CN103903148A - C2C system, B2C system, and application methods thereof - Google Patents

C2C system, B2C system, and application methods thereof Download PDF

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Publication number
CN103903148A
CN103903148A CN201210581177.6A CN201210581177A CN103903148A CN 103903148 A CN103903148 A CN 103903148A CN 201210581177 A CN201210581177 A CN 201210581177A CN 103903148 A CN103903148 A CN 103903148A
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commodity
order
key element
price
information
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蔡飞
付艳超
向旗
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Beijing Jingdong Shangke Information Technology Co Ltd
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Niuhai Information Technology (Shanghai) Co Ltd
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Abstract

The invention discloses a C2C system, a B2C system, and application methods thereof. The C2C system comprises a database, an input device, an information acquisition device, an information matching device, a first calculation device, an information integration device, a second calculation device, a comparison device and an output device. The invention provides a price comprehensive comparison mode which does not rely one manual calculation and comparison, can comprehensively retrieve needed goods during goods retrieval, is not prone to retrieval leakage, realizes an automatic calculation process, is accurate in calculation result, eliminates tedious operation and repeated operation of manual retrieval, calculation and comparison, greatly reduces user burden, at the same time can realizes quite accurate calculation of a comprehensive optimal price scheme, and improves shopping experience of users.

Description

C2C system, B2C system and using method thereof
Technical field
The present invention relates to a kind of C2C system, B2C system and using method thereof.
Background technology
Current era is the epoch of internet.The development of internet facilitates people's life greatly, especially the development of ecommerce.The ecommerce of China has obtained vigorous growth in recent years, main merchandising, from books class commodity, electrical type commodity the earliest, develops into present family's fast-moving consumer goods.To sum up e-commerce website can be divided into C2C pattern and B2C pattern.
From early stage Eachnet Taobao till now, C2C pattern is rooted in the hearts of the people, and by the user habit of its foundation and cultivation, ecommerce crowd is produced to tremendous influence.Present B2C pattern also quietly rises, and its impact is also rooted in the hearts of the people gradually.
C2C, actual is the professional term of ecommerce, is interindividual ecommerce.C2c is between consumer, because the same to of the pronunciation of 2 in English, so c to c is abbreviated as c2c.C refers to consumer, because consumer's English word is Consumer, thus be abbreviated as c, and C2C is Consumer to Consumer.If study the such as Taobao of representative website of current C2C, can find to have introduced multiple concepts under simple C2C pattern.
● consumer protection
● within 7 days, replace
● certified products guarantee
● maintenance in 30 days
● delivery in 24 hours
● press sales volume sequence
● by credit sequence
● sales promotion
Above element can be scaled a part for price factor to a certain extent.
B2C is English Business-to-Consumer(Business to Consumer) abbreviation, and its Chinese is referred to as " business is to visitor "." business is to visitor " is a kind of pattern of ecommerce, the retailing of namely conventionally saying, and sell goods and service directly satisfy the needs of consumers.The ecommerce of this form, generally take Network Retail as main, is mainly carried out online sales activity by means of internet.
B2C is simpler with respect to C2C pattern, and the main factor of considering is as follows.
● freight charges
● full certain amount of money freight free
● sales promotion
Above element can be scaled a part for price factor to a certain extent.
But no matter which kind of pattern, the feature that ecommerce is different from shop, ground has determined the importance of commodity price, this is also the important difference that ecommerce is different from solid shop/brick and mortar store, for example can there be newsstand each community around, different newsstands has its distinctive customer group, and the source of customer group is mostly from newsstand frequent process around, or near community resident, even if newsstand price far away is low again, the consumer groups of this newsstand can not transfer to newsstand far away.But ecommerce difference, region factor is greatly diminished the impact of consumer's consumer behavior.From early stage standardization commodity current consumption product till now, one of factor that buyer values the most or price.Therefore suitable price decision the key of ecommerce victory or defeat, but e-commerce development is to today, unconventional far away price comparison merely, such as the price except commodity also has freight charges, sales promotion, quality of credit etc.Therefore price is more the comparison of many factors rather than the comparison of simple price.
But, still lack at present a kind of comprehensive method relatively of effective price, the current relatively still manual comparison based on user, in C2C pattern, user browses different seller's databases, and artificial selection price is the seller of advantage comparatively, in B2C pattern, user browses each large electric quotient data storehouse, the price of more every commodity voluntarily one by one.This shows, such manner of comparison operates realization by user self completely, and process is loaded down with trivial details, particularly at same commodity in the time that many places seller or electric business all have sale and need the commodity amount bought more again, needs data are relatively various, multiplicity is many, and owing to being artificial calculating completely, comparative result out of true, in the time that item retrieves amount is larger, also often easily cause the omission of retrieval to cause user cannot buy the most economical and the most practical commodity, and user operates, and over-burden.
Summary of the invention
The technical problem to be solved in the present invention be for overcome price in prior art comprehensive relatively need to rely on artificial calculating, item retrieves not comprehensively, easy large, the coarse defect of result of calculation of calculated amount undetected, artificial calculating, provide a kind of item retrieves comprehensively, be not easy undetected, computation process by the automation equipments such as computing machine complete, result of calculation accurately can comprehensive comparative price C2C system, B2C system and using method thereof.
The present invention solves above-mentioned technical matters by following technical proposals:
A kind of C2C system, its feature is, it comprises:
One database, for storing seller's database, stores the merchandise news of all commodity that this seller provides in each seller's database;
One input media, for inputting an order for buyer, this order comprises that this buyer asks the merchandise news of the commodity of buying;
One information collecting device, carry out data mining to obtain and the unique corresponding element information of each key element for this merchandise news of every commodity to this order according at least one key element, this key element comprises price key element, and this price key element is corresponding to the price of these commodity;
One information matches device, for every commodity for this order, according to this element information, each seller's database is carried out to the commodity that with this element information match of data mining to obtain that this seller provides, and obtain the lowest price of these commodity in this database and this seller of these commodity of this lowest price is provided;
One first calculation element, for calculating a benchmark, this benchmark is this lowest price sum of all commodity in this order;
One information integrated device, be used for generating sub-order, this sub-order is to generate like this: first commodity from this order start, search provides other commodity in this order that the seller of these first commodity provides, other commodity in these first commodity and this order are added in this sub-order, and the commodity in the subset that this sub-order is this order and this sub-order provide by same seller;
One second calculation element, for calculating a sub-order price, this sub-order price is the price sum of all commodity in this sub-order;
One comparison means, be used for this sub-order price and this benchmark comparison, and the sub-order price that is less than this benchmark is updated to new benchmark, and again enables this information integrated device and this second calculation element until all sub-orders have comprised all commodity in this order;
One output unit, for exporting all sub-orders to offer this buyer.
Preferably, this key element also comprises one or more in credit worthiness key element, comment key element, sales volume key element, freight charges key element and favor information key element.
The present invention also provides a kind of using method of C2C system as above, and its feature is, comprises the following steps:
Step S 1, obtain this order of buyer input by this input media;
Step S 2, this information collecting device according at least one key element to this merchandise news of every commodity in this order carry out data mining with obtain and the unique corresponding element information of each key element;
Step S 3, for every commodity in this order, this information matches device carries out the commodity that with this element information match of data mining to obtain that this seller provides according to this element information to each seller's database, and obtains the lowest price of these commodity in this database and this seller of these commodity of this lowest price is provided;
Step S 4, this first calculation element calculates this benchmark;
Step S 5, this information integrated device generates sub-order, this second calculation element calculates the sub-order price of this sub-order;
Step S 6, this comparison means is this sub-order price and this benchmark comparison, and the sub-order price that is less than this benchmark is updated to new benchmark, and again performs step S 5until all sub-orders have comprised all commodity in this order;
Step S 7, this output unit exports all sub-orders to offer this buyer.
In C2C pattern of the present invention, first the bought different sellers' of all article (for example meeting price confidence level seller) price is sorted from low to high, to lowest price (comprising corresponding freight charges, sales promotion conversion), addition obtains minimum value benchmark as a comparison.Then since first commodity, find the commodity that have common seller in other article, commodity price is added and one works the freight charges addition of transporting and deducts the sales promotion computed monetary value of payments made in securities or in kind again, just do merging seller processing if sum is less than benchmark, circulate and find the commodity of lowest price combination and corresponding seller with this.
Preferably, this key element also comprises one or more in credit worthiness key element, comment key element, sales volume key element, freight charges key element and favor information key element.
The present invention also provides a kind of B2C system, and its feature is, it comprises:
One database, for store electricity quotient data storehouse, stores the merchandise news of all commodity that this electricity business provides in each electric quotient data storehouse;
One input media, for inputting an order for buyer, this order comprises that this buyer asks the merchandise news of the commodity of buying;
One information collecting device, carry out data mining to obtain and the unique corresponding element information of each key element for this merchandise news of every commodity to this order according at least one key element, this key element comprises price key element, and this price key element is corresponding to the price of these commodity;
One information matches device, for every commodity for this order, carries out the commodity that with this element information match of data mining to obtain that this electricity business provides according to this element information to each electric quotient data storehouse;
One calculation element, for calculating the price sum of all commodity of this order that each electric business provides;
One output unit, for exporting this price sum to offer this buyer.
Preferably, this output unit is for exporting from low to high this price sum.
Preferably, this key element also comprises one or more in credit worthiness key element, comment key element, sales volume key element, freight charges key element and favor information key element.
The present invention also provides a kind of using method of B2C system as above, and its feature is, comprises the following steps:
Step T 1, obtain this order of buyer input by this input media;
Step T 2, this information collecting device according at least one key element to this merchandise news of every commodity in this order carry out data mining with obtain and the unique corresponding element information of each key element;
Step T 3, for every commodity in this order, this information matches device carries out the commodity that with this element information match of data mining to obtain that this electricity business provides according to this element information to each electric quotient data storehouse;
Step T 4, this calculation element calculates the price sum of all commodity in this order that each electric business provides;
Step T 5, this output unit exports this price sum to offer this buyer.
Preferably, step T 5in this output unit for exporting from low to high this price sum.
In B2C pattern of the present invention, for example judge together freight charges for the commodity of all purchases, and the deduction sales promotion computed monetary value of payments made in securities or in kind.The total charge of calculating again the commodity of purchasing for each website by as above algorithm, then sorts from small to large, points out user with this.
Preferably, this key element also comprises one or more in credit worthiness key element, comment key element, sales volume key element, freight charges key element and favor information key element.
Meeting on the basis of this area general knowledge, above-mentioned each optimum condition, can combination in any, obtains the preferred embodiments of the invention.
Positive progressive effect of the present invention is: C2C system of the present invention, B2C system and using method thereof, provide a kind of price comprehensive mode relatively, it does not rely on artificial calculating comparison, in the time of item retrieves, just can retrieve required commodity comprehensively, be not easy undetected, and computation process is completed by automation equipments such as computing machines, result of calculation is accurate, remove manual retrieval from, calculate, troublesome operation and repetitive operation relatively, greatly alleviate user's burden, can also comparatively accurately calculate the scheme of composite price optimum simultaneously, the shopping that has promoted user is experienced.
Accompanying drawing explanation
Fig. 1 is the structured flowchart of the C2C system of one embodiment of the invention.
Fig. 2 is the process flow diagram of the using method of the C2C system of one embodiment of the invention.
Fig. 3 is the structured flowchart of the B2C system of one embodiment of the invention.
Fig. 4 is the process flow diagram of the using method of the B2C system of one embodiment of the invention.
Embodiment
Mode below by embodiment further illustrates the present invention, but does not therefore limit the present invention among described scope of embodiments.
With reference to figure 1-Fig. 4, introduce C2C system of the present invention, B2C system and using method thereof.
With reference to figure 1, this C2C system 1 comprises:
One database, for storing seller's database, stores the merchandise news of all commodity that this seller provides in each seller's database;
One input media 11, for inputting an order for buyer, this order comprises that this buyer asks the merchandise news of the commodity of buying;
One information collecting device 12, carry out data mining to obtain and the unique corresponding element information of each key element for this merchandise news of every commodity to this order according at least one key element, this key element comprises price key element, and this price key element is corresponding to the price of these commodity;
One information matches device 13, for every commodity for this order, according to this element information, each seller's database is carried out to the commodity that with this element information match of data mining to obtain that this seller provides, and obtain the lowest price of these commodity in this database and this seller of these commodity of this lowest price is provided;
One first calculation element 14, for calculating a benchmark, this benchmark is this lowest price sum of all commodity in this order;
One information integrated device 15, be used for generating sub-order, this sub-order is to generate like this: first commodity from this order start, search provides other commodity in this order that the seller of these first commodity provides, other commodity in these first commodity and this order are added in this sub-order, and the commodity in the subset that this sub-order is this order and this sub-order provide by same seller;
One second calculation element 16, for calculating a sub-order price, this sub-order price is the price sum of all commodity in this sub-order;
One comparison means 17, be used for this sub-order price and this benchmark comparison, and the sub-order price that is less than this benchmark is updated to new benchmark, and again enables this information integrated device and this second calculation element until all sub-orders have comprised all commodity in this order;
One output unit 18, for exporting all sub-orders to offer this buyer.
Wherein, this key element also comprises credit worthiness key element, comment key element, sales volume key element, freight charges key element and favor information key element.
Ginseng Fig. 2, the using method of C2C system 1 as shown in Figure 1 comprises the following steps:
Step S 1, obtain this order of buyer input by this input media;
Step S 2, this information collecting device according at least one key element to this merchandise news of every commodity in this order carry out data mining with obtain and the unique corresponding element information of each key element;
Step S 3, for every commodity in this order, this information matches device carries out the commodity that with this element information match of data mining to obtain that this seller provides according to this element information to each seller's database, and obtains the lowest price of these commodity in this database and this seller of these commodity of this lowest price is provided;
Step S 4, this first calculation element calculates this benchmark;
Step S 5, this information integrated device generates sub-order, this second calculation element calculates the sub-order price of this sub-order;
Step S 6, this comparison means is this sub-order price and this benchmark comparison, and the sub-order price that is less than this benchmark is updated to new benchmark, and again performs step S 5until all sub-orders have comprised all commodity in this order;
Step S 7, this output unit exports all sub-orders to offer this buyer.
With reference to figure 3, this B2C system 2 comprises:
One database, for store electricity quotient data storehouse, stores the merchandise news of all commodity that this electricity business provides in each electric quotient data storehouse;
One input media 21, for inputting an order for buyer, this order comprises that this buyer asks the merchandise news of the commodity of buying;
One information collecting device 22, carry out data mining to obtain and the unique corresponding element information of each key element for this merchandise news of every commodity to this order according at least one key element, this key element comprises price key element, and this price key element is corresponding to the price of these commodity;
One information matches device 23, for every commodity for this order, carries out the commodity that with this element information match of data mining to obtain that this electricity business provides according to this element information to each electric quotient data storehouse;
One calculation element 24, for calculating the price sum of all commodity of this order that each electric business provides;
One output unit 25, for exporting this price sum to offer this buyer.
Wherein, this output unit 25 is for exporting from low to high this price sum.
And this key element also comprises credit worthiness key element, comment key element, sales volume key element, freight charges key element and favor information key element.
With reference to figure 4, the using method of B2C system 2 as shown in Figure 3, comprises the following steps:
Step T 1, obtain this order of buyer input by this input media;
Step T 2, this information collecting device according at least one key element to this merchandise news of every commodity in this order carry out data mining with obtain and the unique corresponding element information of each key element;
Step T 3, for every commodity in this order, this information matches device carries out the commodity that with this element information match of data mining to obtain that this electricity business provides according to this element information to each electric quotient data storehouse;
Step T 4, this calculation element calculates the price sum of all commodity in this order that each electric business provides;
Step T 5, this output unit exports this price sum to offer this buyer.
Wherein, step T 5in this output unit for exporting from low to high this price sum.
For instance, step of searching best price commodity of the present invention is:
(1), user inputs trade name, inquires commodity, the commodity of an optional coupling, add system shopping cart by commodity, suppose now and have N commodity in shopping cart.
(2), enter optimum rate of exchange function by shopping cart, each commodity has different businessmans, according to the match information of commodity in system, lists a series of commodity that same commodity mate.Each commodity has the information such as price, credit worthiness, comment number, sales volume.
(3), the commodity that match of screening, credit worthiness, comment number, sales volume do not have clear and definite division threshold values.If selected credit worthiness (excellent, fine, good, general, poor) is for well, the commodity that match are so entirely for general, so now just there is no the commodity that can select, can only be according to sorting to difference from excellent, and front 60% commodity screen as conforming articls.Comment number and sales volume are taked same mode.
(4), filter after remaining commodity by above-mentioned round-robin algorithm, obtain the total price in various combination situation, according to sequence from low to high for consumer's selection.
C2C system of the present invention, B2C system and using method thereof, provide a kind of price comprehensive mode relatively, it does not rely on artificial calculating comparison, in the time of item retrieves, just can retrieve required commodity comprehensively, be not easy undetected, and computation process by the automation equipments such as computing machine complete, result of calculation is accurate, troublesome operation and the repetitive operation of manual retrieval, calculating, comparison are removed from, greatly alleviate user's burden, can also comparatively accurately calculate the scheme of composite price optimum, the shopping that has promoted user is experienced simultaneously.
Although more than described the specific embodiment of the present invention, it will be understood by those of skill in the art that these only illustrate, protection scope of the present invention is limited by appended claims.Those skilled in the art is not deviating under the prerequisite of principle of the present invention and essence, can make various changes or modifications to these embodiments, but these changes and modification all fall into protection scope of the present invention.

Claims (10)

1. a C2C system, is characterized in that, it comprises:
One database, for storing seller's database, stores the merchandise news of all commodity that this seller provides in each seller's database;
One input media, for inputting an order for buyer, this order comprises that this buyer asks the merchandise news of the commodity of buying;
One information collecting device, carry out data mining to obtain and the unique corresponding element information of each key element for this merchandise news of every commodity to this order according at least one key element, this key element comprises price key element, and this price key element is corresponding to the price of these commodity;
One information matches device, for every commodity for this order, according to this element information, each seller's database is carried out to the commodity that with this element information match of data mining to obtain that this seller provides, and obtain the lowest price of these commodity in this database and this seller of these commodity of this lowest price is provided;
One first calculation element, for calculating a benchmark, this benchmark is this lowest price sum of all commodity in this order;
One information integrated device, be used for generating sub-order, this sub-order is to generate like this: first commodity from this order start, search provides other commodity in this order that the seller of these first commodity provides, other commodity in these first commodity and this order are added in this sub-order, and the commodity in the subset that this sub-order is this order and this sub-order provide by same seller;
One second calculation element, for calculating a sub-order price, this sub-order price is the price sum of all commodity in this sub-order;
One comparison means, be used for this sub-order price and this benchmark comparison, and the sub-order price that is less than this benchmark is updated to new benchmark, and again enables this information integrated device and this second calculation element until all sub-orders have comprised all commodity in this order;
One output unit, for exporting all sub-orders to offer this buyer.
2. C2C system as claimed in claim 1, is characterized in that, this key element also comprises one or more in credit worthiness key element, comment key element, sales volume key element, freight charges key element and favor information key element.
3. a using method for C2C system as claimed in claim 1, is characterized in that, comprises the following steps:
Step S 1, obtain this order of buyer input by this input media;
Step S 2, this information collecting device according at least one key element to this merchandise news of every commodity in this order carry out data mining with obtain and the unique corresponding element information of each key element;
Step S 3, for every commodity in this order, this information matches device carries out the commodity that with this element information match of data mining to obtain that this seller provides according to this element information to each seller's database, and obtains the lowest price of these commodity in this database and this seller of these commodity of this lowest price is provided;
Step S 4, this first calculation element calculates this benchmark;
Step S 5, this information integrated device generates sub-order, this second calculation element calculates the sub-order price of this sub-order;
Step S 6, this comparison means is this sub-order price and this benchmark comparison, and the sub-order price that is less than this benchmark is updated to new benchmark, and again performs step S 5until all sub-orders have comprised all commodity in this order;
Step S 7, this output unit exports all sub-orders to offer this buyer.
4. the using method of C2C system as claimed in claim 3, is characterized in that, this key element also comprises one or more in credit worthiness key element, comment key element, sales volume key element, freight charges key element and favor information key element.
5. a B2C system, is characterized in that, it comprises:
One database, for store electricity quotient data storehouse, stores the merchandise news of all commodity that this electricity business provides in each electric quotient data storehouse;
One input media, for inputting an order for buyer, this order comprises that this buyer asks the merchandise news of the commodity of buying;
One information collecting device, carry out data mining to obtain and the unique corresponding element information of each key element for this merchandise news of every commodity to this order according at least one key element, this key element comprises price key element, and this price key element is corresponding to the price of these commodity;
One information matches device, for every commodity for this order, carries out the commodity that with this element information match of data mining to obtain that this electricity business provides according to this element information to each electric quotient data storehouse;
One calculation element, for calculating the price sum of all commodity of this order that each electric business provides;
One output unit, for exporting this price sum to offer this buyer.
6. B2C system as claimed in claim 5, is characterized in that, this output unit is for exporting from low to high this price sum.
7. B2C system as claimed in claim 5, is characterized in that, this key element also comprises one or more in credit worthiness key element, comment key element, sales volume key element, freight charges key element and favor information key element.
8. a using method for B2C system as claimed in claim 5, is characterized in that, comprises the following steps:
Step T 1, obtain this order of buyer input by this input media;
Step T 2, this information collecting device according at least one key element to this merchandise news of every commodity in this order carry out data mining with obtain and the unique corresponding element information of each key element;
Step T 3, for every commodity in this order, this information matches device carries out the commodity that with this element information match of data mining to obtain that this electricity business provides according to this element information to each electric quotient data storehouse;
Step T 4, this calculation element calculates the price sum of all commodity in this order that each electric business provides;
Step T 5, this output unit exports this price sum to offer this buyer.
9. the using method of B2C system as claimed in claim 8, is characterized in that, step T 5in this output unit for exporting from low to high this price sum.
10. the using method of B2C system as claimed in claim 8, is characterized in that, this key element also comprises one or more in credit worthiness key element, comment key element, sales volume key element, freight charges key element and favor information key element.
CN201210581177.6A 2012-12-27 2012-12-27 C2C system, B2C system, and application methods thereof Pending CN103903148A (en)

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CN106688007A (en) * 2015-10-08 2017-05-17 华为技术有限公司 Online shopping method and related equipment
CN105761131A (en) * 2016-02-05 2016-07-13 朱亮红 Commodity trading system and commodity trading method
CN106097032A (en) * 2016-05-26 2016-11-09 维沃移动通信有限公司 Commodity price-comparing method and mobile terminal thereof
CN107103520A (en) * 2017-05-08 2017-08-29 深圳市思域网络技术有限公司 Smart shopper price comparing method and system
CN109919703A (en) * 2019-01-16 2019-06-21 浙江口碑网络技术有限公司 Store information processing method, device, system, storage medium and computer equipment

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