CN115577815A - Order processing method and device, electronic equipment and storage medium - Google Patents
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Abstract
The application discloses an order processing method, an order processing device, electronic equipment and a storage medium, which belong to the technical field of Internet, and the method comprises the following steps: the method comprises the steps of obtaining supply and demand relation representation information between transport capacity and orders in a specified area in a current period, determining the supply and demand relation between the transport capacity and the orders in the specified area based on the supply and demand relation representation information, determining a target order dispatching time interval for the orders in an order pool based on an interval control strategy corresponding to the supply and demand relation, and dispatching the orders in the order pool according to the target order dispatching time interval. Therefore, different target order dispatching time intervals are used for different supply and demand relationships, the competitiveness of the user demand is favorably improved when the capacity supply is larger than the user demand, the order dispatching quality is optimized when the capacity supply is smaller than the user demand, and the order processing rationality is improved.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to an order processing method and apparatus, an electronic device, and a storage medium.
Background
With the rapid development of internet technology, many network orders such as a network appointment order, a take-away order, a designated driving order, etc. appear. In either form of network order, order processing is important.
Taking the network car booking order as an example, the network car booking order of the user is generally put into an order pool first, and then all orders in the order pool are obtained and dispatched at set time intervals. Similar problems exist with other types of network orders.
Disclosure of Invention
The embodiment of the application provides an order processing method and device, electronic equipment and a storage medium, which are used for optimizing order processing modes in the related technology.
In a first aspect, an embodiment of the present application provides an order processing method, including:
acquiring supply and demand relation representation information between the transport capacity and the order in the specified area of the current period;
determining a supply-demand relation between the transport capacity and the order in the designated area based on the supply-demand relation representation information;
determining a target order dispatching time interval of orders in an order pool based on an interval control strategy corresponding to the supply and demand relation;
and dispatching orders in the order pool according to the target order dispatching time interval.
In some embodiments, the supply-demand relationship characterization information includes an order placing quantity and an order quantity picked up, and determining a supply-demand relationship between capacity and orders in the designated area based on the supply-demand relationship characterization information includes:
determining the percentage of the number of the picked orders in the number of placed orders as the order pickup rate;
if the order pick-up rate is larger than or equal to an upper limit threshold, determining that the supply-demand relationship is that the capacity supply is larger than the order demand;
if the order pick-up rate is smaller than or equal to a lower limit threshold, determining that the supply-demand relationship is that the capacity supply is smaller than the order demand;
and if the order pick-up rate is larger than the lower threshold and smaller than the upper threshold, determining that the supply-demand relationship is that the capacity supply is equal to the order demand.
In some embodiments, determining a target order dispatching time interval for the orders in the order pool based on the interval control strategy corresponding to the supply-demand relationship comprises:
if the supply and demand relation is that the transport capacity supply is larger than the order demand, determining the target order dispatching time interval according to a rule of reducing the set order dispatching time interval;
if the supply and demand relation is that the transport capacity supply is smaller than the order demand, determining the target order dispatching time interval according to a rule of increasing the set order dispatching time interval;
and if the supply-demand relation is that the capacity supply is equal to the order demand, determining the set order dispatching time interval as the target order dispatching time interval.
In some embodiments, determining the target dispatch interval according to a rule that reduces the set dispatch interval comprises:
determining a first difference between the upper threshold and the order acceptance rate;
and reducing the set order dispatching time interval according to a rule that the first difference is negatively correlated with the reduction amplitude to obtain the target order dispatching time interval.
In some embodiments, determining the target dispatch interval according to a rule of increasing a set dispatch interval comprises:
determining a second difference between the lower threshold and the order pick-up rate;
and increasing the set order sending time interval according to a rule that the second difference value is positively correlated with the increase amplitude to obtain the target order sending time interval.
In some embodiments, dispatching orders in the order pool at the target dispatch interval comprises:
matching orders in the order pool with order receiving ends capable of receiving orders according to matching strategies corresponding to the supply and demand relations at intervals of the target order sending time;
and dispatching each order in the order pool to a corresponding order receiving end based on a matching result.
In some embodiments, matching the orders in the order pool with the order receiving ends capable of receiving orders according to the matching policy corresponding to the supply and demand relationship includes:
if the supply and demand relation is that the capacity supply is larger than the order demand, matching the order in the order pool with the order receiving end capable of receiving the order according to the rule that the order receiving distance is smaller than a first preset value and the service quality of the order receiving end exceeds the set quality;
if the supply and demand relation is that the transport capacity supply is smaller than the order demand, matching order receiving ends capable of receiving orders for the orders in the order pool in sequence from high order to low order;
and if the supply and demand relation is that the capacity supply is equal to the order demand, matching the orders in the order pool with the order receiving ends capable of receiving orders according to the rule that the order grade is from high to low and the order receiving distance is smaller than a second preset value, wherein the second preset value is larger than the first preset value.
In a second aspect, an embodiment of the present application provides an order processing apparatus, including:
the acquisition module is used for acquiring supply and demand relation representation information between the transport capacity and the order in the current period designated area;
the supply and demand determination module is used for determining the supply and demand relationship between the transport capacity and the order in the specified area based on the supply and demand relationship representation information;
the interval determining module is used for determining a target order dispatching time interval of the orders in the order pool based on the interval control strategy corresponding to the supply and demand relation;
and the order dispatching module is used for dispatching the orders in the order pool according to the target order dispatching time interval.
In some embodiments, the supply and demand relationship characterization information includes an order placing quantity and a picked order quantity, and the supply and demand determination module is specifically configured to:
determining the percentage of the picked order quantity in the order placing quantity as an order pickup rate;
if the order pick-up rate is larger than or equal to an upper limit threshold, determining that the supply-demand relationship is that the capacity supply is larger than the order demand;
if the order pick-up rate is smaller than or equal to a lower limit threshold, determining that the supply-demand relation is that the capacity supply is smaller than the order demand;
and if the order pick-up rate is larger than the lower threshold and smaller than the upper threshold, determining that the supply-demand relationship is that the capacity supply is equal to the order demand.
In some embodiments, the interval determination module is specifically configured to:
if the supply and demand relation is that the transport capacity supply is larger than the order demand, determining the target order dispatching time interval according to a rule of reducing the set order dispatching time interval;
if the supply and demand relation is that the transport capacity supply is smaller than the order demand, determining the target order dispatching time interval according to a rule of increasing the set order dispatching time interval;
and if the supply-demand relation is that the transport capacity supply is equal to the order demand, determining the set order sending time interval as the target order sending time interval.
In some embodiments, the interval determining module is specifically configured to:
determining a first difference between the upper threshold and the order acceptance rate;
and reducing the set order dispatching time interval according to a rule that the first difference is negatively correlated with the reduction amplitude to obtain the target order dispatching time interval.
In some embodiments, the interval determination module is specifically configured to:
determining a second difference between the lower threshold and the order pickup rate;
and increasing the set order dispatching time interval according to the rule that the second difference is positively correlated with the increase amplitude to obtain the target order dispatching time interval.
In some embodiments, the order module is specifically configured to:
matching orders in the order pool with order receiving ends capable of receiving orders according to matching strategies corresponding to the supply and demand relations at intervals of the target order sending time;
and dispatching each order in the order pool to a corresponding order receiving end based on a matching result.
In some embodiments, the order module is specifically configured to:
matching the orders in the order pool with the order receiving end capable of receiving the orders according to the matching strategy corresponding to the supply and demand relationship, wherein the matching comprises the following steps:
if the supply and demand relation is that the transport capacity supply is larger than the order demand, matching the orders in the order pool with the order receiving ends capable of receiving orders according to the rule that the order receiving distance is smaller than a first preset value and the service quality of the order receiving ends exceeds the set quality;
if the supply and demand relation is that the transport capacity supply is smaller than the order demand, matching order receiving ends capable of receiving orders for the orders in the order pool in sequence from high order to low order;
and if the supply and demand relation is that the capacity supply is equal to the order demand, matching the orders in the order pool with the order receiving ends capable of receiving orders according to the rule that the order grade is from high to low and the order receiving distance is smaller than a second preset value, wherein the second preset value is larger than the first preset value.
In a third aspect, an embodiment of the present application provides an electronic device, including: at least one processor, and a memory communicatively coupled to the at least one processor, wherein:
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the above-described order processing method.
In a fourth aspect, an embodiment of the present application provides a storage medium, where when a computer program in the storage medium is executed by a processor of an electronic device, the electronic device is capable of executing the order processing method.
In the embodiment of the application, supply and demand relation representation information between the transport capacity and the orders in the specified area in the current period is obtained, the supply and demand relation between the transport capacity and the orders in the specified area is determined based on the supply and demand relation representation information, a target order dispatching time interval for the orders in the order pool is determined based on an interval control strategy corresponding to the supply and demand relation, and then the orders in the order pool are dispatched according to the target order dispatching time interval. Therefore, different target order dispatching time intervals are used for different supply and demand relationships, the competitiveness of the user demand is favorably improved when the capacity supply is larger than the user demand, the order dispatching quality is optimized when the capacity supply is smaller than the user demand, and the order processing rationality is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic view of an application scenario of an order processing method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a process for dispatching orders according to an embodiment of the present application;
fig. 3 is a flowchart of an order processing method according to an embodiment of the present application;
fig. 4 is a flowchart of determining a supply-demand relationship between transportation capacity and an order based on an order pickup rate according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an order processing apparatus according to an embodiment of the present application;
fig. 6 is a schematic hardware structure diagram of an electronic device for implementing an order processing method according to an embodiment of the present application.
Detailed Description
In order to optimize an order processing mode in the related art, the embodiment of the application provides an order processing method and device, electronic equipment and a storage medium.
The preferred embodiments of the present application will be described below with reference to the accompanying drawings of the specification, it should be understood that the preferred embodiments described herein are merely for illustrating and explaining the present application, and are not intended to limit the present application, and that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The order processing method provided by the embodiment of the application can be applied to various scenes such as online taxi appointment, take-out, designated driving, commodity arrival and the like. Fig. 1 is an application scenario diagram of an order processing method according to an embodiment of the present application, including a lower end, a server, and an interface end, where the lower end is connected to the server through a wired network or a wireless network, and the interface end is also connected to the server through a wired network or a wireless network.
The order issuing end, such as a mobile phone, an Ipad, a computer, etc., may send an order issuing request to the server, where the order issuing request may include order information such as a starting point, an ending point, a user address, a telephone, etc.
The server can carry out integrity check on order information in the order placing request when receiving the order placing request sent by any order placing end, place the corresponding order into the order pool after the check is passed, dispatch the order in the order pool when the time interval of each round of dispatching is reached, select an order receiving end for each order, send order receiving information such as identification information of the order receiving end, predicted delivery time and the like to the order placing end corresponding to the order, and send a dispatching instruction to the selected order receiving end, wherein the dispatching instruction comprises the dispatching information such as order number, starting point, terminal point, address of a user, telephone and the like.
And the order receiving end, such as a mobile phone, an Ipad, a computer and the like, executes an order receiving flow and an order sending flow based on the order sending information in the order sending instruction after receiving the order sending instruction sent by the server.
Referring to fig. 2 and fig. 2 are schematic diagrams of a process of dispatching orders provided in an embodiment of the present application, after a user places an order, the order is submitted to an order processing system (deployed in the server in fig. 1), the order processing system verifies integrity of information in the order, if the information passes the verification, the order is placed in an order pool, and then all orders are obtained from the order pool and dispatched according to a time interval of each round of dispatching orders, that is, a receiving end matched with each order is determined, information of the receiving end is sent to the user, and a dispatching instruction is sent to the receiving end to trigger the receiving end to dispatch the order.
In the above process, one order dispatching refers to the process from taking orders from the order pool to dispatching all the orders obtained, and the time interval between the taking of orders from the order pool is generally in the order of seconds, and each time the dispatching is finishedThe duration of time required to take all orders is typically hundreds of milliseconds, i.e., the time required to dispatch an order in a dispatch process is less than the time interval to take the order, so the frequency of dispatches depends on the time interval to take orders from the order pool. Assuming that the time interval for taking orders from the order pool is T, the frequency of orders is
In practical application, the user requirements are often insufficient in the peak period, a large amount of transport capacity is in a tour state, and the transport capacity of each platform is in a competitive state for the user requirements; and in peak periods, the user needs enough, the transport capacity is seriously insufficient, and each platform needs more reasonable transport capacity distribution. In view of the above, the inventor proposes to increase the dispatching frequency during the peak period to improve the ability of the platform to compete for the user demand, and decrease the dispatching frequency during the peak period to improve the dispatching quality of the platform, thereby improving the dispatching efficiency and the receiving rate of the platform as a whole.
After introducing the application scenario and the inventive concept of the present application, the order processing method proposed by the present application is described below with specific embodiments.
Fig. 3 is a flowchart of an order processing method according to an embodiment of the present application, where the method is applied to the server in fig. 1, and the method includes the following steps.
In step 301, supply and demand relation representation information between the capacity and the orders in the specified area of the current period is obtained.
Where the current period is, for example, half an hour, etc., and the area is designated, for example, a city, an administrative district, etc.
In some embodiments, the supply-demand relationship characterization information may include the number of orders placed and the number of orders picked.
In step 302, based on the supply-demand relation representation information, the supply-demand relation between the capacity and the order in the designated area is determined.
Taking the supply-demand relationship characterization information including the placed order quantity and the picked order quantity as an example, when determining the supply-demand relationship between the capacity and the orders in the designated area, the percentage of the picked order quantity in the placed order quantity can be determined as the order pickup rate, then, if the order pickup rate is greater than or equal to the upper threshold, the supply-demand relationship is determined that the capacity supply is greater than the order demand, if the order pickup rate is less than or equal to the lower threshold, the supply-demand relationship is determined that the capacity supply is less than the order demand, and if the order pickup rate is greater than the lower threshold and less than the upper threshold, the supply-demand relationship is determined that the capacity supply is equal to the order demand.
If the upper threshold is 90% and the lower threshold is 60%, then if the order pick-up rate is 58, it means that the supply-demand relationship between the capacity and the order in the designated area is that the capacity supply is less than the user demand; if the order pick-up rate is 70, the supply-demand relation between the transport capacity and the order in the designated area is that the transport capacity supply is equal to the user demand; if the order pick-up rate is 95, the supply-demand relationship between the capacity and the order in the designated area is that the capacity supply is larger than the user demand.
In step 303, a target order dispatching time interval for the orders in the order pool is determined based on the interval control strategy corresponding to the supply-demand relationship.
In the first case, where the supply-demand relationship is that the capacity supply is greater than the order demand, the target dispatch interval may be determined according to a rule that decreases the set dispatch interval.
Following the above example, a first difference between the upper threshold and the order pickup rate may be determined, and then the set order interval may be decreased according to a rule that the first difference is negatively correlated with the decrease magnitude, thereby obtaining a target order interval.
For example, the target dispatch interval T' is determined according to the following formula:
T′＝f(p，topThreshold)*T；
f(p，topThreshold)＝k1*(topThreshold-p)+N1；
where T denotes a set dispatch interval, p denotes a order pickup rate, topThreshold denotes an upper threshold, N1 is a predetermined constant value, and 0-N1-k 1 denotes a speed at which the dispatch interval decreases as the order pickup rate increases, which may be predetermined according to a rule that the pickup rate increase speed is positively correlated with the dispatch interval decrease speed, and k1 is greater than zero.
In the second case, where the supply-demand relationship is that the capacity supply is less than the order demand, the target dispatch interval may be determined according to rules that increase the set dispatch interval.
In specific implementation, a second difference between the lower limit threshold and the order taking-up rate can be determined, and the order dispatching time interval is increased and set according to a rule that the second difference is positively correlated with the reduction amplitude, so that the target order dispatching time interval is obtained.
For example, the target dispatch interval T' is determined according to the following formula:
T′＝f(p，bottomThreshold)*T；
f(p，bottomThreshold)＝k2*(bottomThreshold-p)+N2；
wherein, T represents the set dispatch time interval, p represents the order pick-up rate, botttomthhreshold represents the lower threshold, N2 is a predetermined constant value, and N2>1, k2 represents the speed of the dispatch time interval increasing with the decrease of the order pick-up rate, which can be predetermined according to the rule that the pick-up rate decreasing speed is positively correlated with the dispatch time interval increasing speed, and k2 is greater than zero.
In a third case, where the supply-demand relationship is capacity supply equal to order demand, the set order interval may be determined as the target order interval.
I.e., T' = T;
wherein T represents the set dispatch interval.
In step 304, orders in the order pool are dispatched at the target dispatch interval.
To further optimize the manner in which orders are served, in some embodiments, orders in the order pool may be served in conjunction with supply-demand relationships.
For example, every target order dispatching time interval, the orders in the order pool are matched with the order receiving ends capable of receiving orders according to the matching strategy corresponding to the supply-demand relationship, and then each order in the order pool is dispatched to the corresponding order receiving end based on the matching result.
In the first case, the supply-demand relationship is that the capacity supply is greater than the order demand, and the matching policy may be: and matching the orders in the order pool with the order receiving ends capable of receiving the orders according to the rules that the order receiving distance is smaller than the first preset value and the service quality of the order receiving ends exceeds the set quality. Therefore, the order receiving end which is shorter in order receiving distance and better in service can be conveniently selected to send orders, and the order sending efficiency and the order receiving experience of the order receiving end are preferentially met.
In the second case, the supply-demand relationship is that the capacity supply is smaller than the order demand, and the matching policy may be: and matching the orders in the order pool with order taking ends capable of taking orders according to the order grade from high to low. The order level may be determined according to actual scenarios, for example, according to a rule that the earlier the order is, the higher the level is. Therefore, the transport capacity is reserved to users with higher requirements according to actual scenes, and the flexibility is better.
In the third case, the supply-demand relationship is that the capacity supply is equal to the order demand, and the matching policy may be: and matching the orders in the order pool with the order receiving ends capable of receiving the orders according to the order from high to low of the order grade and the rule that the order receiving distance is smaller than a second preset value, wherein the second preset value is larger than the first preset value. Therefore, the order is dispatched by integrating the order receiving distance and the order grade, and the dispatching efficiency and the income can be considered.
In some embodiments, the same matching strategy may be applied to various supply and demand relationships, for example, the orders in the order pool and the order receiving ends that can receive orders are matched according to the order level sequence from high to low and the rule that the order receiving distance is smaller than the second preset value, so as to take account of the order dispatching efficiency and the profit.
In the embodiment of the application, when the transport capacity supply in the designated area is less than the demand of the orders, the set order dispatching time interval can be increased, namely the order dispatching frequency is reduced, so that the number of the orders needing to be dispatched each time is increased, the matching effect of the orders and the receiving end is improved, and the dispatching quality is improved; when the transport capacity supply in the designated area is larger than the order demand, the set order dispatching time interval can be reduced, namely the order dispatching frequency is increased, and the competitiveness of the platform on the user demand is improved. The dispatching efficiency and the receiving efficiency are improved as a whole.
The method provided by the embodiment of the present application is described below by taking an example in which the order is a network taxi appointment order and the designated area is city a.
First, the order placing number and the order number picked up in the city a of the current cycle are acquired, and then, the order pickup rate = (order number picked up/order placing number) × 100% is calculated.
Next, referring to fig. 4, based on the order pickup rate, the supply-demand relationship between the capacity and the order in the city a in the current period is determined.
Specifically, whether the order pick-up rate is greater than or equal to an upper limit threshold value or not is judged, if yes, the capacity supply in the city a in the current period is determined to be greater than the order demand, if not, whether the order pick-up rate is smaller than or equal to a lower limit threshold value or not is further judged, if yes, the capacity supply in the city a in the current period is determined to be smaller than the order demand, and if not, the capacity supply in the city a in the current period is determined to be equal to the order demand.
Then, based on the supply-demand relationship, a target order serving time interval for the orders in the order pool is determined.
In the first case, when it is determined that the capacity supply in the city a in the current period is greater than the demand of the order, the time interval of each round of delivery can be reduced to obtain a target delivery time interval, so as to improve the delivery frequency and improve the competitiveness of the platform on the demand of the user.
For example, the target dispatch interval T' is determined according to the following formula:
T′＝f(p，topThreshold)*T；
f(p，topThreshold)＝k1*(topThreshold-p)+N1；
where T denotes a set dispatch interval, p denotes a order take-up rate, topThreshold denotes an upper threshold, N1 is a predetermined constant value, and 0N 1 s <1, k1 denotes a speed at which a dispatch interval decrease increases with the order take-up rate, may be predetermined according to the rule that the pick-up rate increase speed is positively correlated with the dispatch interval decrease speed, and k1 is greater than zero.
In the second case, when it is determined that the capacity supply in the city a in the current period is smaller than the order demand, the time interval of each round of order dispatching can be increased to obtain a target order dispatching time interval, so as to reduce the order dispatching frequency, enable each round to dispatch more orders, and improve the matching degree between the orders and the order taking ends.
For example, the target dispatch interval T' is determined according to the following formula:
T′＝f(p，bottomThreshold)*T；
f(p，bottomThreshold)＝k2*(bottomThreshold-p)+N2；
wherein, T represents the set dispatch time interval, p represents the order pick-up rate, botttomthhreshold represents the lower threshold, N2 is a predetermined constant value, and N2>1, k2 represents the speed of the dispatch time interval increasing with the decrease of the order pick-up rate, which can be predetermined according to the rule that the pick-up rate decreasing speed is positively correlated with the dispatch time interval increasing speed, and k2 is greater than zero.
In a third case, when it is determined that the capacity supply in city a of the current cycle is equal to the order demand, the set order interval may be determined as the target order interval.
And finally, matching the orders in the order pool with the order receiving ends capable of receiving the orders according to the matching strategy corresponding to the supply-demand relationship at intervals of target order dispatching time, and dispatching each order in the order pool to the corresponding order receiving end based on the matching result.
In the first case, the supply-demand relationship is that the capacity supply is greater than the order demand, and the matching policy may be: and matching the orders in the order pool with the order receiving ends capable of receiving the orders according to the rules that the order receiving distance is smaller than the first preset value and the service quality of the order receiving ends exceeds the set quality. Therefore, the order receiving end with shorter order receiving distance and better service can be conveniently selected to send orders, and the order receiving efficiency and the order receiving experience of the order receiving end are preferentially met.
In the second case, the supply-demand relationship is that the capacity supply is smaller than the order demand, and the matching policy may be: and matching the orders in the order pool with order taking ends capable of taking orders according to the order grade from high to low. The order level may be determined according to actual situations, for example, according to a rule that the earlier the order is made, the higher the priority is. Therefore, the transportation capacity is reserved to users with higher requirements according to actual requirements, and the flexibility is better.
In the third case, the supply-demand relationship is that the capacity supply is equal to the order demand, and the matching policy may be: and matching the orders in the order pool with the order receiving ends capable of receiving orders according to the sequence of the order grades from high to low and the rule that the order receiving distance is smaller than a second preset value, wherein the second preset value is larger than the first preset value. Therefore, the order is dispatched by integrating the order receiving distance and the order grade, and the dispatching efficiency and the income can be considered.
In some embodiments, the same matching strategy may be applied to various supply and demand relationships, for example, the orders in the order pool and the order receiving ends that can receive orders are matched according to the order level sequence from high to low and the rule that the order receiving distance is smaller than the second preset value, so as to take account of the order dispatching efficiency and the profit.
In the embodiment of the application, when the capacity supply is less than the demand of the user (namely, in a peak period), the dispatching time interval is increased so as to slow down the dispatching frequency; when the capacity supply is greater than the user demand (peak load), reducing the dispatching time interval to improve the dispatching frequency; when the capacity supply is equal to the user demand (supply-demand balance period), the order dispatching time interval is not changed, and the order dispatching is normally carried out. Therefore, the order dispatching frequency is automatically adjusted based on the supply and demand relationship, the order dispatching frequency can be increased in the peak period to seize the user demand, the order dispatching frequency is reduced in the peak period to increase the order dispatching amount, and finally the overall order dispatching efficiency and the pick-up rate are improved.
Based on the same technical concept, the embodiment of the present application further provides an order processing apparatus, and the principle of the order processing apparatus to solve the problem is similar to that of the order processing method, so the implementation of the order processing apparatus can refer to the implementation of the order processing method, and repeated details are not repeated.
Fig. 5 is a schematic structural diagram of an order processing apparatus according to an embodiment of the present application, including:
an obtaining module 501, configured to obtain supply-demand relationship representation information between a capacity and an order in a specified area in a current period;
a supply and demand determination module 502, configured to determine, based on the supply and demand relationship characterization information, a supply and demand relationship between the capacity and the order in the designated area;
an interval determining module 503, configured to determine a target order dispatching time interval for the orders in the order pool based on an interval control policy corresponding to the supply-demand relationship;
and the dispatching module 504 is configured to dispatch the orders in the order pool according to the target dispatching time interval.
In some embodiments, the supply and demand relationship characterization information includes an order placing quantity and an order quantity picked up, and the supply and demand determination module 502 is specifically configured to:
determining the percentage of the picked order quantity in the order placing quantity as an order pickup rate;
if the order pick-up rate is larger than or equal to an upper limit threshold, determining that the supply-demand relationship is that the capacity supply is larger than the order demand;
if the order pick-up rate is smaller than or equal to a lower limit threshold, determining that the supply-demand relation is that the capacity supply is smaller than the order demand;
and if the order pick-up rate is larger than the lower threshold and smaller than the upper threshold, determining that the supply-demand relationship is that the capacity supply is equal to the order demand.
In some embodiments, the interval determination module 503 is specifically configured to:
if the supply and demand relation is that the transport capacity supply is larger than the order demand, determining the target order dispatching time interval according to a rule of reducing the set order dispatching time interval;
if the supply and demand relation is that the transport capacity supply is smaller than the order demand, determining the target order dispatching time interval according to a rule of increasing the set order dispatching time interval;
and if the supply-demand relation is that the transport capacity supply is equal to the order demand, determining the set order sending time interval as the target order sending time interval.
In some embodiments, the interval determination module 503 is specifically configured to:
determining a first difference between the upper threshold and the order acceptance rate;
and reducing the set order dispatching time interval according to a rule that the first difference is negatively correlated with the reduction amplitude to obtain the target order dispatching time interval.
In some embodiments, the interval determining module 503 is specifically configured to:
determining a second difference between the lower threshold and the order pickup rate;
and increasing the set order dispatching time interval according to the rule that the second difference is positively correlated with the increase amplitude to obtain the target order dispatching time interval.
In some embodiments, the delegation module 504 is specifically configured to:
matching orders in the order pool with order receiving ends capable of receiving orders according to matching strategies corresponding to the supply and demand relations at intervals of the target order sending time;
and dispatching each order in the order pool to a corresponding order receiving end based on a matching result.
In some embodiments, the dispatch module 504 is specifically configured to:
if the supply and demand relation is that the transport capacity supply is larger than the order demand, matching the orders in the order pool with the order receiving ends capable of receiving orders according to the rule that the order receiving distance is smaller than a first preset value and the service quality of the order receiving ends exceeds the set quality;
if the supply and demand relation is that the transport capacity supply is smaller than the order demand, matching order receiving ends capable of receiving orders for the orders in the order pool in sequence from high order to low order;
and if the supply and demand relation is that the capacity supply is equal to the order demand, matching the orders in the order pool with the order receiving ends capable of receiving orders according to the rule that the order grade is from high to low and the order receiving distance is smaller than a second preset value, wherein the second preset value is larger than the first preset value.
In the embodiments of the present application, the division of the modules is schematic, and is only a logic function division, and in actual implementation, there may be another division manner, and in addition, each function module in the embodiments of the present application may be integrated in one processor, may also exist alone physically, and may also be integrated in one module by two or more modules. The coupling of the various modules to each other may be through interfaces that are typically electrical communication interfaces, but mechanical or other forms of interfaces are not excluded. Thus, modules described as separate components may or may not be physically separate, may be located in one place, or may be distributed in different locations on the same or different devices. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
After the order processing method and apparatus according to the exemplary embodiment of the present application are introduced, an electronic device according to another exemplary embodiment of the present application is introduced next.
An electronic device 130 implemented according to this embodiment of the present application is described below with reference to fig. 6. The electronic device 130 shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 6, the electronic device 130 is represented in the form of a general electronic device. The components of the electronic device 130 may include, but are not limited to: the at least one processor 131, the at least one memory 132, and a bus 133 that couples various system components including the memory 132 and the processor 131.
The memory 132 may include readable media in the form of volatile memory, such as Random Access Memory (RAM) 1321 and/or cache memory 1322, and may further include Read Only Memory (ROM) 1323.
The electronic device 130 may also communicate with one or more external devices 134 (e.g., keyboard, pointing device, etc.), with one or more devices that enable a user to interact with the electronic device 130, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 130 to communicate with one or more other electronic devices. Such communication may occur via input/output (I/O) interfaces 135. Also, the electronic device 130 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 136. As shown, network adapter 136 communicates with other modules for electronic device 130 over bus 133. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with electronic device 130, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
In an exemplary embodiment, there is also provided a storage medium in which a computer program is stored, the computer program being executable by a processor of an electronic device to perform the above-mentioned order processing method. Alternatively, the storage medium may be a non-transitory computer readable storage medium, which may be, for example, a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
In an exemplary embodiment, an electronic device of the present application may include at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores a computer program executable by the at least one processor, and the computer program, when executed by the at least one processor, causes the at least one processor to perform the steps of any of the order processing methods provided by the embodiments of the present application.
In an exemplary embodiment, a computer program product is also provided, which, when executed by an electronic device, enables the electronic device to implement any of the exemplary methods provided herein.
Also, a computer program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable Disk, a hard Disk, a RAM, a ROM, an Erasable Programmable Read-Only Memory (EPROM), a flash Memory, an optical fiber, a Compact Disk Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The program product for order processing in the embodiments of the present application may be a CD-ROM and include program code and may be run on a computing device. However, the program product of the present application is not so limited, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, radio Frequency (RF), etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In situations involving remote computing devices, the remote computing devices may be connected to the user computing device over any kind of Network, such as a Local Area Network (LAN) or Wide Area Network (WAN), or may be connected to external computing devices (e.g., over the internet using an internet service provider).
It should be noted that although in the above detailed description several units or sub-units of the apparatus are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functions of two or more units described above may be embodied in one unit, according to embodiments of the application. Conversely, the features and functions of one unit described above may be further divided into embodiments by a plurality of units.
Further, while the operations of the methods of the present application are depicted in the drawings in a particular order, this does not require or imply that these operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. An order processing method, comprising:
acquiring supply and demand relation representation information between capacity and orders in a specified area of a current period;
determining a supply-demand relation between the transport capacity and the order in the designated area based on the supply-demand relation representation information;
determining a target order dispatching time interval of orders in an order pool based on an interval control strategy corresponding to the supply and demand relation;
and dispatching orders in the order pool according to the target order dispatching time interval.
2. The method of claim 1, wherein the supply and demand relationship characterization information includes a quantity of orders placed and a quantity of orders picked up, and determining a supply and demand relationship between capacity and orders within the designated area based on the supply and demand relationship characterization information includes:
determining the percentage of the picked order quantity in the order placing quantity as an order pickup rate;
if the order pick-up rate is larger than or equal to an upper limit threshold value, determining that the supply-demand relation is that the capacity supply is larger than the order demand;
if the order pick-up rate is smaller than or equal to a lower limit threshold, determining that the supply-demand relation is that the capacity supply is smaller than the order demand;
and if the order pick-up rate is greater than the lower threshold and less than the upper threshold, determining that the supply-demand relationship is that the capacity supply is equal to the order demand.
3. The method of claim 2, wherein determining a target order dispatch time interval for an order in an order pool based on an interval control policy corresponding to the supply-demand relationship comprises:
if the supply and demand relation is that the transport capacity supply is larger than the order demand, determining the target order dispatching time interval according to a rule of reducing the set order dispatching time interval;
if the supply and demand relation is that the transport capacity supply is smaller than the order demand, determining the target order dispatching time interval according to a rule of increasing and setting the order dispatching time interval;
and if the supply-demand relation is that the transport capacity supply is equal to the order demand, determining the set order sending time interval as the target order sending time interval.
4. The method of claim 3, wherein determining the target dispatch interval as a rule of decreasing the set dispatch interval comprises:
determining a first difference between the upper threshold and the order acceptance rate;
and reducing the set order dispatching time interval according to a rule that the first difference is negatively correlated with the reduction amplitude to obtain the target order dispatching time interval.
5. The method of claim 3, wherein determining the target dispatch interval according to a rule of increasing a set dispatch interval comprises:
determining a second difference between the lower threshold and the order pickup rate;
and increasing the set order dispatching time interval according to the rule that the second difference is positively correlated with the increase amplitude to obtain the target order dispatching time interval.
6. The method of any of claims 1-5, wherein dispatching orders in the order pool according to the target dispatch time interval comprises:
matching orders in the order pool with order receiving ends capable of receiving orders according to matching strategies corresponding to the supply and demand relations at intervals of the target order sending time;
and dispatching each order in the order pool to a corresponding order receiving end based on a matching result.
7. The method of claim 6, wherein matching orders in the order pool with order receiving ends that can receive orders according to a matching strategy corresponding to the supply-demand relationship comprises:
if the supply and demand relation is that the transport capacity supply is larger than the order demand, matching the orders in the order pool with the order receiving ends capable of receiving orders according to the rule that the order receiving distance is smaller than a first preset value and the service quality of the order receiving ends exceeds the set quality;
if the supply and demand relation is that the transport capacity supply is smaller than the order demand, matching order receiving ends capable of receiving orders for the orders in the order pool in sequence from high order to low order;
and if the supply and demand relation is that the capacity supply is equal to the order demand, matching the orders in the order pool with the order receiving ends capable of receiving orders according to the rule that the order grade is from high to low and the order receiving distance is smaller than a second preset value, wherein the second preset value is larger than the first preset value.
8. An order processing apparatus, comprising:
the acquisition module is used for acquiring supply and demand relation representation information between the transport capacity and the order in the current period designated area;
the supply and demand determination module is used for determining the supply and demand relationship between the transport capacity and the orders in the specified area based on the supply and demand relationship representation information;
the interval determining module is used for determining a target order dispatching time interval of the orders in the order pool based on the interval control strategy corresponding to the supply and demand relation;
and the order dispatching module is used for dispatching orders in the order pool according to the target order dispatching time interval.
9. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein:
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
10. A storage medium, characterized in that, when the computer program in the storage medium is executed by a processor of an electronic device, the electronic device is capable of performing the method according to any one of claims 1-7.
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