CN116205704A

CN116205704A - Vendor allocation method, device, terminal equipment and storage medium

Info

Publication number: CN116205704A
Application number: CN202211732566.4A
Authority: CN
Inventors: 成鸿
Original assignee: Hangzhou Mingxin Information Technology Co ltd
Current assignee: Hangzhou Mingxin Information Technology Co ltd
Priority date: 2022-12-30
Filing date: 2022-12-30
Publication date: 2023-06-02

Abstract

The application provides a vendor allocation method, a vendor allocation device, terminal equipment and a storage medium, and relates to the technical field of data processing. The method comprises the following steps: acquiring a purchase demand order sent by a terminal device, identifying the order type of the purchase demand order and purchase information in the purchase demand order, wherein the purchase information at least comprises the name and the purchase quantity of a target fresh commodity; when the order type is a normal order type and the preset warehouse does not have the stock of the target fresh goods, acquiring a quoted supplier list corresponding to the target fresh goods according to the names of the target fresh goods; when the quoted suppliers exist in the quoted supplier list, sequencing all the quoted suppliers in the quoted supplier list according to a preset index to obtain sequencing results; and determining a target supplier for providing the target fresh commodity from the sorting result according to the purchase quantity. The method and the device improve the distribution accuracy while improving the distribution efficiency.

Description

Vendor allocation method, device, terminal equipment and storage medium

Technical Field

The present disclosure relates to the field of data processing technologies, and in particular, to a vendor allocation method, a vendor allocation device, a terminal device, and a storage medium.

Background

At present, along with the rapid growth of service contents in the service provider operation field, reasonable distribution of suppliers becomes an essential means for the modern electronic commerce industry.

The supplier allocation method mainly allocates suppliers which can be used for providing a fresh commodity according to the purchasing demand of customers for the fresh commodity. However, there is currently no unified supply distribution system in the fresh industry, and common supplier distribution methods typically calculate the distribution ratio of suppliers manually by purchasing distribution personnel.

The mode leads to stronger human subjective intervention, and the mode of adopting the human distribution provider often needs a large amount of manual participation, and the distribution efficiency is not high, and in addition, the problem that the distribution rationalization degree is low and the distribution accuracy is poor because of probability problem exists in the proportion random distribution mode.

Disclosure of Invention

The application provides a vendor allocation method, a vendor allocation device, electronic equipment and a storage medium, which are used for solving the problems of low allocation efficiency and poor allocation accuracy in the prior art.

According to a first aspect of the present application, there is provided a vendor allocation method, comprising:

acquiring a purchase demand order sent by a terminal device, and identifying the order type of the purchase demand order and purchase information in the purchase demand order, wherein the purchase information at least comprises the name and the purchase quantity of a target fresh commodity;

When the order type is a normal order type and the preset warehouse does not have the stock of the target fresh goods, acquiring a quoted supplier list corresponding to the target fresh goods according to the names of the target fresh goods;

when the quoted suppliers exist in the quoted supplier list, sequencing all the quoted suppliers in the quoted supplier list according to a preset index to obtain sequencing results;

and determining a target supplier for providing the target fresh commodity from the sorting result according to the purchase quantity.

Optionally, the sorting all the offered suppliers in the offered supplier list according to a preset index to obtain a sorting result, including:

respectively carrying out scoring prediction processing on all the offered suppliers in the offered supplier list aiming at each preset index to obtain scores of all the offered suppliers on the preset indexes; wherein the preset indicators include at least one of a supply quantity, a supply price, a supply quality, a supply age, and a supply configuration;

acquiring weight values corresponding to the preset indexes, and obtaining the total score of each offered provider according to the weight values corresponding to the preset indexes and the scores of each offered provider on all the preset indexes;

And sorting each offered provider in the offered provider list according to the total score to obtain a sorting result.

Optionally, the determining, according to the purchase quantity, a target provider for providing the target fresh commodity from the sorting result includes:

selecting the offered suppliers in the non-cut-off state in the sorting result as alternative suppliers, and reserving the sorting order to obtain an alternative supplier set;

sequentially judging whether the current day upper limit of the supply of each alternative supplier in the alternative supplier set is smaller than the purchase quantity;

determining an alternative supplier with the upper limit of the supply of the first day in the alternative supplier set being greater than or equal to the purchase quantity as the target supplier; or when the current day upper limit of the supply of all the alternative suppliers in the alternative supplier set is smaller than the purchase quantity, selecting a plurality of alternative suppliers with the total current day upper limit being larger than or equal to the purchase quantity as the target suppliers by adopting a preset combined supply mode.

Optionally, when the order type is a normal order type, the method further includes:

Judging whether the purchasing information contains a designated supplier of the target fresh commodity or not;

if so, the designated vendor is determined to be the target vendor.

Optionally, the method further comprises:

if not, determining whether the target fresh commodity is in the preset warehouse;

when the target fresh commodity is stored in the preset warehouse and the stock quantity is smaller than the purchase quantity, calculating a difference value between the purchase quantity and the stock quantity, and determining the difference value as an unsatisfied purchase quantity;

and determining a target supplier for providing the target fresh commodity from the sorting result according to the unsatisfied purchase quantity.

Optionally, the method further comprises:

acquiring an order confirmation result which is sent by a terminal device and corresponds to the purchase demand order of the normal order type;

when the order confirmation result is that the actual receiving information is inconsistent with the purchasing information, checking the actual receiving information and the purchasing information to obtain a checking result;

and sending the checking result to the terminal equipment so that the terminal equipment generates and submits another purchase demand order of the replenishment order type.

Optionally, the method further comprises:

and when the order type is the replenishment order type, carrying out supplier allocation according to a preset replenishment flow.

According to a second aspect of the present application, there is provided a vendor dispensing apparatus comprising:

the acquisition and identification module is used for acquiring a purchase demand order sent by the terminal equipment, identifying the order type of the purchase demand order and purchase information in the purchase demand order, wherein the purchase information at least comprises the name and the purchase quantity of a target fresh commodity;

the acquisition module is used for acquiring a quoted supplier list corresponding to the target fresh commodity according to the name of the target fresh commodity when the order type is a normal order type;

the ordering module is used for ordering all the offered suppliers in the offered supplier list according to a preset index when the offered suppliers exist in the offered supplier list, so as to obtain an ordering result;

and the determining module is used for determining a target supplier for providing the target fresh commodity from the sorting result according to the purchase quantity.

According to a third aspect of the present application, there is provided a terminal device comprising: at least one processor and memory;

The memory stores computer-executable instructions;

the at least one processor executes the computer-executable instructions stored by the memory to cause the at least one processor to perform the vendor allocation method as described in the first aspect above.

According to a fourth aspect of the present application, there is provided a computer readable storage medium having stored therein computer executable instructions for implementing the vendor allocation method according to the first aspect as described above when executed by a processor.

According to a fifth aspect of the present application, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the vendor allocation method of the first aspect.

The provider allocation method provided by the application comprises the following steps: acquiring a purchase demand order sent by a terminal device, identifying the order type of the purchase demand order and purchase information in the purchase demand order, wherein the purchase information at least comprises the name and the purchase quantity of a target fresh commodity; when the order type is a normal order type and the preset warehouse does not have the stock of the target fresh goods, acquiring a quoted supplier list corresponding to the target fresh goods according to the names of the target fresh goods; when the quoted suppliers exist in the quoted supplier list, sequencing all the quoted suppliers in the quoted supplier list according to a preset index to obtain sequencing results; and determining a target supplier for providing the target fresh commodity from the sorting result according to the purchase quantity.

According to the method and the device, aiming at the target fresh goods, the sorting of all the offered suppliers in the offered supplier list can be automatically realized according to the preset index, so that the target suppliers for providing the target fresh goods can be automatically determined, the artificial participation is not needed, and the distribution efficiency is improved. Since the top ranked offered suppliers are more likely to become target suppliers for providing the target fresh goods, the distribution accuracy is improved while the distribution efficiency is improved by prioritizing the top ranked offered suppliers as target suppliers.

It should be understood that the description of this section is not intended to identify key or critical features of the embodiments of the application or to delineate the scope of the application. Other features of the present application will become apparent from the description that follows.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.

Fig. 1 is a flow chart of a vendor allocation method according to an embodiment of the present application;

FIG. 2 is a schematic flow chart of S103 in FIG. 1;

FIG. 3 is a schematic flow chart of S104 in FIG. 1;

FIG. 4 is a flowchart of another vendor allocation method according to an embodiment of the present disclosure;

FIG. 5 is a schematic diagram of a vendor dispensing apparatus according to an embodiment of the present disclosure;

fig. 6 is a schematic structural diagram of a terminal device according to an embodiment of the present application.

Specific embodiments thereof have been shown by way of example in the drawings and will herein be described in more detail. These drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments.

Detailed Description

Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application.

There is no unified supply distribution system in the fresh industry at present, and a common supplier distribution method is to manually calculate the distribution proportion of suppliers through purchasing distribution personnel.

In order to solve the above technical problems, the general inventive concept of the present application is to provide a method for improving allocation accuracy while improving allocation efficiency, which is applied to the field of data processing.

The following describes the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.

Example 1:

fig. 1 is a flow chart of a vendor allocation method according to an embodiment of the present application. As shown in fig. 1, the method of the present embodiment includes the following steps S101 to S104, in which:

s101: and acquiring a purchase demand order sent by the terminal equipment, identifying the order type of the purchase demand order and purchase information in the purchase demand order, wherein the purchase information at least comprises the name and the purchase quantity of the target fresh commodity.

It should be understood that the terminal device may be a smart device such as a mobile phone, tablet, computer, etc. The order can be ordered by the customer, or the purchasing and distributing personnel can carry out the order for the customer after carrying out the line down docking with the customer. The target fresh goods or goods can be apples, watermelons, shrimps, crabs and other products. The purchase amount of the target fresh commodity can be set according to different product types, for example: the apples are counted according to the weight of the apples, and the crabs are counted according to the number of the apples.

The number of the target fresh goods in the purchase information can be one or more, and the embodiment of the application does not specifically limit the number of the target fresh goods. For example, there are three types of mango, litchi and shrimp in the purchase demand order corresponding to the customer a, and one type of apple in the purchase demand order corresponding to the customer B.

In the embodiment of the application, when the following steps are executed, the target supplier of the target fresh goods is determined by taking each target fresh goods as a unit, for example: there are 10 suppliers, the target supplier is the first one for mango in customer a's purchase demand order; aiming at litchi in the purchase demand order of the client A, the target suppliers are a third supplier and a fifth supplier; for litchi in customer C's purchase demand order, the target supplier is the ninth supplier.

S102: and when the order type is a normal order type and the preset warehouse does not have the stock of the target fresh goods, acquiring a quoted supplier list corresponding to the target fresh goods according to the names of the target fresh goods.

It should be appreciated that the order type may be represented by different fields, such as: 1 indicates a normal order type, and 2 indicates a restocking order type. A normal order type purchase demand order, or referred to as a generic order, a replenishment order type purchase demand order, or referred to as a live purchase order.

When the order type is the normal order type, presetting the stock of the target fresh goods in the warehouse, and when the stock is more than or equal to the purchase quantity, directly taking the goods from the stock without the allocation of suppliers. When the order type is a normal order type, the warehouse is preset to store the target fresh goods, and the stock quantity is smaller than the purchase quantity, the following steps S108 to S109 are executed, and the details are not repeated here. When the order type is the replenishment order type, the following step S113 is executed.

In the embodiment of the present application, the preset warehouse is a warehouse of distribution points. Different target fresh goods correspond to different lists of offered suppliers.

S103: and when the quoted suppliers exist in the quoted supplier list, sequencing all the quoted suppliers in the quoted supplier list according to a preset index to obtain a sequencing result.

In an embodiment of the present application, the preset indicators include at least one of a supply quantity, a supply price, a supply quality, a supply age, and a supply configuration. The supplier supply capability is embodied in the number of suppliers (i.e., the maximum amount of the target fresh goods supplied by the suppliers). The larger the maximum amount of the target fresh commodity is supplied, the better the supply quantity index is. Similarly, the lower the supply price of the target fresh commodity, the better the supply price index of the supplier. The higher the customer satisfaction score of the target fresh commodity is, the better the quality index is supplied. The earlier and faster the delivery time of the target fresh commodity is supplied, the better the supply aging index is. The supply configuration is an allocation rule of background configuration, namely, the configuration of one weight of a manually defined provider on a certain target fresh commodity, the same provider can set different weights for different target fresh commodities, and the higher the configuration weight is, the better the supply configuration index is.

S104: and determining a target supplier for providing the target fresh commodity from the sorting result according to the purchase quantity.

According to the method and the device for ordering the target suppliers, the number of the target suppliers can be preset, when the number of the target suppliers is one, the first candidate supplier which is in the non-order cutting state in the ordering result and has the upper limit of the current supply of which is greater than or equal to the purchasing quantity can be determined to be the target supplier.

When there are multiple target suppliers, a mode of combining multiple target suppliers may be considered to implement a supplier allocation policy, for example, customer a orders 100 jin apples, 4 suppliers exist in the sorting result, suppliers 1, 3 and 4 are in a non-cut state, supplier 2 is in a cut state, the upper limit of the supply on the same day of supplier 1 is 50 jin, the upper limit of the supply on the same day of supplier 2 is 30 jin, the upper limit of the supply on the same day of supplier 3 is 10 jin, and the upper limit of the supply on the same day of supplier 4 is 50 jin.

Since the supplier 2 in the cut-off state is in the non-business state and cannot supply the product, the embodiment of the present application preferably gives priority to the supplier 1 delivering 50 jin of apples to the delivery point, the supplier 3 delivering 10 jin of apples and the supplier 4 delivering 40 jin of apples.

According to the method and the device, aiming at the target fresh goods, sorting of all the offered suppliers in the offered supplier list can be automatically achieved according to the preset indexes, and further the target suppliers for providing the target fresh goods are automatically determined, manual participation is not needed, and distribution efficiency is improved. Since the top ranked offered suppliers are more likely to become target suppliers for providing the target fresh goods, the distribution accuracy is improved while the distribution efficiency is improved by prioritizing the top ranked offered suppliers as target suppliers.

In a possible implementation manner, when the order type is a normal order type, the vendor allocation method further includes the following steps S105 to S106, wherein:

s105: and judging whether the appointed supplier of the target fresh commodity exists in the purchase information.

In the embodiment of the application, the same customer can provide different designated suppliers for different target fresh commodities, for example, the customer a designates an apple provided by a delivery point to its delivery supplier 1 and designates a watermelon provided by a delivery point to its delivery supplier 2.

In addition, each customer may make a different vendor designation for the same target fresh commodity, e.g., customer a designates an apple that the delivery point provides to its delivery vendor 1, and customer B designates an apple that the delivery point provides to its delivery vendor 2.

S106: if so, the designated vendor is determined to be the target vendor.

Here, the supply maximum amount on the day of the default designation provider is equal to or larger than the purchase amount. If there is a supply of a specified provider for which the current day maximum amount is less than the purchase amount, then a modify order operation is performed by the customer.

According to the method and the device for providing the fresh goods, custom of the customer is considered, the appointed suppliers are allocated, the target fresh goods are provided for the customer, and the user satisfaction can be improved. In addition, the embodiment of the application can ensure that the supplier allocation method can be well applied in the appointed scene, and ensure that the supplier allocation method is not limited by the scene, and has applicability, comprehensiveness and integrity.

In a possible implementation manner, the vendor allocation method further includes the following steps S107 to S109, wherein:

s107: if not, determining whether the target fresh commodity is in the preset warehouse.

For a target fresh commodity, inventory in stock is used to make a deduction when the customer does not specify a supplier.

S108: when the stock of the target fresh commodity exists in the preset warehouse and the stock quantity is smaller than the purchase quantity, calculating the difference between the purchase quantity and the stock quantity, and determining the difference as the unsatisfied purchase quantity.

For example, the stock quantity of the watermelon is 90 jin, the purchase quantity of the customer A is 100 jin, and the difference is 10 jin, so that only 10 jin of watermelon is provided by the target provider by using the provider distribution method provided by the embodiment of the application.

S109: and determining a target supplier for providing the target fresh commodity from the sorting result according to the unsatisfied purchase quantity.

This flow is similar to the steps S1041 to S1043 in the following embodiment 3, and will not be described here.

The embodiment of the application can ensure that the supplier distribution method can be well applied in the scene with stock, and ensure that the supplier distribution method is not limited by the scene, and has applicability, comprehensiveness and integrity.

In a possible implementation manner, the vendor allocation method further includes the following steps S110 to S112, wherein:

s110: and acquiring an order confirmation result which is sent by the terminal equipment and corresponds to the purchase demand order of the normal order type.

S111: when the order confirmation result is that the actual receiving information is inconsistent with the purchasing information, the actual receiving information and the purchasing information are checked, and a checking result is obtained.

S112: and sending the checking result to the terminal equipment so that the terminal equipment generates and submits another purchase demand order of the replenishment order type.

The target fresh goods can be delivered in a direct delivery mode and a non-direct delivery mode, and the flow is different, for example: the warehouse is far away from the supplier, but when the supplier is close to the client, the supplier can send the order to the client in a direct-feeding mode, and the client has a receiving process, namely the order confirmation result of the client is obtained. For example: the actual receiving information is that a certain supplier distributes 98 jin of fishes to clients, and the purchasing information is that the fishes are 100 jin.

In this embodiment, the customer submits the purchase demand order on the first day, and each provider distributes the corresponding target fresh goods to the distribution point in the preset time period, and the distribution point distributes the target fresh goods for the customer on the second day, the third day, or the time designated by the customer. Or, a certain target fresh commodity is directly delivered by the supplier, and a certain target fresh commodity is delivered by the delivery point.

After distribution is completed, the actual receiving information is inconsistent with the purchasing information recorded by the system, and in the case, the embodiment of the application provides the supplementary service for the customer to ensure the consistency of the information.

In a possible implementation manner, the vendor allocation method further includes the following step S113, where:

s113: and when the order type is the replenishment order type, carrying out supplier allocation according to a preset replenishment flow.

The preset repair flows Cheng Jianxia in the embodiment of the present application are S18 to S21, which are not described herein again. The embodiment of the application provides the supplementary note service for the clients and is used for guaranteeing the consistency of information.

Optionally, embodiments of the present application provide a vendor assignment system that can identify customer order submitting operations, order modifying operations, and order canceling operations. When any order operation exists, the system can dynamically add, modify or cancel the supplier allocation scheme corresponding to the order.

In addition, the supplier distribution system can carry out login verification through account numbers and passwords on the supplier side, the distributor side and the client side, and each operation is carried out in the authority according to the authority of the supplier distribution system after successful login.

It should be appreciated that there are situations where the supplier has already sent the goods to the warehouse before the customer cancels the order, and the current prior art has complicated the process of receiving the goods or executing the supplier return flow according to the goods situation after this happens. The embodiment can monitor the cancelling operation of the customer in time, even if the goods are sent to the warehouse, the goods do not need to be returned to the supplier, but the goods are temporarily stored at the distribution point, so that the supply quantity of the supplier is reduced when the distribution point and the supplier conduct the next transaction.

For example, the client a orders 50 jin of apples, and after the supplier distributes 50 jin of apples to the distribution point, the client cancels the order, so in order to prevent quality loss of apples in the transportation process, the embodiment directly places apples at the distribution point, the client B orders 60 jin of apples, and in the condition that the supplier is selected as the target supplier again, the supplier only needs to provide 10 jin of apples, so that the fresh-keeping rate and quality of the target fresh commodity are improved.

Based on the above embodiments, the technical solutions of the present application will be described in more detail below in conjunction with several specific embodiments.

Example 2:

fig. 2 is a schematic flow chart of S103 in fig. 1. On the basis of the embodiment shown in fig. 1, this embodiment focuses on refinement of S103 in fig. 1. As shown in fig. 2, S103: when the quoted suppliers exist in the quoted supplier list, sequencing all the quoted suppliers in the quoted supplier list according to a preset index to obtain a sequencing result, wherein the sequencing result comprises the following steps of:

S1031: and respectively carrying out scoring prediction processing on all the offered suppliers in the offered supplier list aiming at each preset index to obtain the scores of all the offered suppliers on the preset indexes. Wherein the preset indicators include at least one of a supply quantity, a supply price, a supply quality, a supply age, and a supply configuration.

Aiming at each preset index, the embodiment can adopt a pre-trained deep learning network to carry out scoring prediction processing.

For example, the present embodiment sets a first deep learning network for an index of the supply quantity; for the index of the supply price, the present embodiment sets a second deep learning network; for the index of the supply quality, the present embodiment sets a third deep learning network; aiming at indexes of supply failure, the embodiment sets a fourth deep learning network; for the index of the supply configuration, the present embodiment sets a fifth deep learning network. Before application, the embodiment may perform model training for each deep learning network, and the embodiment is not particularly limited to the model training process.

S1032: and obtaining the weight value corresponding to each preset index, and obtaining the total score of each offered provider according to the weight value corresponding to each preset index and the score of each offered provider on all preset indexes.

It should be understood that the weight value corresponding to each preset index may be configured according to the actual situation. The total score is the accumulated processing of the scores of the offered suppliers over all preset indicators. The introduction of the weight can be used for configuring different weight values of each preset index aiming at different clients, and the weight values are consistent with the preference of the clients.

S1033: and sorting each offered provider in the offered provider list according to the total score to obtain a sorting result.

By executing S1031 to S1033, the present embodiment can achieve accurate sorting of each offered provider, thereby ensuring the distribution accuracy of the target provider.

Example 3:

fig. 3 is a schematic flow chart of S104 in fig. 1. On the basis of the embodiment shown in fig. 1, this embodiment focuses on refining S104 in fig. 1. As shown in fig. 3, S104: determining a target supplier for providing target fresh goods from the sorting result according to the purchase quantity, wherein the method comprises the following steps S1041-S1043, wherein:

s1041: and selecting the offered suppliers in the non-cut-off state in the sorting result as alternative suppliers, and reserving the sorting order to obtain an alternative supplier set.

For example, for watermelons, if there are 5 quoted suppliers in the sorting result, the suppliers 1, 4 and 5 are all in the cut-off state, and the suppliers 2 and 3 are in the cut-off state, the suppliers 1, 4 and 5 are used as alternative suppliers, and an alternative supplier set is obtained according to the order of 1, 4 and 5.

S1042: it is determined whether an upper daily supply limit for each of the set of alternative suppliers is less than a purchase amount.

S1043: determining an alternative supplier with the upper limit of the supply of the first day in the alternative supplier set being greater than or equal to the purchasing quantity as a target supplier; or when the current day upper limit of the supply of all the alternative suppliers in the alternative supplier set is smaller than the purchase quantity, adopting a preset combined supply mode to select a plurality of alternative suppliers with the total current day upper limit being larger than or equal to the purchase quantity as target suppliers.

For watermelon, the alternative supplier set includes suppliers 1, 4 and 5, firstly, judging whether the current day upper supply limit of the supplier 1 is less than 50 jin of purchasing value, if the current day upper supply limit of the supplier 1 is 60 jin, the supplier 1 is directly determined as the target supplier. If the upper limit of the supply of supplier 1 on the day is 20 jin, the upper limit of the supply of supplier 4 on the day is 40 jin, and the upper limit of the supply of supplier 5 on the day is 10 jin, since the purchase amount is 50 jin, the supplier 1 or the supplier 4 is only the target supplier, and the demand cannot be satisfied, so both suppliers 1 and 4 are required to be the target suppliers, and the supplier 1 provides 20 jin of watermelons, and the supplier 4 provides 50-20=30 jin of watermelons.

The method and the device can filter the offered suppliers in the non-business stage from the time dimension, and compared with the sorting result, the suppliers in the alternative supplier set have the availability, so that support is provided for the follow-up accurate selection of the target suppliers.

Example 4:

fig. 4 is a flow chart of another vendor allocation method according to an embodiment of the present application. As shown in fig. 4, the vendor allocation method includes the following steps S1 to S21, in which:

s1: an order is acquired. I.e., submit an order, which is an abbreviation for purchase demand order.

It should be understood that the specific implementation of S1 is similar to S101 in fig. 1, and will not be described here.

S2: the type of the order is identified as a generic order.

S3: it is determined whether the vendor is designated. When the specification is performed, S6 is executed, and when the specification is not performed, S4 is executed.

For each target fresh commodity, a supplier allocation process is required to be executed once starting from S3.

S4: inventory deduction is performed when the customer does not make a vendor designation for the target fresh commodity.

S5: if the stock is insufficient, the steps S7 to S17 are executed, and if the stock is sufficient, the step S16 is executed.

S6: the allocation is made according to the designated vendor.

S7: a list of offered suppliers is obtained.

S8: it is determined whether there are already offered suppliers.

S9: the offered suppliers are comprehensively ranked according to the indexes.

S10: it is determined whether the offered provider has cut a bill. If yes, S11 is executed, and if no, S12 is executed.

S11: from the ranking result, the next offered provider is obtained.

S12: it is determined whether the order quantity exceeds the current day upper supply limit of the offered suppliers. If yes, directing to S11; if not, S13 is performed.

S13: it is determined whether the acquisition of the provider was successful. If yes, S16 is executed, and if no, S15 is executed.

S14: and when the offered suppliers do not exist, determining an unassigned state, and waiting for manual assignment.

S15: manual assignment is performed.

S16: determining that the order allocation is complete.

S17: after order allocation is completed, the next day timed task generates a purchase order. The purchase order generated in S17 is a transaction voucher between the delivery point and the supplier.

The next day timing task may refer to: and sending the target fresh commodity to the client in a fixed time period.

S18: the type of the order is identified as a field purchase order.

S19: and carrying out distribution processing according to the suppliers in the bill.

S20: and (5) completing the distribution of the on-site purchase orders.

S21: and directly generating the purchase order. The purchase order generated in S21 is a transaction voucher between the delivery point and the supplier.

That is, from the start of order submission, the present embodiment first distinguishes the order type, and if the order is purchased in the field, it indicates that the customer has selected the provider, and no allocation logic is provided to directly determine that the order allocation is completed. If the order is a common order, determining whether a specific supplier is set for a certain commodity (the short for the target fresh commodity) according to the individual setting of the customer, and directly distributing the commodity with the specific supplier. If the suppliers are not specified, judging whether the warehouse is in stock, if so, performing stock deduction, if not, executing a normal allocation strategy, and if the deduction is completed, executing the normal allocation strategy.

The content of the normal allocation policy is as follows: and firstly acquiring a quoted supplier list, and if no quoted suppliers exist, setting the suppliers in an unassigned state, and waiting for manual assignment. If the quoted suppliers exist, the quoted suppliers are allocated according to comprehensive ranks of indexes such as supply capacity, supply price, quality of supplied commodities, supply aging, allocation rules configured in the background and the like of the suppliers, whether the suppliers cut orders on the same day can be judged first during allocation, if the suppliers cut orders, the next suppliers are acquired, if the suppliers do not cut orders, whether the amount of the orders (namely the purchasing amount) exceeds the upper limit of the suppliers on the same day is judged, if the amount of the orders does not exceed the upper limit of the suppliers on the same day, order allocation is completed, otherwise, the next suppliers are continuously acquired until the next suppliers are not acquired, and manual allocation logic is carried out. And generating a purchasing bill of the supplier at the day-cut time of the second day according to the order of the distribution completion.

By executing S1-S21, the supplier allocation method provided by the embodiment of the application can be applied to various scenes to solve the probability problem of random allocation according to the proportion in the prior art, the situation that purchasing allocation personnel privately give more suppliers with good relation to allocate orders in actual production and life is avoided, the human subjective intervention is avoided as much as possible, the operation time of manual allocation of the purchasing allocation personnel each time is reduced, and the labor cost is saved.

Example 5:

fig. 5 is a schematic structural diagram of a vendor dispensing apparatus according to an embodiment of the present application. The apparatus of this embodiment may be in the form of software and/or hardware. As shown in fig. 5, the vendor allocation device provided in this embodiment includes: an acquisition identification module 51, an acquisition module 52, a ranking module 53 and a determination module 54. Wherein:

the acquiring identifying module 51 is configured to acquire a purchase demand order sent by the terminal device, and identify an order type of the purchase demand order, and purchase information in the purchase demand order, where the purchase information includes at least a name and a purchase amount of the target fresh commodity.

And the obtaining module 52 is configured to obtain a list of offered suppliers corresponding to the target fresh commodity according to the name of the target fresh commodity when the order type is the normal order type.

The sorting module 53 is configured to sort all the offered suppliers in the offered supplier list according to a preset index when the offered suppliers exist in the offered supplier list, so as to obtain a sorting result.

And the determining module 54 is used for determining a target supplier for providing the target fresh goods from the sorting result according to the purchase quantity.

In a possible implementation, the sorting module 53 is further configured to:

and respectively carrying out scoring prediction processing on all the offered suppliers in the offered supplier list aiming at each preset index to obtain the scores of all the offered suppliers on the preset indexes. Wherein the preset indicators include at least one of a supply quantity, a supply price, a supply quality, a supply age, and a supply configuration.

And obtaining the weight value corresponding to each preset index, and obtaining the total score of each offered provider according to the weight value corresponding to each preset index and the score of each offered provider on all preset indexes.

In a possible implementation, the determining module 54 is further configured to:

And selecting the offered suppliers in the non-cut-off state in the sorting result as alternative suppliers, and reserving the sorting order to obtain an alternative supplier set.

It is determined whether an upper daily supply limit for each of the set of alternative suppliers is less than a purchase amount.

And determining the candidate suppliers with the upper limit of the supply of the first day in the candidate supplier set being greater than or equal to the purchasing quantity as target suppliers. Or when the current day upper limit of the supply of all the alternative suppliers in the alternative supplier set is smaller than the purchase quantity, adopting a preset combined supply mode to select a plurality of alternative suppliers with the total current day upper limit being larger than or equal to the purchase quantity as target suppliers.

In a possible implementation, when the order type is a normal order type, the vendor allocation device is further configured to:

and judging whether the appointed supplier of the target fresh commodity exists in the purchase information.

If so, the designated vendor is determined to be the target vendor.

In a possible implementation, the vendor allocation device is further configured to:

if not, determining whether the target fresh commodity is in the preset warehouse.

When the stock of the target fresh commodity exists in the preset warehouse and the stock quantity is smaller than the purchase quantity, calculating the difference between the purchase quantity and the stock quantity, and determining the difference as the unsatisfied purchase quantity.

and acquiring an order acknowledgement result 0 which is sent by the terminal equipment and corresponds to the purchase demand order of the normal order type.

When the order confirmation result is that the actual receiving information is inconsistent with the purchasing information, the actual receiving information and the purchasing information are checked, and a checking result is obtained.

5 in one possible implementation, the vendor allocation device is further configured to:

The vendor allocation device provided in this embodiment may be used to execute the vendor allocation method provided in any of the above method embodiments, and its implementation principle and technical effects are similar, and will not be described herein.

It should be noted that the user information and data (including but not limited to 0 data for analysis, stored data, presented data, etc.) referred to in this application are both authorized or passed by the user

Information and data fully authorized by each party, and the collection, use and processing of relevant data requires compliance with relevant laws and regulations and standards of relevant countries and regions, and is provided with corresponding operation portals for users to choose authorization or denial.

That is, in the technical solution of the present application, the processes of collecting, storing, 5 using, processing, transmitting, providing, and disclosing the related personal information of the user all conform to the regulations of the related laws and regulations and do not

Against the popular public order.

According to an embodiment of the present application, there is also provided a terminal device and a readable storage medium.

Fig. 6 is a schematic structural diagram of a terminal device according to an embodiment of the present application. The terminal device 0 comprises a receiver 60, a transmitter 61, at least one processor 62 and a memory 63, and the terminal device formed by the above components may be used to implement the above specific embodiments of the present application, which are not described here again.

The embodiment of the application further provides a computer readable storage medium, in which computer executable instructions are stored, and when the processor executes the computer executable instructions, the steps of the method in the above embodiment are implemented.

Embodiments of the present application also provide a computer program product comprising a computer program which, when executed by a processor, implements the steps of the method of the above embodiments.

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for carrying out methods of the present application may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or terminal device.

In the context of this application, a computer-readable storage medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may be a machine readable signal medium or a machine readable storage medium. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a computer-readable storage medium would include one or more wire-based electrical connections, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data terminal device), or that includes a middleware component (e.g., an application terminal device), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the disclosure of the present application may be performed in parallel, sequentially, or in a different order, provided that the desired results of the technical solutions disclosed in the present application are achieved, and are not limited herein.

The above embodiments do not limit the scope of the application. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present application are intended to be included within the scope of the present application.

Claims

1. A vendor allocation method, comprising:

2. The method of claim 1, wherein the ranking all the offered suppliers in the offered supplier list according to a predetermined index to obtain a ranking result comprises:

3. The method of claim 1, wherein the determining a target provider for providing the target fresh commodity from the ranking result according to the purchase amount comprises:

4. The method of claim 1, wherein when the order type is a normal order type, further comprising:

if so, the designated vendor is determined to be the target vendor.

5. The method as recited in claim 4, further comprising:

6. The method as recited in claim 1, further comprising:

7. The method as recited in claim 1, further comprising:

8. A vendor dispensing apparatus, comprising:

9. A terminal device, comprising: at least one processor and memory;

the memory stores computer-executable instructions;

the at least one processor executing computer-executable instructions stored in the memory causes the at least one processor to perform the vendor allocation method of any one of claims 1 to 7.

10. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are for implementing the vendor allocation method of any one of claims 1 to 7.