CN112435089B - Intelligent service system for house property transaction - Google Patents
Intelligent service system for house property transaction Download PDFInfo
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- CN112435089B CN112435089B CN202011308026.4A CN202011308026A CN112435089B CN 112435089 B CN112435089 B CN 112435089B CN 202011308026 A CN202011308026 A CN 202011308026A CN 112435089 B CN112435089 B CN 112435089B
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0609—Buyer or seller confidence or verification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0613—Third-party assisted
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/16—Real estate
- G06Q50/167—Closing
Abstract
The invention discloses an intelligent service system for real estate transaction, which comprises a seller module, a system scoring module, a buyer module, a data receiving module, a data processing module, a master control module, a salesman module and a display module; the seller module comprises a price reminding module, a house watching reminding module and a seller scoring module; the price reminding module is used for sending price change prompt information when the price of the house at the same position of the house property sold by the seller changes, the house watching prompt module is used for sending prompt information when someone reserves to watch the house property sold by the seller, and the seller scoring module is used for scoring the service by the seller; the buyer module comprises an online consultation module, a reservation queuing module and a seller scoring module; the online consultation module is used for online consultation of buyers, and consultation service personnel perform consultation reply. The invention can better provide service for the buyer and the seller.
Description
Technical Field
The invention relates to the field of real estate transaction, in particular to an intelligent service system for real estate transaction.
Background
A real estate transaction is a very specialized transaction. The types and kinds of house property trade are many, each trade needs to have different conditions, and different procedures and relevant handling procedures are observed. Many property rights are not standard, some can freely circulate, some restrict circulation, some prohibit circulation, and service system can be used to service the buyer and seller in the property trade process.
The existing service system has the defects that the service effect is not good enough, so that the buyers and sellers cannot obtain high-quality service, and the buyers and sellers cannot evaluate the service effect, so that a certain influence is brought to the use of the service system, and therefore, the intelligent service system for house property transaction is provided.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: how to solve the problems that the prior service system has poor service effect, so that the buyers and sellers cannot obtain high-quality service, and the buyers and sellers cannot evaluate the service effect, and the service system is used to bring a certain influence, and an intelligent service system for house property transaction is provided.
2. The invention solves the technical problems through the following technical scheme that the invention comprises a seller module, a system scoring module, a buyer module, a data receiving module, a data processing module, a master control module, a salesman module and a display module;
the seller module comprises a price reminding module, a house watching reminding module and a seller scoring module;
the price reminding module is used for sending price change prompt information when the price of the house at the same position of the house property sold by the seller changes, the house watching prompt module is used for sending prompt information when someone reserves to watch the house property sold by the seller, and the seller scoring module is used for scoring the service by the seller;
the buyer module comprises an online consultation module, a reservation queuing module and a buyer scoring module;
the online consultation module is used for carrying out online consultation on the buyer, consultation reply is carried out by consultation service personnel, the reservation module is used for carrying out house watching reservation on the intention property by the buyer, the reservation queuing module is used for queuing when the intention property is reserved for a plurality of times in the same time period of a single property, and the buyer scoring module is used for scoring the service by the buyer;
the system scoring module is used for scoring the seller system and the buyer system of the seller module and the buyer module, and the data receiving module is used for receiving the seller system score, the buyer score, the seller score, the reservation house-watching information and the reservation queuing information;
the seller system score, the buyer score, the seller score, the reservation house-watching information and the reservation queuing information are sent to the data processing module for processing;
the data processing module processes the salesman distribution information, the buyer service final score and the seller service final score, and the buyer service final score and the seller service final score are sent to the display module to be displayed in a histogram mode;
the salesman allocation information is converted into a salesman allocation instruction and sent to a salesman module, and the salesman module performs salesman allocation;
the specific process of price reminding by the price reminding module is as follows:
step one: the method comprises the steps of extracting the position information of the property sold by a seller, uploading the position information of the property sold by the seller to the Internet, and obtaining other property price information at the same position;
step two: extracting the highest other property price K of the same position max With the lowest other property price K of the same location min ；
Step three: marking seller sales property price information as K Sell (E) Calculate K Sell (E) With the lowest other property price K at the same location min The difference between them gives K1 Difference of difference When K1 is Difference of difference When the price is smaller than 0, generating price reminding information;
step four: calculating K Sell (E) With the highest other property price K at the same location max The difference between them gives K1 Difference of difference When K1 is Difference of difference When the price is larger than 0, generating price reminding information;
the buyer uses the online consultation module to conduct online consultation of the house property, and the online consultation module records the time difference Ti between the time of sending information by the buyer and the time of replying information by the business personnel in the consultation process, wherein i= … … n;
the specific process of the system scoring module for scoring the buyer system is as follows:
s1: extracting the difference Ti between all the reply messages, and calculating T1+T2+ … … Tn=T And then through formula T And /n＝T are all Calculate the mean value T of the recovery time difference Are all ；
S2: when the recovery time difference is equal to T Are all When the value is smaller than the preset value and no value larger than the preset duration exists in Ti, the score A1 of the buyer system is calculated;
s3: when the recovery time difference is equal to T Are all When the value is within the preset value range and no value larger than the preset duration exists in Ti, the buyer system scores A2;
s4: when the recovery time difference is equal to T Are all Is greater than a preset value, and Ti is not greater than a preset time periodA buyer system score A3 score;
s5: when a numerical value larger than the preset duration exists in Ti, the score A4 of the buyer system is A1 > A2 > A3 > A4;
the specific process of the seller system scoring is as follows: extracting real estate price information of sellers selling houses, extracting real estate information price information change time point P1 at the same position from the Internet, extracting time point P2 for sending price reminding, and calculating difference value P between the time point P2 and the time point P1 Difference of difference When P Difference of difference When the score is smaller than the preset value, the score is D1, and when P is Difference of difference Its score is D2 score in the preset value range, when P Difference of difference The score is D3 score when the value is larger than a preset value, and D1 is more than D2 and more than D3;
the specific processing procedure of the seller service final score is as follows: extracting the seller score and the seller system score, marking the sub-table as W1 and W2, and in order to highlight important new seller scores, now assign a correction value r1 to W1, a correction value r2 to W2, r1 > r2, r1+r2=1, and r 2=w by the formula w1+w2 And obtaining a final score W for a seller service And;
the specific processing procedure of the final score of the buyer service is as follows: extracting buyer score and buyer system score, marking the sub-table as U1 and U2, and in order to highlight important new buyer score, giving U1 a correction value e1, giving U2 a correction value e2, e1 > e2, e1+e2=1, and passing through formula U1+U2 e2=U And obtaining final score U of buyer service And;
the specific processing procedure of the salesman distribution information distribution salesman is as follows: after the queuing reservation module generates queuing information, extracting all queuing people, calling idle service personnel corresponding to each queuing time period, and distributing the idle service personnel of each time period to the queuing people of a corresponding time period.
Preferably, the buyer score specifically includes: the satisfaction score B1/middle score B2 corresponds to a different numerical score than the dissatisfaction score B3, B1, B2, B3, respectively.
Preferably, the vendor score specifically includes: the satisfaction score C1, the middle score C2 and the dissatisfaction score C3, C1, C2, C3 correspond to different numerical scores, respectively.
Compared with the prior art, the invention has the following advantages: the intelligent service system for the real estate transaction can better serve both buyers and sellers of the real estate, timely reminds sellers when the real estate price changes, consults real-time real estate for buyers, distributes business personnel to watch the real-time real estate service when reserving to watch the real estate, greatly improves the service effect of the service system, sellers and buyers can score the service according to real-time experience of the sellers and buyers, and finally the score is timely displayed on display equipment of a store to prompt service personnel to provide better service, so that the modified service system can better provide high-quality service for both buyers and sellers.
Drawings
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following describes in detail the examples of the present invention, which are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of protection of the present invention is not limited to the following examples.
As shown in fig. 1, this embodiment provides a technical solution: an intelligent service system for real estate transaction comprises a seller module, a system scoring module, a buyer module, a data receiving module, a data processing module, a master control module, a salesman module and a display module;
the seller module comprises a price reminding module, a house watching reminding module and a seller scoring module;
the price reminding module is used for sending price change prompt information when the price of the house at the same position of the house property sold by the seller changes, the house watching prompt module is used for sending prompt information when someone reserves to watch the house property sold by the seller, and the seller scoring module is used for scoring the service by the seller;
the buyer module comprises an online consultation module, a reservation queuing module and a buyer scoring module;
the online consultation module is used for carrying out online consultation on the buyer, consultation reply is carried out by consultation service personnel, the reservation module is used for carrying out house watching reservation on the intention property by the buyer, the reservation queuing module is used for queuing when the intention property is reserved for a plurality of times in the same time period of a single property, and the buyer scoring module is used for scoring the service by the buyer;
the system scoring module is used for scoring the seller system and the buyer system of the seller module and the buyer module, and the data receiving module is used for receiving the seller system score, the buyer score, the seller score, the reservation house-watching information and the reservation queuing information;
the seller system score, the buyer score, the seller score, the reservation house-watching information and the reservation queuing information are sent to the data processing module for processing;
the data processing module processes the salesman distribution information, the buyer service final score and the seller service final score, and the buyer service final score and the seller service final score are sent to the display module to be displayed in a histogram mode;
the salesman allocation information is converted into salesman allocation instructions and sent to a salesman module, and the salesman module performs salesman allocation.
The specific process of price reminding by the price reminding module is as follows:
step one: the method comprises the steps of extracting the position information of the property sold by a seller, uploading the position information of the property sold by the seller to the Internet, and obtaining other property price information at the same position;
step two: extracting the highest other property price K of the same position max With the lowest other property price K of the same location min ；
Step three: marking seller sales property price information as K Sell (E) Calculate K Sell (E) With the lowest other property price K at the same location min The difference between them gives K1 Difference of difference When K1 is Difference of difference When the price is smaller than 0, generating price reminding information;
step four: calculating K Sell (E) With the highest other property price K at the same location max The difference between them gives K1 Difference of difference When K1 is Difference of difference And when the price is larger than 0, generating price reminding information.
The buyer uses the online consultation module to conduct online consultation of the house property, and the online consultation module records the time difference Ti between the time of sending information by the buyer and the time of replying information by the business personnel in the consultation process, wherein i= … … n;
the specific process of the system scoring module for scoring the buyer system is as follows:
s1: extracting the difference Ti between all the reply messages, and calculating T1+T2+ … … Tn=T And then through formula T And /n＝T are all Calculate the mean value T of the recovery time difference Are all ；
S2: when the recovery time difference is equal to T Are all When the value is smaller than the preset value and no value larger than the preset duration exists in Ti, the score A1 of the buyer system is calculated;
s3: when the recovery time difference is equal to T Are all When the value is within the preset value range and no value larger than the preset duration exists in Ti, the buyer system scores A2;
s4: when the recovery time difference is equal to T Are all When the value is larger than a preset value and the value larger than the preset duration is not contained in Ti, the score A3 of the buyer system is calculated;
s5: when a value greater than the preset duration exists in Ti, the score A4 of the buyer system is A1 > A2 > A3 > A4.
The buyer scoring specifically includes: the satisfaction score B1/middle score B2 corresponds to a different numerical score than the dissatisfaction score B3, B1, B2, B3, respectively.
The seller scoring specifically includes: the satisfaction score C1, the middle score C2 and the dissatisfaction score C3, C1, C2, C3 correspond to different numerical scores, respectively.
The specific process of the seller system scoring is as follows: extracting real estate price information of sellers selling houses, extracting real estate information change time point P1 of the same position from the Internet, and extracting time for sending price remindingA point P2, calculating the difference P between the point P2 and the point P1 Difference of difference When P Difference of difference When the score is smaller than the preset value, the score is D1, and when P is Difference of difference Its score is D2 score in the preset value range, when P Difference of difference The score is D3 score, D1 > D2 > D3, which is larger than the preset value.
The specific processing procedure of the seller service final score is as follows: extracting the seller score and the seller system score, marking the sub-table as W1 and W2, and in order to highlight important new seller scores, now assign a correction value r1 to W1, a correction value r2 to W2, r1 > r2, r1+r2=1, and r 2=w by the formula w1+w2 And obtaining a final score W for a seller service And ；
through the setting, service scoring can be better carried out, so that the service scoring of the seller is objective and real.
The specific processing procedure of the final score of the buyer service is as follows: extracting buyer score and buyer system score, marking the sub-table as U1 and U2, and in order to highlight important new buyer score, giving U1 a correction value e1, giving U2 a correction value e2, e1 > e2, e1+e2=1, and passing through formula U1+U2 e2=U And obtaining final score U of buyer service And ；
through the arrangement, service scoring can be better carried out, so that the service scoring of the buyer is objective and real.
The specific processing procedure of the salesman distribution information distribution salesman is as follows: after the queuing reservation module generates queuing information, extracting all queuing people, calling idle service personnel corresponding to each queuing time period, and distributing the idle service personnel of each time period to the queuing people of a corresponding time period.
In summary, when the invention is used, the price reminding module is used for sending price change prompt information when the price of the property at the same position of the seller hanging and selling the property changes, the house watching prompt module is used for sending prompt information when someone reserves and watches the seller hanging and selling the property, the seller scoring module is used for scoring the service of the seller, the online consultation module is used for the buyer to conduct online consultation, the consultation service personnel is used for consulting and replying, the reservation module is used for the buyer to watch the property for reservation, the reservation queuing module is used for queuing when the buyer is reserved for a plurality of times within the same time period of a single property, the buyer scoring module is used for scoring the service of the buyer, the system scoring module is used for scoring the seller system and the buyer system, the data receiving module is used for receiving the seller system score, the buyer score, the seller score, the reservation viewing information and the reservation queuing information, the seller system score, the buyer score, the seller score, the reservation viewing information and the reservation queuing information are transmitted to the data processing module for processing, the data processing module processes the salesman distribution information, the buyer service final score and the seller service final score are transmitted to the display module for display in a bar chart mode, the salesman distribution information is converted into a salesman distribution instruction and transmitted to the salesman module, and the salesman module performs salesman distribution.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (3)
1. The intelligent service system for the real estate transaction is characterized by comprising a seller module, a system scoring module, a buyer module, a data receiving module, a data processing module, a master control module, a salesman module and a display module;
the seller module comprises a price reminding module, a house watching reminding module and a seller scoring module;
the price reminding module is used for sending price change prompt information when the price of the house at the same position of the house property sold by the seller changes, the house watching prompt module is used for sending prompt information when someone reserves to watch the house property sold by the seller, and the seller scoring module is used for scoring the service by the seller;
the buyer module comprises an online consultation module, a reservation queuing module and a buyer scoring module;
the online consultation module is used for carrying out online consultation on the buyer, consultation reply is carried out by consultation service personnel, the reservation module is used for carrying out house watching reservation on the intention property by the buyer, the reservation queuing module is used for queuing when the intention property is reserved for a plurality of times in the same time period of a single property, and the buyer scoring module is used for scoring the service by the buyer;
the system scoring module is used for scoring the seller system and the buyer system of the seller module and the buyer module, and the data receiving module is used for receiving the seller system score, the buyer score, the seller score, the reservation house-watching information and the reservation queuing information;
the seller system score, the buyer score, the seller score, the reservation house-watching information and the reservation queuing information are sent to a data processing module for processing;
the data processing module processes the salesman distribution information, the buyer service final score and the seller service final score, and the buyer service final score and the seller service final score are sent to the display module to be displayed in a histogram mode;
the salesman allocation information is converted into a salesman allocation instruction and sent to a salesman module, and the salesman module performs salesman allocation;
the specific process of price reminding by the price reminding module is as follows:
step one: the method comprises the steps of extracting the position information of the property sold by a seller, uploading the position information of the property sold by the seller to the Internet, and obtaining other property price information at the same position;
step two: extracting the highest other property price K of the same position max With the lowest other property price K of the same location min ；
Step three: marking seller sales property price information as K Sell (E) Calculate K Sell (E) With the lowest other property price K at the same location min The difference between them gives K1 Difference of difference When K1 is Difference of difference When the price is smaller than 0, generating price reminding information;
step four: calculating K Sell (E) With the highest other property price K at the same location max The difference between them gives K1 Difference of difference When K1 is Difference of difference When the price is larger than 0, generating price reminding information;
the buyer uses the online consultation module to conduct online consultation of the house property, and the online consultation module records the time difference Ti between the time of sending information by the buyer and the time of replying information by the business personnel in the consultation process, wherein i= … … n;
the specific process of the system scoring module for scoring the buyer system is as follows:
s1: extracting the difference Ti between all the reply messages, and calculating T1+T2+ … … Tn=T And then through formula T And /n＝T are all Calculate the mean value T of the recovery time difference Are all ；
S2: when the recovery time difference is equal to T Are all When the value is smaller than the preset value and no value larger than the preset duration exists in Ti, the score A1 of the buyer system is calculated;
s3: when the recovery time difference is equal to T Are all When the value is within the preset value range and no value larger than the preset duration exists in Ti, the buyer system scores A2;
s4: when the recovery time difference is equal to T Are all When the value is larger than a preset value and the value larger than the preset duration is not contained in Ti, the score A3 of the buyer system is calculated;
s5: when a numerical value larger than the preset duration exists in Ti, the score A4 of the buyer system is A1 > A2 > A3 > A4;
the specific process of the seller system scoring is as follows: extracting real estate price information of sellers selling houses, extracting real estate information price information change time point P1 at the same position from the Internet, extracting time point P2 for sending price reminding, and calculating difference value P between the time point P2 and the time point P1 Difference of difference When P Difference of difference When the score is smaller than the preset value, the score is D1, and when P is Difference of difference Its score is D2 score in the preset value range, when P Difference of difference The score is D3 score when the value is larger than a preset value, and D1 is more than D2 and more than D3;
the specific processing procedure of the seller service final score is as follows: extracting the seller score and the seller system score, marking the sub-table as W1 and W2, and in order to highlight important new seller scores, now assign a correction value r1 to W1, a correction value r2 to W2, r1 > r2, r1+r2=1, and r 2=w by the formula w1+w2 And obtaining a final score W for a seller service And;
the specific processing procedure of the final score of the buyer service is as follows: extracting buyer score and buyer system score, marking the sub-table as U1 and U2, and in order to highlight important new buyer score, giving U1 a correction value e1, giving U2 a correction value e2, e1 > e2, e1+e2=1, and passing through formula U1+U2 e2=U And obtaining final score U of buyer service And;
the specific processing procedure of the salesman distribution information distribution salesman is as follows: after the queuing reservation module generates queuing information, extracting all queuing people, calling idle service personnel corresponding to each queuing time period, and distributing the idle service personnel of each time period to the queuing people of a corresponding time period.
2. The intelligent service system for real estate transaction of claim 1 wherein: the buyer scoring specifically includes: the satisfaction score B1/middle score B2 corresponds to a different numerical score than the dissatisfaction score B3, B1, B2, B3, respectively.
3. The intelligent service system for real estate transaction of claim 1 wherein: the seller scoring specifically includes: the satisfaction score C1, the middle score C2 and the dissatisfaction score C3, C1, C2, C3 correspond to different numerical scores, respectively.
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