in sales volume.
The sale probability of commodity sales promotion is more than non-commodity sales promotion.That is, the probability that commodity sales promotion is bought by consumer usually compared with
There are 5 sections of Discount Promotion commodity on height, such as the same day, then can be that this 5 sections of commodity suitably increase weight proportion.
The probability that the number of the same commodity of current consumer's buying buys the commodity with current consumer is proportionate.Example
Such as, the number of certain consumer's commodities purchased A is more, then the consumer buy again commodity A probability it is higher, work as trade context
Can be that commodity A suitably increases weight proportion when information includes the consumer.
The commodity that the buying pattern of current consumer includes are more than remaining commodity for the sale probability of current consumer.Its
In, buying pattern judges according to the historical consumption data of current consumer.For example, certain consumer every time can commodities purchased E, F,
Or every month can purchase a commodity G, etc. then can determine that the consumer, there are fixed buying patterns.Work as trade context
Can be to meet the commodity of buying pattern suitably to increase or decrease weight proportion, such as this month is still when information includes the consumer
Non- commodities purchased G then increases the weight proportion of commodity G, if commodities purchased G, reduces the weight proportion of commodity G.
The sale probability of commodity associated by current scene is more than remaining commodity.For example, three days after weather forecast are the rainy day,
Then it can suitably increase weight proportion for umbrella, the commodity of raincoat class.
The sale probability of commodity associated with the free choice of goods is more than remaining commodity.Specifically, some commodity while quilt
The probability of buying is higher, such as toothbrush and toothpaste, electric toothbrush and head toothbrushes etc., when trade context information includes having chosen business
During product electric toothbrush, then it can be that mating head toothbrushes commodity suitably increase weight proportion, and increase for other head toothbrushes commodity
A small amount of weight proportion.
Above-mentioned intelligent cashier system 10 is described in detail below by way of the cash register process example of a reality：
The 11 newest historic sales data of daily timing acquisition of unit is excavated, and according to preset rules to historical sales
Data carry out excavation study, are sold with generation and recommend knowledge.
Consumer's first is wanted to buy commodity A, B, C at trade company's second, and wherein commodity A and B is class commodity in kind, specifically respectively
For certain ceramic tile commodity and certain floor commodity, commodity C is Virtual Service class commodity, specially fits up service commodity.
Cash register unit 15 obtains the trade context information that cashier is inputted by peripheral apparatus, specifically includes the consumption of first
The merchant information of person's information and second and the retrieval information on commodity A, such as the first letter of pinyin " cz " or ceramic tile of ceramic tile
The first letter of pinyin of brand name or former positions of marque, etc..
Above-mentioned trade context information is sent to the recommendation retrieval unit in Cloud Server by cash register unit 15 by network
13, after retrieval unit 13 is recommended to receive trade context information, obtain and excavate the sale recommendation knowledge that unit 11 generates,
Commodity information database is inquired about according to trade context information and sale recommendation knowledge and comprehensive analysis, generation include several items
The alternative inventory of commodity of merchandise news simultaneously returns to cash register unit 15.
The alternative inventory of display of commodity in cash register operation interface of cash register unit 15, so that whether cashier's browsing has commodity A：
It selects to add in order if having, then inputs the retrieval information on commodity B；If no, modification is believed on the retrieval of commodity A
Breath.
Above-mentioned query analysis and the alternative inventory of display of commodity are cycled so that cashier browses the process of selection, until cashier
Commodity A, B, C are added in into order, are finally completed cash register.
Fig. 2 is the schematic diagram at cash register operation interface in examples detailed above.
As shown in Fig. 2, cashier inputs the brand first letter of pinyin of commodity B, cash register unit 15 is by consumer information, trade company
Information and retrieval information are sent to after retrieval unit 13 is recommended to carry out query analysis, and the commodity that return includes 4 commodity are alternatively clear
Single, cash register unit 15 is shown after receiving in the recommendation retrieval area at cash register operation interface.Cashier is in individual event editing area
It can be increased in the order that cash register assumes overall responsibility for area after quantity performed editor, increase is all to can be completed cash register after cash register commodity.
In a preferred embodiment, retrieval unit 13 is recommended further to be configured to be recommended in knowledge and transaction according to sale
Context information carries out commodity information database query analysis to screen several alternative commodity, and according to default weight rule to each standby
Commodity is selected to be ranked up, generate the alternative inventory of commodity.
Specifically, when the alternative commodity amount setting in the alternative inventory of commodity is less, such as when being preset as 5, cash register
Member can directly see all 5 alternative commodity in cash register operation interface, without being ranked up to each alternative commodity；And when alternative
When commodity amount setting is more, cashier may be rolled or the operations such as page turning, with the whole alternative commodity of browsing, at this time
It is ranked up by default weight rule, then can effectively reduce the operations such as rolling or page turning.
Above-described embodiment is further ranked up each alternative commodity in the alternative inventory of commodity by default weight rule,
With reduce the alternative inventory of commodity it is longer when browsing time cost and relevant operation.
In a preferred embodiment, the weight constraints item in weight rule is followed successively by from high to low by weight：Retrieval information,
Historical consumption data, sales promotion information, Sales Volume of Commodity information, the commodity association message of current consumer.
Wherein, sales promotion information and commodity association message are obtained from commodity information database, the historical consumption data of current consumer,
Sales Volume of Commodity information is obtained from historic sales data.
Specifically, in more embodiments, knowledge or different actual demands can also be recommended according to sale to every terms of information
Priority weights grade be adjusted or change the technique effect, it can be achieved that identical.
Fig. 3 is the structure diagram of intelligent cashier system in one embodiment of the present invention.
As shown in figure 3, in some preferred embodiments, intelligent cashier system 10 provided by the invention further includes data storage
Unit 17.Data storage cell 17 can include at least one of following according to actual demand configuration：
Sale database, for storing historic sales data.
Recommend knowledge base, recommend knowledge for storing to sell.
Commodity information database, for store commodity information and sale relevant information, such as sales promotion information, scene information, business
Product related information etc..
Fig. 4 is the flow chart of intelligent cashier method in one embodiment of the invention.Method can be applied to any of the above-described shown in Fig. 4
In the intelligent cashier system 10 that embodiment provides.
As shown in figure 4, in the present embodiment, intelligent cashier method provided by the invention includes：
S20：Historic sales data is obtained, and excavation study is carried out to historic sales data according to preset rules, with generation
Knowledge is recommended in sale；
S40：Trade context information is obtained, and knowledge and trade context information are recommended to commodity information database according to sale
Query analysis is carried out to generate the alternative inventory of commodity；
S60：The alternative inventory of display of commodity in cash register operation interface, with prompt cashier input trade context information or
Cash register is completed according to the alternative inventory of commodity.
As mentioned before, step S20 is happened at before cash register process, can timing or sporadically performed.It receives
When silver-colored member carries out cash register, performed by single or circulation step S40 and S60 complete cash register.
Fig. 5 be method shown in Fig. 4 a kind of preferred embodiment in step S40 flow chart.
As shown in figure 5, in a preferred embodiment, step S40 includes：
S41：Obtain trade context information；
S43：If according to sale knowledge and trade context information is recommended to carry out query analysis to commodity information database to screen
Do alternative commodity；
S45：Each alternative commodity are ranked up according to default weight rule, generate the alternative inventory of commodity.
Flow chart and block diagram in attached drawing, it is illustrated that according to the system of various embodiments of the invention, method and computer journey
Architectural framework in the cards, function and the operation of sequence product.In this regard, each box in flow chart or block diagram can generation
The part of one module of table, program segment or code, a part for module, program segment or code are used for comprising one or more
The executable instruction of logic function as defined in realization.It should also be noted that it is marked at some as in the realization replaced in box
Function can also be different from the order marked in attached drawing generation.For example, two boxes succeedingly represented actually may be used
To perform substantially in parallel, they can also be performed in the opposite order sometimes, this is depending on involved function.Also to note
It anticipates, the combination of each box in block diagram and/or flow chart and the box in block diagram and/or flow chart can pass through
The dedicated hardware based system of functions or operations as defined in execution is realized or can be by specialized hardware and computer
The combination of instruction is realized.
Being described in unit or module involved in the embodiment of the present application can be realized by way of software, can also
It is realized by way of hardware.Described unit or module can also be set in the processor, for example, cash register unit 15 can
With the software program being provided in cash register or other cash registers or it is individually used for obtaining trade context letter
Breath, and the alternative inventory of the commodity is shown in cash register operation interface, cashier to be prompted to input trade context information or root
The hardware unit of cash register is completed according to the alternative inventory of the commodity.Wherein, the title of these units or module is under certain conditions simultaneously
The restriction in itself to the unit or module is not formed, for example, retrieval unit 13 is recommended to be also described as " query analysis list
Member ".
As on the other hand, present invention also provides a kind of equipment, including one or more processors and memory, and can
Further comprise it will be appreciated by those skilled in the art that other computer system components, such as display, all kinds of input and output
Equipment etc..Wherein include can be by one or more programs that one or more of processors perform so that described one for memory
A or multiple processors perform the intelligent cashier method that each embodiment provides according to the present invention.
As another aspect, present invention also provides a kind of computer readable storage medium, the computer-readable storage mediums
Matter can be computer readable storage medium included in device described in above-described embodiment；Can also be individualism, not
The computer readable storage medium being fitted into equipment.There are one computer-readable recording medium storages or more than one journey
Sequence, described program are used for performing the intelligent cashier method for being described in the application by one or more than one processor.
The preferred embodiment and the explanation to institute's application technology principle that above description is only the application.People in the art
Member should be appreciated that invention scope involved in the application, however it is not limited to the technology that the particular combination of above-mentioned technical characteristic forms
Scheme, while should also cover in the case where not departing from the inventive concept, it is carried out by above-mentioned technical characteristic or its equivalent feature
The other technical solutions for being combined and being formed.Such as features described above has similar work(with (but not limited to) disclosed herein
The technical solution that the technical characteristic of energy is replaced mutually and formed.
Claims (15)
1. a kind of intelligent cashier system, which is characterized in that the system comprises：
Excavate unit, be configured to obtain historic sales data, and according to preset rules to the historic sales data into
Row excavates study, is sold with generation and recommends knowledge；
Recommend retrieval unit, be configured to according to the sale knowledge and trade context information be recommended to carry out commodity information database
Query analysis is to generate the alternative inventory of commodity；
Cash register unit is configured to obtain trade context information, the alternative inventory of the commodity is shown in cash register operation interface,
Cashier to be prompted to input trade context information or completes cash register according to the alternative inventory of the commodity.
2. intelligent cashier system according to claim 1, which is characterized in that the historic sales data is gone through including consumer
History consumption data and trade company's historic sales data.
3. intelligent cashier system according to claim 2, which is characterized in that the preset rules include following at least one
：
The sales volume of commodity is proportionate with sale probability；
The sale probability of commodity sales promotion is more than non-commodity sales promotion；
The probability that the number of the same commodity of current consumer's buying buys the commodity with current consumer is proportionate；
The commodity that the buying pattern of current consumer includes are more than remaining commodity for the sale probability of current consumer；Wherein,
Buying pattern judges according to the historical consumption data of current consumer；
The sale probability of commodity associated by current scene is more than remaining commodity；
The sale probability of commodity associated with the free choice of goods is more than remaining commodity.
4. according to claim 1-3 any one of them intelligent cashier systems, which is characterized in that the unit of excavating is into one
Step is configured to timing acquisition historic sales data and carries out the excavation study.
5. according to claim 1-3 any one of them intelligent cashier systems, which is characterized in that the trade context packet
It includes at least one of following：Retrieval information, consumer information, have currently selected merchandise news at merchant information.
6. intelligent cashier system according to claim 5, which is characterized in that the recommendation retrieval unit further configures use
It is several to screen according to the sale knowledge and the trade context information being recommended to carry out query analysis to commodity information database
Alternative commodity are ranked up each alternative commodity according to default weight rule, generate the alternative inventory of commodity.
7. intelligent cashier system according to claim 6, which is characterized in that the weight constraints item in the weight rule is pressed
Weight is followed successively by from high to low：Retrieve information, the historical consumption data of current consumer, sales promotion information, Sales Volume of Commodity information, business
Product related information；
Wherein, the sales promotion information and commodity association message are obtained from the commodity information database, the history of the current consumer
Consumption data, Sales Volume of Commodity information are obtained from the historic sales data.
8. intelligent cashier system according to claim 1, which is characterized in that further include data storage cell, the data
Storage unit includes at least one of following：
Sale database, for storing the historic sales data；
Recommend knowledge base, recommend knowledge for storing the sale；
Commodity information database, for store commodity information and sale relevant information.
A kind of 9. intelligent cashier method, which is characterized in that the described method includes：
Historic sales data is obtained, and excavation study is carried out to the historic sales data according to preset rules, to generate sale
Recommend knowledge；
Trade context information is obtained, and knowledge and the trade context information are recommended to commodity information database according to the sale
Query analysis is carried out to generate the alternative inventory of commodity；
The alternative inventory of the commodity is shown in cash register operation interface, with prompt cashier input trade context information or according to
The alternative inventory of commodity completes cash register.
10. intelligent cashier method according to claim 9, which is characterized in that the historic sales data includes consumer
Historical consumption data and trade company's historic sales data.
11. intelligent cashier method according to claim 10, which is characterized in that the preset rules include following at least one
：
The sales volume of commodity is proportionate with sale probability；
The sale probability of commodity sales promotion is more than non-commodity sales promotion；
The probability that the number of the same commodity of current consumer's buying buys the commodity with current consumer is proportionate；
The commodity that the buying pattern of current consumer includes are more than remaining commodity for the sale probability of current consumer；Wherein,
Buying pattern judges according to the historical consumption data of current consumer；
The sale probability of commodity associated by current scene is more than remaining commodity；
The sale probability of commodity associated with the free choice of goods is more than remaining commodity.
12. the intelligent cashier method according to claim 10 or 11, which is characterized in that the trade context information includes
At least one of below：Retrieval information, consumer information, have currently selected merchandise news at merchant information.
13. intelligent cashier method according to claim 12, which is characterized in that the acquisition trade context information, and
According to the sale knowledge and the trade context information is recommended to carry out query analysis to commodity information database standby to generate commodity
Inventory is selected to include：
Obtain trade context information；
If according to the sale knowledge and the trade context information is recommended to carry out query analysis to commodity information database to screen
Do alternative commodity；
Each alternative commodity are ranked up according to default weight rule, generate the alternative inventory of commodity.
14. intelligent cashier method according to claim 13, which is characterized in that the weight constraints item in the weight rule
It is followed successively by from high to low by weight：Retrieve information, the historical consumption data of current consumer, sales promotion information, Sales Volume of Commodity information,
Commodity association message；
Wherein, the sales promotion information and commodity association message are obtained from the commodity information database, the history of the current consumer
Consumption data, Sales Volume of Commodity information are obtained from the historic sales data.
15. a kind of equipment, which is characterized in that the equipment includes：
One or more processors；
Memory, for storing one or more programs,
When one or more of programs are performed by one or more of processors so that one or more of processors
Perform the method as described in any in claim 9 to 14.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610985632.7A CN108062666A (en) | 2016-11-09 | 2016-11-09 | Intelligent cashier system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610985632.7A CN108062666A (en) | 2016-11-09 | 2016-11-09 | Intelligent cashier system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108062666A true CN108062666A (en) | 2018-05-22 |
Family
ID=62136919
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610985632.7A Pending CN108062666A (en) | 2016-11-09 | 2016-11-09 | Intelligent cashier system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108062666A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110428248A (en) * | 2019-08-05 | 2019-11-08 | 虞正权 | A kind of cash method for hairdressing |
| CN112053190A (en) * | 2020-09-02 | 2020-12-08 | 中国银行股份有限公司 | Stall data management method and device, storage medium and equipment |
| CN112860150A (en) * | 2021-03-30 | 2021-05-28 | 中国工商银行股份有限公司 | User page operation prompting method and device based on big data analysis |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102609860A (en) * | 2012-01-20 | 2012-07-25 | 彭立发 | Method and system suitable for categorizing and recommending e-commerce commodities and information |
| CN202711388U (en) * | 2012-07-20 | 2013-01-30 | 国民技术股份有限公司 | Self-service charging system |
| JP2013246813A (en) * | 2012-08-22 | 2013-12-09 | Net Piloting Inc | Sales data management server, sales data management system, sales data management program, and sales data management method |
| CN104881802A (en) * | 2015-06-26 | 2015-09-02 | 深圳市华阳信通科技发展有限公司 | Intelligent device and goods association recommendation method thereof |
| CN105897908A (en) * | 2016-05-18 | 2016-08-24 | 深圳前海云东家科技有限公司 | Cloud intelligent cashier system and cash register |
-
2016
- 2016-11-09 CN CN201610985632.7A patent/CN108062666A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102609860A (en) * | 2012-01-20 | 2012-07-25 | 彭立发 | Method and system suitable for categorizing and recommending e-commerce commodities and information |
| CN202711388U (en) * | 2012-07-20 | 2013-01-30 | 国民技术股份有限公司 | Self-service charging system |
| JP2013246813A (en) * | 2012-08-22 | 2013-12-09 | Net Piloting Inc | Sales data management server, sales data management system, sales data management program, and sales data management method |
| CN104881802A (en) * | 2015-06-26 | 2015-09-02 | 深圳市华阳信通科技发展有限公司 | Intelligent device and goods association recommendation method thereof |
| CN105897908A (en) * | 2016-05-18 | 2016-08-24 | 深圳前海云东家科技有限公司 | Cloud intelligent cashier system and cash register |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110428248A (en) * | 2019-08-05 | 2019-11-08 | 虞正权 | A kind of cash method for hairdressing |
| CN112053190A (en) * | 2020-09-02 | 2020-12-08 | 中国银行股份有限公司 | Stall data management method and device, storage medium and equipment |
| CN112053190B (en) * | 2020-09-02 | 2024-03-05 | 中国银行股份有限公司 | Stall data management method, stall data management device, storage medium and stall data management equipment |
| CN112860150A (en) * | 2021-03-30 | 2021-05-28 | 中国工商银行股份有限公司 | User page operation prompting method and device based on big data analysis |
| CN112860150B (en) * | 2021-03-30 | 2022-12-16 | 中国工商银行股份有限公司 | User page operation prompting method and device based on big data analysis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Huang et al. | Optimal reliability, warranty and price for new products | |
| US7092896B2 (en) | Interface for merchandise promotion optimization | |
| Wang | Capacitated assortment and price optimization under the multinomial logit model | |
| Hou et al. | An EOQ model for deteriorating items with price-and stock-dependent selling rates under inflation and time value of money | |
| Aksen et al. | The single-item lot-sizing problem with immediate lost sales | |
| US20010039519A1 (en) | Cooperative buying system for purchasing consumer products using a computer network | |
| US7438227B2 (en) | System and method to determine the prices and order quantities that maximize a retailer's total profit | |
| CN107924262A (en) | For ordering the method and system for the product previously ordered again automatically | |
| CN102282551A (en) | Automated decision support for pricing entertainment tickets | |
| CN105190673A (en) | System and method for generating recommendations | |
| WO2015041778A1 (en) | Product promotion optimization system | |
| Sana | Optimal production lot size and reorder point of a two-stage supply chain while random demand is sensitive with sales teams' initiatives | |
| CN105184600A (en) | Rule and operation-based electronic business platform price engine implementing method | |
| Mascle et al. | Inventory management maximization based on sales forecast: case study | |
| Barron et al. | Shortage decision policies for a fluid production model with MAP arrivals | |
| Hemalatha | Market basket analysis–a data mining application in Indian retailing | |
| Ghosh et al. | Optimizing a two-echelon serial supply chain with different carbon policies | |
| Huang et al. | Evaluation of the allocation performance in a fashion retail chain using data envelopment analysis | |
| CN108062666A (en) | Intelligent cashier system and method | |
| US20100017299A1 (en) | Methods, devices, systems, and computer program products for locating items offered by vendors at customer preferred prices | |
| Chen et al. | A multiobjective optimization for clearance in walmart brick-and-mortar stores | |
| Nastiti et al. | Smart shopping prediction on smart shopping with linear regression method | |
| Al Kindi et al. | Optimal inventory system with two backlog costs in response to a discount offer | |
| Chen et al. | Strategic price bundling for online retail platforms considering consumer behavior of valuation discount | |
| JPH1125362A (en) | Merchandise distribution system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180522 |