CN1704956A - Data processing system and method aiming at multiple discount valuation - Google Patents
Data processing system and method aiming at multiple discount valuation Download PDFInfo
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- CN1704956A CN1704956A CN 200410047221 CN200410047221A CN1704956A CN 1704956 A CN1704956 A CN 1704956A CN 200410047221 CN200410047221 CN 200410047221 CN 200410047221 A CN200410047221 A CN 200410047221A CN 1704956 A CN1704956 A CN 1704956A
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Abstract
This invention discloses a data process system and a method used in valuating multiple goods to be bought by a customer based on multiple preset discount principles, in which, a discount amount of money is generated according to several determined available principle selected from multiple preset discount principles and the order information relating to data of said multiple goods. The valuation of said multiple goods is finished by deducting said discount money from the total sum of prices of said multiple goods.
Description
Technical field
The present invention relates to a kind of data handling system and method, especially relate to a kind of at the data handling system and the method for multiple discount (Multiple discount) to the commodity valuation in order to commodity are valuated.
Background technology
Merchandise discount is a businessman in order to one of important marketing method of attracting client always for a long time.Businessman utilizes the discount mode can clearing stock on the one hand, and client also can buy more cheap commodity because of discount on the other hand.
There have many technology contents to relate to the execution of exploit information system to be revealed to the invention formerly of client's preferential discount, for example, and U.S. Patent number 6,615,184 patents, U.S. Patent number 6,076,071 patent and U.S. Patent number 5,873,069 patent.Yet above-mentioned prior art all only is to look for lowest price at certain specific products, or discount offered price and buy this specific products relevant information.
In entity transaction, the type of merchandize that client may order is complicated, number is various, and therefore, the discount scheme that businessman can give can beneficial shape complexity.At present carry out the technology that the prior art to client's preferential discount does not still process at multiple discount about the exploit information system.
Therefore, fundamental purpose of the present invention is providing a kind of data handling system and method at multiple discount valuation.
Summary of the invention
The object of the present invention is to provide a kind of data handling system and method, do valuation in order to the commodity of buying at multiple discount one client's desire.
To achieve these goals, the invention provides a kind of data handling system, in order to based on M1 predetermined discount criterion, do valuation at N the commodity of being bought by client's desire, wherein M1 and N are respectively a natural number.This data handling system comprises a storage module, a terminal module, a discount module and a valuation module.This storage module is in order to store this M1 predetermined discount criterion.This terminal module is in order to import an ordering information.This ordering information comprises the data about this N commodity.This discount module receives this ordering information in order to this terminal module place certainly, and based on this ordering information, this storage module place takes out M2 discount criterion applicatory certainly.This discount module and according to this ordering information is selected M3 and is determined the discount criterion that is suitable for from this M2 discount criterion applicatory.This discount module and determine the discount criterion and this ordering information that are suitable for to produce a discount amount according to this M3.Wherein M2 is a positive integer that is less than or equal to M1, and M3 is a positive integer that is less than or equal to M2.This valuation module receives this ordering information in order to this terminal module place certainly, and this discount module place receives this discount amount certainly.This valuation module and by the summation of the price of this N commodity is deducted this discount amount, to finish the valuation of this N commodity.
The present invention provides a kind of data processing method again, in order to based on M1 predetermined discount criterion, does valuation at N the commodity of being bought by client's desire, and wherein M1 and N are respectively a natural number.According to data processing method of the present invention, at first, an ordering information is received, and this ordering information comprises the data about this N commodity.Then, based on this ordering information, take out M1 the discount criterion that the individual discount criterion applicatory of M2 is prestored from this, wherein M2 is a positive integer that is less than or equal to M1.Then, according to this ordering information, determine that the discount criterion that is suitable for is selected for M3 from this M2 discount criterion applicatory, wherein M3 is a positive integer that is less than or equal to M2.One discount amount determines that according to this M3 the discount criterion and this ordering information that are suitable for produce.At last, the valuation of this N commodity is finished by the summation of the price of this N commodity is deducted this discount amount.
Can be further understood by the following detailed description and accompanying drawings about the advantages and spirit of the present invention.
Description of drawings
Fig. 1 is the function block diagram according to the data handling system of preferred embodiment of the present invention.
Fig. 2 is the process flow diagram of data processing method according to a preferred embodiment of the present invention.
Fig. 3 is the process flow diagram with one embodiment of the invention.
Wherein, description of reference numerals is as follows:
10: data handling system 12: terminal module
14: discount module 16: the valuation module
18: storage module 20: editor module
22: merchandising database DC1: predetermined discount criterion
DC2: discount criterion DC3 applicatory: determine suitable discount criterion
DC4: not suitable as yet discount criterion OI: ordering information
DOC: discount amount NI: information
S30~S42: process step S50~S80: process step
AOD: discount amount
Embodiment
Below in detail preferred embodiment of the present invention will be described in detail, so as to the simplicity in abundant explanation feature of the present invention, spirit, advantage and the enforcement.
Please refer to Fig. 1, Fig. 1 is the function block diagram according to the data handling system 10 of a preferred embodiment of the present invention.This data handling system 10 is done valuation in order to based on M1 predetermined discount criterion (Predetermined discount criteria) DC1 at N the commodity of being bought by client's desire, and wherein M1 and N are respectively a natural number.This data handling system 10 comprises a storage module (Storing module) 18, one terminal module (Terminal module) 12, one discount module (Discountmodule) 14 and a valuation module (Pricing module) 16.
This storage module 18 is in order to store M1 predetermined discount criterion DC1.This terminal module 12 is in order to import an ordering information (Order information) OI.This ordering information OI comprises, for example, and about the data of this N commodity, this client's a recognition data and this client's data such as a shopping locality data.
This discount module 14 receives this ordering information OI in order to this terminal module 12 places certainly, and takes out this M2 discount criterion applicatory (Applicablediscount criteria) DC2 from these storage module 18 places based on this ordering information OI.This discount module 14 is selected M3 and is determined suitable discount criterion (Applied discountcriteria) DC3 according to this ordering information OI from this M2 discount criterion DC2 applicatory.This discount module 14 and determine that according to this M3 the discount criterion DC3 and this ordering information OI that are suitable for produce a discount amount (Amount of discount) AOD, wherein M2 is a positive integer that is less than or equal to M1, and M3 is a positive integer that is less than or equal to M2.In practical application, this data handling system 10 should comprise a merchandising database 22.This discount module 14 is when calculating this discount amount AOD, and the price data that can capture commodity from this merchandising database 22 compares, calculates.
In addition, this discount module 14 and produce (M2-M3) individual information (Notice information) NI according to (M2-M3) among this M2 discount criterion DC2 applicatory individual discount criterion (Unapplied discount criteria) DC4 that is suitable for as yet and ordering information OI.Each information NI is to a discount criterion DC4 who is suitable for as yet among should (M2-M3) individual discount criterion DC4 that is suitable for as yet.This discount module 14 subsequently and output should (M2-M3) individual information NI to this terminal module 12.Whether this client can obtain this (M2-M3) individual information NI via this terminal module 12, select to continue to buy, and reaches (M2-M3) individual discount criterion DC4 that is not suitable for as yet.
This valuation module 16 receives this ordering information OI in order to this terminal module place 12 certainly, and these discount module 14 places receive this discount amount AOD certainly.This valuation module 16 and by the summation of the price of this N commodity is deducted the valuation that this discount amount AOD finishes this N commodity.In practical application, the data that this valuation module 16 can the relevant commodity price of internal memory, or as shown in Figure 1, this valuation module 16 is done calculating from the price data that this merchandising database 22 captures commodity.
In a specific embodiment, this data handling system 10 also comprises an editor module (Editingmodule) 20, as shown in Figure 1.This editor module 20 is in order to optionally to make increase, delete or to revise M1 the predetermined discount criterion DC1 that is stored in this storage module 18.
Please refer to Fig. 2, Fig. 2 is the data processing method process flow diagram of the data handling system 10 that Fig. 1 disclosed.Data processing method according to the present invention is based on M1 the predetermined discount criterion DC1 that prestores, and does valuation at N the commodity of being bought by client's desire, and wherein M1 and N are respectively a natural number.Utilize the data handling system 10 of Fig. 1 to illustrate when as follows according to data processing method of the present invention.At first in step S30, because this client's an ordering information OI is pointed in this terminal module 12 places input.This ordering information OI comprises, for example, about the data of this N commodity, data such as a customer identification data and a shopping locality data.Follow execution in step S32, in step S32, this terminal module 12 transmits this ordering information OI to this discount module 14.Execution in step S34 subsequently, in step S34, the ordering information OI of N the commodity data that this discount module 14 is accepted.Then execution in step S35 in step S35, takes out M2 discount criterion DC2 applicatory among the M1 of this discount module 14 from be stored in this storage module 18 the predetermined discount criterion DC1, and wherein M2 is the positive integer that is less than or equal to M1.Follow execution in step S36, in step S36, this discount module 14 is selected M3 and is determined suitable discount criterion DC3 according to this ordering information OI from this M2 discount criterion DC2 applicatory, and wherein M3 is a positive integer that is less than or equal to M2.Follow execution in step S37, in step S37, this discount module 14 is determined suitable discount criterion DC3 and this ordering information OI according to this M3, produces a discount amount AOD and gives this valuation module 16.
Then, in step S38, this discount module 14 produces (M2-M3) individual information NI and exports this terminal module 12 to according to (M2-M3) individual discount criterion DC4 and this ordering information OI that is not suitable for as yet among this M2 the discount criterion DC2 applicatory.Then, in step S40, this client determines whether will continuing to buy product or service according to (M2-M3) individual information NI that terminal module 12 is produced.If the result of step S40 then carries out step S42 for negating; If the result of step S40 then re-executes step S30 for certainly.In other words, if this client knows after this information NI, decision no longer continues to buy product or service, and only will order N commodity originally the time, then carries out step S42.In step S42, this valuation module 16 receives this ordering information OI by these terminal module 12 places, and obtain this discount amount 26 in these discount module 14 places, and valuation module 16 is by N commodity price sum total deduction discount amount AOD, to finish the valuation of N commodity.
If execution in step S30 once more, N1 commodity of this purchase of customer produce new for N1 goods order information.Wherein N1 and N are all natural number, and N1 is greater than N.This N1 commodity may be contained a previous N commodity, also may increase to some extent and delete for the N that before desired a to purchase commodity.In other words, if client knows in step S40 after (M2-M3) individual information NI that terminal module 12 produced, decision will continue to buy other commodity or delete some commodity that former desire is bought, then the ordering information of input is done correction, proceed step S30 and subsequent flow process, and then finish valuation N1 commodity.
According to data handling system of the present invention and its enforcement environment of method, can be virtual shop by the Internet operation, can also be shop, market or the shopping center of entity, for example, jobbing house, department store etc.
Below will lift according to data processing method of the present invention, the enforcement of buying commodity in businessman's discount offered and client is illustrated again.
Please refer to Fig. 3, Fig. 3 is for using the process flow diagram according to an embodiment of flow chart of data processing of the present invention.At first as yet not before the free choice of goods, formulate discount criterion person that is businessman, need to formulate the discount criterion according to actual state earlier client.Therefore, the step S50 in the first execution graph 3 of need.In step S50, this businessman sets four discount criterions by operation-interface.These criterions comprise: one red class of scheme is bought five and is given 20 yuan of discounts; Full two of scheme two books classes sell by 10 discount; Scheme three full shop consumption are enjoyed seventy percent discount for full 500 yuan; And scheme four final consumptions are reach 500 yuan, 25 yuan of carriage frees.In this embodiment, freight charges are put into the whether consideration of discount granted.In practical application, freight charges can also not be listed in the consideration of discount.
Follow execution in step S52, in step S52, it is predetermined discount criterion that four discount criterions that this businessman sets are stored.
Follow execution in step S54, in step S54, in terminal module 12 places, the goods order information of buying about client institute desire is transfused to.This ordering information comprises this client institute desire and buys information such as two of four in red pen, one of books A and books B.Be pre-stored in the merchandising database about commodity price data.Price data about above-mentioned forward purchasing commodity is as follows: red pen 20 yuan every, 200 yuan every of books A, 150 yuan every of books B.As the consumer behavior of reality, before order goods, this client can be earlier by importing the personal data about this client such as credit card or member card etc.Therefore, this subscription data can comprise the data about this client.
In this embodiment, four discount scheme that businessman sets all are to provide at the member, add the member so as to stimulating consumer.Therefore, before the arithmetical discount amount of money, need to confirm earlier this client's identity.After step S54, by execution in step S56.In step S56, by in this subscription data about this client's data, confirm this client's identity.If the affirmation result of step S56 then carries out step S58 for certainly.
In step S58, take out the predefined discount criterion of businessman by computer system and compare in regular turn, at first compare the red stroke count amount of purchase of customer and whether meet scheme one.Because four in the red pen of this purchase of customer does not meet scheme one, the result of step S58 is for negating, skips steps S60 immediately, execution in step S62.If the result of step S58 then can execution in step S60 for affirming.In step S60, a discount amount a can be calculated.
Then execution in step S62 compares purchase of customer books quantity and whether meets scheme two.Because two of one of these purchase of customer books A and books B meet scheme two, the result of step S62 is certainly, immediately execution in step S64.In step S64, full two of books class sells by 10 discount, obtains a discount amount b (50 yuan).
Then execution in step S66 compares whether meet scheme three.Because after this customer consumption amount of money total price (580 yuan) deducts discount amount B (50 yuan) is 530 yuan, it is preferential that 7 foldings are enjoyed in the full shop consumption full 500 that meets scheme three, and the result of step S66 is for certainly, immediately execution in step S68.In step S68, produce a discount amount c (159 yuan).
Then execution in step S70 compares whether meet scheme four.Dealing with the consumption amount of money after above three schemes of comparison is 530 yuan-159 yuan=371 yuan, does not meet the criterion of 25 yuan of full 500 carriage frees of final consumption of scheme four, and the result of step S70 is for negating, skips steps S72 immediately, execution in step S74.If the result of step S70 then can execution in step S72 for affirming.In step S72, a discount amount d can be calculated.Then execution in step S74 does totalling to all discount amount.
Execution in step S76 after step S74, four discount criterions that comparison prestores are found this client if buy one in red pen again, can satisfy the discount criterion of scheme one, and find this client if increase by 129 yuan the consumption amount of money again, can satisfy the discount criterion of scheme four.In step S76, can if buying one in red pen again, client can satisfy scheme one by terminal module 12 prompting, can enjoy the information such as preferential of exempting from 25 yuan of freight charges and give this client if purchase the 129 former amount of money again, and then stimulate the wish of this purchase of customer.
In step S78, this client can determine whether to continue shopping after receiving this information.If the result of step S78 then carries out step S80 for negating, with the price summation deduction discount amount sum total of the ordered commodity of this client, and calculating last this client, to deal with total charge be that 396 yuan (comprising freight charges) are to finish valuation.If the result of step S78 then gets back to step S54 for certainly, accept this this ordering information of client's additions and deletions.
Summing up feature of the present invention and advantage is listed below now:
(a) do valuation according to pricing system of the present invention and pricing method at multiple discount, can meet the sales promotion behavior of real business activity; And
(b) not only provide client obtainable discount information, the discount relevant information that is suitable for as yet for client also can the real-time reminding client, can stimulating customer buys the wish of more commodity.
By the above detailed description of preferred embodiments, clear more description feature of the present invention and spirit, and be not to come protection scope of the present invention is limited with the above-mentioned preferred embodiment that is disclosed.
Claims (10)
1, a kind of data handling system, this data handling system is in order to do valuation based on M1 predetermined discount criterion at N the commodity of being bought by client's desire, and wherein M1 and N are respectively a natural number, it is characterized in that this system comprises:
One storage module, this storage module is in order to store this M1 predetermined discount criterion;
One terminal module, this terminal module is in order to import an ordering information, and this ordering information comprises the data about this N commodity;
One discount module, this discount module receives this ordering information in order to this terminal module place certainly, this discount module is also taken out M2 discount criterion applicatory based on this ordering information from this storage module place, this discount module is also selected M3 according to this ordering information and is determined suitable discount criterion from this M2 discount criterion applicatory, this discount module and determine that according to this M3 the discount criterion and this ordering information that are suitable for produce a discount amount, wherein M2 is a positive integer that is less than or equal to M1, and M3 is a positive integer that is less than or equal to M2; And
One valuation module, this valuation module receives this ordering information in order to this terminal module place certainly, this valuation module also receives this discount amount from this discount module place, this valuation module and by a summation of the price of this N commodity is deducted the valuation that this discount amount is finished this N commodity.
2, data handling system as claimed in claim 1, it is characterized in that this discount module also produces (M2-M3) individual information according to (M2-M3) individual discount criterion that is not suitable for as yet and this ordering information in this M2 the discount criterion applicatory, each information is to a discount criterion that is suitable for as yet in should (M2-M3) individual discount criterion that is suitable for as yet, this discount module subsequently and output should (M2-M3) individual information to this terminal module.
3, data handling system as claimed in claim 1 is characterized in that also comprising:
One editor module, this editor module is in order to optionally to make increase, delete or to revise the discount criterion that stores in this storage module.
4, data handling system as claimed in claim 1 is characterized in that this ordering information also comprises the recognition data about this client.
5, data handling system as claimed in claim 1 is characterized in that this ordering information also comprises the shopping locality data about this client.
6, a kind of data processing method, this data processing method is in order to do valuation based on M1 predetermined discount criterion at N the commodity of being bought by client's desire, and wherein M1 and N are respectively a natural number, it is characterized in that this method comprises the following step:
Receive an ordering information, this ordering information comprises the data about this N commodity;
Based on this ordering information, from this M1 that prestores discount criterion, take out M2 discount criterion applicatory, wherein M2 is a positive integer that is less than or equal to M1;
According to this ordering information, from this M2 discount criterion applicatory, select M3 and determine suitable discount criterion, wherein M3 is a positive integer that is less than or equal to M2;
According to this M3 definite discount criterion and this ordering information that is suitable for, produce a discount amount; And
By a summation of the price of this N commodity is deducted the valuation that this discount amount is finished this N commodity.
7, data processing method as claimed in claim 6 is characterized in that also comprising the following step:
According to (M2-M3) individual discount criterion and this ordering information that is not suitable for as yet in this M2 the discount criterion applicatory, produce (M2-M3) individual information, each information is to a discount criterion that is suitable for as yet in should (M2-M3) individual discount criterion that is suitable for as yet; And
Output should (M2-M3) individual information.
8, data processing method as claimed in claim 6 is characterized in that also comprising the following step:
Optionally this M1 that prestores discount criterion is made increase, deletes or revised.
9, data processing method as claimed in claim 6 is characterized in that this ordering information and comprises a customer identification data.
10, data processing method as claimed in claim 6 is characterized in that this ordering information and comprises a shopping locality data.
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
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WO2012075642A1 (en) * | 2010-12-10 | 2012-06-14 | Nokia Corporation | Method and apparatus for providing template-based discount valuation and ranking |
CN104025141A (en) * | 2011-12-27 | 2014-09-03 | 英特尔公司 | Cloud service and product management system for managing warranty and other product information |
CN104732383A (en) * | 2013-12-23 | 2015-06-24 | 华为技术有限公司 | Transaction method, device and system based on electronic purse |
TWI490806B (en) * | 2014-04-09 | 2015-07-01 | President Chain Store Corp | Method for Computing Payable Amount and Computer Program Product |
CN108711070A (en) * | 2018-05-09 | 2018-10-26 | 西安中科创达软件有限公司 | A kind of purchase system and its method based on e-commerce platform |
CN111178927A (en) * | 2018-11-11 | 2020-05-19 | 千寻位置网络有限公司 | Multi-dimension and strategy-based commodity pricing method and system |
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2004
- 2004-05-31 CN CN 200410047221 patent/CN1704956A/en active Pending
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
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WO2012075642A1 (en) * | 2010-12-10 | 2012-06-14 | Nokia Corporation | Method and apparatus for providing template-based discount valuation and ranking |
CN103348367A (en) * | 2010-12-10 | 2013-10-09 | 诺基亚公司 | Method and apparatus for providing template-based discount valuation and ranking |
CN104025141A (en) * | 2011-12-27 | 2014-09-03 | 英特尔公司 | Cloud service and product management system for managing warranty and other product information |
CN104732383A (en) * | 2013-12-23 | 2015-06-24 | 华为技术有限公司 | Transaction method, device and system based on electronic purse |
WO2015096650A1 (en) * | 2013-12-23 | 2015-07-02 | 华为技术有限公司 | Transaction method, device and system based on electronic wallet |
US10600049B2 (en) | 2013-12-23 | 2020-03-24 | Huawei Technologies Co., Ltd. | Digital wallet-based transaction method, apparatus, and system |
CN114037442A (en) * | 2013-12-23 | 2022-02-11 | 华为技术有限公司 | Transaction method, device and system based on electronic wallet |
TWI490806B (en) * | 2014-04-09 | 2015-07-01 | President Chain Store Corp | Method for Computing Payable Amount and Computer Program Product |
CN104978798A (en) * | 2014-04-09 | 2015-10-14 | 统一超商股份有限公司 | Calculation method of checkout amount |
CN108711070A (en) * | 2018-05-09 | 2018-10-26 | 西安中科创达软件有限公司 | A kind of purchase system and its method based on e-commerce platform |
CN111178927A (en) * | 2018-11-11 | 2020-05-19 | 千寻位置网络有限公司 | Multi-dimension and strategy-based commodity pricing method and system |
CN112184097A (en) * | 2019-07-05 | 2021-01-05 | 北京京东振世信息技术有限公司 | Sending information processing method and device, computer equipment and readable storage medium |
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