WO2017009757A1 - Method for automatic sales quotation of objects and/or articles, vehicles in particular - Google PatentsMethod for automatic sales quotation of objects and/or articles, vehicles in particular Download PDF
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- WO2017009757A1 WO2017009757A1 PCT/IB2016/054109 IB2016054109W WO2017009757A1 WO 2017009757 A1 WO2017009757 A1 WO 2017009757A1 IB 2016054109 W IB2016054109 W IB 2016054109W WO 2017009757 A1 WO2017009757 A1 WO 2017009757A1
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- method according
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- G06—COMPUTING; CALCULATING; COUNTING
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
"Method for automatic sales quotation of objects and/or articles, vehicles in particular"
Description Technical field of the present invention
The present invention falls in the technical field of market survey and/or evaluation, in particular the automotive market. Specifically, the present invention regards a method that can be executed through a terminal with access to the internet network which allows providing the user with quick and reliable information regarding the actual market trend, in particular second hand vehicle market. In detail, the present invention regards a method of the aforementioned type, which can be used both by potential buyers and sellers, through which a potential buyer can get a reliable and realistic idea of the actual market trend whereas the seller is able to compare the sales conditions thereof with the market trend and possibly adjust to match them, preferably automatically.
State of the prior art
The automotive market, in particular second hand vehicle market, is currently characterised by high volatility and ensuing fluctuation of prices and quotations. This is particularly due, at least partly, to a considerable drop in terms of new vehicle sales volumes (reduction of vehicle registration figures) and the ensuing increase of second hand vehicle demand.
In addition, it should be observed that the high fluctuation of second hand vehicle quotations is also due to recently introduced fiscal and/or taxation measures which led to transactions, regarding vehicles affected by the aforementioned fiscal and/or taxation measures, dropping. For example, sales figures regarding particularly popular vehicles - in terms of performance and fit-outs or highly prestigious vehicles - dropped suddenly due to the equally sudden and at times really considerable increase of the annual road licence and/or insurance cover. Likewise, fiscal and/or taxation measures have worked in favour of vehicles most compliant with the anti-pollution laws in force and thus indirectly to the detriment of vehicles not equally compliant with the aforementioned anti-pollution laws. On the contrary, gas fuel (methane or LPG) vehicles - initially underappreciated and meant for a very limited number of users (for example due to fuel scarcity) - have now gained popularity and demand specifically due to the fact that they are favoured by the aforementioned taxation and/or fiscal and/or anti-pollution measures.
Currently, almost 90% of second hand vehicles are sold through the internet which represents the most common and immediate means for distributing relative commercial announcements as well as tracking potentially interesting second hand vehicles.
However, use of the internet for the purposes described above reveals a number of drawbacks that can be summarised as follows.
Basically Internet users fall under two categories, respectively the buyer and seller of second hand vehicles.
As regards potential buyers of second hand vehicles, the buyers have access to various search engines through which interesting sales announcements can be tracked. The search engines allow the users to specify the kind of vehicle they desire (make, model etc.) as well as indicate the parameters and/or characteristics for a targeted search for example including the year of manufacture, maximum mileage, accessories and/or fit-outs, possibly as well as the maximum price and a specific area, for example by providing the postal code of the user. Thus, the search engine tracks the sales announcements regarding approximately relevant vehicles and presents them to the user separately, ordering them according to potential parameters, for example in a price increasing (or decreasing) order.
Thus, the user is objectively faced with the challenge of getting an actual idea of the market trend and thus select the most important announcements and/or compare the actual financial resources thereof with the actual and overall market situation. For example, a particularly enticing price or offer could actually reveal to be inconvenient considering the actual vehicle mileage and/or fit-out, and especially if compared with prices regarding vehicles with comparable mileage.
In addition, an unpopular vehicle in an area could be definitely more popular in a different area.
In addition, at this point the user does not have instruments that can allow him to calculate actual values within the area of interest thereof.
Basically, the current search engines do not offer the user actual market analysis and/or evaluations, neither at territorial level nor as concerns parameters regarding the vehicle in question (mileage, fit-out, year of manufacture, model etcetera) thus complicating user's choice as concerns actually interesting sales announcements.
On the other hand, as regards potential vehicle offerer or seller (hereinafter referred to as dealers), use of currently available search engines reveals considerable limitations and/or drawbacks. The methods of entering a sales announcement regarding a vehicle into the Internet network are substantially similar to the methods summarised above as concerns searching for an interesting vehicle by a potential buyer; as a matter of fact, also has or is even required to specify the kind of vehicle, one or more parameters regarding the vehicle and a public offer price. However, when entering the announcement, the purchaser cannot immediately check the positioning of the announcement thereof, also regarding the single or different areas of interest thereof and cannot track the positioning of the initially published price with respect to the fluctuating market trend over time.
Still concerning a vehicle, the seller cannot know the potential actual selling of a given vehicle in advance with respect to the market trend in the area of interest thereof.
As a matter of fact, as of date, the seller cannot know the actual statistical volumes regarding the transactions of the vehicle meant to be sold, both from a general and territorial point of view.
This considerably affects the possibility of evaluating the feasibility of placing a given vehicle for sale and possibly choosing doing it in a given area over another.
In addition, the seller cannot even choose to publish in the area offering the best price in advance.
Basically, a seller can obtain in very approximate, rough and non-automatic fashion - the actual market trend - equally in an equally approximate and rough manner - solely based on the contacts and offers received as regards the sales announcements thereof. However, this does not allow estimating the potential selling (in terms of time and price) of a vehicle in advance and thus it does not even allow making decisions as regards the possible buying and placing of a second hand vehicle in the market in advance.
For example, once the transaction of one of the vehicles placed in the market for sales through the internet, the seller does not know whether the vehicle in question could have been sold at the same price or different price or even within a shorter time depending on the area where the announcement appeared. Likewise, should vehicles meant to be sold in a specific area reveal to be particularly difficult to sell, the seller cannot know whether the same vehicle could have been more easily in another area.
In addition, a distinctive trait of the potential seller lies in the fact that the seller he cannot match the sales announcements thereof with (in particular the price indicated therein) with the actual market trend (generally or at territorial level), unless by personally "correcting" the announcements, and still according to considerably empirical information, obtained based on personal experience.
Thus, one of the objects of present invention is to provide a solution capable of overcoming or at least reducing or minimising the drawbacks observed in the state of the art and summarised above.
In particular, an object of the present invention is to provide the user with a solution capable of utilising the internet also for statistical purposes and thus capable of allowing - according to the statistical results - a potential buyer to more critically analyse the sales announcements that can be found (or found) in the web and selecting those truly matching the actual market trend, as well as a potential seller to synchronise the sales announcements thereof and possibly match them with the market trend, both situations being general and according to territorial and/or commercial factors.
Thus, a further object of the present invention is to provide both a potential buyer and a potential seller, regarding one or more of the vehicles in question, with a market research possibly classified according to areas of interest - the search in question giving reliable and realistic feedback on the purchase or sales price, and possibly according to corrections deemed suitable.
According to the present invention, a user (potential buyer or seller), will have the possibility to track the mean sales price of a vehicle, wherein the mean sales prices may be indicated according to different mileage, different areas as well as other parameters such as for example the year of registration, period of manufacture or optional fit-outs.
Still according to the invention, the various statistics may be forwarded to the users in form of a chart with two-dimensional and three-dimensional diagrams.
In addition, the invention will allow prior market analysis and identifying the most suitable areas according to different territories. Lastly, an object of the present invention is to provide a potential seller with a solution capable adapting - in an automatic and possibly programmable fashion according to a predefined period - the announcements thereof to the market trend, wherein the adaptation of the sales announcements may be subordinated to possible constraints (for example minimum price) indicated by the user in question.
General description of the present invention
According to the previously outlined general descriptions, the present invention regards a method for market analysis, in particular for the commercial quotation and/or evaluation of objects and/or articles placed for sale by means of the Internet network, the execution of said method providing for the use of a central server and at least one terminal, both connected to the Internet network, the method comprising the indication by a user, by means of said at least one terminal, of at least one object or article and the specifications of one or more parameters relative to said at least one object, wherein said method is configured to track sales announcements regarding articles ad objects similar to said at least one object indicated by the user in the internet network and in that the method is configured to present to said user, through said terminal, statistics regarding the sales announcements found in the web. According to an embodiment, the method may be configured for presenting to said user, by means of said terminal, a plurality of statistics, each relative to a territorial area indicated by said user.
According to a possible further embodiment, at least one of sais one or more statistics may contain information on the mean prices of said article.
According to a possible further embodiment, the method may be configured in a manner so as to present to said user, by means of said terminal, the indication of the mean sales prices of groups of articles corresponding to that indicated, wherein each group may comprise articles selected according to parameters specified by said user.
According to a possible further embodiment, the method may allow, per each parameter, the indication of a relative range.
According to a possible further embodiment, the method may be configured in a manner so as to present to said user, by means of said terminal, the aforementioned one or more statistics in form of a chart.
According to a possible further embodiment, for each territorial area, the relative statistic may comprise the indication of the number of articles or objects for sale or in any case offered to the public.
According to a possible further embodiment, said method may be configured in a manner so as to be automatically repeated, according to a frequency indicated by said user.
According to a possible further embodiment, said method may be configured for comparing the final statistic with the preceding statistics or at least with the immediately preceding statistic.
According to a possible further embodiment, said method may be configured to outline the statistical trend.
According to a possible further embodiment, the method may be configured so as to identify, from among all sales announcements, the announcements entered in the web by the same user and/or so as to compare the results of said one or more statistics with the sales conditions specified in said announcements of said user and/or so as to automatically update the offer conditions specified in sais announcements of said user.
According to a possible further embodiment, the updating of the sales conditions specified in said announcements of said users can be subordinated to minimum sales conditions or limitations specified by said user.
According to a possible further embodiment, the method may be dedicated to market analysis regarding second hand motor vehicles, cars in particular.
Further possible embodiments of the present invention are outlined in the claims.
Description of the figures
- FIGURE 1 is a diagram that shows an example of a menu page of the method or procedure according to an embodiment of the present invention.
- FIGURE 2 is composed by examples of data submitted to the user and the form in which the data in question may be displayed or presented.
- FIGURES 2a to 2d are charts in which it can be observed that the data indicated in FIGURE 2 are indicated in form of a chart, two-dimensional Cartesian systems in particular.
- FIGURE 3 shows examples of data submitted to the user and the form in which the data in question may be displayed or presented.
- FIGURE 4 shows that besides confirming and specifying (at the top part of the diagram) the date and rime of search, the parameters of the vehicle selected from the stock etcetera, the system displays to the user the processed statistical data classified in tables and charts. - FIGURES 4a, 4b, 4c, 4d, 4e, 4f, 4g, 4h and 4i show the data regarding the market survey carried out by the system as regards the selected vehicle.
- FIGURE 5 contains direct comparisons between the offer prices (assuming a vehicle to be sold and without accessories), mean mileage of the first 20 vehicles as well as the adjustment automatically suggested by the system.
- FIGURE 6, shows - per day (column) and still according to the territorial and/or sales area - the number of announcements or vehicles as well as the mean price and mean mileage. Detailed description of the present invention:
Hereinafter, the present invention will be clarified further through a detailed description of the embodiments thereof, wherein the present invention is not limited to the embodiments described in detail hereinafter.
The present invention is particularly advantageously suitable for market analysis and evaluation, particularly statistical, regarding the second hand automotive market; thus, this is why examples of application of the present invention to the market analysis and evaluation, even statistical, regarding the second hand automotive market will be described hereinafter. In addition, it should be observed that possible applications of the present invention are not limited to second hand automotive market alone; on the contrary, the present invention is also equally advantageously suitable for the analysis and evaluation, even statistical, of different markets regarding other objects or articles negotiated (offered or searched) in the web.
Figure 1 shows an example of a menu page of the method or procedure according to an embodiment of the present invention.
A user, a potential buyer or anyone seeking information regarding a given vehicle in this case, accesses the page represented in figure 1, specifying suitable identification codes such as user ID and/or a password for example.
Figure 1 particularly shows that by accessing the page represented therein, the user is allowed to specify suitable parameters of a particular vehicle such as for example the make, model, type of power supply (petrol or diesel if fuel, or any other source of power) as well as further specify the fit-outs of the vehicle subject of search, for example by specifying whether the vehicle should be equipped with a satellite navigator, sun-roof etcetera Obviously, the parameters that can be specified are not limited to those indicated in diagram 1; on the contrary, the page according to diagram 1 may be configured to suit the needs and/or circumstances, so as to offer the user additional possibilities and/or alternatives, such as for example specifying the colour, interior fit-outs etcetera.
Upon specifying the vehicle parameters, the user starts the search, by clicking on the corresponding icon represented in figure 1 in this case.
At this point, the system finds sales announcements matching the specified vehicle in the web, wherein the expression "matching", in the present invention, may be deemed to express both the perfect match and the fact that one or more predefined parameters fall in matching ranges. For example, the year of manufacture may be comprised between two calendar years; likewise, mileage may be comprised between a minimum and maximum mileage. According to the present invention, the choice of ranges may occur both by default (through the central server) and entered by the user by means of further sub-menus not represented in diagram 1.
In addition, it should be observed that search through sales announcement systems may be carried out on one or more websites or search engines, also specified by default through the server or selected by the user, through sub-menus (not represented) in this case.
Figure 2, figures 2a to 2b and figure 3 indicated hereinafter, show examples of data submitted to the user and the form in which the data in question may be displayed or presented.
In particular, figure 2 shows that the system "confirms" the type of vehicle specified by the user (top part of figure 2), wherein the system specifies, among other things, the date and time of search, as well as whether the search was limited to a maximum number (160 in the particular represented case) of sales announcements or vehicles.
The table indicated in figure 2 shows that the submitted data is classified per sales areas (left column), wherein the two indications "ITA84036" and "ITA27027' indicate two sales areas or territories comprised in a 200 km range (variable at will) calculated starting from locations respectively corresponding to the Italian postal codes numbers ITA84036 and ITA27027.
Still with reference to figure 2, it can be observed that the system - for each sales or territorial area - provides the number of sales announcements found (second column from left), the mean price indicated in the found announcements (third column from left) the mean mileage (fourth column from left) as well as the number (up to a maximum of 10) of most convenient announcements, the mean price of the most convenient announcements and the mean mileage of the most convenient announcements (respectively fifth, sixth, seventh column from the left).
It should be observed that the criteria for choosing the top 10 most convenient announcements may be set at will and it may for example simply regard the price or even the price mileage ratio.
The last line of the table indicates the total number of announcements found (130 in this particular case) as well as the mean price, mean mileage, number, price mean mileage of the top 10 most convenient announcements (selected out the total of announcements found). With reference to figures 2a to 2d, it can be observed that the data indicated in the previously evaluated table (figure 2) are indicated in form of a chart, two-dimensional Cartesian systems in particular.
Also in this case, it should be observed that the system may be configured so as to display data through three-dimensional charts, wherein for example mileage is represented in the X axis, the relative price is indicated in the Z axis and a further parameter, for example a territorial and/or sales area, is indicated in the Y axis.
Thus, the advantages offered by the present system according to the present invention are clear; as a matter of fact, the user is able to observe both the general and territorial market trend through operations that are extremely simple (a simple click) and entirely similar to those required by other web navigation systems, in particular the most commonly used search engines, and thus the user may compare the mean prices with the actual financial resources thereof, so as to focus the search thereof on predefined territorial areas, or even on vehicles with more or less prestigious fit-outs, as well as evaluating the market trend on time basis, for example by repeating the search at predefined time intervals (the system may be set this way) and thus monitor the price's increase or decrease trend, thus having the possibility to evaluate the right time to buy or be alerted when the price exceeds or drops below a given predefined threshold.
Figure 3 indicated hereinafter is the result of an excerpt by the system regarding predefined sales or territorial areas, of the most convenient announcements (five in the represented example and the number may be selected by the user) in an increasing price order, without reference to the actual mileage in this case.
According to figure 3, a user may for example observe that the best price in the "ITALIA" territorial area regards a vehicle with a considerably high mileage (much higher than the others indicated in the table) and thus may observe that considerable mileage variations correspond to generally low prices.
In addition, it should be observed that the system may be configured so as to display, from among those found according to the method described above, one or more announces selected by the user, thus offering greater immediate chances for the user to evaluate the announcements in question in detail.
Before proceeding with the detailed description of the present invention, it should be observed that the system according to the invention may be configured so as to directly interact with the management programme of a user, for example a dealer; the expression management programme is used to indicate a programme that can be run on a computer adapted to allow the management of a dealer's activities, in particular the management of a fleet or stock of second hand vehicles to be placed or already placed in the market or offered for sale (in particular on-line). The characteristics of a management programme do not fall within the scope of protection of the present invention and thus a detailed description thereof is omitted for the sake of brevity; as regards the objects of the present description, it shall be assumed that the management programme is adapted to memorise at least the essential characteristics of second hand vehicles such as for example the make, type, mileage, fit-outs, the general condition etcetera.
According to the embodiment of the system according to the present invention described hereinafter, it shall be assumed that the system shall be configured so as to be able to at least recognise - in the management system and select from the management system - the vehicles contained therein and perform market survey regarding each one of them according to the methods of the system in question. Thus, let us assume that a user or dealer owns a fleet of N second hand vehicles, each placed or to be placed in the market at a predefined price, and that the user or dealer would like to compare the sales conditions thereof, in particular the prices thereof, with the actual market trend and orientation.
Thus, the user may access the management programme thereof according to the methods typical of management system in question and identify - in the management system - a particular vehicle to be subjected to evaluation and/or comparison with the market situation. Thus, by selecting a particular vehicle (for example by clicking on the relative icon) in the management system thereof, the user shall start a survey according to methods substantially similar to those described above.
Thus, figures 4 and 4a, figures 4b to 4f, figures 4g and 4h, and the further figure 4i show the data regarding the market survey carried out by the system as regards the selected vehicle; the method for performing the market survey or evaluations carried out by the system are substantially similar to the methods described previously, i.e. the system finds - in the web - sales announcements regarding vehicles matching the selected vehicle and offers the user relevant statistical data, useful for obtaining the best positioning for the announcement thereof in the reference market. In addition, the provided data is ordered so as to meet the needs of a dealer in this case.
Figure 4 shows that besides confirming and specifying (at the top part of the diagram) the date and rime of search, the parameters of the vehicle selected from the stock etcetera, the system displays to the user the processed statistical data classified in tables and charts.
Both in the figure 4a, data regarding vehicles without accessories is indicated on the left while data regarding vehicles with accessories is indicated on the right, wherein the expression "without accessories" is used to indicate vehicles not featuring all accessories that the vehicle could be provided with or feature just the optional accessories and thus not provided for in the standard version of the vehicle.
Figure 4a contains, for every sales or territorial area, the number of announcements found, the mean price and the mean mileage of the vehicles described in the announcements in question.
In figures 4b to 4f, as regards every sales or territorial area, the price and mileage are indicated in a two-dimensional system of Cartesian axes, wherein it should be observed there can be identified the dealer's vehicle according to which the search was carried out and according to which the statistical data was processed.
It is thus clear that analysing the charts allows, as regards every territorial area, a direct and immediate comparison between the offer conditions regarding the dealer's vehicle and the conditions regarding the vehicle found during the search. Thus, the user (the dealer in this case) may for example observe that the price indicated in his offer is among the highest substantially considering the same mileage and thus may decide whether to change the offer conditions thereof.
In figure 4f, the indicated data is classified according to sales areas (each curve corresponds to a predefined sales area) wherein the X axis contains the date while the Y axis contains the mean price; it is thus clear that the charts show the market trend or orientation over time. The mean price data is indicated in figures 4g and 4h.
In the figures, lines NS and VAL-SUGG respectively regard the vehicle in stock (to be sold) and the relative price suggested by the system. Thus, the user or dealer may compare the price thereof with the prices found in the market, as well as have an immediate idea on the most suitable or probably most achievable price. There could be other evaluations according to figure 4g and 4h; for example, as regards the IT sales area, there may be observed that the mean price change, wherein the aforementioned changes also indicate the potential placement of a new vehicle in the market or the fact that a vehicle has been sold with ensuing removal of the relative sales announcement from the market.
Figure 4i contains, classified according to sales or territorial areas, the top 5 most convenient prices (and relative mileage) starting from the lowest price.
The further figure 5, also contains direct comparisons between the offer prices (assuming a vehicle to be sold and without accessories), mean mileage of the first 20 vehicles as well as the adjustment automatically suggested by the system (based on mileage), the whole being classified according to territorial areas.
For example, with reference to the first market of interest, it is observed that the system deems it possible (and indirectly suggests) for a revaluation equivalent to 3.6% according to the lower mileage of the vehicle with respect to the mean mileage of the analysed vehicles. According to the present invention, the user or dealer also has the possibility to launch a further processing stage, whose results are indicated in table 6 below. The user accesses the aforementioned further stage through a "check stock" sub-menu.
Lastly, figure 6, shows - per day (column) and still according to the territorial and/or sales area - the number of announcements or vehicles as well as the mean price and mean mileage.
Figure 6 also offers an additional option lying in the possibility to see the rotation index of a vehicle, wherein the rotation index is calculated according to the number of transactions; more in particular, should the comparison of the columns of figure 1 reveal high a variation of the number of vehicles, it may be observed that the vehicle in question is particularly popular in the market. Thus, a high rotation index could lead the dealer to buy a second hand vehicle of the same type, given that the vehicle is easy to resell. On the contrary, a low rotation index indicates substantial market stagnation and thus the non-advisability of buying a similar second hand vehicle for the dealer.
Figure 6 shows the vehicles in stock at the dealer's premises, wherein - as regards each vehicle - the table also shows the mean market value and the suggested value for the reference market (both the current ones and those of the previous day), the published value and the suggested variation.
The user also has the option to accept or reject the suggested variation, wherein the system automatically changes the offer value upon accepting the suggested variation, the procedure being repeatable automatically, for example periodically. The adjustment of the published value may also be subordinated to not exceeding (in negative) a minimum threshold value. Thus, it has been shown through the previous detailed description of some embodiments of the present invention - that the present invention allows the preset objectives, in particular overcoming or at least reducing the drawbacks observed in the prior art. In particular, as shown, the present invention allows providing the user with a solution adapted to use the web for statistical purposes too and thus which allows, according to the results of the statistics, a potential buyer (whether a dealer or end user) to critically evaluate the sales announcements found in the web and select those truly matching the needs thereof and the actual market trend, as well a potential seller to synchronise the sales announcements thereof and possibly adjust them to the actual market trend, according to the territorial and/or sales criteria in both cases.
In addition, the invention also allows both a potential buyer and potential seller, as regards one or more vehicles of interest, to carry out a market survey, possibly classified according to territorial areas of interest, the survey being capable of offering a reliable and realistic feedback on the most suitable buying and selling price, and possibly on changes deemed suitable.
Through the invention, a user (potential buyer or seller) has the possibility to find the mean sales values of a vehicle, wherein the mean sales prices may be indicated as concerns different mileage, different territorial areas as well as other parameters of a vehicle such as the year of manufacture and possible optional fit-outs.
Still according to the invention, the different statistics may be displayed to the user in form of charts with two-dimensional and three-dimensional diagrams.
The invention also analysing the market and identifying the most suitable prices in advance according to different territorial areas and providing a potential seller with a solution capable adjusting - in an automatic and possibly programmable fashion according to a predefined periodicity - the sales announcements thereof to the actual market trend, wherein the adjustment of the sales announcements may be subordinated to possible limitations (for example minimum sales price) indicated by the user in question.
Though the present invention has been outlined by means of the previous description of some embodiments thereof, the present invention is not limited to the previously described embodiments; on the contrary, all variants of the previously described embodiments, deemed known to a man skilled in the art, shall be considered to fall within the scope of protection of the present invention.
Thus, the object of the present invention is described by the claims.
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|Application Number||Priority Date||Filing Date||Title|
|Publication Number||Publication Date|
|WO2017009757A1 true WO2017009757A1 (en)||2017-01-19|
Family Applications (1)
|Application Number||Title||Priority Date||Filing Date|
|PCT/IB2016/054109 WO2017009757A1 (en)||2015-07-13||2016-07-08||Method for automatic sales quotation of objects and/or articles, vehicles in particular|
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|WO (1)||WO2017009757A1 (en)|
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- 2016-07-08 WO PCT/IB2016/054109 patent/WO2017009757A1/en active Application Filing
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|Publication number||Priority date||Publication date||Assignee||Title|
|WO2010030632A1 (en) *||2008-09-09||2010-03-18||TrueCar.com||Pricing data for vehicles and other commodities|
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