Information processing method and device and storage medium

Abstract

Embodiments of the invention disclose an information processing method and apparatus, and a storage medium. The method comprises the steps of obtaining a plurality of target commodities ordered in a preset time period from a target grid station; screening a first group of commodities without historical distribution records corresponding to the target distribution mode from the plurality of target commodities, and determining a second group of commodities except the first group of commodities in the plurality of target commodities; determining a commodity distribution mode of the first group of commodities according to the commodity parameters of the first group of commodities and / or historical distribution parameters; determining the distribution mode of the second group of commodities as a target distribution mode; and determining the commodity distribution mode and the target distribution mode as the target distribution mode of the plurality of target commodities.

Description

Technical Field

[0001] The present application relates to the field of information processing technology, and in particular to an information processing method and device, and a storage medium. Background Art

[0002] With the development of Internet technology, users can buy daily necessities such as vegetables and cold drinks on various APPs. This purchasing method is usually that the user places an order on the APP on the first day. The grid station receives the user's ordered goods and distributes them. On the second day, the goods can be delivered to the group leader in the user's area, and the user can get the ordered goods from the group leader.

[0003] In the related art, the staff of the grid station determines the distribution method of the ordered goods based on their distribution experience, and distributes the ordered goods according to the distribution method. When the number of ordered goods is large or the staff of the grid station has little distribution experience, it is impossible to determine the distribution method of each ordered product, which reduces the accuracy of determining the product distribution method. Summary of the invention

[0004] In order to solve the above technical problems, the embodiments of the present application hope to provide an information processing method and device, and a storage medium, which can improve the accuracy of determining the commodity distribution method.

[0005] The technical solution of this application is implemented as follows:

[0006] The present invention provides an information processing method, which includes:

[0007] Acquire multiple target products ordered within a preset time period from a target grid station;

[0008] Selecting a first group of commodities for which there is no historical distribution record corresponding to the target distribution mode from the plurality of target commodities, and determining a second group of commodities other than the first group of commodities from the plurality of target commodities;

[0009] Determining a commodity distribution mode for the first group of commodities according to commodity parameters and / or historical distribution parameters of the first group of commodities;

[0010] Determining the distribution mode of the second group of commodities as the target distribution mode;

[0011] The commodity distribution mode and the target distribution mode are determined as target recommended distribution modes for the multiple target commodities.

[0012] The present application provides an information processing device, the device comprising:

[0013] An acquisition unit, used to acquire multiple target commodities ordered within a preset time period from a target grid station;

[0014] A screening unit, configured to screen a first group of commodities for which no historical distribution records corresponding to the target distribution mode exist from the plurality of target commodities;

[0015] A determination unit is used to determine a second group of commodities among the multiple target commodities except the first group of commodities; determine a commodity distribution mode of the first group of commodities according to commodity parameters and / or historical distribution parameters of the first group of commodities; determine the distribution mode of the second group of commodities as the target distribution mode; and determine the commodity distribution mode and the target distribution mode as the target recommended distribution mode of the multiple target commodities.

[0016] The present application provides an information processing device, the device comprising:

[0017] A memory, a processor and a communication bus, wherein the memory communicates with the processor via the communication bus, and the memory stores an information processing program executable by the processor. When the information processing program is executed, the information processing method described above is executed by the processor.

[0018] An embodiment of the present application provides a storage medium having a computer program stored thereon, which is applied to an information processing device, and is characterized in that the computer program implements the above-mentioned information processing method when executed by a processor.

[0019] The embodiments of the present application provide an information processing method and device, and a storage medium. The information processing method includes: obtaining multiple target commodities ordered within a preset time period from a target grid station; screening a first group of commodities for which no historical distribution records corresponding to a target distribution mode exist from the multiple target commodities, and determining a second group of commodities other than the first group of commodities from the multiple target commodities; determining a commodity distribution mode for the first group of commodities according to commodity parameters and / or historical distribution parameters of the first group of commodities; determining the distribution mode for the second group of commodities as a target distribution mode; and determining the commodity distribution mode and the target distribution mode as the target distribution mode for the multiple target commodities. By adopting the above method to implement the scheme, the information processing device obtains multiple target commodities ordered within a preset time period from the target grid station, and screens a first group of commodities for which there is no historical broadcast record corresponding to the target broadcast method, and a second group of commodities for which there is a historical broadcast record corresponding to the target broadcast method from the multiple target commodities, thereby recommending the target broadcast method as the broadcast method for the second group of commodities, and determining the commodity broadcast method for the first group of commodities according to the commodity parameters and / or historical broadcast parameters of the first group of commodities, that is, the commodity broadcast method and the target broadcast method are recommended as the broadcast method for the multiple target commodities, and there is no need to manually determine the commodity broadcast method, thereby improving the accuracy of determining the commodity broadcast method. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A flow chart of an information processing method provided in an embodiment of the present application;

[0021] Figure 2 An exemplary frozen product distribution flow chart provided in an embodiment of the present application;

[0022] Figure 3 A schematic diagram of an exemplary recommended maintenance direct link page provided in an embodiment of the present application;

[0023] Figure 4 A schematic diagram of an exemplary direct-collar recommendation maintenance page provided in an embodiment of the present application;

[0024] Figure 5 A flowchart of an exemplary information processing method provided in an embodiment of the present application;

[0025] Figure 6 A schematic diagram of the structure of an information processing device provided in an embodiment of the present application Figure 1 ;

[0026] Figure 7 A schematic diagram of the structure of an information processing device provided in an embodiment of the present application Figure 2 . DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. It should be understood that the specific embodiments described here are only used to explain the present application and are not used to limit the present application.

[0028] The present application provides an information processing method, which is applied to an information processing device. Figure 1 A flow chart of an information processing method provided in an embodiment of the present application, such as Figure 1 As shown, the information processing method may include:

[0029] S101. Acquire multiple target commodities ordered within a preset time period from a target grid station.

[0030] An information processing method provided in an embodiment of the present application is applicable to a scenario in which a target distribution mode of multiple target commodities is determined.

[0031] In the embodiments of the present application, the information processing device can be implemented in various forms. For example, the information processing device described in the present application may include devices such as mobile phones, cameras, tablet computers, laptop computers, PDAs, portable media players (PMPs), navigation devices, wearable devices, smart bracelets, pedometers, and devices such as digital TVs, desktop computers, and servers.

[0032] In the embodiment of the present application, the information processing device is an intelligent algorithm device for obtaining commodity information of multiple target commodities ordered by users within a preset time period from the target grid station.

[0033] In the embodiment of the present application, the target grid station can be any grid station connected to the information processing device. It should be noted that in the large framework of community group buying, the grid station serves as the basic unit of terminal distribution and distribution of the sorting warehouse, responsible for the distribution and distribution of goods for hundreds of group leaders in the surrounding area.

[0034] In the embodiment of the present application, the preset time period can be one day, one hour, or other time periods. The specific preset time period can be determined based on actual conditions, and the embodiment of the present application does not limit this.

[0035] Exemplarily, the multiple target commodities ordered within the preset time period may be multiple commodities ordered by the user on the same day.

[0036] In the embodiment of the present application, the target commodities may be vegetables, fruits, meat products, daily necessities and the like. The specific target commodities may be determined according to actual conditions, and the embodiment of the present application does not limit this.

[0037] In the embodiment of the present application, when the recommended time arrives, the information processing device can obtain multiple target commodities ordered within the preset time period from the target grid station. The recommended time can be a time point configured in the information processing device, or a time point transmitted to the information processing device by other devices, or a time point obtained by the information processing device in other ways. Specifically, the way in which the information processing device obtains the recommended time can be determined according to actual conditions, and the embodiment of the present application does not limit this.

[0038] Exemplarily, the recommended time may be multiple time points, such as 13:00, 14:00, 15:00, ... 22:00, etc. The specific recommended time may be determined based on actual conditions, and the embodiments of the present application are not limited to this.

[0039] It should be noted that users can place orders for the desired goods on the shopping APP, and the mall and warehouse corresponding to the shopping APP will transmit the information of the goods ordered by the user to the grid station. When the recommended time arrives, the information processing device obtains multiple target goods ordered within the preset time period from the target grid station. For example, at 13:00, the information processing device obtains multiple target goods ordered by users within the time period (preset time period) from 22:00 yesterday to 13:00 today to determine the target distribution method of the multiple target goods; at 14:00, the information processing device obtains multiple target goods ordered by users within the time period (preset time period) from 13:00 to 14:00 today to determine the target distribution method of the multiple target goods; at 15:00, the information processing device obtains multiple target goods ordered by users within the time period (preset time period) from 14:00 to 15:00 today to determine the target distribution method of the multiple target goods; ...

[0040] It should be noted that the target distribution method can be a direct-collar distribution method. For example, slightly larger commodities such as rice, flour, grain and oil are suitable for being placed in the same large frame, rather than being distributed one by one to the frame of a certain group leader. When delivering goods, the driver takes the entire direct-collar grid (large frame) away at one time, and then distributes it to the corresponding group leader according to the group leader's demand. This distribution mode does not require the grid station's distributor to distribute, but the driver needs to distribute it during the delivery process.

[0041] In an embodiment of the present application, the target grid will first receive the group order demand data issued by the mall (OFC) and the actual outbound data of the warehouse, and then store them in the group order table and the production order table; the big data platform in the information processing device monitors the binglog changes of the group order table and the production order, and collects the product data ordered today, that is, obtains multiple target products ordered within a preset time period.

[0042] In an embodiment of the present application, the process of an information processing device obtaining multiple target commodities ordered within a preset time period from a target grid station includes: obtaining multiple initial commodities ordered within a preset time period in the target grid station; among the multiple initial commodities, excluding other commodities corresponding to the target transportation method to obtain multiple target commodities.

[0043] In the embodiment of the present application, the target transportation mode can be a refrigerated transportation mode or other transportation modes. The specific target transportation mode can be determined according to actual conditions, and the embodiment of the present application does not limit this.

[0044] It should be noted that if the target mode of transportation can be a refrigerated transportation mode, then other commodities are frozen commodities.

[0045] In the embodiment of the present application, the multiple initial commodities include other commodities.

[0046] In an embodiment of the present application, a list of other commodities may be configured in the information processing device, and multiple commodities may be compared with the commodities in the list of other commodities respectively, so as to determine the other commodities in the multiple initial commodities and eliminate the other commodities from the multiple initial commodities; the information processing device may also eliminate the other commodities corresponding to the target transportation method from the multiple initial commodities in other ways to obtain multiple target commodities; the specific implementation method may be determined according to actual conditions, and the embodiment of the present application is not limited to this.

[0047] S102: Filter a first group of commodities for which no historical distribution records corresponding to the target distribution mode exist from a plurality of target commodities, and determine a second group of commodities other than the first group of commodities from the plurality of target commodities.

[0048] In an embodiment of the present application, after the information processing device obtains multiple target products ordered within a preset time period from the target grid station, it filters out a first group of products from the multiple target products for which there is no historical distribution record corresponding to the target distribution method, and determines a second group of products from the multiple target products except the first group of products.

[0049] In an embodiment of the present application, the information processing device can filter a first group of commodities for which there is no historical distribution record corresponding to the target distribution method in the target grid station from multiple target commodities, and determine a second group of commodities other than the first group of commodities from the multiple target commodities.

[0050] In an embodiment of the present application, the information processing device records the historical broadcast records of commodities, and can search the broadcast records for commodities for which no historical broadcast records correspond to the target broadcast method, thereby determining a first group of commodities from multiple target commodities; or search the broadcast records for commodities for which no historical broadcast records correspond to the target broadcast method, thereby determining a second group of commodities from multiple target commodities.

[0051] It should be noted that the multiple target commodities include a first group of commodities and a second group of commodities.

[0052] It should be noted that the number of commodities in the first group of commodities may be one or more. The specific number of commodities in the first group of commodities may be determined according to actual conditions, and this embodiment of the present application does not limit this.

[0053] It should be noted that the number of commodities in the second group of commodities may be one or more. The specific number of commodities in the second group of commodities may be determined according to actual conditions, and this embodiment of the present application does not limit this.

[0054] S103: Determine a commodity distribution mode for the first group of commodities according to commodity parameters and / or historical distribution parameters of the first group of commodities.

[0055] In an embodiment of the present application, the information processing device selects a first group of commodities from multiple target commodities for which there is no historical broadcast record corresponding to the target broadcast method, and after determining a second group of commodities other than the first group of commodities among the multiple target commodities, the information processing device determines the commodity broadcast method of the first group of commodities based on the commodity parameters and / or historical broadcast parameters of the first group of commodities.

[0056] In the embodiment of the present application, the information processing device obtains the product parameters and / or historical distribution parameters of the first group of products before determining the product distribution method of the first group of products based on the product parameters and / or historical distribution parameters of the first group of products.

[0057] It should be noted that the commodity parameters of the first group of commodities include parameters such as the weight of each commodity in the first group of commodities and the volume of each commodity in the first group of commodities.

[0058] In an embodiment of the present application, the process of an information processing device determining a commodity distribution mode for a first group of commodities based on commodity parameters and / or historical distribution parameters of the first group of commodities includes: determining the number of grid stations for which the first group of commodities are determined as a target distribution mode from the historical distribution parameters; when the number of grid stations is greater than or equal to a preset number, determining the distribution mode for the first group of commodities as a target distribution mode; and using the target distribution mode as the commodity distribution mode.

[0059] It should be noted that the grid station refers to other grid stations connected to the information processing device except the target grid station.

[0060] In an embodiment of the present application, the preset number can be the number configured in the information processing device, the number transmitted to the information processing device by other devices, or the number obtained by the information processing device in other ways. The specific way in which the information processing device obtains the preset number can be determined based on actual conditions, and the embodiment of the present application does not limit this.

[0061] It should be noted that the preset number can also be calculated by the information processing device according to a preset determination method. Specifically: the preset number can be half of the number of other grid stations; or the information processing device determines the number of the first grid stations that broadcast the first group of goods, and half of the number of the first grid stations is the preset number; the preset number can also be determined by other methods, which can be determined according to actual conditions, and the embodiments of the present application do not limit this.

[0062] In an embodiment of the present application, the process of determining the number of grid stations for which the first group of commodities is determined as the target broadcasting mode from historical broadcasting parameters; and determining the broadcasting mode of the first group of commodities as the target broadcasting mode when the number of grid stations is greater than or equal to a preset number, can be as follows: determining the first number of grid stations for which the first commodity in the first group of commodities is determined as the target broadcasting mode from historical broadcasting parameters, and determining the broadcasting mode of the first commodity as the target broadcasting mode when the first number is greater than or equal to the preset number; determining the second number of grid stations for which the second commodity in the first group of commodities is determined as the target broadcasting mode from historical broadcasting parameters, and determining the broadcasting mode of the second commodity as the target broadcasting mode when the second number is greater than or equal to the preset number; ...; determining the last number of grid stations for which the last commodity in the first group of commodities is determined as the target broadcasting mode from historical broadcasting parameters, and determining the broadcasting mode of the last commodity as the target broadcasting mode when the last number is greater than or equal to the preset number; thereby determining the broadcasting mode of the first group of commodities as the target broadcasting mode.

[0063] In an embodiment of the present application, after the information processing device determines the number of grid stations for which the first group of commodities is determined as the target broadcasting mode, if the number of grid stations is less than a preset number, the commodity parameters are compared with a preset commodity parameter threshold; if the commodity parameters are greater than or equal to the preset commodity parameter threshold, the broadcasting mode of the first group of commodities is determined to be the target broadcasting mode; and the target broadcasting mode is used as the commodity broadcasting mode.

[0064] In the embodiment of the present application, when the commodity parameters include parameters such as the weight of the commodity and the volume of the commodity, the preset commodity parameter thresholds also include a preset weight threshold and a preset volume threshold.

[0065] It should be noted that the preset commodity parameter threshold can be a threshold configured in the information processing device, or a threshold transmitted to the information processing device by other devices, or a threshold obtained by the information processing device in other ways. The specific way in which the information processing device obtains the preset commodity parameter threshold can be determined based on actual conditions, and the embodiments of the present application are not limited to this.

[0066] In an embodiment of the present application, the information processing device may compare the product parameters of each product in the first group of products with the preset product parameter threshold value. When the product parameters of each product are greater than or equal to the preset product parameter threshold value, the distribution mode of each product is determined to be the target distribution mode.

[0067] In an embodiment of the present application, the process of the information processing device comparing the commodity parameters with the preset commodity parameter thresholds includes: obtaining a group of volumes and a group of weights corresponding to the first group of commodities from the commodity parameters; comparing a group of volumes with the preset volume thresholds in the preset commodity parameter thresholds; comparing a group of weights with the preset weight thresholds in the preset commodity parameter thresholds; when a group of volumes are all greater than or equal to the preset volume threshold or a group of weights are all greater than or equal to the preset weight threshold, determining that the commodity parameters are greater than or equal to the preset commodity parameter threshold; when a group of volumes are all less than the preset volume threshold and a group of weights are all less than the preset weight threshold, determining that the commodity parameters are less than the preset commodity parameter threshold.

[0068] In the embodiment of the present application, one commodity corresponds to one volume and one weight, and a group of commodities corresponds to one group of volumes and one group of weights.

[0069] In an embodiment of the present application, after the information processing device compares the product parameters with the preset product parameter threshold, when the product parameters are less than the preset product parameter threshold, the information processing device obtains the historical recommended distribution method of the first group of products from the historical distribution parameters; when the historical recommended distribution method is the target distribution method, the distribution method of the first group of products is determined to be the target distribution method; and the target distribution method is used as the product distribution method.

[0070] In an embodiment of the present application, when it is determined that the distribution method for the first group of commodities has historically been determined by the information processing device and recommended to the target grid station as the target distribution method (historically recommended distribution method), but the target grid station distributes the first group of commodities in a non-target distribution method for some reason, the information processing device determines that the distribution method for the first group of commodities is the target distribution method.

[0071] In the embodiment of the present application, when the historically recommended sowing method is a non-target sowing method (ie, a sowing sowing method), the sowing method of the first group of commodities is determined to be a non-target sowing method.

[0072] It should be noted that the sowing and distribution method can be: all the sowing products under a group order are placed in the same box, and the distributor places all the sowing products of the group in the box in sequence, and the driver can hand all the boxes to a group leader when delivering. The sowing process of this distribution mode will be a little more complicated, but the driver will deliver the goods very quickly.

[0073] S104: Determine the distribution mode of the second group of commodities as the target distribution mode.

[0074] In an embodiment of the present application, the information processing device selects a first group of commodities from multiple target commodities for which there is no historical broadcast record corresponding to the target broadcast method, and after determining a second group of commodities other than the first group of commodities among the multiple target commodities, determines that the broadcast method of the second group of commodities is the target broadcast method.

[0075] In an embodiment of the present application, the information processing device records the distribution records of historical commodities, and the second group of commodities are commodities for which there are historical broadcast records corresponding to the target broadcast method in the broadcast records. In this case, each commodity in the second group of commodities can be directly broadcast according to the target broadcast method, that is, the broadcast method of the second group of commodities is determined to be the target broadcast method.

[0076] S105: Determine the commodity distribution mode and the target distribution mode as a target recommended distribution mode for multiple target commodities.

[0077] In an embodiment of the present application, after the information processing device determines the distribution mode of the second group of commodities as the target distribution mode and determines the commodity distribution mode of the first group of commodities, the commodity distribution mode and the target distribution mode are determined as the target recommended distribution mode for multiple target commodities.

[0078] In an embodiment of the present application, the process in which the information processing device determines the product distribution method and the target distribution method as the target recommended distribution method for multiple target products also includes: determining the distribution method of other products as the target distribution method; and using the target distribution method as the target recommended distribution method.

[0079] It should be noted that the distribution mode of other products as the target distribution mode may be a rule configured in the information processing device, that is, when it is determined that the multiple initial products include other products, the distribution mode of the other products is directly determined as the target distribution mode.

[0080] In an embodiment of the present application, after determining that the distribution method of other commodities is the target distribution method and using the target distribution method as the target recommended distribution method, the information processing device recommends the distribution method of other commodities to the target grid station as the target recommended distribution method, so that the grid station can distribute other commodities according to the target recommended distribution method.

[0081] In the embodiment of the present application, the number of other commodities may be one or more. The specific number of other commodities may be determined according to actual conditions, and the embodiment of the present application does not limit this.

[0082] For example, Figure 2As shown: the information processing device obtains (receives) the demand data sent by OFC (mall) and the delivery data of the warehouse from the target grid station (in the target grid station, obtains multiple initial commodities ordered within a preset time period); determines whether it is a frozen product (determines whether the multiple initial commodities include other commodities corresponding to the target transportation method); if so (i.e., other commodities are included), generates direct-lead distribution tasks for other commodities (determines that the distribution method is the target distribution method), and removes other commodities corresponding to the target transportation method from the multiple initial commodities to obtain multiple target commodities, determines the target recommended distribution method for the multiple target commodities through the information processing method, and generates distribution tasks for the multiple target commodities; if not (i.e., other commodities are not included), generates a sowing distribution task (determines that the distribution method is a non-target distribution method), or determines the target recommended distribution method for the multiple initial commodities through the information processing method, and generates distribution tasks for the multiple initial commodities; then, the distribution operation is performed on the multiple initial commodities according to the distribution tasks (direct-lead distribution tasks and / or sowing distribution tasks), and after the distribution, the driver picks up the goods (multiple initial commodities) and delivers them to the group leader.

[0083] In an embodiment of the present application, after the information processing device determines the product distribution method and the target distribution method as the target recommended distribution method for multiple target products, it will also recommend the distribution method of multiple target products to the target grid station as the target distribution method, so that the grid station can distribute the multiple target products according to the target distribution method.

[0084] In an embodiment of the present application, after the information processing device recommends to the target grid station that the distribution method of multiple target commodities and other commodities is the target distribution method, the staff of the target grid station can directly distribute the multiple target commodities and other commodities according to the recommended distribution method (i.e., the target distribution method), or can adjust the distribution method of some of the multiple target commodities and other commodities to a non-target distribution method (which can be a sowing distribution method) according to actual conditions, and then distribute the part of the commodities according to the non-target distribution method, and distribute the remaining commodities among the multiple target commodities and other commodities except some of the commodities according to the target distribution method.

[0085] In the embodiment of the present application, an exemplary schematic diagram of a recommended maintenance direct service is as follows: Figure 3 As shown: including operation data, when the operation data is clicked, the online product maintenance is displayed. On the online product maintenance page, there are many products including paper-shell walnuts, drunkard peanuts, yellow lemons, pork ribs, spicy beef, blood sausage, etc. The staff of the target grid station can modify the distribution method of these products on this page, and finally complete the distribution process of these products according to the modified distribution method.

[0086] In the embodiment of the present application, an exemplary direct-collar recommendation maintenance page diagram is as follows: Figure 4As shown: A newly added product (the first group of goods) is displayed in the upper right corner of the page. After clicking on the newly added product, the distribution method of the newly added product can be directly displayed. The product information that has not been maintained as a direct-collection product will be displayed in the lower half of the page (the product whose distribution method determined by the display information processing device is a non-target distribution method).

[0087] In the embodiment of the present application, an exemplary information processing method is as follows: Figure 5As shown in the figure: After the grid station receives the group order demand data and the actual outbound data from the OFC (mall, i.e., shopping APP), it will be stored in the group order table and the production order table. The big data platform monitors the changes in the binglog of the group order table and the production order, collects the commodity data (multiple initial commodities) ordered today, and drops them to the big data platform. The big data platform removes other commodities corresponding to the target transportation method from the multiple initial commodities, and obtains multiple target commodities. The process of the intelligent algorithm platform calculating which products need to be maintained as direct delivery includes: the intelligent algorithm platform obtains the daily incremental product information from the big data platform (screens the first group of products that do not have historical distribution records corresponding to the target distribution method from multiple target products); the algorithm platform first calculates whether the product (the first group of products) has been maintained as direct delivery by most grid stations (more than 1 / 2 of the grid stations). If everyone has maintained direct delivery (determine the number of grid stations where the first group of products is determined as the target distribution method from the historical distribution parameters; if the number of grid stations is greater than or equal to the preset number), then it is marked as the recommended maintenance state (determine the distribution method of the first group of products as the target distribution method); the algorithm platform then calculates the recommended maintenance state based on the volume of the product. and weight, calculate whether the order has reached the threshold. Oversized or overweight goods should be automatically maintained as direct delivery (when the number of grid stations is less than the preset number and the product parameters are greater than or equal to the preset product parameter threshold, the distribution method of the first group of goods is determined to be the target distribution method); the algorithm platform will also calculate whether the product has been maintained as direct delivery in the past, but was later changed to sowing. If there is such a record, it will also recommend maintaining direct delivery (when the number of grid stations is less than the preset number and the product parameters are less than the preset product parameter threshold, the historical recommended distribution method of the first group of goods is obtained from the historical distribution parameters; when the historical recommended distribution method is the target distribution method, the distribution method of the first group of goods is determined to be the target distribution method). After recommending the distribution method of multiple target goods to the target grid station as the target distribution method, the target grid station stores the list of direct delivery goods that need to be recommended. The operator maintains direct delivery according to the recommendation (so that the grid station can distribute multiple target goods according to the target distribution method). For frozen products, all can be directly recommended as direct delivery without calculation (determining the distribution method of other products as the target distribution method). The distribution tasks are generated at 23:00 every night, and the data for recommended frozen products is recommended at 13:00 every day. The grid station operators have sufficient time to maintain direct delivery; grid station operators can choose to batch maintain direct delivery products on the partner workstation web page; or grid station operators can also batch maintain direct delivery products based on the recommended direct delivery list in the recommendation app. After the direct delivery distribution tasks or seed distribution tasks are generated at 23:00, the grid station distributors will distribute according to the prompts of the Xingchen app, and the drivers will pick up the goods after 5:00 the next day and deliver the goods to the group leader.

[0088] It can be understood that the information processing device obtains multiple target commodities ordered within a preset time period from the target grid station, screens a first group of commodities for which there is no historical broadcast record corresponding to the target broadcast method, and a second group of commodities for which there is a historical broadcast record corresponding to the target broadcast method from the multiple target commodities, thereby recommending the target broadcast method as the broadcast method for the second group of commodities, and determining the commodity broadcast method for the first group of commodities according to the commodity parameters and / or historical broadcast parameters of the first group of commodities, that is, the commodity broadcast method and the target broadcast method are recommended as the broadcast method for the multiple target commodities, and there is no need to manually determine the commodity broadcast method, thereby improving the accuracy in determining the commodity broadcast method.

[0089] Based on the same inventive concept as the above-mentioned information processing method, the embodiment of the present application provides an information processing device 1 corresponding to an information processing method; Figure 6 A schematic diagram of the structure of an information processing device provided in an embodiment of the present application Figure 1 , the information processing device 1 may include:

[0090] An acquisition unit 11 is used to acquire a plurality of target commodities ordered within a preset time period from a target grid station;

[0091] A screening unit 12, configured to screen a first group of commodities for which no historical distribution records corresponding to the target distribution mode exist from the plurality of target commodities;

[0092] The determination unit 13 is used to determine a second group of commodities among the multiple target commodities except the first group of commodities; determine a commodity distribution mode of the first group of commodities according to commodity parameters and / or historical distribution parameters of the first group of commodities; determine the distribution mode of the second group of commodities as the target distribution mode; and determine the commodity distribution mode and the target distribution mode as the target recommended distribution mode of the multiple target commodities.

[0093] In some embodiments of the present application, the determination unit 13 is used to determine the number of grid stations for which the first group of commodities is determined as the target distribution mode from the historical distribution parameters; the grid stations are grid stations other than the target grid stations; when the number of the grid stations is greater than or equal to a preset number, the distribution mode of the first group of commodities is determined to be the target distribution mode; and the target distribution mode is used as the commodity distribution mode.

[0094] In some embodiments of the present application, the device further comprises a comparison unit;

[0095] The comparison unit is used to compare the commodity parameter with a preset commodity parameter threshold when the number of the grid stations is less than a preset number;

[0096] The determining unit 13 is configured to determine, when the commodity parameter is greater than or equal to the preset commodity parameter threshold, that the distribution mode of the first group of commodities is the target distribution mode; and use the target distribution mode as the commodity distribution mode.

[0097] In some embodiments of the present application, the acquisition unit 11 is used to acquire the historical recommended distribution mode of the first group of products from the historical distribution parameters when the product parameter is less than the preset product parameter threshold;

[0098] The determining unit 13 is configured to determine the distribution mode of the first group of commodities as the target distribution mode when the historically recommended distribution mode is the target distribution mode; and use the target distribution mode as the commodity distribution mode.

[0099] In some embodiments of the present application, the acquisition unit 11 is used to respectively acquire a set of volumes and a set of weights corresponding to the first group of commodities from the commodity parameters;

[0100] The comparison unit is used to compare the set of volumes with the preset volume thresholds in the preset commodity parameter thresholds; and to compare the set of weights with the preset weight thresholds in the preset commodity parameter thresholds;

[0101] The determination unit 13 is used to determine that the commodity parameter is greater than or equal to the preset commodity parameter threshold when the volumes of the group are all greater than or equal to the preset volume threshold or the weights of the group are all greater than or equal to the preset weight threshold; and to determine that the commodity parameter is less than the preset commodity parameter threshold when the volumes of the group are all less than the preset volume threshold and the weights of the group are all less than the preset weight threshold.

[0102] In some embodiments of the present application, the device further comprises a rejecting unit;

[0103] The acquisition unit 11 is used to acquire, in the target grid station, a plurality of initial commodities ordered within the preset time period;

[0104] The elimination unit is used to eliminate other commodities corresponding to the target transportation method from the multiple initial commodities to obtain the multiple target commodities.

[0105] In some embodiments of the present application, the determining unit 13 is used to determine the distribution mode of the other commodities as the target distribution mode; and use the target distribution mode as the target recommended distribution mode.

[0106] In some embodiments of the present application, the device further comprises a recommendation unit;

[0107] The recommendation unit is used to recommend the distribution mode of the plurality of target commodities to the target grid station as the target distribution mode, so that the grid station distributes the plurality of target commodities according to the target distribution mode.

[0108] It should be noted that, in actual applications, the above-mentioned acquisition unit 11, screening unit 12 and determination unit 13 can be implemented by a processor 14 on the information processing device 1, specifically a CPU (Central Processing Unit), an MPU (Microprocessor Unit), a DSP (Digital Signal Processing) or a field programmable gate array (FPGA); the above-mentioned data storage can be implemented by a memory 15 on the information processing device 1.

[0109] The present application also provides an information processing device 1, such as Figure 7 As shown, the information processing device 1 includes: a processor 14, a memory 15 and a communication bus 16. The memory 15 communicates with the processor 14 via the communication bus 16. The memory 15 stores a program executable by the processor 14. When the program is executed, the information processing method described above is executed by the processor 14.

[0110] In practical applications, the memory 15 may be a volatile memory, such as a random access memory (RAM); or a non-volatile memory, such as a read-only memory (ROM), a flash memory, a hard disk (HDD) or a solid-state drive (SSD); or a combination of the above types of memory, and provide instructions and data to the processor 14.

[0111] An embodiment of the present application provides a computer-readable storage medium having a computer program thereon, and when the program is executed by the processor 14, the information processing method as described above is implemented.

[0112] It can be understood that the information processing device obtains multiple target commodities ordered within a preset time period from the target grid station, screens a first group of commodities for which there is no historical broadcast record corresponding to the target broadcast method, and a second group of commodities for which there is a historical broadcast record corresponding to the target broadcast method from the multiple target commodities, thereby recommending the target broadcast method as the broadcast method for the second group of commodities, and determining the commodity broadcast method for the first group of commodities according to the commodity parameters and / or historical broadcast parameters of the first group of commodities, that is, the commodity broadcast method and the target broadcast method are recommended as the broadcast method for the multiple target commodities, and there is no need to manually determine the commodity broadcast method, thereby improving the accuracy in determining the commodity broadcast method.

[0113] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of hardware embodiments, software embodiments, or embodiments in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) that contain computer-usable program code.

[0114] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0115] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0116] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0117] The above description is only a preferred embodiment of the present application and is not intended to limit the protection scope of the present application.

Claims

1. An information processing method, characterized in that: The method comprises: Acquire multiple target products ordered within a preset time period from a target grid station; Filtering a first group of commodities for which no historical distribution records corresponding to the target distribution mode exist from the plurality of target commodities, and determining a second group of commodities other than the first group of commodities from the plurality of target commodities; Determining a commodity distribution mode for the first group of commodities according to commodity parameters and / or historical distribution parameters of the first group of commodities; Determining the distribution mode of the second group of commodities as the target distribution mode; The commodity distribution mode and the target distribution mode are determined as target recommended distribution modes for the multiple target commodities.

2. The method according to claim 1, characterized in that The determining the commodity distribution mode of the first group of commodities according to the commodity parameters and / or historical distribution parameters of the first group of commodities includes: Determine the number of grid stations for which the first group of commodities is determined as a target distribution mode from the historical distribution parameters; the grid stations are grid stations other than the target grid stations; When the number of the grid stations is greater than or equal to a preset number, determining the distribution mode of the first group of commodities as the target distribution mode; The target distribution method is used as the commodity distribution method.

3. The method according to claim 2, characterized in that After determining the number of grid stations where the first group of commodities is determined as a target distribution mode, the method further includes: When the number of the grid stations is less than a preset number, comparing the commodity parameter with a preset commodity parameter threshold; When the commodity parameter is greater than or equal to the preset commodity parameter threshold, determining the distribution mode of the first group of commodities as the target distribution mode; The target distribution method is used as the commodity distribution method.

4. The method according to claim 3, characterized in that: After comparing the commodity parameter with the preset commodity parameter threshold, the method further includes: When the commodity parameter is less than the preset commodity parameter threshold, obtaining the historical recommended distribution mode of the first group of commodities from the historical distribution parameters; When the historically recommended distribution mode is the target distribution mode, determining the distribution mode of the first group of products to be the target distribution mode; The target distribution method is used as the commodity distribution method.

5. The method according to claim 3, characterized in that: The comparing the commodity parameter with a preset commodity parameter threshold comprises: Obtaining a set of volumes and a set of weights corresponding to the first group of commodities from the commodity parameters respectively; Comparing the set of volumes with the preset volume thresholds in the preset commodity parameter thresholds respectively; Comparing the set of weights with the preset weight thresholds in the preset commodity parameter thresholds respectively; In the case where the volumes of the group are all greater than or equal to the preset volume threshold or the weights of the group are all greater than or equal to the preset weight threshold, determining that the commodity parameter is greater than or equal to the preset commodity parameter threshold; When the volumes of the group are all smaller than the preset volume threshold and the weights of the group are all smaller than the preset weight threshold, it is determined that the commodity parameter is smaller than the preset commodity parameter threshold.

6. The method according to claim 1, characterized in that The step of obtaining a plurality of target commodities ordered within a preset time period from a target grid station includes: In the target grid station, a plurality of initial commodities ordered within the preset time period are obtained; Among the multiple initial commodities, other commodities corresponding to the target transportation method are eliminated to obtain the multiple target commodities.

7. The method according to claim 6, characterized in that The step of determining the commodity distribution mode and the target distribution mode as target recommended distribution modes for the plurality of target commodities further includes: Determining the distribution mode of the other commodities as the target distribution mode; The target distribution mode is used as the target recommended distribution mode.

8. The method according to claim 1, characterized in that After determining the commodity distribution mode and the target distribution mode as target recommended distribution modes for the multiple target commodities, the method further includes: The distribution mode of the plurality of target commodities is recommended to the target grid station as the target distribution mode, so that the grid station distributes the plurality of target commodities according to the target distribution mode.

9. An information processing device, characterized in that: The device comprises: An acquisition unit, used to acquire multiple target commodities ordered within a preset time period from a target grid station; A screening unit, configured to screen a first group of commodities for which no historical distribution records corresponding to the target distribution mode exist from the plurality of target commodities; A determination unit is used to determine a second group of commodities among the multiple target commodities except the first group of commodities; determine a commodity distribution mode of the first group of commodities according to commodity parameters and / or historical distribution parameters of the first group of commodities; determine the distribution mode of the second group of commodities as the target distribution mode; and determine the commodity distribution mode and the target distribution mode as the target recommended distribution mode of the multiple target commodities.

10. An information processing device, characterized in that: The device comprises: A memory, a processor and a communication bus, wherein the memory communicates with the processor via the communication bus, the memory stores an information processing program executable by the processor, and when the information processing program is executed, the method according to any one of claims 1 to 8 is performed by the processor.

11. A storage medium having a computer program stored thereon, applied to an information processing device, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

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