CN105205188A - Method and device for recommending purchase material suppliers - Google Patents

Method and device for recommending purchase material suppliers Download PDF

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Publication number
CN105205188A
CN105205188A CN201510742397.6A CN201510742397A CN105205188A CN 105205188 A CN105205188 A CN 105205188A CN 201510742397 A CN201510742397 A CN 201510742397A CN 105205188 A CN105205188 A CN 105205188A
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supplier
search
data source
user
buying material
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尚积栋
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Yonyou Network Technology Co Ltd
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Yonyou Network Technology Co Ltd
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Priority to CN201510742397.6A priority Critical patent/CN105205188A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention provides a method and a device for recommending purchase material suppliers. The method for recommending the purchase material suppliers comprises steps as follows: receiving a purchase material input by a user; searching suppliers of the purchase material from preset data sources according to the purchase material; recommending the searched suppliers to the user for selection. According to the technical scheme, the problems of long supplier searching time period and unoptimistic result due to subjective artificial supplier searching by purchasing staff can be solved, meanwhile, the problem of higher cost caused by a bid and tender mode for supplier selection is solved, and the technical effects that the material suppliers are simply and conveniently determined with short time and low cost are realized.

Description

The recommend method of buying material supply business and recommendation apparatus
Technical field
The present invention relates to technical field of data processing, purchase the recommend method of material supply business and a kind of recommendation apparatus purchasing material supply business in particular to a kind of.
Background technology
At present, in enterprise procurement link, enterprise first find supplier time often by the personal experience of purchasing agent from enterprise's Yellow Page or internet platform relevant search information, or artificially subjectively select certain supplier due to interest relations.But the experience subjectivity with purchasing agent selects supplier can cause selecting the result of supplier not objective, and may choose inappropriate supplier, the time selecting the process need of supplier to expend is longer, causes the increase of enterprise cost simultaneously.
Therefore and be not suitable for length consuming time, bidding and tendering process that cost is high in addition, because the kind of enterprise's daily buying material is many, buying is frequent.
Therefore, how can avoid purchasing agent subjective artificial select the prerequisite of supplier under, realize consuming time short, cost cost is low and determine the technical matters that material supply business becomes urgently to be resolved hurrily simply and easily.
Summary of the invention
The present invention just based on above-mentioned technical matters one of at least, propose the suggested design of a kind of buying material supply business newly, procurement staff's subjectivity can be avoided to find supplier artificially and cause finding the problem that the time cycle is long, result is pessimistic of supplier, it also avoid the way selection supplier and the problem that causes cost higher that adopt bid simultaneously, achieve consuming time short, cost cost is low and determine the technique effect of material supply business simply and easily.
In view of this, the present invention proposes a kind of recommend method purchasing material supply business, comprising: the buying material receiving user's input; According to described buying material, search for the supplier of described buying material from predetermined Data Source; Recommend the described supplier searched to described user, select for described user.
In this technical scheme, by receiving the buying material of user's input, and the supplier of material is purchased from the Data Source automatic search subscribed, and then the supplier that searches is recommended to user, select for user, make it possible to avoid procurement staff's subjectivity find supplier artificially and cause finding the problem that the time cycle is long, result is pessimistic of supplier, it also avoid the way selection supplier and the problem that causes cost higher that adopt bid simultaneously, achieve consuming time short, cost cost is low and determine the technique effect of material supply business simply and easily.
In technique scheme, preferably, described step of searching for the supplier of described buying material from predetermined Data Source specifically comprises: judge whether described user is provided with the Data Source searching for described supplier; When judging that described user is provided with the Data Source searching for described supplier, the Data Source arranged from described user searches for described supplier; And when judging that described user does not arrange the Data Source searching for described supplier, search for described supplier from the Data Source of acquiescence.
In this technical scheme, when user is provided with the Data Source of search supplier, by the Data Source search supplier arranged from user, make it possible to the procurement demand directional search supplier according to user, as carried out search to find supplier at cat website, sky, Sohu's door etc.And when user does not arrange the Data Source of search supplier, can from the Data Source search supplier of acquiescence.
In above-mentioned arbitrary technical scheme, preferably, according to described buying material, search for the step of the supplier of described buying material from predetermined Data Source before, also comprise: receive the search dimension that described user is arranged, described search dimension is for representing filtercondition when searching for the supplier of described buying material;
According to described buying material, the step of searching for the supplier of described buying material from predetermined Data Source specifically comprises: according to described buying material, and searches for the supplier of described buying material from described predetermined Data Source based on described search dimension.
In this technical scheme, by receiving the search dimension that user is arranged, to purchase the supplier of material from the search of predetermined Data Source based on search dimension, make it possible to the procurement demand directional search supplier according to user, meeting the supplier of some condition as filtered out, finding the supplier etc. meeting specified requirements.
In above-mentioned arbitrary technical scheme, preferably, the step of the described supplier searched is recommended specifically to comprise to described user: according to the information of the described supplier searched, to calculate the score of each described supplier; The described supplier searched is carried out sequence according to the sequence of the score of each described supplier show, to recommend to described user.
In this technical scheme, by calculating the score of each supplier, carrying out arrangement with the sequence of the score according to each supplier and showing, make user according to the score sequence of supplier, the supplier that score is high can be selected easily.
In above-mentioned arbitrary technical scheme, preferably, also comprise: the information of the described supplier that memory search arrives; When receiving the buying material that described user inputs again, from the information of the described supplier stored, preferentially search for the supplier of the buying material that described user inputs again.
In this technical scheme, the information of the supplier arrived by memory search, can carry out prioritizing selection when next time selects supplier, to shorten the time that next time finds supplier.
According to a further aspect in the invention, also proposed a kind of recommendation apparatus purchasing material supply business, comprising: receiving element, for receiving the buying material of user's input; Search unit, for according to described buying material, searches for the supplier of described buying material from predetermined Data Source; Recommendation unit, for recommending the described supplier searched to described user, selects for described user.
In this technical scheme, by receiving the buying material of user's input, and the supplier of material is purchased from the Data Source automatic search subscribed, and then the supplier that searches is recommended to user, select for user, make it possible to avoid procurement staff's subjectivity find supplier artificially and cause finding the problem that the time cycle is long, result is pessimistic of supplier, it also avoid the way selection supplier and the problem that causes cost higher that adopt bid simultaneously, achieve consuming time short, cost cost is low and determine the technique effect of material supply business simply and easily.
In technique scheme, preferably, described search unit comprises: judging unit, for judging whether described user is provided with the Data Source searching for described supplier; Performance element, during for judging that described user is provided with the Data Source searching for described supplier at described judging unit, the Data Source arranged from described user searches for described supplier, and during for judging that described user does not arrange the Data Source searching for described supplier at described judging unit, search for described supplier from the Data Source of acquiescence.
In this technical scheme, when user is provided with the Data Source of search supplier, by the Data Source search supplier arranged from user, make it possible to the procurement demand directional search supplier according to user, as carried out search to find supplier at cat website, sky, Sohu's door etc.And when user does not arrange the Data Source of search supplier, can from the Data Source search supplier of acquiescence.
In above-mentioned arbitrary technical scheme, preferably, described receiving element also for, receive described user arrange search dimension, described search dimension is for representing filtercondition when searching for the supplier of described buying material; Described search unit also for, according to described buying material, and search for the supplier of described buying material from described predetermined Data Source based on described search dimension.
In this technical scheme, by receiving the search dimension that user is arranged, to purchase the supplier of material from the search of predetermined Data Source based on search dimension, make it possible to the procurement demand directional search supplier according to user, meeting the supplier of some condition as filtered out, finding the supplier etc. meeting specified requirements.
In above-mentioned arbitrary technical scheme, preferably, described recommendation unit comprises: computing unit, for the information of described supplier searched according to described search unit, calculates the score of each described supplier; Display unit, the described supplier for being searched by described search unit carries out sequence according to the sequence of the score of each described supplier and shows, to recommend to described user.
In this technical scheme, by calculating the score of each supplier, carrying out arrangement with the sequence of the score according to each supplier and showing, make user according to the score sequence of supplier, the supplier that score is high can be selected easily.
In above-mentioned arbitrary technical scheme, preferably, also comprise: storage unit, for the information of the described supplier that memory search arrives; Described search unit also for, when described receiving element receives the buying material that described user inputs again, from the information of the described supplier that described storage unit has stored, preferentially search for the supplier of the buying material that described user inputs again.
In this technical scheme, the information of the supplier arrived by memory search, can carry out prioritizing selection when next time selects supplier, to shorten the time that next time finds supplier.
By above technical scheme, procurement staff's subjectivity can be avoided to find supplier artificially and cause finding the problem that the time cycle is long, result is pessimistic of supplier, it also avoid the way selection supplier and the problem that causes cost higher that adopt bid simultaneously, achieve consuming time short, cost cost is low and determine the technique effect of material supply business simply and easily.
Accompanying drawing explanation
Fig. 1 shows the schematic flow diagram of the recommend method purchasing material supply business according to an embodiment of the invention;
Fig. 2 shows the schematic block diagram of the recommendation apparatus purchasing material supply business according to an embodiment of the invention;
Fig. 3 shows the schematic block diagram of the commending system purchasing material supply business according to an embodiment of the invention;
Fig. 4 shows the reciprocal process schematic diagram of each module in the commending system purchasing material supply business according to an embodiment of the invention.
Embodiment
In order to more clearly understand above-mentioned purpose of the present invention, feature and advantage, below in conjunction with the drawings and specific embodiments, the present invention is further described in detail.It should be noted that, when not conflicting, the feature in the embodiment of the application and embodiment can combine mutually.
Set forth a lot of detail in the following description so that fully understand the present invention; but; the present invention can also adopt other to be different from other modes described here and implement, and therefore, protection scope of the present invention is not by the restriction of following public specific embodiment.
Fig. 1 shows the schematic flow diagram of the recommend method purchasing material supply business according to an embodiment of the invention.
As shown in Figure 1, purchase the recommend method of material supply business according to an embodiment of the invention, comprising:
Step 102, receives the buying material of user's input;
Step 104, according to described buying material, searches for the supplier of described buying material from predetermined Data Source;
Step 106, recommends the described supplier searched, selects for described user to described user.
In this technical scheme, by receiving the buying material of user's input, and the supplier of material is purchased from the Data Source automatic search subscribed, and then the supplier that searches is recommended to user, select for user, make it possible to avoid procurement staff's subjectivity find supplier artificially and cause finding the problem that the time cycle is long, result is pessimistic of supplier, it also avoid the way selection supplier and the problem that causes cost higher that adopt bid simultaneously, achieve consuming time short, cost cost is low and determine the technique effect of material supply business simply and easily.
In technique scheme, preferably, described step of searching for the supplier of described buying material from predetermined Data Source specifically comprises: judge whether described user is provided with the Data Source searching for described supplier; When judging that described user is provided with the Data Source searching for described supplier, the Data Source arranged from described user searches for described supplier; And when judging that described user does not arrange the Data Source searching for described supplier, search for described supplier from the Data Source of acquiescence.
In this technical scheme, when user is provided with the Data Source of search supplier, by the Data Source search supplier arranged from user, make it possible to the procurement demand directional search supplier according to user, as carried out search to find supplier at cat website, sky, Sohu's door etc.And when user does not arrange the Data Source of search supplier, can from the Data Source search supplier of acquiescence.
In above-mentioned arbitrary technical scheme, preferably, according to described buying material, search for the step of the supplier of described buying material from predetermined Data Source before, also comprise: receive the search dimension that described user is arranged, described search dimension is for representing filtercondition when searching for the supplier of described buying material;
According to described buying material, the step of searching for the supplier of described buying material from predetermined Data Source specifically comprises: according to described buying material, and searches for the supplier of described buying material from described predetermined Data Source based on described search dimension.
In this technical scheme, by receiving the search dimension that user is arranged, to purchase the supplier of material from the search of predetermined Data Source based on search dimension, make it possible to the procurement demand directional search supplier according to user, meeting the supplier of some condition as filtered out, finding the supplier etc. meeting specified requirements.
In above-mentioned arbitrary technical scheme, preferably, the step of the described supplier searched is recommended specifically to comprise to described user: according to the information of the described supplier searched, to calculate the score of each described supplier; The described supplier searched is carried out sequence according to the sequence of the score of each described supplier show, to recommend to described user.
In this technical scheme, by calculating the score of each supplier, carrying out arrangement with the sequence of the score according to each supplier and showing, make user according to the score sequence of supplier, the supplier that score is high can be selected easily.
In above-mentioned arbitrary technical scheme, preferably, also comprise: the information of the described supplier that memory search arrives; When receiving the buying material that described user inputs again, from the information of the described supplier stored, preferentially search for the supplier of the buying material that described user inputs again.
In this technical scheme, the information of the supplier arrived by memory search, can carry out prioritizing selection when next time selects supplier, to shorten the time that next time finds supplier.
Fig. 2 shows the schematic block diagram of the recommendation apparatus purchasing material supply business according to an embodiment of the invention.
As shown in Figure 2, purchase the recommendation apparatus 200 of material supply business according to an embodiment of the invention, comprising: receiving element 202, search unit 204 and recommendation unit 206.
Wherein, receiving element 202, for receiving the buying material of user's input; Search unit 204, for according to described buying material, searches for the supplier of described buying material from predetermined Data Source; Recommendation unit 206, for recommending the described supplier searched to described user, selects for described user.
In this technical scheme, by receiving the buying material of user's input, and the supplier of material is purchased from the Data Source automatic search subscribed, and then the supplier that searches is recommended to user, select for user, make it possible to avoid procurement staff's subjectivity find supplier artificially and cause finding the problem that the time cycle is long, result is pessimistic of supplier, it also avoid the way selection supplier and the problem that causes cost higher that adopt bid simultaneously, achieve consuming time short, cost cost is low and determine the technique effect of material supply business simply and easily.
In technique scheme, preferably, described search unit 204 comprises: judging unit 2042, for judging whether described user is provided with the Data Source searching for described supplier; Performance element 2044, for when described judging unit 2042 judges that described user is provided with the Data Source searching for described supplier, the Data Source arranged from described user searches for described supplier, and for when described judging unit 2042 judges that described user does not arrange the Data Source searching for described supplier, search for described supplier from the Data Source of acquiescence.
In this technical scheme, when user is provided with the Data Source of search supplier, by the Data Source search supplier arranged from user, make it possible to the procurement demand directional search supplier according to user, as carried out search to find supplier at cat website, sky, Sohu's door etc.And when user does not arrange the Data Source of search supplier, can from the Data Source search supplier of acquiescence.
In above-mentioned arbitrary technical scheme, preferably, described receiving element 202 also for, receive described user arrange search dimension, described search dimension is for representing filtercondition when searching for the supplier of described buying material; Described search unit 204 also for, according to described buying material, and search for the supplier of described buying material from described predetermined Data Source based on described search dimension.
In this technical scheme, by receiving the search dimension that user is arranged, to purchase the supplier of material from the search of predetermined Data Source based on search dimension, make it possible to the procurement demand directional search supplier according to user, meeting the supplier of some condition as filtered out, finding the supplier etc. meeting specified requirements.
In above-mentioned arbitrary technical scheme, preferably, described recommendation unit 206 comprises: computing unit 2062, for the information of described supplier searched according to described search unit, calculates the score of each described supplier; Display unit 2064, the described supplier for being searched by described search unit 204 carries out sequence according to the sequence of the score of each described supplier and shows, to recommend to described user.
In this technical scheme, by calculating the score of each supplier, carrying out arrangement with the sequence of the score according to each supplier and showing, make user according to the score sequence of supplier, the supplier that score is high can be selected easily.
In above-mentioned arbitrary technical scheme, preferably, also comprise: storage unit 208, for the information of the described supplier that memory search arrives; Described search unit 204 also for, when described receiving element 202 receives the buying material that described user inputs again, from the information of the described supplier that described storage unit 208 has stored, preferentially search for the supplier of the buying material that described user inputs again.
In this technical scheme, the information of the supplier arrived by memory search, can carry out prioritizing selection when next time selects supplier, to shorten the time that next time finds supplier.
Fig. 3 shows the schematic block diagram of the commending system purchasing material supply business according to an embodiment of the invention.
As shown in Figure 3, the purchase requirement that the commending system of the buying material supply business that the present invention proposes proposes using purchasing agent is as input, the data searched out from internet or other platforms are as analysis data, the dimension utilizing prefabricated supplier to assess dimension or user's input carries out entry evaluation to supplier, and part supplier is exported, recommend enterprise procurement person.This system specifically comprises: Data Source formulator 302, search dimension formulator 304, data collector 306, data processor 308 and latent supply business storehouse 310, illustrate the major function of each several part below one by one:
One, the major function of Data Source formulator 302 is search sources when formulating search supplier, and can be some websites, also can be some supplier management cloud platform trusty.
Data Source formulator 302 first can preset part trusted site, such as sky cat website, and Sohu's door etc., other website can be added voluntarily by purchasing agent.Wherein, different websites has different effects, particularly: supplier management cloud platform, provider of supplier, for having searched supplier information; Portal website is for searching for supplier's exposure information; Government notice website is for searching for supplier information.
Data store organisation in Data Source formulator 302 is as shown in table 1:
Table 1
The step that Data Source formulator 302 provides user setup data to originate comprises:
1, user clicks setting, ejects and arranges interface;
2, user clicks the button adding and trust website;
3, combobox is selected to trust type of site, and type of site is exactly prefabricated address style;
4, input station dot address;
5, preserve, generate data and be stored into database.
The major function of two, searching for dimension formulator 304 is the index and the filtercondition that prepare supplier audition, this assembly can the index of the common supplier audition of preset part and filtercondition, as: there is the dimension such as time, network temperature (occurrence number) of negative press in scope of the enterprise, financial position, the last time.
Except prefabricated inspection target and filtercondition, search dimension formulator accepts the additional requirement that user adds simultaneously, and additional requirement is changed into filtercondition or search dimension, such as: user adds filtercondition supply of material area, as input North China.
After user adds additional requirement, the dimension preservation that user adds or deletes by search dimension formulator 304.
Data store organisation in search dimension formulator 304 is as shown in table 2:
Table 2
The index of search dimension formulator 304 pairs of supplier auditions and filtercondition to represent model as shown in table 3:
Table 3
The step that search dimension formulator 304 provides the index of user to supplier audition and filtercondition to arrange comprises:
1, search for dimension formulator 304 according to dimensional attribute information (whether classification, show), represent dimension;
2, after user's typing material information, if there is additional requirement to enter step 3, otherwise subsequent operation is skipped over;
3, user is according to prefabricated filtercondition or search dimension, judges whether the requirement meeting oneself, if met, enters step 4, otherwise enter step 5.
4, typing condition after the search condition needed, selects the search dimension needed, deletes unwanted.
If 5 prefabricated search conditions do not meet, can add voluntarily, and preserve; Equally, if search dimension is also wanted to increase, oneself adds equally.
6, current setting is preserved by user.
Three, the major function of data collector 306 is material information, the filtercondition of user's selection, the search dimensional information according to user's input, from the network address that Data Source formulator 302 sets, obtain supplier information, and structuring preservation after resolving.
Data collector 306 provides the operation steps of user as follows:
If 1, user needs oneself definition Data Source, then need to add in Data Source formulator to trust website, otherwise use prefabricated website;
2, material information to be purchased is inputted;
If 3 need subsidiary condition, then use search dimension formulator, select the search condition needed, and logging data;
If the information that 4 need oneself definition inquiry supplier to return, then need to add search dimension, otherwise use prefabricated search dimension;
5, " recommending supplier " button is clicked;
6, can select to export to Excel to the result of inquiry.
The Processing Algorithm of data collector 306 is as follows:
I, reading Data Source table, obtain the trust website that can be used for searching for, wherein address style is provider of supplier;
II, the material information reading typing and search condition;
III, walk provider of the supplier website obtained from I, material information will be obtained from II step, and search condition, search dimension is spliced into key word, and the hunting zone corresponding according to dimension, carry out search vendor name.
IV, according to search vendor name, and search dimension, carry out specific aim search.
Searching algorithm:
If comprise prefabricated dimension in 1 search dimension: as network temperature, then search for from portal website's (prefabricated type of site);
If comprise prefabricated dimension in 2 search dimensions: as exposure frequency, then from government notice site search;
If comprise other dimensional information in 3 search dimensions, as enterprise address etc., then search for from general internet platform or government notice website.
V, III is walked the supplier information obtained resolve.
Analytical algorithm for special search dimension:
1, for prefabricated dimension: as network temperature, return results middle filtration supplier occurrence number from what search for, number of times is more, represents that temperature is higher;
2, for prefabricated dimension: as exposure frequency, the middle number of times filtering supplier and be exposed is returned results from what search for;
3, for can quantified dimension, as scope of the enterprise, according in the supplier information that search returns, utilize registered enterprise fund+COMPREHENSIVE CALCULATING scopes of the enterprise such as (listing market value)+enterprise staff number of whether going on the market, wherein scope of the enterprise is prefabricated enumeration type.
VI, by resolve after result carry out structured storage, wherein, the storage list of supplier information is as shown in table 4:
Determinant attribute title Type Explanation
Vendor name Character Search for the vendor name returned
Supply of material material Character The material information of typing
Represent order Numerical value According to next step assessment algorithm, assignment
Table 4
The storage list of search dimensional information is as shown in table 5:
Table 5
Four, the data that data processor 308 is mainly collected according to data collector 306 are simply assessed through preliminary, filter out relatively qualified supplier, enterprise procurement person is exported in supplier's sequence.
Wherein, the assessment algorithm of data processor 308 is as follows:
1, the result that data collector 306 is collected is read;
2, for the supplier information that can quantize, such as: scope of the enterprise [small-sized, medium-sized, large-scale], network temperature [high, in, low], exposure frequency [numeric type], utilizes formulae discovery supplier score:
Supplier's score=∑ dimension quantized result value;
3, utilize supplier's score, sort on earth according to by height, and result is write the displaying sequence field of supplier information table;
4, supplier information is shown according to exhibition information, as shown in table 6;
5, supplier information is write latent supply business storehouse 310.
Table 6
Five, latent supply business storehouse 310 is mainly used in collecting each high-quality supplier's information finding supplier's process, and is indexed in the potential storehouse 310 of supplier, in the process that downstream industry cooperates with supplier again, can constantly update latent supply business storehouse 310.
During enterprise procurement next time, first can search for the supplier whether having satisfied buying condition from latent supply business storehouse 310; The storage data of latent supply business storehouse 310 correspondence are exactly the table 5 of the supplier information for stores processor result in data collector 306.
Above-mentioned Data Source formulator 302, search dimension formulator 304, data collector 306, reciprocal process between data processor 308 and latent supply business storehouse 310 as shown in Figure 4, specifically comprise:
Step 402, purchasing agent originates for Data Source formulator 302 setting data.This step is nonessential step.
Step 404, purchasing agent arranges search dimension for search dimension formulator 304.This step is nonessential step.
Step 406, purchasing agent inputs buying material.
Step 408, data collector 306 obtains the entry information of purchasing agent, as inspection target and the filtercondition of setting from search dimension formulator 304.
Step 410, data collector 306 obtains the Data Source of search from Data Source formulator 302.
Step 412, data processor 308 processes the data that data collector 306 searches.
Step 414, data processor 308 by the supplier information selected stored in latent supply business storehouse 310.
Step 416, the supplier information selected is fed back to purchasing agent by data processor 308.
The technical scheme of the above embodiment of the present invention achieves following effect: the way of bidding that national tendering law specifies has two kinds, is open bidding and invited bidding respectively.Open bidding calls for bid towards not specific object, and invited bidding is to potential concrete supplier bid; Open bidding supplier is very different, and workload is large, and the time is long; The prerequisite of invited bidding determines supplier's scope, causes supplier less, competitive poor.The scheme of the intelligent recommendation supplier that the present invention proposes combines the advantage of open bidding and invited bidding, large data are utilized to obtain relevant supplier information from related platform such as internets, namely specific supplier scope is not limited to, remove the flow process of supplier's bid simultaneously, greatly reduce cost and the time of enterprise bidding supplier, especially for the material of daily buying, itself do not need in strict accordance with bid flow process bid supplier, use intelligent recommendation system can more convenient and quicker, low cost the demand reaching bid supplier.Meanwhile, technical scheme of the present invention also can serve invited bidding, can be filtered out for the supplier of a certain material, and then can be carried out invited bidding by intelligent recommendation system.In addition, for daily buying, do not need to carry out bid, directly can send invitation to the supplier of the intelligent recommendation system recommendation that the present invention proposes.
More than be described with reference to the accompanying drawings technical scheme of the present invention, the present invention proposes the suggested design of a kind of buying material supply business newly, procurement staff's subjectivity can be avoided to find supplier artificially and cause finding the problem that the time cycle is long, result is pessimistic of supplier, it also avoid the way selection supplier and the problem that causes cost higher that adopt bid simultaneously, achieve consuming time short, cost cost is low and determine the technique effect of material supply business simply and easily.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (10)

1. purchase a material supply business's recommend method, it is characterized in that, comprising:
Receive the buying material of user's input;
According to described buying material, search for the supplier of described buying material from predetermined Data Source;
Recommend the described supplier searched to described user, select for described user.
2. the recommend method of buying material supply business according to claim 1, is characterized in that, described step of searching for the supplier of described buying material from predetermined Data Source specifically comprises:
Judge whether described user is provided with the Data Source searching for described supplier;
When judging that described user is provided with the Data Source searching for described supplier, the Data Source arranged from described user searches for described supplier; And
When judging that described user does not arrange the Data Source searching for described supplier, search for described supplier from the Data Source of acquiescence.
3. the recommend method of buying material supply business according to claim 1, it is characterized in that, according to described buying material, search for the step of the supplier of described buying material from predetermined Data Source before, also comprise: receive the search dimension that described user is arranged, described search dimension is for representing filtercondition when searching for the supplier of described buying material;
According to described buying material, the step of searching for the supplier of described buying material from predetermined Data Source specifically comprises:
According to described buying material, and search for the supplier of described buying material from described predetermined Data Source based on described search dimension.
4. the recommend method of buying material supply business according to claim 1, is characterized in that, recommends the step of the described supplier searched specifically to comprise to described user:
According to the information of the described supplier searched, calculate the score of each described supplier;
The described supplier searched is carried out sequence according to the sequence of the score of each described supplier show, to recommend to described user.
5. the recommend method of buying material supply business according to any one of claim 1 to 4, is characterized in that, also comprise:
The information of the described supplier that memory search arrives;
When receiving the buying material that described user inputs again, from the information of the described supplier stored, preferentially search for the supplier of the buying material that described user inputs again.
6. purchase a material supply business's recommendation apparatus, it is characterized in that, comprising:
Receiving element, for receiving the buying material of user's input;
Search unit, for according to described buying material, searches for the supplier of described buying material from predetermined Data Source;
Recommendation unit, for recommending the described supplier searched to described user, selects for described user.
7. the recommendation apparatus of buying material supply business according to claim 6, it is characterized in that, described search unit comprises:
Judging unit, for judging whether described user is provided with the Data Source searching for described supplier;
Performance element, during for judging that described user is provided with the Data Source searching for described supplier at described judging unit, the Data Source arranged from described user searches for described supplier, and during for judging that described user does not arrange the Data Source searching for described supplier at described judging unit, search for described supplier from the Data Source of acquiescence.
8. the recommendation apparatus of buying material supply business according to claim 6, is characterized in that:
Described receiving element also for, receive described user arrange search dimension, described search dimension is for representing filtercondition when searching for the supplier of described buying material;
Described search unit also for, according to described buying material, and search for the supplier of described buying material from described predetermined Data Source based on described search dimension.
9. the recommendation apparatus of buying material supply business according to claim 6, it is characterized in that, described recommendation unit comprises:
Computing unit, for the information of described supplier searched according to described search unit, calculates the score of each described supplier;
Display unit, the described supplier for being searched by described search unit carries out sequence according to the sequence of the score of each described supplier and shows, to recommend to described user.
10. the recommendation apparatus of the buying material supply business according to any one of claim 6 to 9, is characterized in that, also comprise: storage unit, for the information of the described supplier that memory search arrives;
Described search unit also for, when described receiving element receives the buying material that described user inputs again, from the information of the described supplier that described storage unit has stored, preferentially search for the supplier of the buying material that described user inputs again.
CN201510742397.6A 2015-11-04 2015-11-04 Method and device for recommending purchase material suppliers Pending CN105205188A (en)

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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105956896A (en) * 2016-04-15 2016-09-21 郑州悉知信息科技股份有限公司 Purchasing method, server and terminal equipment
CN106779909A (en) * 2016-11-21 2017-05-31 金蝶软件(中国)有限公司 Material matching process and device
CN106846007A (en) * 2016-12-24 2017-06-13 国网福建省电力有限公司 A kind of supplier's post-evaluation negative feed back control system
CN107357888A (en) * 2017-07-10 2017-11-17 北京小度信息科技有限公司 The offer method, apparatus and electronic equipment of raw material information
CN107748796A (en) * 2017-11-06 2018-03-02 国云科技股份有限公司 A kind of recommendation method of purchaser in exhibitions service
CN108830480A (en) * 2018-06-12 2018-11-16 恩龙实业(嘉兴)有限公司 A kind of ERP buying calculation method and its system
CN108876077A (en) * 2017-05-10 2018-11-23 上海迪塔班克数据科技有限公司 Material substitution solution matching system based on application field
CN109086920A (en) * 2018-07-19 2018-12-25 中国神华能源股份有限公司 Purchase of goods and materials prediction technique, device and material purchase management system
CN109785050A (en) * 2018-12-24 2019-05-21 北京航天智造科技发展有限公司 A kind of cloud resources of production matching recommended method and device
CN110705883A (en) * 2019-10-08 2020-01-17 四川云智造科技有限公司 Material demand processing device, method and equipment
CN112163704A (en) * 2020-09-29 2021-01-01 筑客网络技术(上海)有限公司 High-quality supplier prediction method for building material tender platform
CN112465564A (en) * 2020-12-11 2021-03-09 广东电网有限责任公司 Supplier recommendation method, device and terminal
CN113780914A (en) * 2020-11-25 2021-12-10 北京沃东天骏信息技术有限公司 Inventory allocation method and device

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090187441A1 (en) * 2008-01-22 2009-07-23 Im-Ontrack Inc. System and Method for Vendor Management
CN101882281A (en) * 2009-05-05 2010-11-10 张海潮 Method and system for reserving supplier for event
CN104346702A (en) * 2014-11-19 2015-02-11 成都实景信息技术有限公司 Raw material purchasing system for enterprise
CN104778207A (en) * 2015-03-11 2015-07-15 张翔 Comprehensive search engine method for online shopping and system thereof
CN104933604A (en) * 2015-07-14 2015-09-23 佛山市顺德区德塑信息咨询有限公司 Intelligent screening method of supply and demand information
CN104933200A (en) * 2015-07-14 2015-09-23 佛山市顺德区德塑信息咨询有限公司 Supply and demand information intelligent matching method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090187441A1 (en) * 2008-01-22 2009-07-23 Im-Ontrack Inc. System and Method for Vendor Management
CN101882281A (en) * 2009-05-05 2010-11-10 张海潮 Method and system for reserving supplier for event
CN104346702A (en) * 2014-11-19 2015-02-11 成都实景信息技术有限公司 Raw material purchasing system for enterprise
CN104778207A (en) * 2015-03-11 2015-07-15 张翔 Comprehensive search engine method for online shopping and system thereof
CN104933604A (en) * 2015-07-14 2015-09-23 佛山市顺德区德塑信息咨询有限公司 Intelligent screening method of supply and demand information
CN104933200A (en) * 2015-07-14 2015-09-23 佛山市顺德区德塑信息咨询有限公司 Supply and demand information intelligent matching method

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105956896A (en) * 2016-04-15 2016-09-21 郑州悉知信息科技股份有限公司 Purchasing method, server and terminal equipment
CN106779909A (en) * 2016-11-21 2017-05-31 金蝶软件(中国)有限公司 Material matching process and device
CN106846007A (en) * 2016-12-24 2017-06-13 国网福建省电力有限公司 A kind of supplier's post-evaluation negative feed back control system
CN108876077A (en) * 2017-05-10 2018-11-23 上海迪塔班克数据科技有限公司 Material substitution solution matching system based on application field
CN107357888A (en) * 2017-07-10 2017-11-17 北京小度信息科技有限公司 The offer method, apparatus and electronic equipment of raw material information
CN107357888B (en) * 2017-07-10 2021-06-15 北京星选科技有限公司 Method and device for providing raw material information and electronic equipment
CN107748796A (en) * 2017-11-06 2018-03-02 国云科技股份有限公司 A kind of recommendation method of purchaser in exhibitions service
CN108830480A (en) * 2018-06-12 2018-11-16 恩龙实业(嘉兴)有限公司 A kind of ERP buying calculation method and its system
CN109086920A (en) * 2018-07-19 2018-12-25 中国神华能源股份有限公司 Purchase of goods and materials prediction technique, device and material purchase management system
CN109785050A (en) * 2018-12-24 2019-05-21 北京航天智造科技发展有限公司 A kind of cloud resources of production matching recommended method and device
CN110705883A (en) * 2019-10-08 2020-01-17 四川云智造科技有限公司 Material demand processing device, method and equipment
CN112163704A (en) * 2020-09-29 2021-01-01 筑客网络技术(上海)有限公司 High-quality supplier prediction method for building material tender platform
CN112163704B (en) * 2020-09-29 2021-05-14 筑客网络技术(上海)有限公司 High-quality supplier prediction method for building material tender platform
CN113780914A (en) * 2020-11-25 2021-12-10 北京沃东天骏信息技术有限公司 Inventory allocation method and device
CN112465564A (en) * 2020-12-11 2021-03-09 广东电网有限责任公司 Supplier recommendation method, device and terminal

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Application publication date: 20151230