CN110390545A

CN110390545A - Transport power pricing method, device, server and computer readable storage medium

Info

Publication number: CN110390545A
Application number: CN201810354349.3A
Authority: CN
Inventors: 汪恒智; 戚立才; 张怡菲
Original assignee: Beijing Didi Infinity Technology and Development Co Ltd
Current assignee: Beijing Didi Infinity Technology and Development Co Ltd
Priority date: 2018-04-19
Filing date: 2018-04-19
Publication date: 2019-10-29

Abstract

The present invention provides a kind of transport power pricing method, device, server and computer readable storage mediums, wherein transport power pricing method comprises determining that the practical business amount of money, the pre-set business amount of money and corresponding practical Cheng Danliang of any history transport power order；Gross turnover is determined according to the practical business amount of money of whole history transport power orders；Determine using at single conversion ratio and price adjustment ratio as independent variable, using gross turnover as the fitting function of dependent variable, wherein at single conversion ratio be practical Cheng Danliang and estimate the ratio of Cheng Danliang, ratio of the price adjustment ratio between the practical business amount of money and the pre-set business amount of money.According to the technical solution of the present invention, the accuracy and reasonability for improving transport power price are conducive to promote the bill wish of passenger and the order wish of driver, improve the commodity transaction total value of transport power platform, be conducive to the competitiveness for promoting transport power platform.

Description

Capacity pricing method, capacity pricing device, capacity pricing server and computer-readable storage medium

Technical Field

The invention relates to the technical field of capacity pricing, in particular to a capacity pricing method, a capacity pricing device, a server and a computer readable storage medium.

Background

The total commodity trade Volume (GMV) is one of the important indexes for evaluating the operation condition of a platform, and for a transportation platform, the total commodity trade Volume mainly depends on the product of the order amount and the order quantity.

In the related technology, the market share of the transport capacity order amount is usually formulated by adopting schemes of measuring and calculating supply-demand balance, reasonable supply-demand ratio and the like.

However, after the capacity platform enters the maturity period, the supply and demand tend to be balanced and stable, and the supply and demand state is no longer the most important factor of capacity pricing, so that the capacity pricing scheme needs to be improved to further increase the GMV (hereinafter referred to as "total volume") of the capacity platform.

Disclosure of Invention

The present invention is directed to solving at least one of the problems of the prior art or the related art.

To this end, it is an object of the present invention to provide a capacity pricing method.

Another object of the present invention is to provide a capacity pricing device.

Another object of the present invention is to provide a server.

It is another object of the present invention to provide a computer-readable storage medium.

To achieve the above object, according to an embodiment of the first aspect of the present invention, there is provided a capacity pricing method including: determining the actual business amount, the preset business amount and the corresponding actual finished-order amount of any historical capacity order; determining a total transaction amount according to the actual business amount of all historical capacity orders; and determining a fitting function which takes the one-forming conversion rate and the price-adjusting ratio as independent variables and the total transaction amount as a dependent variable, wherein the one-forming conversion rate is the ratio of the actual one-forming amount to the estimated one-forming amount, and the price-adjusting ratio is the ratio of the actual service amount to the preset service amount.

In the technical scheme, the accuracy of calculating the price-adjusting proportion of any historical capacity order is improved by referring to the actual business amount, the preset business amount and the actual finished product amount of any historical capacity order, wherein the accuracy of calculating the price-adjusting proportion of any capacity order is improved by determining a fitting function which takes the conversion rate of the finished product order and the price-adjusting proportion as independent variables and takes the total volume of the transaction as a dependent variable, namely determining two main determining factors which take the conversion rate of the finished product order and the price-adjusting proportion as the total volume of the transaction instead of the supply-demand relation, and particularly for a capacity platform with balanced supply and demand, the total volume of the transaction can be further improved.

Meanwhile, due to the corresponding relation among the actual business amount, the preset business amount and the actual finished product amount, a fitting function between the total transaction amount and the preset business amount and the price adjusting proportion can be obtained, the accuracy of calculating the total transaction amount (commodity transaction total amount GMV) according to the preset business amount and the price adjusting proportion is improved, the accuracy and the reasonability of the preset business amount and the price adjusting proportion are improved, and the competitiveness of the capacity platform is favorably improved.

The fitting function may be established by using a linear regression model, a naive bayes model, a Gradient Boosting Decision Tree (GBDT) model, an XGBOOST model, or the like.

Furthermore, the corresponding preset service amount and the corresponding price adjusting proportion can be reversely calculated according to the set total volume of the transaction, and the price adjusting proportion is determined by comprehensively referring to the order sending willingness of the passenger and the order receiving willingness of the driver, so that the accuracy of calculating the price adjusting proportion is effectively improved, and the market share and the total volume of the transaction of the capacity platform are favorably improved.

In any of the above technical solutions, preferably, the method further includes: detecting whether the passenger client confirms to receive the price-adjusting proportion and issue an order or not aiming at any historical transport capacity order, and recording the order as a demand conversion rate; after the demand conversion rate is determined, detecting whether the driver client confirms to receive the price-adjusting proportion and connects the order, and recording the order conversion rate; and fitting the demand conversion rate and the single conversion rate to determine the corresponding relation between the price adjusting ratio and the single conversion rate, and recording the corresponding relation as a first corresponding relation.

In the technical scheme, the accuracy of calculating the single conversion rate corresponding to the price adjustment ratio is improved by determining the corresponding single conversion rate after the requirement conversion rate is determined and determining the corresponding relation between the price adjustment ratio and the single conversion rate, namely the corresponding relation between the price adjustment ratio and the single conversion rate is established by a fitting method, so that the accuracy of a single conversion rate model is improved, and the accuracy of calculating the single conversion rate and the total amount of transaction is improved.

The fitting process can adopt a linear regression model, a naive Bayes model, a GBDT model, an XGBOOST model and the like.

In any of the above technical solutions, preferably, the method further includes: determining a preset service amount, a corresponding preset demand and an actual total demand; calculating a demand proportion between a preset demand and an actual demand; and fitting and determining the corresponding relation between the preset service amount and the demand proportion, and recording the corresponding relation as a second corresponding relation.

According to the technical scheme, the demand proportion between the preset demand and the actual demand is calculated, and the corresponding relation between the preset business amount and the demand proportion is established by an overfitting method, so that the accuracy of the demand model is improved, namely the demand proportion is improved by adjusting the preset business amount, and the accuracy and the reasonability of calculating the total transaction amount of the capacity platform are further improved.

The fitting determination step can adopt a time series model, a linear regression model, a naive Bayesian model, a GBDT model, an XGBOOST model, a neural network model and the like.

In any of the above technical solutions, preferably, the method further includes: and determining a distribution function of the actual total demand in any specified time period according to the operation time of all historical capacity orders.

In the technical scheme, especially for the capacity platform with supply and demand tending to balance, the supply and demand relationships in different time periods are greatly different, for example, the capacity demand in peak time periods on duty and off duty is far greater than the supply capacity, that is, the capacity is tense, and the capacity in other time periods is not tense relatively, so that the distribution function of the actual total demand in any specified time period is determined according to the operation time of all historical capacity orders, the real-time performance and the accuracy of the actual total demand are further improved, the capacity pricing strategy in different operation time periods is facilitated to be optimized, the commodity transaction total amount of the capacity platform is further improved, and the competitiveness of the capacity platform is further improved.

In any of the above technical solutions, preferably, determining a fitting function with the single conversion rate and the price adjustment ratio as independent variables and the total volume of trades as dependent variables specifically includes: in any operation time period, calculating a product expression among the first corresponding relation, the second corresponding relation, the preset service amount and the price-adjusting proportion; and when the preset service amount is determined to be in discrete distribution, performing accumulation calculation on the product expression, and determining the product between the result of the accumulation calculation and the distribution function of the actual total demand, wherein the product is the total transaction amount.

In the technical scheme, the service amount corresponding to any operation time period is obtained by calculating a product expression among the first corresponding relation, the second corresponding relation, the preset service amount and the price-adjusting proportion in any operation time period, when the preset service amount is determined to be in discrete distribution, the service amount in any operation time period is subjected to accumulated calculation and multiplied by a corresponding distribution function of the actual total demand to obtain the total transaction amount of the capacity platform, namely the total commodity transaction amount of the capacity platform, so that the accuracy and the rationality of calculating the total transaction amount of the capacity platform are improved.

Specifically, after the first corresponding relationship and the second corresponding relationship are established by a fitting method, a calculation formula of the total commodity transaction amount of the transportation platform is as follows:

wherein GMV (r) is total volume of transaction, r is price-adjusting proportion,as a function of the time distribution of the actual total demand, P (m)_iR) a functional expression of the first correspondence, m_iFor the ith discretely distributed preset service amount, M represents MDiscretely distributed preset service amounts, a sample set of which may be designated as { m }₁，m₂，m₃…m_m}，Q(m_i) And the method is a function expression of the second corresponding relation, namely, the preset business money in the sample set is sequentially substituted into the GMV (r) calculation formula, and the corresponding preset business money when the GMV (r) is maximum is determined.

In any of the above technical solutions, preferably, determining a fitting function with the single conversion rate and the price adjustment ratio as independent variables and the total volume of trades as dependent variables further includes: in any operation time period, calculating a product expression among the first corresponding relation, the second corresponding relation, the preset service amount and the price-adjusting proportion; and when the preset service amount is determined to be continuously distributed, performing integral calculation on the product expression, and determining the product between the result of the integral calculation and the distribution function of the actual total demand, wherein the product is the total transaction amount, the lower limit value of the integral interval of the integral budget is greater than or equal to zero, and the upper limit value of the integral interval is less than or equal to the maximum value of the preset service amount.

In the technical scheme, the service amount corresponding to any operation time period is obtained by calculating a product expression among the first corresponding relation, the second corresponding relation, the preset service amount and the price-adjusting proportion in any operation time period, when the preset service amount is determined to be continuously distributed, the service amount in any operation time period is subjected to integral operation and multiplied by a corresponding distribution function of the actual total demand to obtain the total transaction amount of the capacity platform, namely the total commodity transaction amount of the capacity platform, and similarly, the accuracy and the reasonability of calculating the total transaction amount of the capacity platform are further improved.

wherein GMV (r) is total volume of transaction, r is price-adjusting proportion,p (m, r) is a function expression of the first corresponding relation as a function of time distribution of the actual total demand, m is a preset service amount, m is a preset time_maxFor the set maximum preset transaction amount, q (m) is a function expression of the second corresponding relationship, and similarly, a preset transaction amount corresponding to the maximum gmv (r) is also determined.

According to a second aspect of the present invention, there is provided a capacity pricing apparatus, comprising: the determining unit is used for determining the actual business amount, the preset business amount and the corresponding actual finished-form amount of any historical capacity order; the determination unit is further configured to: determining a total transaction amount according to the actual business amount of all historical capacity orders; the capacity pricing device further comprises: and the fitting unit is used for determining a fitting function which takes the single conversion rate and the price adjusting proportion as independent variables and the total deal as dependent variables, wherein the single conversion rate is the ratio of the actual single amount to the estimated single amount, and the price adjusting proportion is the ratio of the actual service amount to the preset service amount.

In any of the above technical solutions, preferably, the method further includes: the detection unit is used for detecting whether the passenger client confirms to receive the price-adjusting proportion and issue the order or not according to any historical transport capacity order and recording the price-adjusting proportion as the demand conversion rate; the detection unit is further configured to: after the demand conversion rate is determined, detecting whether the driver client confirms to receive the price-adjusting proportion and connects the order, and recording the order conversion rate; the fitting unit is further configured to: and fitting the demand conversion rate and the single conversion rate to determine the corresponding relation between the price adjusting ratio and the single conversion rate, and recording the corresponding relation as a first corresponding relation.

In any of the above technical solutions, preferably, the determining unit is further configured to: determining a preset service amount, a corresponding preset demand and an actual total demand; the capacity pricing device further comprises: the calculating unit is used for calculating a demand proportion between the preset demand and the actual demand; the fitting unit is further configured to: and fitting and determining the corresponding relation between the preset service amount and the demand proportion, and recording the corresponding relation as a second corresponding relation.

In any of the above technical solutions, preferably, the determining unit is further configured to: and determining a distribution function of the actual total demand in any specified time period according to the operation time of all historical capacity orders.

In any of the above technical solutions, preferably, the calculating unit is further configured to: in any operation time period, calculating a product expression among the first corresponding relation, the second corresponding relation, the preset service amount and the price-adjusting proportion; the computing unit is further to: and when the preset service amount is determined to be in discrete distribution, performing accumulation calculation on the product expression, and determining the product between the result of the accumulation calculation and the distribution function of the actual total demand, wherein the product is the total transaction amount.

wherein GMV (r) is total volume of transaction, r is price-adjusting proportion,as a function of the time distribution of the actual total demand, P (m)_iR) a functional expression of the first correspondence, m_iFor the ith discretely distributed preset service amount, M represents the total M discretely distributed preset service amounts, and the sample set of the preset service amounts can be recorded as { M }₁，m₂，m₃…m_m}，Q(m_i) And the method is a function expression of the second corresponding relation, namely, the preset business money in the sample set is sequentially substituted into the GMV (r) calculation formula, and the corresponding preset business money when the GMV (r) is maximum is determined.

In any of the above technical solutions, preferably, the calculating unit is further configured to: in any operation time period, calculating a product expression among the first corresponding relation, the second corresponding relation, the preset service amount and the price-adjusting proportion; the computing unit is further to: and when the preset service amount is determined to be continuously distributed, performing integral calculation on the product expression, and determining the product between the result of the integral calculation and the distribution function of the actual total demand, wherein the product is the total transaction amount, the lower limit value of the integral interval of the integral budget is greater than or equal to zero, and the upper limit value of the integral interval is less than or equal to the maximum value of the preset service amount.

According to a technical solution of a third aspect of the present invention, there is provided a server including: the capacity pricing apparatus defined in any of the second aspects of the invention.

According to an aspect of the fourth aspect of the present invention, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed, implements the capacity pricing method as defined in any one of the aspects of the first aspect.

Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.

Drawings

The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:

FIG. 1 shows a schematic flow diagram of a capacity pricing method according to an embodiment of the invention;

FIG. 2 shows a schematic block diagram of a capacity pricing apparatus according to an embodiment of the invention;

FIG. 3 shows a schematic block diagram of a server according to one embodiment of the present invention;

FIG. 4 shows a schematic flow diagram of a method of calculating an optimal price ratio according to one embodiment of the present invention.

Detailed Description

In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.

FIG. 1 shows a schematic flow diagram of a capacity pricing method according to an embodiment of the invention.

As shown in fig. 1, a capacity pricing method according to an embodiment of the present invention includes: step S102, determining the actual business amount, the preset business amount and the corresponding actual finished-order amount of any historical capacity order; step S104, determining a total transaction amount according to the actual business amount of all historical capacity orders; and step S106, determining a fitting function which takes the single conversion rate and the price adjusting ratio as independent variables and the total deal as a dependent variable, wherein the single conversion rate is the ratio of the actual single amount to the estimated single amount, and the price adjusting ratio is the ratio of the actual service amount to the preset service amount.

wherein,GMV (r) is the total volume of the transaction, r is the price-adjusting proportion,as a function of the time distribution of the actual total demand, P (m)_iR) a functional expression of the first correspondence, m_iFor the ith discretely distributed preset service amount, M represents the total M discretely distributed preset service amounts, and the sample set of the preset service amounts can be recorded as { M }₁，m₂，m₃…m_m}，Q(m_i) And the method is a function expression of the second corresponding relation, namely, the preset business money in the sample set is sequentially substituted into the GMV (r) calculation formula, and the corresponding preset business money when the GMV (r) is maximum is determined.

FIG. 2 shows a schematic block diagram of a capacity pricing apparatus according to an embodiment of the invention.

As shown in fig. 2, a capacity pricing apparatus 200 according to an embodiment of the present invention includes: the determining unit 202 is configured to determine an actual business amount, a preset business amount, and a corresponding actual finished product amount of any historical capacity order; the determining unit 202 is further configured to: determining a total transaction amount according to the actual business amount of all historical capacity orders; capacity pricing apparatus 200 further includes: the fitting unit 204 is configured to determine a fitting function with a single conversion rate and a price adjustment ratio as independent variables and a total deal as a dependent variable, where the single conversion rate is a ratio of an actual single amount to an estimated single amount, and the price adjustment ratio is a ratio between an actual service amount and a preset service amount.

In any of the above technical solutions, preferably, the method further includes: the detection unit 206 is configured to detect whether the passenger client confirms to receive the price adjustment ratio and issue an order for any historical transportation capacity order, and record the price adjustment ratio as a demand conversion rate; the detection unit 206 is further configured to: after the demand conversion rate is determined, detecting whether the driver client confirms to receive the price-adjusting proportion and connects the order, and recording the order conversion rate; and the fitting unit 204 is configured to perform fitting processing on the demand conversion rate and the single conversion rate to determine a correspondence between the price adjustment ratio and the single conversion rate, and record the correspondence as the first correspondence.

In any of the above technical solutions, preferably, the determining unit 202 is further configured to: determining a preset service amount, a corresponding preset demand and an actual total demand; capacity pricing apparatus 200 further includes: a calculating unit 208 for calculating a demand ratio between a preset demand and an actual demand; the fitting unit 204 is further configured to: and fitting and determining the corresponding relation between the preset service amount and the demand proportion, and recording the corresponding relation as a second corresponding relation.

In any of the above technical solutions, preferably, the determining unit 202 is further configured to: and determining a distribution function of the actual total demand in any specified time period according to the operation time of all historical capacity orders.

In any of the above technical solutions, preferably, the calculating unit 208 is further configured to: in any operation time period, calculating a product expression among the first corresponding relation, the second corresponding relation, the preset service amount and the price-adjusting proportion; the computing unit 208 is further configured to: and when the preset service amount is determined to be in discrete distribution, performing accumulation calculation on the product expression, and determining the product between the result of the accumulation calculation and the distribution function of the actual total demand, wherein the product is the total transaction amount.

wherein GMV (r) is total volume of transaction, r is price-adjusting proportion,as a function of the time distribution of the actual total demand, P (m)_iR) a functional expression of the first correspondence, m_iFor the ith discretely distributed preset service amount, M represents the total M discretely distributed preset service amounts, and the sample set of the preset service amounts can be recorded as { M }₁，m₂，m₃…m_m}，Q(m_i) Is a function expression of the second corresponding relationship, that is, the preset service amount in the sample set is sequentially addedSubstituting the above GMV (r) calculation formula to determine a preset business amount corresponding to the maximum GMV (r).

In any of the above technical solutions, preferably, the calculating unit 208 is further configured to: in any operation time period, calculating a product expression among the first corresponding relation, the second corresponding relation, the preset service amount and the price-adjusting proportion; the computing unit 208 is further configured to: and when the preset service amount is determined to be continuously distributed, performing integral calculation on the product expression, and determining the product between the result of the integral calculation and the distribution function of the actual total demand, wherein the product is the total transaction amount, the lower limit value of the integral interval of the integral budget is greater than or equal to zero, and the upper limit value of the integral interval is less than or equal to the maximum value of the preset service amount.

wherein GMV (r) is total volume of transaction, r is price-adjusting proportion,p (m, r) is a function expression of the first corresponding relation as a function of time distribution of the actual total demand, m is a preset service amount, m is a preset time_maxFor a set maximum preset transaction amount, Q (m) is a function of the second correspondenceThe expression, similarly, is a preset service amount corresponding to the maximum GMV (r).

The determining unit 202, the detecting unit 206, the fitting unit 204 and the calculating unit 208 in the capacity pricing apparatus 200 may be at least one of a central processing unit CPU, a digital signal processor DSP, a microcontroller MCU or electronic components with the same functions.

Fig. 3 shows a schematic block diagram of a server according to an embodiment of the invention.

As shown in fig. 3, a server 300 according to an embodiment of the present invention includes: such as capacity pricing device 200 shown in fig. 2.

Example (b):

FIG. 4 shows a schematic flow diagram of a method of calculating an optimal commodity transaction total according to one embodiment of the present invention.

As shown in fig. 4, a method for calculating an optimal commodity transaction total according to an embodiment of the present invention includes: step S402, acquiring price information of all user demands in a period of history; step S404, acquiring the order information of all users in a period of history; step S406, fitting a single conversion rate by using a model; step S408, fitting preset business amount distribution by using a model; step S410, predicting the actual total demand for a period of time in the future by using a model; step S412, calculating GMV in a future period of time based on the conversion rate of the bill, the preset service amount distribution and the actual total demand in the future period of time; in step S414, a pricing plan optimized for GMV is automatically searched.

The steps S402 to S414 specifically include the following steps:

(1) acquiring the preset business amount m seen by all users after inputting the starting point and the ending point in a period of history and the actual business amount after the voucher and the dynamic price adjustmentAnd calculates the price ratio actually perceived by the user

(2) Acquiring order information of whether all users finally send orders and finally make orders and pay corresponding amount after price estimation used by all users in a period of history.

(3) Establishing a list conversion rate model P (m, r) by using the acquired preset service amount m, the price adjusting ratio r actually sensed by the user and the information of whether the list is formed finally, wherein the model simulates the probability that the user is willing to issue the list after knowing the current preset service amount m and the price adjusting ratio r and whether the list is successfully preempted by a driver and the list is formed finally, namely the list conversion rate, and the establishing method of the model comprises the following steps: linear regression models, naive bayes models, GBDT models, XGBOOST models, etc.

(4) The method comprises the following steps of establishing a demand distribution model Q (m) by utilizing the acquired preset service amount m, the preset demand amount corresponding to the preset service amount m and the actual demand total amount, wherein the model simulates the demand proportion under the condition of a specified price m, and the establishment method of the model comprises the following steps: linear regression models, naive bayes models, GBDT models, XGBOOST models, etc.

(5) Establishing an actual demand sum model by using the acquired actual demand sum of each historical stageThe model is used for measuring and calculating the change condition of the demand in a future period of time and guiding whether the model is suitable for a GMV optimal algorithm, and the method for establishing the actual demand total quantity model comprises the following steps: time series models, XGBoost models, GBDT models, linear regression models, neural network models, and the like.

(6) And calculating the commodity transaction total GMV under different price-adjusting proportions r based on the single conversion rate model, the demand distribution model and the actual demand total model.

When the preset business amount m is in discrete distribution, the calculation formula of the total commodity transaction amount of the transportation platform is as follows:

wherein GMV (r) is total amount of commodity transaction (total amount of transaction), r is the price-adjusting proportion,is a model of the total actual demand (a time distribution function of the total actual demand), P (m)_iR) is a one-to-one conversion rate model (first correspondence), m_iFor the ith discretely distributed preset service amount, M represents the preset service amount of M discretely distributed sections, such as { M }₁，m₂，m₃…m_m}，Q(m_i) A demand distribution model (second correspondence).

When the preset business amount m is continuously distributed, the calculation formula of the total commodity transaction amount of the transport platform is as follows:

wherein GMV (r) is total amount of commodity transaction, r is price ratio,for the actual total demand model, P (m, r) is the conversion rate model, m is the preset service amount, m is_maxAnd Q (m) is a demand distribution model for the set maximum preset business sum.

(7) The automated search optimizes the pricing proportion r with the GMV.

When the preset service amount m is in discrete distribution, the calculation formula of the price-adjusting proportion r corresponding to the optimal GMV is as follows:

and if r is less than 1, a price reduction strategy is required, and if r is equal to 1, the current price strategy is that the GMV is optimal and does not need to be adjusted.

The adjusted service amount r × m is, for example, the original starting price or mileage fee is m, and the adjusted starting price or mileage fee is r × m.

According to an embodiment of the present invention, there is also provided a computer-readable storage medium having stored thereon a computer program which, when executed, performs the steps of: determining the actual business amount, the preset business amount and the corresponding actual finished-order amount of any historical capacity order; determining a total transaction amount according to the actual business amount of all historical capacity orders; and determining a fitting function which takes the one-forming conversion rate and the price-adjusting ratio as independent variables and the total transaction amount as a dependent variable, wherein the one-forming conversion rate is the ratio of the actual one-forming amount to the estimated one-forming amount, and the price-adjusting ratio is the ratio of the actual service amount to the preset service amount.

The technical scheme of the invention is explained in detail in the above with reference to the accompanying drawings, and the invention provides a capacity pricing method, a capacity pricing device, a server and a computer readable storage medium, which improve the accuracy of calculating the capacity adjustment ratio of any capacity order by referring to the actual business amount, the preset business amount and the actual amount of the capacity order of any historical capacity order, wherein the capacity conversion rate and the capacity adjustment ratio are determined as independent variables, the total volume of the transaction is determined as a fitting function of the dependent variable, namely the capacity conversion rate and the capacity adjustment ratio are determined as two main determining factors of the total volume of the transaction instead of the factor of the supply and demand relationship, and particularly the capacity platform with balanced supply and demand can further improve the total volume of the transaction.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A capacity pricing method, comprising:

determining the actual business amount, the preset business amount and the corresponding actual finished-order amount of any historical capacity order;

determining a total transaction amount according to the actual business amount of all the historical capacity orders;

determining a fitting function which takes the single-forming conversion rate and the price-adjusting ratio as independent variables and takes the total transaction amount as a dependent variable,

the bill forming conversion rate is the ratio of the actual bill forming amount to the estimated bill forming amount, and the price adjusting ratio is the ratio of the actual service amount to the preset service amount.

2. The capacity pricing method of claim 1, further comprising:

detecting whether the passenger client confirms to receive the price-adjusting proportion and issue an order or not aiming at any historical transport capacity order, and recording the order as a demand conversion rate;

after the demand conversion rate is determined, detecting whether a driver client confirms to receive the price-adjusting proportion and receives a bill, and recording the bill conversion rate;

and fitting the demand conversion rate and the single conversion rate to determine the corresponding relation between the price adjusting ratio and the single conversion rate, and recording the corresponding relation as a first corresponding relation.

3. The capacity pricing method according to claim 1 or 2, further comprising:

determining the preset service amount, the corresponding preset demand and the actual total demand;

calculating a demand proportion between the preset demand and the actual demand;

and fitting and determining the corresponding relation between the preset service amount and the demand proportion, and recording the corresponding relation as a second corresponding relation.

4. The capacity pricing method of claim 3, further comprising:

and determining a distribution function of the actual total demand in any specified time period according to the operation time of all the historical capacity orders.

5. The capacity pricing method according to claim 4, wherein the determining a fitting function with the one-turn conversion rate and the price adjustment ratio as independent variables and the total volume of trades as dependent variables specifically comprises:

in any operation time period, calculating a product expression among the first corresponding relation, the second corresponding relation, the preset service amount and the price-adjusting proportion;

and when the preset service amount is determined to be in discrete distribution, performing accumulation calculation on the product expression, and determining the product between the result of the accumulation calculation and the distribution function of the actual total demand, wherein the product is the total volume of the deal.

6. The capacity pricing method according to claim 4, wherein the determining a fitting function with the one-to-one conversion rate and the price adjustment ratio as independent variables and the total volume of trades as dependent variables further comprises:

when the preset service amount is determined to be continuously distributed, integral calculation is carried out on the product expression, the product between the result of the integral calculation and the distribution function of the actual total demand is determined, the product is the transaction total amount,

and the lower limit value of the integral interval of the integral budget is greater than or equal to zero, and the upper limit value of the integral interval is less than or equal to the maximum value of the preset service amount.

7. A capacity pricing device, comprising:

the determining unit is used for determining the actual business amount, the preset business amount and the corresponding actual finished-form amount of any historical capacity order;

the determination unit is further configured to: determining a total transaction amount according to the actual business amount of all the historical capacity orders;

the capacity pricing apparatus further includes:

a fitting unit for determining a fitting function with the single conversion rate and the price ratio as independent variables and the total transaction amount as a dependent variable,

8. The capacity pricing device of claim 7, further comprising:

the detection unit is used for detecting whether the passenger client confirms to receive the price-adjusting proportion and issue the order or not according to any historical transport capacity order and recording the price-adjusting proportion as a demand conversion rate;

the detection unit is further configured to: after the demand conversion rate is determined, detecting whether a driver client confirms to receive the price-adjusting proportion and receives a bill, and recording the bill conversion rate;

the fitting unit is further configured to: and fitting the demand conversion rate and the single conversion rate to determine the corresponding relation between the price adjusting ratio and the single conversion rate, and recording the corresponding relation as a first corresponding relation.

9. Capacity pricing device according to claim 7 or 8,

the determination unit is further configured to: determining the preset service amount, the corresponding preset demand and the actual total demand;

the capacity pricing apparatus further includes:

the calculating unit is used for calculating a demand proportion between the preset demand and the actual demand;

the fitting unit is further configured to: and fitting and determining the corresponding relation between the preset service amount and the demand proportion, and recording the corresponding relation as a second corresponding relation.

10. The capacity pricing device of claim 9,

the determination unit is further configured to: and determining a distribution function of the actual total demand in any specified time period according to the operation time of all the historical capacity orders.

11. The capacity pricing device of claim 10,

the computing unit is further to: in any operation time period, calculating a product expression among the first corresponding relation, the second corresponding relation, the preset service amount and the price-adjusting proportion;

the computing unit is further to: and when the preset service amount is determined to be in discrete distribution, performing accumulation calculation on the product expression, and determining the product between the result of the accumulation calculation and the distribution function of the actual total demand, wherein the product is the total volume of the deal.

12. The capacity pricing device of claim 10,

the computing unit is further to: when the preset service amount is determined to be continuously distributed, integral calculation is carried out on the product expression, the product between the result of the integral calculation and the distribution function of the actual total demand is determined, the product is the transaction total amount,

13. A server provided with a memory, a processor and a computer program stored on the memory and executable on the processor,

the steps of the capacity pricing method according to any of claims 1 to 6 are implemented by a processor executing a computer program;

and/or comprising capacity pricing apparatus according to any of claims 7 to 12.

14. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a capacity pricing method according to one of the claims 1 to 6.