CN107274220A - A kind of online price low buy of member system sells house method soon - Google Patents

A kind of online price low buy of member system sells house method soon Download PDF

Info

Publication number
CN107274220A
CN107274220A CN201710438806.2A CN201710438806A CN107274220A CN 107274220 A CN107274220 A CN 107274220A CN 201710438806 A CN201710438806 A CN 201710438806A CN 107274220 A CN107274220 A CN 107274220A
Authority
CN
China
Prior art keywords
house
room
person
lessor
price
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710438806.2A
Other languages
Chinese (zh)
Inventor
张和强
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN201710438806.2A priority Critical patent/CN107274220A/en
Publication of CN107274220A publication Critical patent/CN107274220A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0278Product appraisal
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0623Item investigation
    • G06Q30/0625Directed, with specific intent or strategy
    • G06Q30/0629Directed, with specific intent or strategy for generating comparisons
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0645Rental transactions; Leasing transactions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/16Real estate

Landscapes

  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Development Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Economics (AREA)
  • Tourism & Hospitality (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Game Theory and Decision Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

House method is sold soon the invention discloses a kind of online price low buy of member system, the house transaction method calculates the price in house by server automatically according to the basic condition and external factor in house, the home price or rent struck a bargain by this kind of method is more reasonable, and because price uses Login Approach, reduce purchase both sides or rent a house and hire out the time stopped over because of price problem of both sides, improve conclusion of the business efficiency.

Description

A kind of online price low buy of member system sells house method soon
Technical field
House side is sold soon the present invention relates to a kind of house transaction method, more particularly to a kind of online price low buy of member system Method.
Background technology
Real estate " foamed " is global problem, and high housing prices make room rate substantial deviation house from the personal value, market price, need Seek valency.The wide deep room rate for waiting a line city of going up north is even more high " going against accepted conventions ", and this not only makes the house purchaser " Wang Fangxing for having residential needs Sigh ", exchange hand increasingly atrophy is merchandised increasingly light, also general financial risks may be triggered to hide some dangers for for " room rate slump ".
Under traditional real estate intermediary's mode of doing business, either on line or under line, because reale state speculator's interference is too many, make Buyer, seller lack to be trusted each other, and both sides are difficult to reach an agreement with regard to price.Even if there is conclusion of the business possible, Model of Buying House link complexity, Mutual mistrust, waste time and energy, time cost and human cost are high.Even if concluding the transaction, the indivedual highests often struck a bargain Price is by house property medium or media as the market price, and the mark post when dealing as after is negotiated a price is referred to, and personal buyer is all the time The passive weak position of agreed-upon price is in, bargaining power is low.This is just objective to cause that market is opaque, be twisted, unjust to buyer It is flat.If things go on like this, the sound development to real estate intermediary is unfavorable, damages real estate market trading efficiency.
Current country advocates " internet+" strategy energetically, conventional industries is transformed and lifted with Internet technology and including room Produce the service trade including intermediary, the extensive utilization of the technology such as artificial intelligence, modern communicationses, network social intercourse, for the traditional house property of transformation The pattern of intermediary's industry provides feasibility, allows society and personal real estate really to move up, benefits the whole society.
The content of the invention
It is a primary object of the present invention to provide a kind of online price low buy of member system to sell house method soon, pass through the transaction Method can make the basis of price or rental price in house more reasonable.
To achieve the above objectives, the technical solution adopted by the present invention is:A kind of online price low buy of member system sells house soon Method, it is characterised in that comprise the following steps:
Step one:The person that sells room and house purchaser or lessor and tenant enter row information by client and registered, the letter Breath includes sell room person or the personal information and houseclearing of lessor and the personal information and room of house purchaser or tenant Room demand information, the house demand information at least includes room rate or rent that house purchaser or tenant can bear, institute State information to upload onto the server by client, the room rate or rent that sell room person or the lessor provides are flat less than market Average price;
Step 2:Server calculates the reference price in house according to the houseclearing and external factor;
Step 3:The room rate or rent that can bear according to the reference price and house purchaser or tenant are to selling room Person and house purchaser or lessor and tenant are matched;
Step 4:The house purchaser of successful matching and the person that sells room or tenant and lessor are screened mutually and determined final Home price, the home price is less than the room rate or rent and the reference price in house that sell room person or the lessor provides Lattice;
Step 5:Qualification testing is carried out to the house purchaser after screening and the person that sells room or tenant and lessor;
Step 6:House purchaser and the person that sells room or tenant and lessor are provided with corresponding qualification, sign house deal Contract or contract of renting a house, finally strike a bargain.
Preferably, in step 2, the external factor includes the average room in environment situation, price, current this area Valency or rent, local resident's purchasing power.
Preferably, in step 3, after the match is successful, server is by house purchaser and the person that sells room or lessor and rents a house The relevant information of person is sent to other side.
Preferably, in step 4, in mutual screening, house purchaser and the person that sells room or lessor and tenant both sides are logical The scene crossed is checked, the mode of many contrasts is screened.
Preferably, in addition to step 7:Transaction data is preserved.
Compared with prior art, the invention has the advantages that:
1) this method is for for thinking the people that buys house or rent a house at a low price and thinking house is sold or is leased people as early as possible There is provided, the demand of both parties is realized by way of " low buy is sold soon ";Meanwhile, in order to ensure the credible journey of both parties Degree, this method uses member system, and the agreement of correlation must be signed before as member, receives the theory of this method;
2) by using member system, the people as member needs to sign corresponding agreement, so ensure that transaction The confidence level of platform, and then the probability of transaction that can be improved;New member can be developed or by internet by member simultaneously Social functions develop member, member is more, and the confidence level of platform is also higher, probability of transaction also can be higher;
3) this method calculates the reference price in house by considering many factors, due to consideration that many factors, this The positioning for allowing for room rate is more reasonable;Simultaneously as Login Approach is employed, and the both sides matched are that can receive this Price, this improves conclusion of the business efficiency.
Embodiment
Describe to be used to disclose the present invention below so that those skilled in the art can realize the present invention.It is excellent in describing below Embodiment is selected to be only used as citing, it may occur to persons skilled in the art that other obvious modifications.
A kind of online price low buy of member system sells house method soon, comprises the following steps:
Step 1:Register as house transaction platform member
Need to sign corresponding agreement during registration, that is, need to accept theory and the counterparty of the method for commerce Formula.Meanwhile, during registration, house purchaser or tenant need to fill in the basic document of oneself and house-purchase or rent a house to need Ask, wherein demand of purchasing house or rent a house is including acceptable room rate or rent, position, surrounding enviroment etc., the person of selling house or Lessor needs to fill in the essential information in the basic document of oneself and house, the essential information in house can include room rate or Position, surrounding enviroment, house type, floor space, age of dwellings where rent, house etc..Also, what this platform was pursued is a kind of house " low buy is sold soon ", i.e. house purchaser or tenant wishes to buy house with lower price or rents house, and the person of selling house Or lessor wishes house is sold or hired out away and then room rate that the person of selling house outputs or lessor output as early as possible Rent is less than market flat fare, and such house purchaser or tenant can be bought or be rented house by lower price, and House can be sold or hired out away as soon as possible by the person of selling house or lessor, by when registering member the agreement signed come Each member is constrained to ensure the implementation of " low buy is sold soon ".
Wherein, house purchaser, tenant, the person of selling house and lessor can be introduced by sponsor, fill in a form registration etc. mode As member., can be on mobile phone or computer also, the process of registration member needs to complete in client, specifically Webpage or App, house purchaser, tenant, the person of selling house or lessor when registering member the data filled in after preservation on Pass to cloud server.The house-purchase filled in simultaneously for house purchaser or tenant or the demand of renting a house can be by clients Modify, the room rate or rent in the house that the person of selling house or lessor fill in etc. can be modified by client.
Step 2:The reference value of the reference price, i.e. room rate or rent in cloud server automatic measurement & calculation house
The essential information and external factor in the house that cloud server is filled according to the person of selling house or lessor is calculated The reference price in house.The essential information in house is provided by the person of selling house or lessor when registering member, and external factor includes Environment situation, price, the average room rate in current this area or rent, local resident's purchasing power etc..A variety of sides can be passed through Formula calculates room rate or rent, specifically, can be calculated by using the form of scale factor, such as:The person's of selling house bid 100 Ten thousand, if surrounding enviroment very well, determine scale factor 1.1, the room rate now calculated is 110, the like, by other factors The room rate or rent finally calculated is can be obtained by after taking into account.
Step 3:Matching sell room person and house purchaser or lessor and tenant
The price of the reference price in house and house purchaser or tenant's demand is contrasted and matched, by successful matching The person that sells room and house purchaser or lessor and tenant enter row information push, will the person of selling house or lessor contact method Etc. essential information and the essential information including house and the room rate or rent that are calculated automatically by cloud server are sent to purchase Room person or tenant, by the essential informations such as the contact method of house purchaser or tenant, demand of renting a house and by cloud service Room rate or the rent person of selling house or lessor that device is calculated automatically, the user of successful matching directly can be carried out by client Exchange, can also be exchanged by way of outside client such as phone.
In pairing, as long as the room rate or rent that can provide house purchaser or tenant are by cloud server The a range of situation of room rate or rent of calculating can be defined as successful matching, for example, the room rate calculated is 100 Ten thousand, 10% fluctuation can be allowed, situation of the price that such house purchaser provides within 900,000-110 ten thousand can be pairing Success.
Step 4:Determine purpose
After successful matching, in fact it could happen that the person that sells room and multiple house purchaser's successful matchings, it is also possible to occur multiple selling room Person and house purchaser's successful matching, similarly, rent a house and same situation also occur.These, sell room person and house purchaser or go out Rent person and tenant need to check that basal conditions, many comparisons and the consulting of other situations in house are finally determined by scene Man-to-man relation, and determine final price, price and service that final price should be provided less than the person of selling house or lessor Minimum value in both reference price that device is calculated, with ensure buyer or tenant can be bought with relatively low price or Rent house.
Step 5:Complete every preparation routine before striking a bargain
, it is necessary to verify the true of seller house and every legal proof file for for house purchaser or tenant Property, confirm that house does not have mortgaged etc., it is necessary to verify that the true house-purchase wish of house purchaser, society are sincere for the person that sells room Degree and purchasing-houses power.These above-mentioned verification process can be completed by client., it is necessary to verify taxi for tenant Room
Step 6:Strike a bargain
For house deal, conclusion of the business is determined by netting label mode, can directly be inquired by the client is No net is signed and determines whether to strike a bargain.After conclusion of the business, the person of selling house obtains cash, and house purchaser obtains house, under the assistance of related personnel Complete the transference of title of property and registration of house.
Step 7:Data are preserved
Every transaction data is kept, reference can be provided for later transaction.
General principle, principal character and the advantages of the present invention of the present invention has been shown and described above.The technology of the industry Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and that described in above-described embodiment and specification is the present invention Principle, various changes and modifications of the present invention are possible without departing from the spirit and scope of the present invention, these change and Improvement is both fallen within the range of claimed invention.The protection domain of application claims by appended claims and its Equivalent is defined.

Claims (5)

1. a kind of online price low buy of member system sells house method soon, it is characterised in that comprise the following steps:
Step one:The person that sells room and house purchaser or lessor and tenant enter row information by client and registered, described information bag Including the personal information and house of sell room person or the personal information and houseclearing of lessor and house purchaser or tenant needs Information is sought, the house demand information at least includes room rate or rent that house purchaser or tenant can bear, the letter Breath is uploaded onto the server by client, and the houseclearing at least includes room rate or the rent that sell room person or lessor provides Gold, the room rate or rent that sell room person or the lessor provides is less than market flat fare;
Step 2:Server calculates the reference price in house according to the houseclearing and external factor;
Step 3:The room rate or rent that can bear according to the reference price and house purchaser or tenant to the person that sells room and House purchaser or lessor and tenant are matched;
Step 4:The house purchaser of successful matching and the person that sells room or tenant and lessor are screened mutually and final house is determined Price, the home price is less than the room rate or rent and the reference price in house that sell room person or the lessor provides;
Step 5:Qualification testing is carried out to the house purchaser after screening and the person that sells room or tenant and lessor;
Step 6:House purchaser and the person that sells room or tenant and lessor are provided with corresponding qualification, sign estate trade contract Or contract of renting a house, finally strike a bargain.
2. a kind of online price low buy of member system according to claim 1 sells house method soon, it is characterised in that in step In two, the external factor includes environment situation, price, the average room rate in current this area or rent, local resident and purchased Buy power.
3. a kind of online price low buy of member system according to claim 1 sells house method soon, it is characterised in that in step In three, after the match is successful, the relevant information of house purchaser and the person that sells room or lessor and tenant are sent to pair by server Side.
4. a kind of online price low buy of member system according to claim 1 sells house method soon, it is characterised in that in step In four, in mutual screening, house purchaser and the person that sells room or lessor and tenant both sides are checked by scene, many contrasts Mode is screened.
5. a kind of online price low buy of member system according to claim 1 sells house method soon, it is characterised in that also include Step 7:Transaction data is preserved.
CN201710438806.2A 2017-06-12 2017-06-12 A kind of online price low buy of member system sells house method soon Pending CN107274220A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710438806.2A CN107274220A (en) 2017-06-12 2017-06-12 A kind of online price low buy of member system sells house method soon

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710438806.2A CN107274220A (en) 2017-06-12 2017-06-12 A kind of online price low buy of member system sells house method soon

Publications (1)

Publication Number Publication Date
CN107274220A true CN107274220A (en) 2017-10-20

Family

ID=60067427

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710438806.2A Pending CN107274220A (en) 2017-06-12 2017-06-12 A kind of online price low buy of member system sells house method soon

Country Status (1)

Country Link
CN (1) CN107274220A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108961054A (en) * 2018-06-26 2018-12-07 方卫均 A kind of houseclearing transaction platform

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1682230A (en) * 2002-09-20 2005-10-12 利得公司 Estate group purchasing matching system
CN102903064A (en) * 2012-10-11 2013-01-30 宋剑 Renting deciding method and system
CN103700003A (en) * 2013-12-30 2014-04-02 陶鹏 House online direct renting method and system based on wish conformity matching
CN106803192A (en) * 2017-01-17 2017-06-06 上海百林通信网络科技服务股份有限公司 A kind of supporting impact evaluation method of the environment and surrounding of real estate

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1682230A (en) * 2002-09-20 2005-10-12 利得公司 Estate group purchasing matching system
CN102903064A (en) * 2012-10-11 2013-01-30 宋剑 Renting deciding method and system
CN103700003A (en) * 2013-12-30 2014-04-02 陶鹏 House online direct renting method and system based on wish conformity matching
CN106803192A (en) * 2017-01-17 2017-06-06 上海百林通信网络科技服务股份有限公司 A kind of supporting impact evaluation method of the environment and surrounding of real estate

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108961054A (en) * 2018-06-26 2018-12-07 方卫均 A kind of houseclearing transaction platform

Similar Documents

Publication Publication Date Title
US6366891B1 (en) Data processing system for conducting a modified on-line auction
US6671674B1 (en) Computer-based auction and sale system
US20190206002A1 (en) Systems, methods, and devices for facilitating property based transactions
US20100153278A1 (en) Web sites that introduce a seller to a universe of buyers, web sites that receive a buyer's listing of what he wants to buy, other introduction web sites, systems using introduction web sites and internet-based introductions
US20060167710A1 (en) Method and system for registering potential acquirers of assets that are not currently on the market
CN105981057A (en) Position-based work flow and service
US20170116691A1 (en) Network Enabled System and Method for Transacting Property Sales and Rentals without a Real Estate Agent
CN106097082A (en) The method and system of the action of the auction of product or service is performed by communication network
US20170337649A1 (en) Asset management system with convergent profit structure linked to real estate and movable assets
US20210342869A1 (en) Time Interval Geolocation Community Objects with Price-Time Priority Queues for Transformed Time Interval Geolocation Units
CN107274220A (en) A kind of online price low buy of member system sells house method soon
AlSheikh et al. Consumers' trust and popularity of negative posts in social media: A case study on the integration between B2C and C2C business models
KR101767183B1 (en) Real estate transactions pluralistic information system between companies
US11995657B2 (en) Assessing risk over a contingent asset lifecycle
Vaidyanathan et al. A five-factor framework for analyzing online risks in e-businesses
US20080021843A1 (en) Method for assisting negotiation which uses a dialectic scaffolding process
Le Ngan et al. Influencing Factors of Cross-border E-commerce Consumer Purchase Intention in Hanoi
Amin et al. B-dropshipper: Interoperable federal blockchain approaches for real estate dropshipping
CN102682387A (en) Method for bidding and selecting house on line and system thereof
KR102459829B1 (en) Real estate stuff sale system and method
JP2002245266A (en) Map information auction method, map information auction system and mobile communications terminal
US20230188351A1 (en) Using a public benefit assets secure token
Menghini Transferable development rights (TDR) in Switzerland: simulating a TDR market with agent-based modeling
US20230186386A1 (en) Identifying a public benefit assets secure token
US20160260165A1 (en) Method for a Marketplace for Bills of Materials

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20171020

RJ01 Rejection of invention patent application after publication