METHOD AND SYSTEM OF FORWARDING CONTACT DATA
20230186357 · 2023-06-15
Inventors
Cpc classification
G06Q30/0605
PHYSICS
G06Q10/107
PHYSICS
H04L65/4015
ELECTRICITY
International classification
G06Q10/107
PHYSICS
G06F16/955
PHYSICS
H04L65/401
ELECTRICITY
Abstract
There is described a computer-implemented method of forwarding contact data associated with a potential customer. The method comprising has: receiving customer purchase data from the potential customer, the customer purchase data comprising the contact data and mortgage preference data; publishing a purchase interest notification on an Internet-based live data stream accessible by a plurality of lenders via Internet, the purchase interest notification including the mortgage preference data of the customer purchase data; receiving a plurality of interest notices associated with the purchase interest notification from interested ones of the plurality of lenders; and forwarding the contact data of the potential customer to at least one privileged lender based on said reception.
Claims
1. A computer-implemented method of forwarding contact data associated with a potential customer, the method comprising the steps of: receiving customer purchase data from the potential customer, the customer purchase data comprising the contact data and mortgage preference data; publishing a purchase interest notification on an Internet-based live data stream accessible by a plurality of lenders via Internet, the purchase interest notification including the mortgage preference data of the customer purchase data; receiving a plurality of interest notices associated with the purchase interest notification from interested ones of the plurality of lenders; and forwarding the contact data of the potential customer to at least one privileged lender based on said reception.
2. The computer-implemented method of claim 1, further comprising, after said receiving the plurality of interest notices, associating a time value with each one of the plurality of received interest notices; and determining the at least one privileged lender among the interested lenders based on the time values of the received interest notices.
3. The computer-implemented method of claim 1, wherein the mortgage preference data comprise loan data.
4. The computer-implemented method of claim 1, wherein the step of forwarding includes forwarding the contact data to at least one privileged lender associated with a lending entity different from a lending entity of the customer purchase data.
5. The computer-implemented method of claim 4, wherein the lending entity of the customer purchase data is at least one of a customer-preferred mortgage advisor and a customer-preferred financial institution.
6. The computer-implemented method of claim 1, wherein the at least one privileged lender comprises more than one privileged lender, the more than one privileged lender comprising a first quantity of lenders associated with a financial institution similar to a financial institution of the customer purchase data and a second quantity of lenders associated with a financial institution different from the financial institution of the customer purchase data.
7. The computer-implemented method of claim 6, wherein the first quantity is limited to three.
8. The computer-implemented method of claim 1, wherein the customer purchase data further comprise geographical data associated with the potential customer.
9. The computer-implemented method of claim 8, wherein said forwarding is further based on the geographical data associated with the potential customer and on geographical position of the interested lenders.
10. The computer-implemented method of claim 1, wherein the mortgage preference data comprise property data.
11. The computer-implemented method of claim 1, wherein said forwarding is further based on the interest notices which are received first.
12. The computer-implemented method of claim 1, wherein said contact data comprise at least one of a telephone number and an email associated with the potential customer.
13. The computer-implemented method of claim 1, wherein the interest notices are received via the live data stream.
14. The computer-implemented method of claim 1, wherein the customer purchase data further comprise estimated purchase date data, wherein the computer-implemented method further comprises a step of forwarding the estimated purchase date data along with the contact data to the at least one privileged lender.
15. A system for forwarding contact data associated with a potential customer, the system comprising: a processor coupled with a computer-readable memory, the computer-readable memory being configured for storing computer executable instructions that, when executed by the processor, perform the steps of: receiving customer purchase data from the potential customer, the customer purchase data comprising the contact data and mortgage preference data; publishing a purchase interest notification on an Internet-based live data stream accessible by a plurality of lenders via Internet, the purchase interest notification including the mortgage preference data; receiving a plurality of interest notices associated with the purchase interest notification from interested ones of the plurality of lenders; and forwarding the contact data of the potential customer to at least one privileged lender thereby allowing the at least one privileged lender to contact the potential customer in response to the customer purchase data.
16. The system of claim 15, wherein the computer executable instructions further comprise, after said receiving, associating a time value with each one of the plurality of received interest notices; and determining the at least one privileged lender among the interested lenders based on the time values of the received interest notices.
17. The system of claim 15, wherein the mortgage preference data comprise loan data.
18. The system of claim 15, wherein said forwarding includes forwarding the contact data to at least one privileged lender associated with a lending entity different from a lending entity of the customer purchase data.
19. The system of claim 18, wherein the lending entity of the customer purchase data is at least one of a customer-preferred mortgage advisor and a customer-preferred financial institution.
20. The system of claim 15, wherein the at least one privileged lender comprises more than one privileged lender, the more than one privileged lender comprising a first quantity of lenders associated with a financial institution similar to a financial institution of the customer purchase data and a second quantity of lenders associated with a financial institution different from the financial institution of the customer purchase data.
Description
DESCRIPTION OF THE FIGURES
[0014] In the figures,
[0015]
[0016]
[0017]
[0018]
[0019] These figures depict example embodiments for illustrative purposes, and variations, alternative configurations, alternative components and modifications may be made to these example embodiments.
DETAILED DESCRIPTION
[0020]
[0021]
[0022] The computer-implemented method 200 has a step 210 of receiving, by the system 10, customer purchase data from a potential customer via the Internet 120. The customer purchase data comprise contact data and preference data. The contact data are meant to encompass any data which can be used to contact the potential customer. For instance, the contact data can be one or more telephone number and/or one or more email address associated with the potential customer. The preference data can be data which indicate the preferences associated with a new vehicle that the potential customer would be interested to purchase. It will be understood that the vehicle can be anything used for transporting people or goods, especially on land, such as a car, truck, cart and the like. In an embodiment, the preference data can include desired price data indicating, for instance, a desired monthly term that the potential customer can afford. In another embodiment, the preference data can include vehicle make data such as a vehicle make (e.g. Honda™, Volvo™, Porsche™ and the like). In still another, the preference data can include both the desired price data and the vehicle make data. In alternate embodiments, the preference data can include geographical data (e.g. a zip code associated with the potential customer), estimated purchase date data, vehicle status data (e.g. new, used, in good condition) and/or vehicle model data and vehicle year data.
[0023] In an embodiment, the potential customer browses on a website (e.g. the website Automatix.ca) where he/she can fill an electronic form having fields associated with the contact data, the vehicle make data and the preference data. Once the electronic form is filled and submitted, it can be received, via the Internet 120, by the system 10 for use with other steps (e.g. 220, 230 and 240) of the computer-implemented method 200. In a specific example, the potential customer uses his/her smart phone to fill the electronic form accessible on the website so that the customer purchase data can be received by the system 10 thereafter.
[0024] Still referring to
[0025] Referring now to
[0026] Referring back to
[0027] Regarding the step 230 of receiving the interest notices 24, reference is now made to
[0028] Referring back to
[0029] In another embodiment of the method 200, the preference data comprise the vehicle make data which indicate that a given potential customer wishes to buy a new vehicle of make A (e.g. a new vehicle of make Honda™). In this embodiment, the method 200 can have an optional step of forwarding the contact data 26 to at least one privileged vehicle dealer associated with a make B which is different from the make A associated with the vehicle make data of the customer purchase data 18. More specifically,
[0030] In another aspect, there are disclosed a system, a computer program product and a computer-implemented method for forwarding contact data associated with a potential customer. The system has a processor coupled with a computer-readable memory, and the computer-readable memory is configured for storing computer executable instructions that, when executed by the processor, perform the steps of a computer-implemented method. The computer program product can include the aforementioned computer-readable memory. The computer-implemented method includes the steps of receiving customer purchase data from the potential customer, the customer purchase data comprising the contact data and mortgage preference data; publishing a purchase interest notification on an Internet-based live data stream accessible by a plurality of lenders via Internet, the purchase interest notification including the mortgage preference data of the customer purchase data; receiving a plurality of interest notices associated with the purchase interest notification from interested ones of the plurality of lenders; and forwarding the contact data of the potential customer to at least one privileged lender based on said reception.
[0031] In some embodiments, the method can have steps of, after said receiving the plurality of interest notices, associating a time value to each one of the plurality of received interest notices; and determining at least one privileged lender amongst the interested lenders based on the time values of the received interest notices.
[0032] In some other embodiments, the mortgage preference data include loan data. For instance, the loan data can include an indication as to which of the following goal is pursued by the potential customer: i) renew or renegotiate the terms of the mortgage, ii) finance a new purchase (e.g., property), or iii) pre-approve a mortgage.
[0033] The mortgage preference data can include property data indicative of the type of property that is desired (e.g., house, condo, duplex, triplex, multiplex). The mortgage preference data can include the desired amount of the mortgage loan, the estimated value of the property, the cash down amount that is available, the name of the financial institution with which the potential customer dealt in her/his last mortgage loan, if applicable, and/or estimated purchase date data indicative of the purchase date of associated with the purchase.
[0034] In alternate embodiments, the customer purchase data further comprise geographical data associated with the potential customer. For instance, the customer purchase data can include a city, the zip code and/or the postal address associated with the property.
[0035] The contact data can include a name, a surname, a work phone number, a home phone number, a mobile phone number, a personal email address, a work email address, a birth year associated with the potential customer. The contact data can also include preferences as to how and when to reach the potential customer. For instance, by phone, by SMS or by email, and between 8:00 AM and 12:00 PM, between 12:00 PM and 1:30 PM, between 1:30 PM and 17:00 PM or between 5:00 PM and 9:00 PM.
[0036] The step of forwarding may be further based on the geographical data associated with the potential customer and on geographical position of the interested lenders. The step of forwarding may be based on the interest notices which are received first. The method may also have a step of forwarding the estimated purchase date data along with the contact data to the at least one privileged lender.
[0037] As can be understood, the examples described above and illustrated are intended to be exemplary only. For instance, the Internet-based live data stream can be an intranet-based live data stream that is used within different vehicle dealers associated with the same make. Further, in an embodiment, the vehicle dealers have to become member vehicle dealers by paying a membership fee in order to access the Internet-based live data stream. In another embodiment, the vehicle dealers pay an amount of money for each potential customer contacted. It is understood that the methods and systems can be used by vehicle dealers and also by one or more other service providers of the vehicle industry or other industries (e.g., financial service industry). For instance, the service providers can be vehicle insurers which desire to obtain data about the potential customer. In this embodiment, the data that is forwarded to privileged ones of the vehicle insurers can comprise date of birth data indicating the date of birth of the potential customer as well as estimated purchase date data indicating the date at which he/she estimates that the new vehicle will be bought. In another embodiment, the methods and systems described herein can be used by other service providers of the vehicle industry (e.g. satellite radio providers and the like). The scope is indicated by the appended claims.