CN110827102A - Method and device for adjusting goods price ratio - Google Patents
Method and device for adjusting goods price ratio Download PDFInfo
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- CN110827102A CN110827102A CN201810891299.2A CN201810891299A CN110827102A CN 110827102 A CN110827102 A CN 110827102A CN 201810891299 A CN201810891299 A CN 201810891299A CN 110827102 A CN110827102 A CN 110827102A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
Abstract
The invention discloses a method and a device for adjusting goods price, and relates to the technical field of electronic commerce. One embodiment of the method comprises: acquiring commodity information of a commodity in an order and determining supply information corresponding to the commodity in a supplier; and determining the supply value of the supplier for the commodity according to a preset linear programming model, the commodity information and the supply information. The embodiment reduces the calculation amount of the price comparison of the supplier, reduces the manual participation amount, and greatly improves the recommendation accuracy of the supplier.
Description
Technical Field
The invention relates to the field of electronic commerce, in particular to a method and a device for adjusting goods price.
Background
With the development and popularization of the internet e-commerce industry, the e-commerce business model also shows diversification. The electronic commerce platform for self-operation, no matter in the field of personal consumer goods or in the field of industrial goods, when the types of goods are numerous, if the goods are stored and stocked, the goods are inevitably broken and lack of goods, and how to reasonably stock the goods is a very troublesome problem. If the warehouse stock is not made, how to adjust the stock needs to be considered.
The current adjusting scheme mainly comprises the following steps:
1. manually placing orders for purchasing of an electronic commerce platform, mainly depending on social relation, price, quality and supply period of purchasing and upstream suppliers, and calculating the price by using a calculator;
2. the electronic commerce platform system firstly tears down the order according to the single product, if the requirement of the supplier is met, the electronic commerce platform system succeeds, otherwise, the electronic commerce platform system needs to manually intervene to adjust the torn-down order;
3. listing all combinations through a program, and selecting an optimal scheme;
4. and selecting the upstream supplier with the lowest commodity price through the program, and combining other commodities if the initial price and the like do not meet the requirements.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:
1. in the first scheme, manual intervention is needed, the efficiency is low, and along with the change of the price, when the types of commodities in an order are more, an optimal solution is difficult to find manually;
2. in the second scheme, the limitation is too strong, the larger the commodity type in the order is, the less the probability of obtaining a feasible solution is;
3. in the third scheme, the problem scale growth is an exponential growth problem, namely: the variety of the commodity is increased by 1, and the problem scale is increased by N times; for example: the order contains M kinds of products, N upstream products can be supplied to the M, and M products are availableNA purchasing method, if the commodity type is increased by one, and is N +1, the purchasing method is MN+1Under the condition of limited computing power, one-time adjustment and calculation takes too long;
4. in the fourth scheme, a local optimal solution is often obtained, and a global optimal solution is difficult to obtain due to certain randomness.
Therefore, there is a need for a method and apparatus that optimizes cost, quality, and computational load when adjusting shipments from upstream suppliers.
Disclosure of Invention
In view of the above, embodiments of the present invention provide a method and an apparatus for adjusting a price ratio, which can reduce the amount of calculation while considering cost and quality.
To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided a method for adjusting a price ratio, including:
acquiring commodity information of a commodity in an order and determining supply information corresponding to the commodity in a supplier;
and determining the supply value of the supplier for the commodity according to a preset planning model, the commodity information and the supply information.
Optionally, the linear programming model is:
wherein the content of the first and second substances,
for the supply value, K, of the supplier for the goodsjIs the demand of the jth commodity in the order, PijSupply price, W, for said jth merchandise for ith supplierijQuality factor, x, for said ith supplier for said jth commodityijA purchase factor for said j-th commodity for said i-th supplier, FiLogistics price, y, for the ith supplieriA distribution factor for the ith supplier.
Optionally, the supply information includes a supply price;
the obtaining of the commodity information of the commodity in the order and determining the supply information corresponding to the commodity in the supplier comprise:
and acquiring the commodity demand in the commodity information, and determining the supply price of the supplier for the commodity according to the corresponding relation between the demand threshold and the supply price.
Optionally, the supply information includes a pickup price;
the determining a supply value of the supplier for the commodity according to a predetermined linear programming model, the commodity information and the supply information further comprises: determining a delivery price of the commodity for the supplier according to the determined supply price and the commodity demand; when the delivery price exceeds the pick-up price, determining a supply value of the supplier for the commodity according to a predetermined linear programming model, the commodity information and the supply information.
Optionally, the supply information includes address information of the supplier and a logistics price;
the determining the supply information corresponding to the commodity in the supplier comprises the following steps: and acquiring address information in the commodity information, and determining the logistics price of the supplier for the commodity according to the distance between the address information and the address information of the supplier.
Optionally, the provisioning information includes trust level information of the vendor;
the determining the supply information corresponding to the commodity in the supplier comprises the following steps: and obtaining evaluation feedback information of the commodity, and determining the quality factor of the supplier for the commodity by combining the trust level information.
Optionally, the supply information further includes a commodity stock quantity and/or a pick-up quantity;
before determining the supply value of the supplier for the commodity according to the predetermined linear programming model, the commodity information and the supply information, the method further comprises the following steps: and acquiring the commodity demand in the commodity information, and eliminating suppliers with commodity demand more than the commodity inventory and/or commodity demand less than the delivery amount.
According to another aspect of the embodiments of the present invention, there is provided an apparatus for adjusting a price, comprising:
the information acquisition module is used for acquiring commodity information of commodities in the order and determining supply information corresponding to the commodities in a supplier;
and the supply value determining module is used for determining the supply value of the supplier for the commodity according to a preset planning model, the commodity information and the supply information.
The embodiment of the invention has the following advantages or beneficial effects: the technical problems of large calculation amount and long consumed time are solved by adopting a linear operation mode; the quality of the commodities is quantitatively considered, so that the technical problem that the recommendation result is inaccurate or inappropriate is solved; the established model fully considers the factors of multi-warehouse logistics, order starting price, order starting quantity and the like, and the technical effect of optimizing the quality of the recommendation result is achieved.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is a schematic diagram of a main flow of a method for adjusting a bid price according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of the main modules of an apparatus for adjusting a price ratio according to an embodiment of the present invention;
FIG. 3 is an exemplary system architecture diagram in which embodiments of the present invention may be employed; and
fig. 4 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
It should be noted that the present invention is mainly applicable to e-commerce platforms, especially to the situation that when a user orders and purchases goods, and the e-commerce platform is in a state of goods failure, out of stock or zero stock, the goods need to be adjusted.
Fig. 1 is a schematic diagram of a main flow of a method for adjusting a price ratio according to an embodiment of the present invention:
s101: acquiring commodity information of a commodity in an order and determining supply information corresponding to the commodity in a supplier;
s102: and determining the supply value of the supplier for the commodity according to a preset planning model, the commodity information and the supply information.
In the above embodiment, in step S101, product information is acquired from an order. The commodity information may include at least a commodity type (SKU), a commodity ID, and a commodity quantity.
The determination of the supply information of the supplier is mainly performed according to the product information in the order, for example, according to the product SKU, the supply product library (or the product inventory/supply table) is traversed to obtain the inventory information for storing the product (for distinguishing from the product in the order, for the supplier, whether the supply information indicates).
For step S102, the planning model of the present invention is mainly a linear planning model, and specifically:
wherein, KjIs the demand of the jth commodity in the order, PijPrice for said jth merchandise, W, for the ith supplierijQuality factor, x, for said ith supplier for said jth commodityijA purchase factor for said j-th commodity for said i-th supplier, FiLogistics charge, y, for said i-th supplieriBeing the i-th supplierAnd (6) distributing the factors.
The supplier supply information for the commodity may include supplier information (e.g., pick-up price, freight, pick-up amount; etc.) and commodity information (e.g., stock amount, price) for the commodity. For the planning model, mainly use the purchase factor, delivery factor and supply price, and the rest of the information can be used to screen the use of the supplier, such as:
1) the inventory quantity is that whether the inventory quantity in the supplier meets the demand quantity in the order or not, and if not, the inventory quantity can be eliminated; in addition, the price P may be set when the stock is less than the demand amount or the supplier does not supply the product of the categoryijSet to a very large integer, e.g., plus infinity.
When all suppliers do not meet the demand, no viable solution may be suggested.
2) The pickup amount is an amount that the supplier requires the number of products to exceed in order to receive an order. When the quantity of the order does not reach the pick-up amount, the supplier may reject the order. For example, an order only needs 20, and a supplier needs to be rejected if the supplier delivers 100 in minimum;
specifically, the method comprises the following steps:
wherein Q isiRepresents the pickup amount of the ith supplier, and is 0 if there is no pickup amount.
3) The initial price refers to the amount that the supplier requires the order amount to exceed in order to receive the order. The supplier may reject the order when the order amount has not reached the launch price. For example, if the supply price of each commodity in a supplier is 100 yuan, and the order needs 10 commodities, but the lowest launch price of the supplier is 2000 yuan, the supplier needs to be removed;
specifically, the method comprises the following steps:
Further, there may be other possibilities for the supply price of the supplier, such as batch price processing of the supply price according to the demand in the order. For example, the commodity price is 15 yuan when the number is 100 pieces or less, and the commodity price is 14.5 yuan when the number is 100 to 300 pieces.
Both the pick-up price and the pick-up amount can be specified by the supplier as needed.
Further, the provider information may also be acquired based on the acquired commodity information. The supplier information may include at least a pick-up price, a freight fee, and a pick-up amount.
For part of supply information required in the model, it needs to be calculated, for example, the quality factor of the supplier, and needs to be determined according to the evaluation feedback information of the commodity and in combination with the trust level information of the supplier, specifically:
the quality factor is defined as: wij＝1/Lij
Wherein L isij(C + G)/2, C represents the trust level of the vendor, and G represents the user's rating feedback for the good.
Therefore, W isijIs defined as LijThe reciprocal of (A) is to satisfy the condition that the larger the C and G are, the smaller the value is, and the minimum value is consistent with the minimum value of the objective function. In case the trust level or rating feedback is not sound, it may be set to 1.
In addition, the trust level and rating feedback may be divided into a predetermined number of levels as desired. For example, there are 5 levels of trust, which are respectively 0.2, 0.4, 0.6, 0.8, and 1.0; similarly, the user evaluation feedback levels also have 5 levels, which are respectively 0.2, 0.4, 0.6, 0.8 and 1.0.
It should be noted that the number of trust levels and ratings fed back by rating may be different, and the corresponding rating values may also be different. The quality factor may also be determined by weighting the confidence level and the evaluation feedback, and the invention is not limited herein.
When adjusting the price, each commodity is generally required to be purchased only from one supplier, so that the following requirements can be met:
xijindicating a purchase of a jth item at an ith supplier, with a value of 0: no procurement, value 1.
When adjusting the price ratio, the logistics charge FiIt is also an important consideration that one part of the suppliers specify fixed logistics costs and another part charge based on geographical distance. In the case where the supplier charges according to the geographical location distance, it may be calculated according to the geographical location of the supplier and the location of the buyer. In the case where there are multiple delivery and receipt points, the closest pair of location points may be selected for calculation.
For the delivery factor yiThe value is 1 if the supplier delivers the product, and is 0 if the supplier does not deliver the product. If goods are purchased from the ith supplier, logistics costs are inevitably incurred. Thus, the linear programming model may need to satisfy:
yi-xij≥0,i∈{0,1,2...N},j∈{0,1,2...M}
through the linear programming model and the information, the supply value of each supplier for the commodity in the order can be determined.
For the convenience of subsequent screening, only the top ranked part of the suppliers may be extracted as a recommendation scheme to be provided to the user, for example, the top three ranked suppliers.
The method provided by the embodiment of the invention adopts a linear operation mode, and solves the technical problems of large calculation amount and long time consumption; the quality of the commodities is quantitatively considered, so that the technical problem that the recommendation result is inaccurate or inappropriate is solved; the established model fully considers the factors of multi-warehouse logistics, order starting price, order starting quantity and the like, and the technical effect of optimizing the quality of the recommendation result is achieved.
Fig. 2 is a schematic diagram of main modules of an apparatus for adjusting a price ratio according to an embodiment of the present invention:
the information acquisition module 201 is configured to acquire commodity information of a commodity in an order and determine supply information corresponding to the commodity in a supplier;
a supply value determining module 202, configured to determine a supply value of the supplier for the commodity according to a predetermined planning model, the commodity information, and the supply information.
In the implementation device of the present invention, the linear programming model is:
wherein the content of the first and second substances,
for the supply value, K, of the supplier for the goodsjIs the demand of the jth commodity in the order, PijSupply price, W, for said jth merchandise for ith supplierijQuality factor, x, for said ith supplier for said jth commodityijA purchase factor for said j-th commodity for said i-th supplier, FiLogistics price, y, for the ith supplieriA distribution factor for the ith supplier.
In the device for implementing the invention, the supply information comprises a supply price;
the information acquisition module is used for: and acquiring the commodity demand in the commodity information, and determining the supply price of the supplier for the commodity according to the corresponding relation between the demand threshold and the supply price.
In the device for implementing the invention, the supply information comprises a start-up price;
the supply value determination module to: determining a delivery price of the commodity for the supplier according to the determined supply price and the commodity demand; when the delivery price exceeds the pick-up price, determining a supply value of the supplier for the commodity according to a predetermined linear programming model, the commodity information and the supply information.
In the implementation device of the invention, the supply information comprises address information and logistics price of the supplier;
the information acquisition module is used for: and acquiring address information in the commodity information, and determining the logistics price of the supplier for the commodity according to the distance between the address information and the address information of the supplier.
In the device for implementing the invention, the supply information comprises trust level information of the supplier;
the information acquisition module is used for: and obtaining evaluation feedback information of the commodity, and determining the quality factor of the supplier for the commodity by combining the trust level information.
In the implementation device of the invention, the supply information further comprises commodity inventory and/or pick-up volume;
still include the screening module, be used for: and acquiring the commodity demand in the commodity information, and eliminating suppliers with commodity demand more than the commodity inventory and/or commodity demand less than the delivery amount.
Fig. 3 illustrates an exemplary system architecture 300 of a method for adjusting a price ratio or an apparatus for adjusting a price ratio to which embodiments of the present invention may be applied.
As shown in fig. 3, the system architecture 300 may include terminal devices 301, 302, 303, a network 304, and a server 305. The network 304 serves as a medium for providing communication links between the terminal devices 301, 302, 303 and the server 305. Network 304 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal device 301, 302, 303 to interact with the server 305 via the network 304 to receive or send messages or the like. The terminal devices 301, 302, 303 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 301, 302, 303 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 305 may be a server providing various services, such as a background management server (for example only) providing support for shopping-like websites browsed by users using the terminal devices 301, 302, 303. The background management server may analyze and perform other processing on the received data such as the product information query request, and feed back a processing result (e.g., a recommendation scheme) to the terminal device.
It should be noted that the method for adjusting the price ratio provided by the embodiment of the present invention is generally executed by the server 305, and accordingly, the device for adjusting the price ratio is generally disposed in the server 305.
It should be understood that the number of terminal devices, networks, and servers in fig. 3 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 4, a block diagram of a computer system 400 suitable for use with a terminal device implementing an embodiment of the invention is shown. The terminal device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 4, the computer system 400 includes a Central Processing Unit (CPU)401 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage section 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the system 400 are also stored. The CPU 401, ROM 402, and RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
The following components are connected to the I/O interface 405: an input section 406 including a keyboard, a mouse, and the like; an output section 407 including a display device such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 408 including a hard disk and the like; and a communication section 409 including a network interface card such as a LAN card, a modem, or the like. The communication section 409 performs communication processing via a network such as the internet. A driver 410 is also connected to the I/O interface 405 as needed. A removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 410 as necessary, so that a computer program read out therefrom is mounted into the storage section 408 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 409, and/or installed from the removable medium 411. The computer program performs the above-described functions defined in the system of the present invention when executed by a Central Processing Unit (CPU) 401.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer 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 of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, 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. In the present invention, a computer 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. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer 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 computer readable signal medium may also be any computer readable medium that is not a computer 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 computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes an information acquisition module, a supply value determination module. The names of these modules do not in some cases constitute a limitation on the modules themselves, and for example, the information acquisition module may also be described as a "commodity information and supply information acquisition module".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to:
acquiring commodity information of a commodity in an order and determining supply information corresponding to the commodity in a supplier;
and determining the supply value of the supplier for the commodity according to a preset planning model, the commodity information and the supply information.
According to the technical scheme of the embodiment of the invention, linear operation is adopted, so that the technical problems of large calculation amount and long time consumption are solved, and the technical effect of optimizing calculation is further achieved; the quality of the commodities is quantitatively considered, so that the technical problem that the recommendation result is inaccurate or inappropriate is solved, and the technical effect of the quality of the recommendation result is optimized; because the established model considers the problems of multi-warehouse logistics, order starting price and order starting quantity, the technical effect of further optimizing the quality of the recommendation result can be provided.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for adjusting a price ratio, comprising:
acquiring commodity information of a commodity in an order and determining supply information corresponding to the commodity in a supplier;
and determining the supply value of the supplier for the commodity according to a preset planning model, the commodity information and the supply information.
2. The method of claim 1, wherein the linear programming model is:
wherein the content of the first and second substances,
for the supply value, K, of the supplier for the goodsjIs the demand of the jth commodity in the order, PijSupply price, W, for said jth merchandise for ith supplierijQuality factor, x, for said ith supplier for said jth commodityijA purchase factor for said j-th commodity for said i-th supplier, FiLogistics price, y, for the ith supplieriA distribution factor for the ith supplier.
3. The method of claim 1, wherein the supply information includes a supply price;
the obtaining of the commodity information of the commodity in the order and determining the supply information corresponding to the commodity in the supplier comprise:
and acquiring the commodity demand in the commodity information, and determining the supply price of the supplier for the commodity according to the corresponding relation between the demand threshold and the supply price.
4. The method of claim 3, wherein the provisioning information includes a pickup price;
the determining a supply value of the supplier for the commodity according to a predetermined linear programming model, the commodity information and the supply information further comprises:
determining a delivery price of the commodity for the supplier according to the determined supply price and the commodity demand;
when the delivery price exceeds the pick-up price, determining a supply value of the supplier for the commodity according to a predetermined linear programming model, the commodity information and the supply information.
5. The method of claim 1, wherein the supply information includes address information of the supplier and a logistics price;
the determining the supply information corresponding to the commodity in the supplier comprises the following steps:
and acquiring address information in the commodity information, and determining the logistics price of the supplier for the commodity according to the distance between the address information and the address information of the supplier.
6. The method of claim 1, wherein the provisioning information comprises trust level information of the vendor;
the determining the supply information corresponding to the commodity in the supplier comprises the following steps:
and obtaining evaluation feedback information of the commodity, and determining the quality factor of the supplier for the commodity by combining the trust level information.
7. The method of claim 1, wherein the supply information further comprises inventory and/or pick-up of goods;
before determining the supply value of the supplier for the commodity according to the predetermined linear programming model, the commodity information and the supply information, the method further comprises the following steps:
and acquiring the commodity demand in the commodity information, and eliminating suppliers with commodity demand more than the commodity inventory and/or commodity demand less than the delivery amount.
8. An apparatus for adjusting a price ratio, comprising:
the information acquisition module is used for acquiring commodity information of commodities in the order and determining supply information corresponding to the commodities in a supplier;
and the supply value determining module is used for determining the supply value of the supplier for the commodity according to a preset planning model, the commodity information and the supply information.
9. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer-readable medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of any one of claims 1-7.
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| CN112183969A (en) * | 2020-09-15 | 2021-01-05 | 北京每日优鲜电子商务有限公司 | Payment equipment operation control method and device for supply order and electronic equipment |
| CN112613660A (en) * | 2020-12-23 | 2021-04-06 | 云汉芯城（上海）互联网科技股份有限公司 | Order matching method, device and storage medium |
| CN113469771A (en) * | 2020-03-31 | 2021-10-01 | 珠海优特智厨科技有限公司 | Catering order processing method, device and system, storage medium and computer equipment |
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