Goods supply management method, device, equipment and medium for e-commerce

Abstract

The present invention discloses a method, device, equipment and medium for goods supply management for e-commerce, the method comprising: obtaining goods feature information corresponding to the input new goods information according to a pre-stored historical goods database; obtaining associated feature information corresponding to the new goods information according to a preset associated extraction rule; analyzing the goods feature information and associated feature information according to a preset goods loss analysis model to obtain a corresponding loss ratio value; determining the corresponding goods supply quantity according to the loss ratio value and the new goods information. The present invention belongs to the field of logistics intelligent management technology, and can be based on the analysis of the goods feature information corresponding to the new goods information and the corresponding associated feature information to predict the damage ratio value, and determine the goods supply quantity according to the damage ratio value, so as to determine the goods supply quantity corresponding to the new goods information in advance for supply, thereby improving the efficiency of goods supply management.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent logistics management, and in particular to a method, device, equipment and medium for goods supply management for e-commerce. Background Art

[0002] In order to improve the efficiency of logistics management, enterprises usually adopt intensive management methods to centrally manage multiple links such as supply, manufacturing, warehousing, and distribution, and can minimize the cost of the supply chain system. However, in the existing technical methods, when supplying goods, there is a certain period of time between the customer's order and the delivery, and the goods are only inspected before delivery. Therefore, there are often problems such as failure to obtain the quantity of goods damage in a timely and accurate manner, resulting in the inability to ship according to the confirmed order due to the lack of corresponding goods during delivery. The company's active order cancellation seriously affects the customer's shopping experience. The efficiency of managing the supply of goods in the existing technical methods is low, which has a negative impact on customer experience and corporate reputation. Therefore, there is a problem of low efficiency in the supply management of goods for e-commerce in the existing technical methods. Summary of the invention

[0003] The embodiments of the present invention provide a method, device, equipment and medium for goods supply management for e-commerce, aiming to solve the problem of low efficiency of goods supply management for e-commerce existing in the prior art methods.

[0004] In a first aspect, an embodiment of the present invention provides a method for managing the supply of goods for e-commerce, which includes:

[0005] If the input new cargo information is received, cargo characteristic information corresponding to the new cargo information in the pre-stored historical cargo database is obtained;

[0006] Acquire the associated feature information corresponding to the newly added cargo information according to the preset associated extraction rules;

[0007] Analyze the cargo characteristic information and the associated characteristic information according to a preset cargo loss analysis model to obtain a corresponding loss ratio value;

[0008] The corresponding supply quantity of goods is determined according to the loss ratio value and the newly added goods information.

[0009] In a second aspect, an embodiment of the present invention provides a goods supply management device for e-commerce, which includes:

[0010] A cargo characteristic information acquisition unit, configured to, upon receiving the inputted newly added cargo information, acquire cargo characteristic information corresponding to the newly added cargo information in a pre-stored historical cargo database;

[0011] A correlation feature information acquisition unit, used to acquire the correlation feature information corresponding to the newly added cargo information according to a preset correlation extraction rule;

[0012] A characteristic information analysis unit, used to analyze the cargo characteristic information and related characteristic information according to a preset cargo loss analysis model to obtain a corresponding loss ratio value;

[0013] The goods supply quantity acquisition unit is used to determine the corresponding goods supply quantity according to the loss ratio value and the newly added goods information.

[0014] In a third aspect, an embodiment of the present invention further provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the e-commerce oriented goods supply management method described in the first aspect is implemented.

[0015] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor executes the goods supply management method for e-commerce described in the first aspect above.

[0016] The embodiments of the present invention provide a method, device, computer equipment and readable storage medium for goods supply management for e-commerce. The goods feature information corresponding to the input new goods information is obtained according to the pre-stored historical goods database; the associated feature information corresponding to the new goods information is obtained according to the preset associated extraction rules; the goods feature information and the associated feature information are analyzed according to the preset goods loss analysis model to obtain the corresponding loss ratio value; the corresponding goods supply quantity is determined according to the loss ratio value and the new goods information. Through the above method, the analysis can be performed based on the goods feature information corresponding to the new goods information and the corresponding associated feature information to predict the damage ratio value, and the goods supply quantity is determined according to the damage ratio value, so that the goods supply quantity corresponding to the new goods information can be determined in advance before the customer places an order, thereby improving the efficiency of goods supply management. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0018] Figure 1A flow chart of a method for managing the supply of goods for e-commerce provided by an embodiment of the present invention;

[0019] Figure 2 A schematic diagram of a sub-process of a method for managing goods supply for e-commerce provided by an embodiment of the present invention;

[0020] Figure 3 A schematic diagram of another sub-process of the goods supply management method for e-commerce provided by an embodiment of the present invention;

[0021] Figure 4 A schematic diagram of another sub-process of the e-commerce oriented goods supply management method provided by an embodiment of the present invention;

[0022] Figure 5 A schematic diagram of another sub-process of the goods supply management method for e-commerce provided by an embodiment of the present invention;

[0023] Figure 6 A schematic diagram of the latter sub-process of the e-commerce oriented goods supply management method provided by an embodiment of the present invention;

[0024] Figure 7 Another schematic diagram of a flow chart of a method for managing goods supply for e-commerce provided by an embodiment of the present invention;

[0025] Figure 8 A schematic block diagram of a goods supply management device for e-commerce provided by an embodiment of the present invention;

[0026] Fig. 9 A schematic block diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0029] It should also be understood that the terms used in this specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0030] It should be further understood that the term "and / or" used in the present description and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0031] See also Figure 1 , Figure 1 This is a flow chart of a method for managing the supply of goods for e-commerce provided by an embodiment of the present invention. The method for managing the supply of goods for e-commerce is applied to a management server. The method for managing the supply of goods for e-commerce is executed by application software installed in the management server. The management server is a server end that can execute the method for managing the supply of goods for e-commerce, such as a server end built within an enterprise for managing logistics supply. Figure 1 As shown, the method includes steps S110 to S140.

[0032] S110: If the input new cargo information is received, cargo feature information corresponding to the new cargo information in a pre-stored historical cargo database is obtained.

[0033] The administrator can input the newly added goods information into the management server. The administrator can be the logistics manager of the enterprise. The newly added goods information is the information corresponding to the newly added goods that need to be put on the shelves. After the newly added goods are put on the shelves in the management server, customers can view the goods information and place orders. Since the newly added goods information is the information corresponding to the goods that have never been sold, the newly added goods information does not contain relevant information such as goods sales and losses. When the goods are officially sold, there are usually loss problems such as substandard quality and man-made damage, and the relevant problems can only be discovered when they are shipped (shipping is at a certain point in time after the order is placed). Therefore, the quantity of goods that can be supplied is less than the total number of goods in the newly added goods information. Before the actual loss of the goods can be determined, the loss quantity of the goods can be estimated based on the newly added goods information, so as to set a reasonable supply quantity based on the loss quantity and the total number of goods. The newly added goods information includes information such as the goods category, goods quantity, and expected selling price. Since the amount of information in the newly added goods information is relatively small, the goods feature information corresponding to the newly added goods information can be obtained from the historical goods database. The historical goods database is a database pre-configured in the management server for recording relevant information of the sold goods. The acquired feature information is information obtained based on the sold goods that match the newly added goods information and can reflect the corresponding features of the newly added goods information.

[0034] In one embodiment, if Figure 2 As shown, step S110 includes steps S111 and S112.

[0035] S111. Acquire corresponding historical goods sales information from the historical goods database according to the goods category of the newly added goods information.

[0036] The newly added goods information includes the goods category corresponding to the newly added goods. The goods category may include related information such as the major category of goods, minor category of goods, purpose, and usage scenario. The goods type can be used to accurately match the sold goods contained in the historical goods database, so as to obtain the relevant information of the sold goods that matches the goods category from the historical goods database as the corresponding historical goods sales information. Among them, the historical goods database contains a large number of sold goods. In addition to the category information such as the major category of goods, minor category of goods, purpose, and usage scenario, each sold goods also includes the sales amount, evaluation, sales volume, and other information related to the goods sales. The historical goods sales information obtained also includes the sales amount, evaluation, sales volume, and other related information of the sold goods that match the goods category.

[0037] S112. Extract corresponding goods feature information from the historical goods sales information according to preset feature extraction rules.

[0038] The cargo feature information can be extracted from the historical cargo sales information according to the feature extraction rules, and the cargo feature information can be used to reflect the feature information corresponding to the newly added cargo information. The feature extraction rules are specific rules that can be used to extract the corresponding feature information, and the feature extraction rules include multiple feature extraction items and quantification rules corresponding to each feature extraction item.

[0039] In one embodiment, if Figure 3 As shown, step S112 includes steps S1121, S1122 and S1123.

[0040] S1121. Integrate the historical goods sales information to obtain corresponding goods sales integration information.

[0041] The historical goods sales information includes at least one information related to the goods that have been sold. If the historical goods sales information includes multiple goods that have been sold, the information of the multiple goods that have been sold in the historical goods sales information can be integrated to obtain goods sales integrated information that can better reflect the overall situation of the historical goods sales information. Specifically, the category information such as the major category, minor category, purpose, and usage scenario of each sold goods in the historical goods sales information is the same, so there is no need to integrate it; obtain the sales amount, evaluation, sales volume and other information related to the goods sales of each sold goods in the historical goods sales information, and calculate the average value to obtain the corresponding average sales amount, average evaluation, average sales volume and other information, and combine the minimum sales amount, average sales amount, maximum sales amount, average evaluation, average sales volume and other information with the category information to obtain the corresponding goods sales integrated information.

[0042] S1122. Acquire corresponding integrated extraction information from the goods sales integrated information and the newly added goods information according to the feature extraction items included in the feature extraction rule.

[0043] The feature extraction rules include corresponding feature extraction items, and the corresponding integrated extraction information can be obtained from the goods sales integrated information and the newly added goods information according to the feature extraction items. Specifically, the project value corresponding to each feature extraction item is obtained from the sales integrated information and the newly added goods information according to the feature extraction items to obtain the integrated extraction information corresponding to the goods sales integrated information.

[0044] S1123. Quantify the integrated extraction information according to the quantization rule corresponding to each of the feature extraction items in the feature extraction rule to obtain corresponding cargo feature information.

[0045] The feature extraction rules include quantification rules corresponding to each feature extraction item, and the item value corresponding to each feature extraction item in the integrated extraction information can be quantified according to the quantification rules to obtain the corresponding goods feature information. Specifically, the quantification rules include mapping information for converting the corresponding item values. For example, for item values ​​such as major categories of goods, minor categories of goods, purposes, and usage scenarios, mapping conversion can be performed according to the mapping information corresponding to the item values, thereby converting the text information into the corresponding quantitative feature value; for item values ​​such as the quantity of goods, expected selling price, minimum sales amount, average sales amount, and maximum sales amount, mapping classification can be performed according to the mapping information, and the corresponding quantitative feature value can be determined according to the classification results. For example, the expected selling price can be classified into large, medium, and small amounts through mapping classification, and different classification results correspond to different quantitative feature values.

[0046] S120. Acquire association feature information corresponding to the newly added cargo information according to a preset association extraction rule.

[0047] The associated characteristic information associated with the newly added goods information can be obtained according to the associated extraction rule. The associated characteristic information includes time characteristic information and supply characteristic information. The time characteristic information is information used to reflect the time characteristics, and the supply characteristic information is information used to reflect the supply characteristics.

[0048] In one embodiment, if Figure 4 As shown, step S120 includes steps S121 and S122.

[0049] S121. Generate corresponding time feature information according to the association extraction rule and the current time.

[0050] Specifically, the depreciation of goods at different times may be different. Therefore, when estimating the loss quantity of goods, it is necessary to add time-related information for comprehensive analysis. The corresponding time feature information can be generated based on the associated extraction rules and the current time. For example, the current month information is obtained, and the corresponding time feature information is generated based on the associated extraction rules and the current month information. The time feature information contains a quantitative feature value corresponding to the current time.

[0051] S122. Extract corresponding supply characteristic information from the supplier of the newly added goods information according to the association extraction rule.

[0052] If the newly added goods information also includes the supplier, the supply characteristic information corresponding to the supplier can be extracted according to the association extraction rules. For example, the supplier includes the supplier enterprise name, supplier enterprise scale, logistics method and other information, then the corresponding associated item value can be obtained according to the associated extraction items included in the association extraction rules, and each associated item value is quantified to obtain the corresponding supply characteristic information, and the supply characteristic information includes multiple quantitative characteristic values ​​corresponding to the supplier.

[0053] S130. Analyze the cargo characteristic information and related characteristic information according to a preset cargo loss analysis model to obtain a corresponding loss ratio value.

[0054] The cargo feature information and associated feature information can be analyzed according to the cargo loss analysis model. The cargo loss analysis model is an intelligent analysis model built based on a neural network. The cargo loss analysis model consists of an input layer, one or more intermediate layers, and an output layer. The input layer contains multiple input nodes, the intermediate layer contains multiple intermediate nodes, and the output layer contains an output node. The nodes of two adjacent layers of the cargo loss analysis model are associated through an association formula. The association formula can be expressed by a linear function, and the linear function contains corresponding parameter values. The cargo feature information and associated feature information can be input into the input layer of the cargo loss analysis model and analyzed, and the corresponding loss ratio value can be obtained from the output layer of the model.

[0055] Specifically, before using the cargo loss analysis model, the model can be iteratively trained using historical cargo sales information. The process of training the model is to adjust the parameter values ​​in the linear function. The above steps S110-S120 can be used to obtain the corresponding historical cargo feature information and historical associated feature information from the historical cargo sales information. The historical cargo sales information also includes the historical loss ratio corresponding to the sold cargo. The historical cargo feature information and historical associated feature information are used as input information, and the corresponding historical loss ratio is used as the training target to achieve the training of the historical cargo sales information. A set of information corresponding to the sold cargo of the same cargo category can complete the training of the cargo loss analysis model once, and the information corresponding to multiple cargo categories can achieve iterative training of the cargo loss analysis model.

[0056] In one embodiment, if Figure 5 As shown, step S130 includes steps S131 and S132.

[0057] S131. Combining the cargo characteristic information with the associated characteristic information to obtain model input information.

[0058] The quantitative feature value included in the acquired feature information and the quantitative feature value included in the associated feature information may be combined, and the obtained combination of multiple quantitative feature values ​​may be used as the model input information.

[0059] S132. Input the model input information into the cargo loss analysis model to perform association analysis on the model input information through the association relationship of the nodes included in the cargo loss analysis model to obtain a corresponding loss ratio value.

[0060] The obtained model input information can be input into the input layer of the cargo loss analysis model, and the number of input nodes contained in the input layer is equal to the number of quantitative characteristic values ​​contained in the model input information. The cargo loss analysis model performs correlation analysis on the model input information through the correlation relationship of the nodes, that is, the correlation calculation of the input quantitative characteristic values ​​is performed through the linear function between the nodes, and the loss ratio value can be obtained from the output layer of the model. The output layer contains only one output node, and the value of the output node is the corresponding loss ratio value.

[0061] S140. Determine the corresponding supply quantity of goods according to the loss ratio value and the newly added goods information.

[0062] The corresponding supply quantity of goods can be determined based on the loss ratio value and the newly added goods information. The goods can be put on the sales platform with the calculated supply quantity, and customers can then place purchase orders for the goods on the sales platform.

[0063] In one embodiment, if Figure 6 As shown, step S140 includes steps S141, S142 and S143.

[0064] S141. Calculate the supply quantity of each irreplaceable commodity according to the loss ratio value and the quantity of commodities with a replacement type of irreplaceable in the newly added commodity information.

[0065] Specifically, the newly added goods information may include goods of multiple specifications, and there is a replaceable or non-replaceable relationship between goods of different specifications. For example, for goods such as shoes, different shoe sizes cannot be used interchangeably, so the replacement type of the goods is non-replaceable; for goods such as different color specifications and different pattern rules, which are usually replaceable, the replacement type of the goods is replaceable. In addition, there may be multiple specifications of the same goods that are both replaceable and non-replaceable. For example, for goods such as tablecloths, the replacement type of tablecloths of different sizes is non-replaceable, and the replacement type of tablecloths of different colors is replaceable.

[0066] The goods with replacement type of non-replaceable can be obtained from the newly added goods information, and the corresponding supply quantity can be calculated separately based on the quantity and loss ratio of each non-replaceable goods. The calculated supply quantity is the estimated saleable quantity of each specification of goods taking into account the loss of the product.

[0067] For example, the loss ratio value can be multiplied by the quantity of goods of each specification to obtain the estimated loss quantity corresponding to each goods. The supply quantity of the goods can be obtained by subtracting the corresponding estimated loss quantity from the quantity of goods.

[0068] S142: Obtain the quantity of goods whose replacement type is replaceable from the newly added goods information, and add them up to obtain the corresponding accumulated quantity of goods.

[0069] The quantity of goods whose replacement type is replaceable can be obtained from the newly added goods information, and the quantity of each replaceable goods is accumulated to obtain the accumulated quantity of goods.

[0070] S143. Calculate an estimated supply quantity according to the loss ratio value and the accumulated quantity of the goods as the supply quantity corresponding to each replaceable good.

[0071] Multiply the loss ratio value by the cumulative quantity of goods to obtain the corresponding estimated cumulative loss quantity, and subtract the estimated cumulative loss quantity from the cumulative quantity of goods to obtain the estimated supply quantity, and use the estimated supply quantity as the supply quantity of each replaceable goods.

[0072] The supply quantity of goods then includes the supply quantity corresponding to each specification of goods in the newly added goods information.

[0073] In one embodiment, if Figure 7 As shown, step S150 is further included after step S140.

[0074] S150: If cargo loss information is received, update the cargo supply quantity according to the cargo loss information and the newly added cargo information.

[0075] In the process of goods management, the goods loss information can be obtained by statistics, and the administrator can input the goods loss information into the management server. After receiving the goods loss information, the management server can update the goods supply quantity according to the goods loss information and the newly added goods information. Specifically, the goods quantity of each specification of goods in the newly added goods information can be subtracted from the actual loss quantity corresponding to the goods loss information to obtain the actual supply quantity of each specification of goods, and then the actual supply quantity can be subtracted from the actual order quantity of each specification of goods to obtain the corresponding difference, and the goods supply quantity can be updated according to the obtained difference.

[0076] Specifically, before updating the supply quantity of goods, it is also possible to determine whether the goods loss information meets the corresponding update conditions based on the loss ratio value, and to calculate the corresponding actual loss ratio based on the goods loss information and the total number of goods in the newly added goods information, to determine whether the actual loss ratio is less than the above loss ratio value. If it is less, it is determined that the update conditions are met, and subsequent steps of updating the goods supply quantity based on the goods loss information and the newly added goods information are executed; if it is not less than, it is determined that the update conditions are not met, and a corresponding prompt message can be sent to the administrator at this time.

[0077] In the goods supply management method for e-commerce provided in the embodiment of the present invention, the goods feature information corresponding to the input new goods information is obtained according to the pre-stored historical goods database; the associated feature information corresponding to the new goods information is obtained according to the preset associated extraction rules; the goods feature information and the associated feature information are analyzed according to the preset goods loss analysis model to obtain the corresponding loss ratio value; the corresponding goods supply quantity is determined according to the loss ratio value and the new goods information. Through the above method, the analysis can be performed based on the goods feature information corresponding to the new goods information and the corresponding associated feature information to predict the damage ratio value, and the goods supply quantity is determined according to the damage ratio value, so that the goods supply quantity corresponding to the new goods information can be determined in advance before the customer places an order for supply, thereby improving the efficiency of goods supply management.

[0078] The embodiment of the present invention also provides a goods supply management device for e-commerce, which can be configured in a management server and is used to execute any embodiment of the above-mentioned goods supply management method for e-commerce. Figure 8 , Figure 8 A schematic block diagram of a goods supply management device for e-commerce provided in an embodiment of the present invention.

[0079] like Figure 8 As shown, the goods supply management device 100 for e-commerce includes a goods feature information acquisition unit 110 , a related feature information acquisition unit 120 , a feature information analysis unit 130 and a goods supply quantity acquisition unit 140 .

[0080] The cargo characteristic information acquisition unit 110 is used to acquire cargo characteristic information corresponding to the newly added cargo information in a pre-stored historical cargo database if the newly added cargo information is received.

[0081] In a specific embodiment, the cargo feature information acquisition unit 110 includes subunits: a historical cargo sales information acquisition unit, which is used to acquire corresponding historical cargo sales information from the historical cargo database according to the cargo category of the newly added cargo information; and a feature information extraction unit, which is used to extract corresponding cargo feature information from the historical cargo sales information according to a preset feature extraction rule.

[0082] In a specific embodiment, the feature information extraction unit includes subunits: an information integration unit, which is used to integrate the historical goods sales information to obtain corresponding goods sales integrated information; an integrated extraction information acquisition unit, which is used to obtain corresponding integrated extraction information from the goods sales integrated information and the newly added goods information according to the feature extraction items included in the feature extraction rules; a quantization processing unit, which is used to quantize the integrated extraction information according to the quantization rules corresponding to each of the feature extraction items in the feature extraction rules to obtain corresponding goods feature information.

[0083] The associated characteristic information acquisition unit 120 is used to acquire the associated characteristic information corresponding to the newly added cargo information according to a preset associated extraction rule.

[0084] In a specific embodiment, the associated characteristic information acquisition unit 120 includes subunits: a time characteristic information generation unit, which is used to generate corresponding time characteristic information according to the associated extraction rule and the current time; and a supply characteristic information extraction unit, which is used to extract corresponding supply characteristic information from the supplier of the newly added goods information according to the associated extraction rule.

[0085] The characteristic information analysis unit 130 is used to analyze the cargo characteristic information and related characteristic information according to a preset cargo loss analysis model to obtain a corresponding loss ratio value.

[0086] In a specific embodiment, the characteristic information analysis unit 130 includes subunits: a model input information acquisition unit, which is used to combine the cargo characteristic information and the associated characteristic information to obtain model input information; and a loss ratio value acquisition unit, which is used to input the model input information into the cargo loss analysis model to perform association analysis on the model input information through the association relationship of the nodes contained in the cargo loss analysis model to obtain a corresponding loss ratio value.

[0087] The goods supply quantity acquisition unit 140 is used to determine the corresponding goods supply quantity according to the loss ratio value and the new goods information.

[0088] In a specific embodiment, the goods supply quantity acquisition unit 140 includes subunits: a first calculation unit, used to calculate the supply quantity of each non-replaceable goods according to the loss ratio value and the number of goods with a replacement type of non-replaceable in the newly added goods information; a goods cumulative quantity acquisition unit, used to obtain the number of goods with a replacement type of replaceable from the newly added goods information and accumulate them to obtain the corresponding cumulative quantity of goods; a second calculation unit, used to calculate the estimated supply quantity according to the loss ratio value and the cumulative quantity of goods as the supply quantity corresponding to each replaceable goods.

[0089] In a specific embodiment, the goods supply management device 100 for e-commerce further includes a subunit: a goods supply quantity updating unit, which is used to update the goods supply quantity according to the goods loss information and the newly added goods information if goods loss information is received.

[0090] The goods supply management device for e-commerce provided in the embodiment of the present invention applies the above-mentioned goods supply management method for e-commerce, obtains goods feature information corresponding to the input new goods information according to the pre-stored historical goods database; obtains the associated feature information corresponding to the new goods information according to the preset associated extraction rules; analyzes the goods feature information and the associated feature information according to the preset goods loss analysis model to obtain the corresponding loss ratio value; determines the corresponding goods supply quantity according to the loss ratio value and the new goods information. Through the above-mentioned method, analysis can be performed based on the goods feature information corresponding to the new goods information and the corresponding associated feature information to predict the damage ratio value, and determine the goods supply quantity according to the damage ratio value, so that the goods supply quantity corresponding to the new goods information can be determined in advance before the customer places an order for supply, thereby improving the efficiency of goods supply management.

[0091] The above-mentioned goods supply management device for e-commerce can be implemented in the form of a computer program, and the computer program can be used in Fig. 9 Runs on the computer device shown.

[0092] See also Fig. 9 , Fig. 9 The computer device provided in the embodiment of the present invention is a schematic block diagram. The computer device may be a management server for executing the e-commerce oriented goods supply management method to perform e-commerce oriented goods supply management.

[0093] See also Fig. 9 The computer device 500 includes a processor 502 , a memory and a network interface 505 connected via a system bus 501 , wherein the memory may include a storage medium 503 and an internal memory 504 .

[0094] The storage medium 503 can store an operating system 5031 and a computer program 5032. When the computer program 5032 is executed, the processor 502 can execute a goods supply management method for e-commerce, wherein the storage medium 503 can be a volatile storage medium or a non-volatile storage medium.

[0095] The processor 502 is used to provide computing and control capabilities to support the operation of the entire computer device 500 .

[0096] The internal memory 504 provides an environment for the operation of the computer program 5032 in the storage medium 503. When the computer program 5032 is executed by the processor 502, the processor 502 can execute the goods supply management method for e-commerce.

[0097] The network interface 505 is used for network communication, such as providing data information transmission, etc. Those skilled in the art will understand that Fig. 9 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation on the computer device 500 to which the solution of the present invention is applied. The specific computer device 500 may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0098] The processor 502 is used to run the computer program 5032 stored in the memory to implement the corresponding functions of the above-mentioned e-commerce oriented goods supply management method.

[0099] Those skilled in the art will understand that Fig. 9 The embodiments of the computer device shown in the figure do not constitute a limitation on the specific composition of the computer device. In other embodiments, the computer device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently. For example, in some embodiments, the computer device may only include a memory and a processor. In such embodiments, the structure and function of the memory and the processor are the same as those of the embodiment of the present invention. Fig. 9 The embodiments shown are consistent and will not be described again here.

[0100] It should be understood that in the embodiment of the present invention, the processor 502 may be a central processing unit (CPU), and the processor 502 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0101] In another embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium may be a volatile or non-volatile computer-readable storage medium. The computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the steps included in the above-mentioned e-commerce-oriented goods supply management method are implemented.

[0102] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the above-described equipment, devices and units can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here. Those of ordinary skill in the art can appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, computer software or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to the function. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0103] In the several embodiments provided by the present invention, it should be understood that the disclosed equipment, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. Units with the same function may also be combined into one unit. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices or units, or may be an electrical, mechanical or other form of connection.

[0104] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present invention.

[0105] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0106] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a computer-readable storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned computer-readable storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk or an optical disk.

[0107] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for managing the supply of goods for e-commerce, characterized in that: include: If the input new cargo information is received, cargo characteristic information corresponding to the new cargo information in the pre-stored historical cargo database is obtained; Acquire the associated feature information corresponding to the newly added cargo information according to the preset associated extraction rules; Analyze the cargo characteristic information and the associated characteristic information according to a preset cargo loss analysis model to obtain a corresponding loss ratio value; Determine the corresponding supply quantity of goods according to the loss ratio value and the newly added goods information; The obtaining of cargo characteristic information corresponding to the newly added cargo information in the pre-stored historical cargo database includes: Acquire corresponding historical goods sales information from the historical goods database according to the goods category of the newly added goods information; Extracting corresponding goods feature information from the historical goods sales information according to a preset feature extraction rule; The extracting corresponding goods feature information from the historical goods sales information according to the preset feature extraction rules includes: Integrating the historical goods sales information to obtain corresponding goods sales integration information; Acquire corresponding integrated extraction information from the goods sales integrated information and the newly added goods information according to the feature extraction items included in the feature extraction rules; Quantify the integrated extracted information according to the quantization rule corresponding to each of the feature extraction items in the feature extraction rule to obtain corresponding cargo feature information; The associated characteristic information includes time characteristic information and supply characteristic information, and the acquiring of the associated characteristic information corresponding to the newly added goods information according to the preset associated extraction rule includes: Generate corresponding time feature information according to the association extraction rule and the current time; Extracting corresponding supply characteristic information from the supplier of the newly added goods information according to the association extraction rule; The analyzing the cargo characteristic information and the associated characteristic information according to the preset cargo loss analysis model to obtain the corresponding loss ratio value includes: Combining the cargo characteristic information with the associated characteristic information to obtain model input information; The model input information is input into the cargo loss analysis model to perform association analysis on the model input information through the association relationship of the nodes contained in the cargo loss analysis model to obtain the corresponding loss ratio value; the cargo loss analysis model is composed of an input layer, one or more intermediate layers and an output layer, the input layer contains multiple input nodes, the intermediate layers contain multiple intermediate nodes, the output layer contains an output node, and the nodes of two adjacent layers in the cargo loss analysis model are associated with each other through an association formula. The association formula can be expressed by a linear function, and the linear function contains corresponding parameter values.

2. The method for managing the supply of goods for e-commerce according to claim 1, characterized in that: The determining the corresponding supply quantity of goods according to the loss ratio value and the newly added goods information includes: Calculate the supply quantity of each non-replaceable commodity according to the loss ratio value and the quantity of commodities with a replacement type of non-replaceable in the newly added commodity information; Obtaining the quantity of goods whose replacement type is replaceable from the newly added goods information and accumulating them to obtain the corresponding accumulated quantity of goods; The estimated supply quantity is calculated according to the loss ratio value and the cumulative quantity of the goods as the supply quantity corresponding to each replaceable goods.

3. The method for managing the supply of goods for e-commerce according to claim 1, characterized in that: After determining the corresponding supply quantity of goods according to the loss ratio value and the newly added goods information, the method further includes: If cargo loss information is received, the cargo supply quantity is updated according to the cargo loss information and the newly added cargo information.

4. A goods supply management device for e-commerce, the device applying the goods supply management method for e-commerce as claimed in any one of claims 1 to 3, characterized in that: The device comprises: A cargo characteristic information acquisition unit, configured to, upon receiving the inputted newly added cargo information, acquire cargo characteristic information corresponding to the newly added cargo information in a pre-stored historical cargo database; A correlation feature information acquisition unit, used to acquire the correlation feature information corresponding to the newly added cargo information according to a preset correlation extraction rule; A characteristic information analysis unit, used to analyze the cargo characteristic information and related characteristic information according to a preset cargo loss analysis model to obtain a corresponding loss ratio value; The goods supply quantity acquisition unit is used to determine the corresponding goods supply quantity according to the loss ratio value and the newly added goods information.

5. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the electronic commerce-oriented goods supply management method according to any one of claims 1 to 3 is implemented.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the electronic commerce-oriented goods supply management method according to any one of claims 1 to 3 is implemented.

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