CN102663629A - Electronic commerce method utilizing recommendation rule - Google Patents
Electronic commerce method utilizing recommendation rule Download PDFInfo
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- CN102663629A CN102663629A CN2012101343974A CN201210134397A CN102663629A CN 102663629 A CN102663629 A CN 102663629A CN 2012101343974 A CN2012101343974 A CN 2012101343974A CN 201210134397 A CN201210134397 A CN 201210134397A CN 102663629 A CN102663629 A CN 102663629A
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Abstract
The invention discloses an electronic commerce method utilizing a recommendation rule, and the electronic commerce method comprises the following steps that an electronic commerce platform receives and stores sales information of commodities of suppliers, and the information includes rule information associated to the recommendation; the electronic commerce platform allows consumers to buy commodities and allows the consumers to set a purchase recommender option in a transaction page, and the recommender can be the consumer satisfying the recommender recognition condition; and the electronic commerce platform allocates the rewards to the consumer and the recommender of the consumer of the traction according to a recommendation reward rule. The embodiment utilizes the recommendation rule to guide the consumer to better select the appropriate commodity and sellers more quickly, the recommendation reward and the self recommendation can be used for forming price grade difference for buying at retail and buying in bulk so as to encourage the consumer to buy the commodity in bulk or repurchase the commodity, resellers are also guided to anticipate in the wholesale procurement of a combined bill or a whole bill of the electronic commerce, and finally all sales businesses are integrated to a uniform electronic commerce transaction platform.
Description
Technical field
The present invention relates to the e-commerce technology field, particularly a kind of E-commerce method that uses recommendation rules.
Background technology
Development along with network and e-commerce technology; The beginning that People more and more is many is done shopping on network and is consumed; Shopping online is not only convenient and swift, and type of merchandize and quantity are also greatly abundant, and merchandise sales businessman also more to be unequal to lifting; Also bring puzzlement when more options are provided more, how could in the marketing information of magnanimity, find suitable commodity and seller fast to the consumer.Tool reference value beyond doubt from the first hand experience information of user, such as operation report, evaluation and marking of consumer user itself or the like.Can better the guide consumption person select to buy commodity so in ecommerce, add the recommendation rules content.
Occurred in recent years with combination of holds purchase by group buy be characteristic purchase by group, piece together single electronic business mode; There is businessman to begin to attempt online merchandising in batches; Carry out the single wholesale business of group of networks; Ordinary consumer is received more tangible benefits, but also can cause the confusion of businessman's marketing channel, makes that intermediate agent, dealer can become at a loss as to what to do in the past.Final solution is that businessman also participates in as ordinary consumer and purchases by group or piece together list in the middle of letting; All Activity is incorporated into a uniform platform; But reserve rational profit margin for again middle businessman; Need like this some new sales tactics make the commodity price scheme can buy retail and in batches between to form reasonable prices differential, recommend method is a feasible method.
Summary of the invention
The embodiment of the invention provides a kind of E-commerce method that uses recommendation rules; Use recommendation rules; Faster and better selection suitable commercial product of guide consumption person and seller; Wherein recommend to reward with self recommendation and be used to form the differential encourage consumer of price in batches or repeatedly buy commodity, and businessman also participates in ecommerce and on network, organize single or put in order wholesale the stocking up of list in the middle of the guiding.
The concrete technical scheme that the embodiment of the invention provides is following.
A kind of E-commerce method that uses recommendation rules may further comprise the steps.
A kind of E-commerce method that uses recommendation rules; It is characterized in that; May further comprise the steps: e-commerce platform receives and preserves the merchandise sales information of supplier's issue, includes the relevant regular clause information (hereinafter to be referred as recommendation rules) of recommending in the said information; Said e-commerce platform is accepted the consumer and is bought commodity, and allows the consumer in the page of transaction, to set to buy referrer (hereinafter to be referred as the referrer) option, and said referrer satisfies himself user of consumer that the referrer assert condition; Said e-commerce platform is according to recommend rewarding the distribution of income that rule is rewarded the consumer of transaction and its referrer, and the award form can be that merchandise discount, commodity are preferential, integration or other.
Wherein said recommendation rules includes referrer conditional plan of assert and the game rule of recommending to reward.
Wherein said setting is bought the referrer and is satisfied the said e-commerce website registered user that the referrer assert condition; Comprising himself user of the consumer who satisfies the identification condition equally; Perhaps do not have under referrer's the situation, set this option for no referrer in shopping voluntarily.
Wherein consumer's each commodity of can be purchase are provided with its referrer, even same commodity of a bulk purchase are a plurality of, these are a plurality of also to have its referrer separately that option is set when purchasing commodity transaction.
Wherein the consumer is buying outside the commodity; Can also on each information media, carry out conducting promotion to of various ways to purchasing commodity as the referrer; And issue the sale recommended links of these commodity, attract other consumers to click to get into to buy these commodity, and obtain the recommendation income.
The merchandise sales page link that carries nominator's user profile that the sale recommended links of wherein said commodity refers to is clicked this link and is carried out commodity transaction, the nominator user of default setting referrer option for carrying in the link.
Wherein said e-commerce platform is accepted the consumer and is bought certain commodity, inquires about the historical transaction record of said consumer to said commodity simultaneously, if exist, then this time referrer of transaction is defaulted as himself user of said consumer.
Individual certain commodity of bulk purchase n of consumer (n>1) wherein, effect is equal to n time and buys these commodity, so be defaulted as himself user of said consumer from the 2nd the purchase referrer to the individual said commodity of n.
In embodiments of the present invention; Use recommendation rules, can attract the consumer to participate in product promotion and propaganda, also make things convenient for other consumers to select the purchase commodity; Recommend the application of award and self recommendation rule simultaneously; It is differential suitably to draw back the price that common single-piece is done shopping and the agent purchases in batches, is beneficial to for attracting the consumer to do shopping in batches or doing shopping once more, and attracts middle businessman to participate in ecommerce; Unified transaction platform reduces transaction cost, and selling in batches for businessman's realization order formula network provides a kind of E-commerce method.
Description of drawings
Fig. 1 is the E-commerce method process flow diagram that uses recommendation rules in the embodiment of the invention.
Embodiment
The embodiment of the invention provides a kind of E-commerce method that uses recommendation rules; Except recommending guide consumption person better choice businessman and commodity; Hope that more the problem that solves is that supplier's online and offline transaction can be merged together; The selling operation of each channel of supplier is all forwarded on the line accomplish, form a unified E-commerce transaction platform, ordinary consumer is bought commodity and is mostly single; The bulk purchase of middle businessman is returned profit through the mode of self recommendation, and it is differential to form reasonable prices like this.Cooperate other as return the benefit, promotion approach such as special price form a complete rational merchandise valuation scheme make the consumer, the agent can batch combination or whole single from the transaction of same electricity merchant platform.
Below will carry out further detailed description to E-commerce method of the present invention with reference to accompanying drawing, and consult as shown in Figure 1ly, the E-commerce method operating process of the embodiment of the invention is following.
Step 100: goods providers submits and issues the marketing information of commodity on e-commerce platform; Supplier arranges the clause content of recommendation rules simultaneously; Include the incentive program measure of the Condition And Recommendation of referrer's identification, take out commodity part price profit by businessman and between consumer and referrer, reward distribution.Also carry out conducting promotion to of commodity in the time of the excitation consumers shopping as the nominator.This method also is applicable to and purchases by group or piece together single electronic business mode.
Step 110: the consumer buys commodity; Each commodity of purchasing all has it to buy referrer option is set, loaded down with trivial details for fear of setting operation process one by one certainly, and this option can have the value of acquiescence; Certainly be advanced into the merchandise sales page such as the consumer; Default recommendation does not artificially have, and the consumer sells recommended links through certain and gets into transaction, and the default option value is this referrer.
Step 111: when the consumer buys commodity, e-commerce platform inquiry consumer to the transaction record of these commodity, if exist, thought that consumer's buying behavior was self recommendation in the past, and just recommending the people is consumer self.
Step 112: the consumer buys commodity; E-commerce platform inquiry consumer is in the past to the transaction record of these commodity; If do not exist, consumer wants is specified the referrer for this commodity transaction, if there is not the nominator certainly really; Be to select voluntarily to buy, also can set referrer's option and be no referrer.Recommendation through other consumers is sold link and is got into transaction, and the default option value is exactly the subsidiary nominator user of link.
Step 113: consumer's bulk purchase is with part commodity n (n>1); Be equal to n time and buy commodity; Then according to step 111 rule, since commodity were bought in the consumer front, so should all be consumer self from the 2nd to n referrer; Belong to self recommendation, be provided with according to the concrete condition of preceding step 111 or step 112 as for the referrer of first commodity of purchasing and set.
Step 114: middle the businessman that attracts supplier is wholesale stocking up from the e-commerce platform also, and concrete mode can participate in purchasing by group or piecing together list as ordinary consumer, can also directly put in order the order of list; The referrer all is middle businessman self like this; Enjoy whole recommendation and reward preferentially, cooperate again with other interest concessions policy such as wholesale cost in the middle of reducing such as returning the benefit; Enlarge their profit margin, the enthusiasm that purchases by group or piece together the single electron commercial affairs to guide the agent also to participate in.
Step 120: the consumer is except buying commodity; Can also on each information media, carry out the demonstration and the popularization of various ways; Such as writing report of accessment and test, in-service evaluation etc., and issue the sale link that these commodity comprise individual recommendation information; Attract more consumers to click and get into these commodity of purchase, also can obtain the recommendation income.
Step 130: purchase by group or piece together single cross and be prone to set up, reward distribution according to the award method and the allocation proportion of set recommendation rules agreement to consumer and its referrer, the award form can be various, comprises discount, preferential, integration or the like.Wherein recommending the people is that consumer's self self recommendation is applicable to recommendation rules too; Be nothing but that all recommend interests all to return to this consumer with the form of rewarding, so recommendation rules itself is exactly in order to attract the consumer to do shopping in batches or a kind of interest concessions measure of shopping once more.
In sum, the embodiment of the invention has proposed a kind of E-commerce method, uses recommendation rules; Except the faster and better selection of guide consumption person suitable commodity and seller; More be used for purchasing by group or piecing together single electronic business mode,, attract the consumer to do shopping in batches or shopping once more through recommending and the self recommendation interest concessions; Cooperate other as policy such as returning the benefit, it is whole single wholesale on network to guide the agent also to participate in ecommerce.Merge supplier's marketing channel unification to online trading, make up unified e-commerce platform, selling in batches for businessman's realization order formula network provides a kind of E-commerce method.
The above only is a preferred implementation of the present invention; Should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; Can also make some improvement and retouching, these improvement and retouching also should be regarded as protection scope of the present invention.
Claims (8)
1. E-commerce method that uses recommendation rules; It is characterized in that; May further comprise the steps: e-commerce platform receives and preserves the merchandise sales information of supplier's issue, includes the relevant regular clause information (hereinafter to be referred as recommendation rules) of recommending in the said information; Said e-commerce platform is accepted the consumer and is bought commodity, and allows the consumer in the page of transaction, to set to buy referrer (hereinafter to be referred as the referrer) option, and said referrer satisfies himself user of consumer that the referrer assert condition; Said e-commerce platform is according to recommend rewarding the distribution of income that rule is rewarded the consumer of transaction and its referrer, and the award form can be that merchandise discount, commodity are preferential, integration or other.
2. the E-commerce method of use recommendation rules as claimed in claim 1 is characterized in that, said recommendation rules includes referrer conditional plan of assert and the game rule of recommending to reward.
3. the E-commerce method of use recommendation rules as claimed in claim 1; It is characterized in that; Said setting is bought the referrer and is satisfied the said e-commerce website registered user that the referrer assert condition; Comprising himself user of the consumer who satisfies the identification condition equally, perhaps do not have under referrer's the situation in shopping voluntarily, set this option and be no referrer.
4. the E-commerce method of use recommendation rules as claimed in claim 1; It is characterized in that; Each commodity that the consumer can be purchase are provided with its referrer, even same commodity of a bulk purchase are a plurality of, these are a plurality of also to have its referrer separately that option is set when purchasing commodity transaction.
5. the E-commerce method of use recommendation rules as claimed in claim 1; It is characterized in that; The consumer can also carry out conducting promotion to of various ways to purchasing commodity as the referrer, and issue the sale recommended links of these commodity buying outside the commodity on each information media; Attract other consumers to click and get into these commodity of purchase, and obtain the recommendation income.
6. the E-commerce method of use recommendation rules as claimed in claim 5; It is characterized in that; The merchandise sales page link that carries nominator's user profile that the sale recommended links of said commodity refers to; Click this link and carry out commodity transaction, the nominator user of default setting referrer option for carrying in the link.
7. the E-commerce method of use recommendation rules as claimed in claim 1; It is characterized in that; Said e-commerce platform is accepted the consumer and is bought certain commodity; Inquire about the historical transaction record of said consumer to said commodity simultaneously, if exist, then this time referrer of transaction is defaulted as himself user of said consumer.
8. the E-commerce method of use recommendation rules as claimed in claim 1; It is characterized in that; Bulk purchase n of consumer (n>1) individual certain commodity; Effect is equal to n time and buys these commodity, so be defaulted as himself user of said consumer from the 2nd the purchase referrer to the individual said commodity of n.
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| CN2012101343974A CN102663629A (en) | 2012-05-03 | 2012-05-03 | Electronic commerce method utilizing recommendation rule |
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| CN102930451A (en) * | 2012-09-19 | 2013-02-13 | 腾讯科技（深圳）有限公司 | Information managing method, two-dimension code generating method and relative devices |
| CN103457930A (en) * | 2013-07-29 | 2013-12-18 | 江苏钱旺智能系统有限公司 | Data processing method based on server, user terminal and merchant terminal |
| CN103606095A (en) * | 2013-11-13 | 2014-02-26 | 冷邑军 | League management-based marketing method and integrated marketing management system |
| CN103825867A (en) * | 2012-11-19 | 2014-05-28 | 中国银联股份有限公司 | System, device and method for processing combined-type security information interaction |
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| CN104240110A (en) * | 2014-06-05 | 2014-12-24 | 富商国际股份有限公司 | Electronic commerce advertisement marketing method and system thereof |
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