An information processing method and device, and a storage medium

Abstract

Embodiments of the present application disclose an information processing method and device, and a storage medium, including: obtaining, from a target grid station, a plurality of target commodities ordered in a preset time period; selecting, from the plurality of target commodities, a first group of commodities for which there is no historical distribution record corresponding to a target distribution mode, and determining a second group of commodities in the plurality of target commodities except the first group of commodities; determining, according to commodity parameters and / or historical distribution parameters of the first group of commodities, a commodity distribution mode of the first group of commodities; determining that a distribution mode of the second group of commodities is the 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] This application relates to the field of information processing technology, and in particular to an information processing method, apparatus, and storage medium. Background Technology

[0002] With the development of internet technology, users can buy vegetables, cold drinks and other daily necessities on various apps. This purchasing method usually involves users placing an order on the app on the first day, the grid station receiving the ordered goods and distributing them, and the goods being delivered to the group leader in the user's area on the second day, where the user can pick up the ordered goods.

[0003] In related technologies, grid station staff determine the distribution method for ordered goods based on their distribution experience, and then distribute the ordered goods according to that distribution method. However, when there are many ordered goods or the grid station staff have limited distribution experience, it is impossible to determine the distribution method for each ordered goods, which reduces the accuracy of determining the distribution method for goods. Summary of the Invention

[0004] To address the aforementioned technical problems, embodiments of this application aim to provide an information processing method, apparatus, and storage medium that can improve the accuracy of determining the distribution method for goods.

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

[0006] This application provides an information processing method, the information processing method including:

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

[0008] From the plurality of target products, select the first group of products that do not have historical distribution records corresponding to the target distribution method, and determine the second group of products other than the first group of products from the plurality of target products;

[0009] Based on the product parameters and / or historical distribution parameters of the first group of products, determine the product distribution method of the first group of products;

[0010] The distribution method for the second group of goods is determined to be the target distribution method;

[0011] The product distribution method and the target distribution method are determined as the target recommended distribution method for the multiple target products.

[0012] This application provides an information processing apparatus, the apparatus comprising:

[0013] The acquisition unit is used to acquire multiple target products ordered within a preset time period from the target grid station;

[0014] The filtering unit is used to filter the first group of products from the plurality of target products that do not have historical distribution records corresponding to the target distribution method;

[0015] The determining unit is configured to: determine a second group of products among the plurality of target products, excluding the first group of products; determine 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; determine the distribution method of the second group of products as the target distribution method; and determine the product distribution method and the target distribution method as the target recommended distribution method for the plurality of target products.

[0016] This application provides an information processing apparatus, the apparatus comprising:

[0017] The system includes a memory, a processor, and a communication bus. The memory communicates with the processor via the communication bus. The memory stores information processing programs that the processor can execute. When the information processing programs are executed, the processor performs the information processing method described above.

[0018] This application provides a storage medium storing a computer program for use in an information processing device, characterized in that the computer program, when executed by a processor, implements the information processing method described above.

[0019] This application provides an information processing method, apparatus, and storage medium. The information processing method includes: obtaining multiple target products ordered within a preset time period from a target grid station; filtering out a first group of products from the multiple target products that do not have historical distribution records corresponding to a target distribution method, and determining a second group of products from the multiple target products other than the first group of products; 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; determining the distribution method of the second group of products as the target distribution method; and determining the product distribution method and the target distribution method as the target distribution method for the multiple target products. Using the above method, the information processing device obtains multiple target products ordered within a preset time period from the target grid station. It then filters out a first group of products that do not have historical distribution records corresponding to the target distribution method, and a second group of products that do have historical distribution records corresponding to the target distribution method. The target distribution method is then recommended as the distribution method for the second group of products. Based on the product parameters and / or historical distribution parameters of the first group of products, the distribution method for the first group of products is determined. In other words, the product distribution method and the target distribution method are recommended as the distribution method for the multiple target products. This eliminates the need for manual determination of the product distribution method, improving the accuracy of determining the product distribution method. Attached Figure Description

[0020] Figure 1 A flowchart of an information processing method provided in an embodiment of this application;

[0021] Figure 2 An exemplary flowchart of frozen product distribution is provided for embodiments of this application;

[0022] Figure 3 An exemplary recommended maintenance direct access page diagram provided for embodiments of this application;

[0023] Figure 4 A schematic diagram of an exemplary direct recommendation maintenance page provided for embodiments of this application;

[0024] Figure 5 A flowchart illustrating an exemplary information processing method provided in this application embodiment;

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

[0026] Figure 7 A schematic diagram of the composition structure of an information processing device provided in this application embodiment. Figure 2 . Detailed Implementation

[0027] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.

[0028] This application provides an information processing method, which is applied to an information processing device. Figure 1 A flowchart of an information processing method provided in an embodiment of this application is shown below. Figure 1 As shown, information processing methods may include:

[0029] S101. Obtain multiple target products ordered within a preset time period from the target grid station.

[0030] The information processing method provided in this application embodiment is applicable to scenarios where a target distribution method for multiple target products is determined.

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

[0032] In this embodiment of the application, the information processing device is an intelligent algorithm device that includes a device for obtaining product information of multiple target products ordered by a user within a preset time period from a target grid station.

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

[0034] In this embodiment of the application, the preset time period can be one day, one hour, or other time periods. The specific preset time period can be determined according to the actual situation, and this embodiment of the application does not limit it.

[0035] For example, multiple target products ordered within a preset time period can be multiple products ordered by the user on the same day.

[0036] In this embodiment of the application, the target commodity can be vegetables, fruits, meat products, daily necessities, etc. The specific target commodity can be determined according to the actual situation, and this embodiment of the application does not limit it.

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

[0038] For example, the recommended time can be multiple time points, such as 13:00, 14:00, 15:00, ... 22:00, etc. The specific recommended time can be determined according to the actual situation, and this application embodiment does not limit it in this way.

[0039] It should be noted that users can place orders for desired goods through the shopping app. The corresponding online store and warehouse of the shopping app will transmit the order information to the grid station. When the recommended time arrives, the information processing device will retrieve multiple target goods ordered within a preset time period from the target grid station. For example, at 1 PM, the information processing device will retrieve multiple target goods ordered by users within the time period from 10 PM yesterday to 1 PM today (the preset time period) to determine the target distribution method for multiple target goods; at 2 PM, the information processing device will retrieve multiple target goods ordered by users within the time period from 1 PM to 2 PM today (the preset time period) to determine the target distribution method for multiple target goods; at 3 PM, the information processing device will retrieve multiple target goods ordered by users within the time period from 2 PM to 3 PM today (the preset time period) to determine the target distribution method for multiple target goods; and so on.

[0040] It should be noted that the target distribution method can be a direct-receive distribution method. For example, larger items such as rice, flour, and cooking oil are suitable for being placed in the same large frame, rather than being distributed one by one to a specific group leader's frame. When delivering goods, the driver takes the entire direct-receive frame (large frame) at once, and then distributes it to the corresponding group leaders according to their needs. This distribution mode does not require distribution personnel at the grid station, but the driver still needs to distribute the goods during the delivery process.

[0041] In this embodiment, the target grid first receives the group order demand data and the actual warehouse outbound data issued by the marketplace (OFC), and then stores them in the group order table and the production order table; the big data platform in the information processing device collects the product data ordered today by monitoring the binlog changes of the group order table and the production order, that is, obtains multiple target products ordered within a preset time period.

[0042] In this embodiment of the application, the process by which the information processing device obtains multiple target products ordered within a preset time period from the target grid station includes: obtaining multiple initial products ordered within the preset time period from the target grid station; and removing other products corresponding to the target transportation method from the multiple initial products to obtain multiple target products.

[0043] In this embodiment of the application, the target transportation method can be refrigerated transportation or other transportation methods. The specific target transportation method can be determined according to the actual situation, and this embodiment of the application does not limit it.

[0044] It should be noted that if the target transportation method can be refrigerated transportation, then other goods are frozen goods.

[0045] In the embodiments of this application, other goods are included among the multiple initial goods.

[0046] In this embodiment, the information processing device may be configured with a list of other goods, which can compare multiple goods with goods in other goods lists to identify other goods among multiple initial goods and remove those other goods from the multiple initial goods; the information processing device may also remove other goods corresponding to the target transportation mode from multiple initial goods in other ways to obtain multiple target goods; the specific implementation method can be determined according to the actual situation, and this embodiment does not limit it.

[0047] S102. Select the first group of products from multiple target products that do not have historical distribution records corresponding to the target distribution method, and determine the second group of products from multiple target products other than the first group of products.

[0048] In this embodiment of the application, after the information processing device obtains multiple target products ordered within a preset time period from the target grid station, it filters out the first group of products that do not have historical distribution records corresponding to the target distribution method from the multiple target products, and determines the second group of products other than the first group of products from the multiple target products.

[0049] In this embodiment of the application, the information processing device can filter out a first group of products from multiple target products, where there are no historical distribution records corresponding to the target distribution method in the target grid station, and determine a second group of products other than the first group of products from the multiple target products.

[0050] In this embodiment of the application, the information processing device records the distribution records of historical products. It can search the distribution records for products that do not have historical distribution records corresponding to the target distribution method, thereby determining the first group of products among multiple target products; or it can search the distribution records for products that have historical distribution records corresponding to the target distribution method, thereby determining the second group of products among multiple target products.

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

[0052] It should be noted that the number of goods in the first group can be one or more, and the specific number of goods in the first group can be determined according to the actual situation. This application embodiment does not limit this.

[0053] It should be noted that the number of goods in the second group can be one or more, and the specific number of goods in the second group can be determined according to the actual situation. This application embodiment does not limit this.

[0054] S103. Determine the product distribution method for the first group of products based on the product parameters and / or historical distribution parameters of the first group of products.

[0055] In this embodiment of the application, the information processing device filters out a first group of products from multiple target products that do not have historical distribution records corresponding to the target distribution method, and determines a second group of products other than the first group of products from the multiple target products. Then, it determines 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.

[0056] In this embodiment of the application, before the information processing device determines 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, it will first obtain the product parameters and / or historical distribution parameters of the first group of products.

[0057] It should be noted that the product parameters of the first group of products include the weight and volume of each product in the first group of products.

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

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

[0060] In this embodiment, the preset quantity can be the quantity configured in the information processing device, the quantity transmitted to the information processing device by other devices, or the quantity obtained by the information processing device in other ways. The specific way in which the information processing device obtains the preset quantity can be determined according to the actual situation, and this embodiment does not limit it.

[0061] It should be noted that the preset quantity can also be calculated by the information processing device according to a preset determination method. Specifically: the preset quantity can be half the number of other grid stations; or the information processing device determines the number of the first grid stations that have distributed the first group of goods, and half of the number of the first grid stations is the preset quantity; the preset quantity can also be determined by other methods, and the specific determination can be made according to the actual situation. This application embodiment does not limit this.

[0062] In this embodiment of the application, the process of determining the number of grid stations in which the first group of goods is identified as the target distribution method from historical distribution parameters, and determining the distribution method of the first group of goods as the target distribution method when the number of grid stations is greater than or equal to a preset number, can be as follows: First, determine the first number of grid stations in which the first goods in the first group of goods is identified as the target distribution method from historical distribution parameters, and determine the first goods distribution method as the target distribution method when the first number is greater than or equal to a preset number; Second, determine the second number of grid stations in which the second goods in the first group of goods is identified as the target distribution method from historical distribution parameters, and determine the second goods distribution method as the target distribution method when the second number is greater than or equal to a preset number; ...; Third, determine the last number of grid stations in which the last goods in the first group of goods is identified as the target distribution method from historical distribution parameters, and determine the last goods distribution method as the target distribution method when the last number is greater than or equal to a preset number; thereby determining the distribution method of the first group of goods as the target distribution method.

[0063] In this embodiment of the application, after the information processing device determines the number of grid stations for the first group of goods to be determined as the target distribution method, if the number of grid stations is less than a preset number, the product parameters are compared with a preset product parameter threshold; if 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 as the target distribution method; and the target distribution method is used as the product distribution method.

[0064] In this embodiment of the application, when the product parameters include parameters such as the weight and volume of the product, the preset product parameter threshold also includes a preset weight threshold and a preset volume threshold.

[0065] It should be noted that the preset product parameter threshold can be a threshold configured in the information processing device, a threshold transmitted to the information processing device from 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 product parameter threshold can be determined according to the actual situation, and this application embodiment does not limit it in this regard.

[0066] In this embodiment of the application, the information processing device can compare the product parameters of each product in the first group of products with a preset product parameter threshold. If the product parameters of each product are greater than or equal to the preset product parameter threshold, the distribution method of each product is determined as the target distribution method.

[0067] In this embodiment, the process by which the information processing device compares product parameters with preset product parameter thresholds includes: obtaining a set of volumes and a set of weights corresponding to the first set of products from the product parameters; comparing the set of volumes with preset volume thresholds in the preset product parameter thresholds; comparing the set of weights with preset weight thresholds in the preset product parameter thresholds; determining that the product parameters are greater than or equal to the preset product parameter thresholds when all sets of volumes are greater than or equal to the preset volume thresholds or all sets of weights are greater than or equal to the preset weight thresholds; and determining that the product parameters are less than the preset product parameter thresholds when all sets of volumes are less than the preset volume thresholds and all sets of weights are less than the preset weight thresholds.

[0068] In the embodiments of this application, one product corresponds to one volume and one weight, and a group of products corresponds to a group of volumes and a group of weights.

[0069] In this embodiment, after comparing the product parameters with a 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 if the product parameters are less than the preset product parameter threshold; if the historical recommended distribution method is the target distribution method, the distribution method of the first group of products is determined as the target distribution method; and the target distribution method is used as the product distribution method.

[0070] In this embodiment of the application, if it is determined that the distribution method of the first group of goods was historically 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 goods according to a non-target distribution method for some reason, the information processing device determines the distribution method of the first group of goods as the target distribution method.

[0071] In this embodiment of the application, if the historical recommended distribution method is a non-target distribution method (i.e., a seeding distribution method), then the distribution method of the first group of commodities is determined to be a non-target distribution method.

[0072] It should be noted that the seeding and distribution method can be as follows: all seeding products under a group order are placed in the same box, and the distribution coordinator places all seeding products of their group into the box in sequence. When the driver delivers the goods, they simply hand the box to a group leader. This distribution method is a bit more complicated, but the driver's delivery speed is much faster.

[0073] S104. Determine the distribution method of the second group of goods as the target distribution method.

[0074] In this embodiment of the application, the information processing device filters out a first group of products from multiple target products that do not have historical distribution records corresponding to the target distribution method, and after determining a second group of products other than the first group of products among the multiple target products, the distribution method of the second group of products is determined to be the target distribution method.

[0075] In this embodiment of the application, the information processing device records the distribution records of historical products. The second group of products consists of products for which there are historical distribution records corresponding to the target distribution method in the distribution records. Therefore, each product in the second group of products can be directly distributed according to the target distribution method, that is, the distribution method of the second group of products is determined to be the target distribution method.

[0076] S105. Determine the product distribution method and target distribution method as the target recommendation distribution method for multiple target products.

[0077] In this embodiment of the application, after the information processing device determines that the distribution method of the second group of goods is the target distribution method and determines the distribution method of the first group of goods, it determines the distribution method of goods and the target distribution method as the target recommended distribution method for multiple target goods.

[0078] In this embodiment of the application, the process by 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 further 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 method for other goods, which is the target distribution method, can be a rule configured in the information processing device. That is, if it is determined that other goods are included among multiple initial goods, then the distribution method for those other goods is directly determined as the target distribution method.

[0080] In this embodiment of the application, after determining the distribution method of other products as 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 products to the target grid station as the target recommended distribution method, so that the grid station can distribute other products according to the target recommended distribution method.

[0081] In this embodiment of the application, the quantity of other goods can be one or more, and the specific quantity of other goods can be determined according to the actual situation. This embodiment of the application does not limit this.

[0082] For example, such as Figure 2As shown: The information processing device obtains (receives) demand data and warehouse shipment data sent by OFC (Mall) from the target grid station (obtaining multiple initial products ordered within a preset time period from the target grid station); determines whether they are frozen products (determining whether other products corresponding to the target transportation method are included among the multiple initial products); if yes (i.e., including other products), it generates direct delivery and distribution tasks for other products (determining the distribution method to be the target distribution method), and removes other products corresponding to the target transportation method from the multiple initial products to obtain multiple target products. It then determines the target recommended distribution method for the multiple target products through the information processing method and generates distribution tasks for the multiple target products; if no (i.e., not including other products), it generates a sowing distribution task (determining the distribution method to be a non-target distribution method), or the information processing method determines the target recommended distribution method for the multiple initial products and generates distribution tasks for the multiple initial products; then, it performs distribution operations on the multiple initial products according to the distribution tasks (direct delivery distribution tasks and / or sowing distribution tasks). After distribution, the driver picks up the goods (multiple initial products) and delivers them to the team leader.

[0083] In this embodiment of the 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 methods of multiple target products as target distribution methods to the target grid station, so that the grid station can distribute multiple target products according to the target distribution method.

[0084] In this embodiment of the application, after the information processing device recommends a distribution method for multiple target products and other products to the target grid station as the target distribution method, the staff of the target grid station can directly distribute the multiple target products and other products according to the recommended distribution method (i.e., the target distribution method). Alternatively, they can adjust the distribution method of some products among the multiple target products and other products to a non-target distribution method (which can be a seed distribution method) according to the actual situation, and then distribute the non-target distribution method for those products. The remaining products among the multiple target products and other products, excluding some products, are distributed according to the target distribution method.

[0085] In this application embodiment, an exemplary schematic diagram of the recommended maintenance direct access service is shown below. Figure 3 As shown: This includes operational data. When the operational data is clicked, the "Product Distribution Maintenance" page is displayed. On the Product Distribution Maintenance page, multiple products are displayed, including paper-shelled walnuts, 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 this application embodiment, an exemplary direct referral maintenance page diagram is shown as follows: Figure 4As shown: The upper right corner of this page displays the newly added product (the first group of products). After clicking on the newly added product, the distribution method of the newly added product will be displayed directly. The lower half of the page will display the product information that has not been maintained as a direct-receive product (products whose distribution method determined by the information processing device is not the target distribution method).

[0087] In this application embodiment, an exemplary information processing method is as follows: Figure 5As shown: After receiving group order demand data and actual warehouse outbound data from OFC (the online marketplace, i.e., the shopping app), the grid station stores them in the group order table and the production order table. The big data platform monitors changes in the binlog of the group order table and the production order, collects the product data of today's orders (multiple initial products), and uploads it to the big data platform. The big data platform then removes other products corresponding to the target transportation method from the multiple initial products to obtain multiple target products. The intelligent algorithm platform calculates which products need to be maintained as direct distribution items. This process includes: the intelligent algorithm platform obtains daily incremental product information from the big data platform (selecting the first group of products from multiple target products that do not have historical distribution records corresponding to the target distribution method); the algorithm platform first calculates whether the product (the first group of products) has been maintained as direct distribution by most grid stations (more than 1 / 2 of the grid stations). If everyone has maintained direct distribution (determining the number of grid stations that have identified the first group of products as the target distribution method from historical distribution parameters; if the number of grid stations is greater than or equal to a preset number), then it is marked as a recommended maintenance state (determining the distribution method of the first group of products as the target distribution method); the algorithm platform then determines the product's volume... The algorithm calculates whether the order has reached the threshold based on weight and quantity. Items that are too large or too heavy should be automatically maintained as direct delivery (when the number of grid stations is less than the preset quantity and the product parameters are greater than or equal to the preset product parameter threshold, the distribution method for the first group of products is determined as the target distribution method). The algorithm platform also calculates whether the product has been maintained as direct delivery in the past, but was subsequently changed to seeding. If there is such a record, it will also recommend maintaining direct delivery (when the number of grid stations is less than the preset quantity and the product parameters are less than the preset product parameter threshold, the historical recommended distribution method for the first group of products is obtained from the historical distribution parameters; if the historical recommended distribution method is the target distribution method, the distribution method for the first group of products is determined as the target distribution method). After recommending the distribution method of multiple target products as the target distribution method to the target grid station, the target grid station stores the list of direct delivery products to be recommended. Operators maintain direct delivery based on the recommendations (so that grid stations can distribute multiple target products according to the target distribution method). For frozen products, all products can be directly recommended and maintained as direct delivery; no calculation is needed (to determine the distribution method of other products as the target distribution method). Distribution tasks are generated starting at 11 PM each night, and data for recommended frozen products is recommended starting at 1 PM daily. This gives grid station operators ample time to maintain direct distribution. Grid station operators can choose to maintain direct distribution products in batches on the partner workbench web page, or they can maintain direct distribution products in batches based on the recommended direct distribution list in the recommendation app. After the direct distribution or seeding distribution tasks are generated at 11 PM, grid station distributors distribute the products according to the prompts in the Xingchen app. Drivers pick up the goods after 5 AM the following day and deliver them to the group leader.

[0088] Understandably, the information processing device retrieves multiple target products ordered within a preset time period from the target grid station, filters out a first group of products that do not have historical distribution records corresponding to the target distribution method, and a second group of products that do have historical distribution records corresponding to the target distribution method. The device then recommends the target distribution method as the distribution method for the second group of products. Based on the product parameters and / or historical distribution parameters of the first group of products, the device determines the product distribution method for the first group of products. In other words, the product distribution method and the target distribution method are recommended as the distribution method for the multiple target products. This eliminates the need for manual determination of the product distribution method, improving the accuracy of determining the product distribution method.

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

[0090] The acquisition unit 11 is used to acquire multiple target products ordered within a preset time period from the target grid station;

[0091] The filtering unit 12 is used to filter the first group of products from the plurality of target products that do not have historical distribution records corresponding to the target distribution method;

[0092] The determining unit 13 is used to determine a second group of products other than the first group of products among the plurality of target products; determine the product distribution method of the first group of products according to the product parameters and / or historical distribution parameters of the first group of products; determine the distribution method of the second group of products as the target distribution method; and determine the product distribution method and the target distribution method as the target recommended distribution method for the plurality of target products.

[0093] In some embodiments of this application, the determining unit 13 is used to determine, from the historical distribution parameters, the number of grid stations for which the first group of goods is determined as the target distribution method; the grid stations are other grid stations besides the target grid station; if the number of grid stations is greater than or equal to a preset number, the distribution method of the first group of goods is determined as the target distribution method; and the target distribution method is used as the distribution method of the goods.

[0094] In some embodiments of this application, the apparatus further includes a comparison unit;

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

[0096] The determining unit 13 is used to determine the distribution method of the first group of products as the target distribution method when the product parameters are greater than or equal to the preset product parameter threshold; and to use the target distribution method as the product distribution method.

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

[0098] The determining unit 13 is used to determine the distribution method of the first group of products as the target distribution method when the historical recommended distribution method is the target distribution method; and to use the target distribution method as the product distribution method.

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

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

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

[0102] In some embodiments of this application, the apparatus further includes a rejection unit;

[0103] The acquisition unit 11 is used to acquire multiple initial products ordered within the preset time period from the target grid station.

[0104] The elimination unit is used to eliminate other goods corresponding to the target transportation mode from the plurality of initial goods to obtain the plurality of target goods.

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

[0106] In some embodiments of this application, the apparatus further includes a recommendation unit;

[0107] The recommendation unit is used to recommend the distribution method of the 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.

[0108] It should be noted that, in practical applications, the acquisition unit 11, the filtering unit 12, and the determination unit 13 mentioned above can be implemented by the processor 14 on the information processing device 1, specifically by a CPU (Central Processing Unit), MPU (Microprocessor Unit), DSP (Digital Signal Processor), or FPGA (Field Programmable Gate Array), etc.; the data storage mentioned above can be implemented by the memory 15 on the information processing device 1.

[0109] This application embodiment 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 through the communication bus 16. The memory 15 stores programs executable by the processor 14. When the program is executed, the processor 14 performs the information processing method as described above.

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

[0111] This application provides a computer-readable storage medium having a computer program thereon, which, when executed by a processor 14, implements the information processing method as described above.

[0112] Understandably, the information processing device retrieves multiple target products ordered within a preset time period from the target grid station, filters out a first group of products that do not have historical distribution records corresponding to the target distribution method, and a second group of products that do have historical distribution records corresponding to the target distribution method. The device then recommends the target distribution method as the distribution method for the second group of products. Based on the product parameters and / or historical distribution parameters of the first group of products, the device determines the product distribution method for the first group of products. In other words, the product distribution method and the target distribution method are recommended as the distribution method for the multiple target products. This eliminates the need for manual determination of the product distribution method, improving the accuracy of determining the product distribution method.

[0113] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware aspects. Furthermore, this application can take 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) containing computer-usable program code.

[0114] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0115] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0116] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

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

Claims

1. An information processing method, characterized in that, The method includes: Retrieve multiple target products ordered within a preset time period from the target grid station; From the plurality of target products, select the first group of products that do not have historical distribution records corresponding to the target distribution method, and determine the second group of products other than the first group of products from the plurality of target products; Based on the product parameters and / or historical distribution parameters of the first group of products, determine the product distribution method of the first group of products; The distribution method for the second group of goods is determined to be the target distribution method; The product distribution method and the target distribution method are determined as the target recommended distribution method for the multiple target products; The step of determining the product distribution method for the first group of products based on the product parameters and / or historical distribution parameters of the first group of products includes: From the historical distribution parameters, determine the number of grid stations for which the first group of goods is identified as the target distribution method; the grid stations are all other grid stations besides the target grid station. If the number of grid stations is greater than or equal to the preset number, the distribution method of the first group of goods is determined to be the target distribution method; The target distribution method is used as the product distribution method; If the number of grid stations is less than the preset number, the product distribution method is determined based on the comparison between the product parameters and the preset product parameter threshold.

2. The method according to claim 1, characterized in that, After determining the number of grid stations for which the first group of goods is identified as the target distribution method, the method further includes: If the number of grid stations is less than a preset number, the product parameters are compared with a preset product parameter threshold. If the product parameters are greater than or equal to the preset product parameter threshold, the distribution method of the first group of products is determined to be the target distribution method; The target distribution method is used as the product distribution method.

3. The method according to claim 2, characterized in that, After comparing the product parameters with preset product parameter thresholds, the method further includes: If the product parameters are less than the preset product parameter threshold, the historical recommended distribution method of the first group of products is obtained from the historical distribution parameters; If the historical recommended distribution method is the target distribution method, then the distribution method of the first group of products is determined to be the target distribution method; The target distribution method is used as the product distribution method.

4. The method according to claim 2, characterized in that, The step of comparing the product parameters with preset product parameter thresholds includes: Obtain a set of volumes and a set of weights corresponding to the first group of products from the product parameters; The set of volumes is compared with the preset volume threshold in the preset product parameter threshold; The set of weights is compared with the preset weight threshold in the preset product parameter threshold; If all volumes in a set are greater than or equal to the preset volume threshold or all weights in a set are greater than or equal to the preset weight threshold, then the product parameter is determined to be greater than or equal to the preset product parameter threshold. If all the volumes in a set are less than the preset volume threshold and all the weights in a set are less than the preset weight threshold, then the product parameter is determined to be less than the preset product parameter threshold.

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

6. The method according to claim 5, characterized in that, The step of determining the product distribution method and the target distribution method as the target recommended distribution method for the multiple target products further includes: The distribution method for the other commodities is determined as the target distribution method; The target distribution method is used as the target recommended distribution method.

7. The method according to claim 1, characterized in that, After determining the product distribution method and the target distribution method as the target recommended distribution method for the multiple target products, the method further includes: The target grid station is recommended to use the target distribution method for the distribution of the multiple target products, so that the grid station can distribute the multiple target products according to the target distribution method.

8. An information processing device, characterized in that, The device includes: The acquisition unit is used to acquire multiple target products ordered within a preset time period from the target grid station; The filtering unit is used to filter the first group of products from the plurality of target products that do not have historical distribution records corresponding to the target distribution method; The determining unit is configured to: determine a second group of products among the plurality of target products, excluding the first group of products; determine 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; determine the distribution method of the second group of products as the target distribution method; and determine the product distribution method and the target distribution method as the target recommended distribution method for the plurality of target products. The determining unit is configured to determine, from the historical distribution parameters, the number of grid stations for which the first group of goods is determined to be the target distribution method; the grid stations are other grid stations besides the target grid stations; if the number of grid stations is greater than or equal to a preset number, the distribution method of the first group of goods is determined to be the target distribution method; the target distribution method is used as the goods distribution method; if the number of grid stations is less than the preset number, the goods distribution method is determined based on the comparison result between the goods parameters and a preset goods parameter threshold.

9. An information processing device, characterized in that, The device includes: The system includes 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 processor performs the method as described in any one of claims 1 to 7.

10. A storage medium having a computer program stored thereon, used in an information processing device, characterized in that, When executed by a processor, the computer program implements the method described in any one of claims 1 to 7.

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