Order processing method, apparatus, device, and storage medium

Abstract

This application discloses an order processing method, apparatus, device, and storage medium. The order processing method includes: acquiring an augmented reality image of a sample product based on product order information from a product customizer and a product manufacturer, wherein the sample product is a product manufactured based on customized product information corresponding to the product order information; sending a product confirmation instruction to the product customizer, the product confirmation instruction including the augmented reality image, the product confirmation instruction being used to instruct the product customizer to determine whether the sample product meets the customization conditions based on the augmented reality image; and, upon receiving first feedback information from the product customizer, sending a batch production instruction to the product manufacturer, the batch production instruction being used to instruct the product manufacturer to batch produce the products customized by the product customizer based on the sample product. The order processing method provided according to the embodiments of this application can reduce transaction costs for both trading parties in related technologies and improve the efficiency of goods transactions.

Description

Technical Field

[0001] This application relates to the field of computer technology, and more particularly to an order processing method, apparatus, device, and storage medium. Background Technology

[0002] With the development of internet technology, international trade services have become increasingly sophisticated, enabling users to conduct cross-border goods transactions through internet trade platforms. Cross-border goods transactions can include single-item trade and wholesale trade. Single-item trade involves buyers purchasing products of interest from a wide range of mass-produced products. Wholesale trade, on the other hand, primarily deals with products that are not mass-produced but rather manufactured based on customized requirements from buyers, ensuring that these customized products are delivered to the buyers.

[0003] In related technologies, if the products involved in single-item trade do not meet the buyer's expectations, the issue can be resolved through reverse processes such as returns and exchanges, considering the relatively low value of a single product and logistics costs. However, in wholesale trade, buyers are often located far from the product's production location, such as in cross-border or overseas markets. In this case, a large volume of products will arrive at the buyer after going through processing, packaging, customs clearance, tax refunds, and cross-border logistics. If the products do not meet the buyer's expectations, the high value of each trade and the fact that the products are specifically customized for that buyer will increase transaction costs for both parties and affect the efficiency of goods transactions. Summary of the Invention

[0004] This application provides an order processing method, apparatus, device, and storage medium that can reduce transaction costs for both trading parties and improve the efficiency of goods transactions in related technologies.

[0005] According to a first aspect of the embodiments of this application, an order processing method is provided, applied to a product platform, including:

[0006] Based on the product order information of the product customizer and the product manufacturer, augmented reality images of the sample products are obtained. The sample products are products produced based on customized product information corresponding to the product order information.

[0007] Send a product confirmation instruction to the product customizer. The product confirmation instruction includes augmented reality images. The product confirmation instruction is used to instruct the product customizer to determine whether the sample product meets the customization conditions based on the augmented reality images.

[0008] Upon receiving the first feedback from the product customizer, a batch production instruction is sent to the product manufacturer. The batch production instruction instructs the product manufacturer to mass-produce the product customized by the product customizer based on the sample product.

[0009] According to a second aspect of the embodiments of this application, an order processing method is provided, applied to a product customization party, including:

[0010] Based on the product order information with the product manufacturer, the product order information is sent to the product platform. The product order information is used to request the augmented reality image of the sample product. The sample product is a product produced based on the customized product information corresponding to the product order information.

[0011] Receive product confirmation instructions sent by the product platform, which include augmented reality images;

[0012] Showcase augmented reality images;

[0013] Upon receiving confirmation from the client regarding the sample product, the system sends a first feedback message to the product platform. This first feedback message indicates that the sample product meets the product customization requirements.

[0014] According to a third aspect of the embodiments of this application, an order processing method is provided, applied to a product manufacturer, comprising:

[0015] Based on the product order information with the product customizer, the first prompt information is displayed. The first prompt information is used to prompt the user to take an actual image of the sample product. The sample product is a product produced based on the customized product information corresponding to the product order information.

[0016] Receive the second input from the user's photo of the sample product, and obtain the actual image of the sample product;

[0017] Send augmented reality images of sample products to the product platform; the augmented reality images are determined from the actual images.

[0018] Upon receiving a batch production instruction from the product platform, a second prompt message is displayed. This second prompt message is used to indicate the customized product to the customer based on the sample product in the batch production process.

[0019] According to a fourth aspect of the embodiments of this application, an order processing apparatus is provided, applied to a product platform, comprising:

[0020] The acquisition module is used to acquire augmented reality images of sample products based on product order information from product customizers and product manufacturers. The sample products are products manufactured based on customized product information corresponding to the product order information.

[0021] The sending module is used to send a product confirmation instruction to the product customizer. The product confirmation instruction includes an augmented reality image and is used to instruct the product customizer to determine whether the sample product meets the customization conditions based on the augmented reality image.

[0022] The sending module is also used to send a batch production instruction to the product manufacturer upon receiving the first feedback information from the product customizer. The batch production instruction is used to instruct the product manufacturer to mass-produce the product customized by the product customizer based on the sample product.

[0023] According to a fifth aspect of the embodiments of this application, an order processing apparatus is provided, applied to a product customization party, comprising:

[0024] The sending module is used to send product order information to the product platform based on the product order information from the product manufacturer. The product order information is used to request augmented reality images of sample products. The sample products are products produced based on customized product information corresponding to the product order information.

[0025] The receiving module is used to receive product confirmation instructions sent by the product platform. The product confirmation instructions include augmented reality images.

[0026] The display module is used to display the augmented reality images.

[0027] The sending module is also used to send first feedback information to the product platform when it receives a definite input from the customizer regarding the sample product. The first feedback information is used to characterize that the sample product meets the product customization conditions.

[0028] According to a sixth aspect of the embodiments of this application, an order processing apparatus is provided, applied to a product manufacturer, comprising:

[0029] The display module is used to display a first prompt message based on the product order information with the product customizer. The first prompt message is used to prompt the user to take an actual image of the sample product. The sample product is a product produced based on the customized product information corresponding to the product order information.

[0030] The acquisition module is used to receive the second input from the user taking a picture of the sample product and acquire the actual image of the sample product;

[0031] The sending module is used to send augmented reality images of sample products to the product platform. The augmented reality images are determined from the actual images.

[0032] The display module is used to display a second prompt message when a batch production instruction is received from the product platform. The second prompt message is used to prompt the customer to customize the product based on the sample product in the batch production process.

[0033] According to a seventh aspect of the embodiments of this application, a computer device is provided, including: a memory and a processor;

[0034] Memory, used to store computer programs;

[0035] A processor for executing a computer program stored in memory, wherein the computer program, when running, causes the processor to perform the steps of the order processing method as described in the first aspect, the steps of the order processing method as described in the second aspect, or the steps of the order processing method as described in the third aspect.

[0036] According to an eighth aspect of the embodiments of this application, a computer-readable storage medium is provided, on which a program or instructions are stored, which, when executed by a computer device, cause the computer device to perform the steps of the order processing method as shown in the first aspect, the steps of the order processing method as shown in the second aspect, or the steps of the order processing method as shown in the third aspect.

[0037] According to a ninth aspect of the present application, a computer program product is provided, comprising a computer program that, when executed by a computer device, causes the computer device to perform the steps of the order processing method as shown in the first aspect, the steps of the order processing method as shown in the second aspect, or the steps of the order processing method as shown in the third aspect.

[0038] According to the order processing method, apparatus, device, and storage medium in the embodiments of this application, augmented reality images of sample products are obtained through product order information from the product customizer and the product manufacturer. The sample product is a product manufactured based on customized product information corresponding to the product order information. Then, a product confirmation instruction is sent to the product customizer. This product confirmation instruction includes the augmented reality image and is used to instruct the product customizer to determine whether the sample product meets the customization conditions based on the augmented reality image. Therefore, for wholesale trade scenarios, augmented reality technology enables remote product experience transactions. This allows overseas customizers, located far from the product manufacturing location, to project augmented reality images of sample products into the buyer's real space through their own user terminals. This makes the sample product more vivid and intuitive to the customizer, enabling the overseas customizer to confirm whether the sample product meets expectations. Furthermore, the overseas customizer can promptly and remotely track the matching degree between the customized sample product and the buyer's needs after placing an order, without needing to send staff to the product manufacturer for on-site inspection. This reduces the workload of staff and lowers the rate of returns and disputes. Furthermore, upon receiving the initial feedback from the product customizer, a mass production instruction can be sent to the product manufacturer. This instruction instructs the manufacturer to mass-produce the customized product based on the sample product. Therefore, the order processing method provided in this application can also offer feedback functionality to the customizer. For example, the customizer can submit modification suggestions and product comments based on the augmented reality image of the sample product. The manufacturer can then adjust the sample product based on these suggestions and comments. Once the customizer confirms that the sample product meets the buyer's expectations, mass production of the customized product can proceed based on the sample product. This improves production efficiency while reducing transaction costs for both trading parties, enhancing the user experience for all parties involved in international trade. Attached Figure Description

[0039] This application can be better understood from the following description of specific embodiments in conjunction with the accompanying drawings, wherein the same or similar reference numerals denote the same or similar features.

[0040] Figure 1 This is a schematic diagram illustrating an order processing architecture according to one embodiment;

[0041] Figure 2 This is a flowchart illustrating an order processing method according to one embodiment;

[0042] Figure 3 This is a flowchart illustrating an order processing method according to one embodiment;

[0043] Figure 4 This is a flowchart illustrating an order processing method based on a product customizer according to one embodiment;

[0044] Figure 5 This is a flowchart illustrating an order processing method based on a product manufacturer according to one embodiment;

[0045] Figure 6 This is a schematic diagram illustrating the structure of an order processing apparatus according to one embodiment;

[0046] Figure 7 This is a schematic diagram illustrating the structure of an order processing device based on a product customization party according to one embodiment;

[0047] Figure 8 This is a schematic diagram illustrating the structure of an order processing device based on a product manufacturer according to one embodiment;

[0048] Figure 9 This is a schematic diagram illustrating the hardware structure of a computer device according to one embodiment. Detailed Implementation

[0049] The features and exemplary embodiments of various aspects of this application will now be described in detail. To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only configured to explain this application and are not configured to limit this application. For those skilled in the art, this application can be implemented without some of these specific details. The following description of the embodiments is merely to provide a better understanding of this application by illustrating examples of this application.

[0050] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0051] In related technologies, cross-border goods transactions can include single-item trade and wholesale trade. Specifically, single-item trade refers to product platforms targeting individual consumers, where the trade format is often small single items, and the fulfillment model is often a single light and small parcel; wholesale trade refers to product platforms targeting companies, where the trade format is often large-scale wholesale trade.

[0052] In some examples, single-item trading often involves manufacturers designing and producing standardized products in bulk—i.e., standard products. Buyers in this market can then select and purchase items of interest from a vast selection of standard products. Throughout the process, buyers do not directly participate in the customization or on-site monitoring of standard product production. Therefore, in single-item trading, if a product does not meet certain buyers' expectations, the low value of a single product and low logistics costs allow for a reverse process such as returns or exchanges to resolve the issue.

[0053] Unlike wholesale trade, where products are often not standardized, buyers typically need to specify customization requirements during the pre-order product guidance stage. Furthermore, during the fulfillment phase, such as product manufacturing, buyers may require on-site inspection and testing. However, buyers in cross-border wholesale trade are often located far from the product's production location, such as overseas or cross-border markets. Therefore, for wholesale trade, especially cross-border wholesale trade, a large volume of products undergoes processing, packaging, customs clearance, tax refunds, and international logistics before reaching the buyer. If the product does not meet the buyer's expectations, the high value of each transaction and the fact that products are often customized for a specific buyer can lead to increased transaction costs for both parties due to the reverse processes of returns and exchanges. While current methods of product display use text, images, and videos to showcase and describe parameters, they still cannot provide buyers with a direct and immersive experience. Furthermore, current product display methods can result in incomplete product presentations, further increasing transaction costs and reducing efficiency.

[0054] It should be noted that the term "standard product" in this application embodiment refers to a product whose parameters are fixed and standardized in the (e-commerce) trade process, and which buyers cannot customize when placing orders based on these parameters. Conversely, "non-standard product" refers to a product whose parameters are largely customized according to the buyer's needs in the (e-commerce) trade process, and whose various product attributes and stock keeping unit (SKU) attributes may differ between different manufacturers and different (e-commerce) trading platforms.

[0055] Based on this, this application provides an order processing method for wholesale trade scenarios. It utilizes Augmented Reality (AR) technology to enable remote product experience, cleverly integrating virtual information with the real world. This method employs various technologies such as multimedia, 3D modeling, real-time tracking and registration, intelligent interaction, and sensing. Computer-generated text, images, 3D models, music, and videos are simulated and applied to the real world. The two types of information complement each other, thus enhancing the real world. This allows overseas customers, located far from the product's manufacturing location, to project augmented reality images of sample products into the buyer's real space via their own user terminals. This makes the sample products more vivid and intuitive, enabling overseas customers to confirm whether the sample products meet their expectations. Furthermore, overseas customers can promptly and remotely track the matching degree between the customized sample products and the buyer's needs after placing an order, without needing to send staff to the product manufacturer for on-site inspection. This reduces the workload of staff and lowers the rate of returns and disputes. In addition, the order processing method provided in this application can also provide feedback functions for the customizer. For example, the customizer can make modification suggestions and product comments based on the augmented reality image of the sample product, so that the product manufacturer can adjust the sample product based on the modification suggestions and product comments. If the customizer determines that the sample product meets the buyer's expectations, the manufacturer can mass-produce the customized product based on the sample product. This will improve product production efficiency, reduce transaction costs for both trading parties, and improve the user experience for all parties in international trade.

[0056] Based on this, the following is in conjunction with the appendix Figure 1 The order processing architecture shown in this embodiment of the application provides a detailed explanation of the order processing method provided in this embodiment.

[0057] In one or more possible embodiments, such as Figure 1 As shown in the embodiments of this application, the order processing architecture may include an order processing system 10. The order processing system 10 may include a product customizer 101, a product platform 102, and a product manufacturer 103. The order system 10 will be described in detail below.

[0058] Product customizer 101 can be an electronic device, such as a mobile phone, tablet, laptop, PDA, wearable device, or any other device capable of interacting with product platform 102 and displaying augmented reality images of the product. This embodiment does not specifically limit product customizer 101. In one example, product customizer 101 may have an augmented reality image player installed. This player displays augmented reality images of the sample product received from product platform 102, allowing the customizer to view the sample product details more intuitively and clearly based on the augmented reality images. In another example, to allow the customizer to modify the augmented reality images of the sample product received from product platform 102, product customizer 101 may also have an editor installed. This editor edits the augmented reality images, enabling timely and quick adjustments to the sample product when errors occur.

[0059] Product platform 102 can be a server cluster, a data resource platform (such as a dedicated cloud, private cloud, public cloud, or hybrid cloud), a physical machine, or other device with computing and transmission capabilities. This application embodiment does not specifically limit product platform 102. In one example, product platform 102 is used to provide data processing services for product customizer 101 and product manufacturer 103, and to provide data scheduling and transmission services between product customizer 101 and product manufacturer 103. Exemplarily, product platform 102 is used to obtain augmented reality images of sample products based on product order information from product customizer 101 and product manufacturer 103, and to send a product confirmation instruction including the augmented reality image to product customizer 101; and, upon receiving first feedback information from product customizer 101, to send a batch production instruction to product manufacturer 103, the batch production instruction instructing product manufacturer to batch produce products customized by product customizer based on sample products.

[0060] Product manufacturer 103 may include electronic devices 1031 of the manufacturer (i.e., the product manufacturing plant). These electronic devices can be mobile phones, tablets, laptops, PDAs, wearable devices, etc., capable of interacting with the product platform 102, capturing actual images of the product, and displaying augmented reality images of the product. This application embodiment does not specifically limit product manufacturer 103. To ensure that the captured actual images can be converted into augmented reality images, the device involved in product manufacturer 103 provided in this application embodiment can provide LiDAR functionality to achieve the capture conditions for converting to augmented reality images. In one example, to capture actual images of the product, product manufacturer 103 may install at least one controller to control a rotating tray or sliding track via wireless or wired connection to achieve the capture of actual images. In another example, to ensure the clarity of the actual images and improve the accuracy of the augmented reality images, product manufacturer 103 is equipped with a gimbal to prevent blurring or other reductions in image clarity due to vibrations of the electronic device during the process of controlling the rotating tray or sliding track to capture actual images. Here, besides setting up a gimbal stabilization unit within the product manufacturer 103, an external gimbal stabilization unit can also be connected to the product manufacturer 103 to ensure the clarity of the actual image during the process of controlling the rotating tray or sliding track to capture the actual image. In another example, the product manufacturer 103 can also have the function of connecting to a third-party shooting device, such as a 3D laser scanner, and exchanging information with the third-party shooting device. In this way, the product manufacturer 103 can control the 3D laser scanner to capture the actual image and acquire the actual image captured by the 3D laser scanner.

[0061] Additionally, the product manufacturer 103 may also include an electronic device 1032 for risk management by a third party. Here, to ensure the security of the order from the product customizer 101, the electronic device 1032 can capture actual images of the sample product to prevent the manufacturer from tampering with the actual images and augmented reality images of the sample product to protect its own interests. In one example, the electronic device for risk management by the third party can receive a first capturing instruction sent by the product platform 102. This first capturing instruction instructs the third party to capture an actual image of the sample product. After capturing the actual image, the electronic device 1032 sends the first capturing information to the product platform 102. Then, upon receiving the first feedback information from the product customizer 101, the product platform 102 sends a batch production instruction to the electronic device 1031. This batch production instruction instructs the batch production of the customized product based on the sample product. This achieves a functional division between the electronic devices 1031 and 1032, improving security while completing order processing.

[0062] It should be noted that the electronic devices involved in the product manufacturer 103 (i.e., the manufacturer's electronic device 1031 and the third-party electronic device 1032 for risk control) can not only capture actual images of the product, but also generate augmented reality images based on the actual images. This allows for the generation of augmented reality images based on real-time captured images, preventing the actual images of the product from being maliciously tampered with during transmission to the product platform 102 and improving data security.

[0063] Therefore, the order processing system involved in this application embodiment is an integrated system based on AR technology to realize remote experience of e-commerce product functions. It is convenient and fast, and can complete the capture of actual images with the help of electronic devices with LiDAR function or handheld 3D laser scanners. Then, the AR images are stitched and reconstructed on the product platform, so that overseas buyers can project the AR image of the sample product into the actual goods space of the customer through the product customizer 101. During the product production and fulfillment stage after the order is placed, it is convenient for the customer to track the degree of conformity between the sample product and the requirements in a timely manner. There is no need for staff to go to the factory of the manufacturer for on-site inspection, which reduces the proportion of transaction returns and disputes.

[0064] Based on the above display architecture, let's take a wardrobe customized by product customizer 101 as an example for illustration, combined with... Figure 2 The order processing method provided in the embodiments of this application will be described in detail.

[0065] like Figure 2 As shown, product customizer 101 sends product order information, such as an order contract, to product platform 102 based on product order information with product manufacturer, such as 100,000 wardrobes. The order contract includes the identity identifier A of product customizer 101 and the identity identifier B of product manufacturer. The product order information is used to request an augmented reality image of a sample product, such as a wardrobe sample. The sample product is a product produced based on the customized product information corresponding to the product order information, that is, the customized product information such as wardrobe size, color, shape, and craftsmanship provided by product customizer 101.

[0066] Product platform 102 receives product order information sent by product customizer 101, and sends a first shooting instruction to product manufacturer 103 corresponding to identity identifier B based on product order information of product customizer and product manufacturer such as product manufacturer's identity identifier B. The first shooting instruction is used to instruct product manufacturer 103 to shoot actual images of sample products and generate augmented reality images based on actual images.

[0067] Product manufacturer 103 receives a first shooting instruction and displays a first prompt message. This prompt message guides the manufacturer to capture an actual image of the sample product, which is a customized product manufactured based on product order information. Next, product manufacturer 103 receives a second input from the user to capture the sample product, obtains the actual image of the sample product, and generates an augmented reality image of the sample product based on the actual image. Then, product manufacturer 103 sends the augmented reality image of the sample product to product platform 102.

[0068] Product platform 102 receives augmented reality images of sample products sent by product manufacturer 103 and sends product confirmation instructions to product customizer 101. The product confirmation instructions include augmented reality images and are used to instruct product customizer 101 to determine whether the sample products meet the customization conditions based on the augmented reality images.

[0069] Product customizer 101 receives a product confirmation instruction from product platform 102, which includes an augmented reality image of the sample product. Next, product customizer 101 displays the augmented reality image 20 of the sample product. Then, upon receiving confirmation input from the customizer regarding the sample product, product customizer 101 sends first feedback information to the product platform, which indicates that the sample product meets the product customization conditions.

[0070] Upon receiving the first feedback information from the product customizer 101, the product platform 102 sends a batch production instruction to the product manufacturer 103. The batch production instruction is used to instruct the product manufacturer to mass-produce the product customized by the product customizer based on the sample product.

[0071] Upon receiving a batch production instruction from the product platform 102, the product manufacturer 103 displays a second prompt message. The second prompt message is used to prompt the product manufacturer to produce customized products based on the sample products in batches, thereby completing the order processing flow.

[0072] Therefore, the order processing method provided in this application embodiment obtains an augmented reality image of a sample product based on the product order information of the product customizer and the product manufacturer. The sample product is a product manufactured based on customized product information corresponding to the product order information. Then, a product confirmation instruction is sent to the product customizer. This product confirmation instruction includes the augmented reality image and is used to instruct the product customizer to determine whether the sample product meets the customization conditions based on the augmented reality image. Thus, for wholesale trade scenarios, augmented reality technology enables remote product experience transactions. This allows overseas customizers, located far from the product manufacturing location, to project an augmented reality image of the sample product into the buyer's real space through their own user terminal. This makes the sample product more vivid and intuitive to the customizer, allowing the overseas customizer to confirm whether the sample product meets expectations. Furthermore, the overseas customizer can promptly and remotely track the matching degree between the customized sample product and the buyer's needs after placing an order, without needing to send staff to the product manufacturer for on-site inspection. This reduces the workload of staff and lowers the rate of returns and disputes.

[0073] It should be noted that the embodiments of this application can be applied to cross-border goods transactions, especially to the scenario of large-scale international trade in wholesale trade. This is because the main products in wholesale trade are often non-standard products. During the ordering stage, the maker can participate in the customization of the product. The maker can customize parameters such as the color, shape, and size of the product. The manufacturer starts processing and production based on the product customization information of the maker, so as to realize two-way interaction between the manufacturer and the maker and product production. Furthermore, the order processing method in this embodiment can be applied to wholesale trade scenarios as well as to individual consumer order processing scenarios. For example, an individual consumer can act as a product customizer. If an individual consumer wants to customize a lipstick color that suits them, then the product order information will be "customized lipstick color". At this time, the product manufacturer can provide the product platform with actual images of various existing basic lipstick colors. Based on the actual images of various basic lipstick colors, the product platform generates augmented reality images of each basic lipstick color. The product customizer can mix and match the augmented reality images of the basic lipstick colors to obtain a customized lipstick color that satisfies the product customizer. The customized lipstick color is then sent to the product manufacturer through the product platform so that the lipstick of the customized color can be produced. Here, if the product manufacturer obtains authorization from the product customizer, it can mass-produce the lipstick of the customized color.

[0074] Based on this, the embodiments of this application can be applied to the product guidance stage and the product manufacturing fulfillment stage of wholesale trade. For different stages, the order processing method provided by the embodiments of this application can effectively solve different problems, as detailed below. On the one hand, for the product guidance stage, the manufacturer can be the consumer, as specifically referred to in the example of customized colors mentioned above. Therefore, product parameters can be improved during the product guidance stage, increasing the benefits for both parties. On the other hand, for the fulfillment stage, it effectively solves the current inability to complete the functions of the fulfillment stage in the e-commerce process, and the inability to reduce the cost of the product platform's partner company traveling to the manufacturer's factory to provide order tracking services; and effectively solves the current inability to provide customized products and AR images of the actual product after production during the fulfillment stage. Here, the partner company refers to a company entity that establishes a cooperative relationship with the cross-border e-commerce platform to help the e-commerce platform better sell and promote e-commerce products and services. It has functions such as sales, customer service, and order tracking and inspection, as exemplified by the product manufacturer involved in the embodiments of this application.

[0075] Based on the above architecture and application scenarios, the following will be combined with... Figure 3 The order processing method provided in the embodiments of this application will be described in detail.

[0076] Figure 3 This is a flowchart illustrating an order processing method according to one embodiment.

[0077] like Figure 3 As shown, the order processing method can be applied to, for example... Figure 1 and Figure 2 The order processing system shown can be specifically applied to a product platform within an order processing system. The order processing method can specifically include:

[0078] Step 310: Based on the product order information of the product customizer and the product manufacturer, obtain the augmented reality image of the sample product. The sample product is a product manufactured based on the customized product information corresponding to the product order information. Step 320: Send a product confirmation instruction to the product customizer. The product confirmation instruction includes the augmented reality image and is used to instruct the product customizer to determine whether the sample product meets the customization conditions based on the augmented reality image. Step 330: Upon receiving the first feedback information sent by the product customizer, send a batch production instruction to the product manufacturer. The batch production instruction is used to instruct the product manufacturer to batch produce the product customized by the product customizer based on the sample product.

[0079] The steps described above are explained in detail below.

[0080] First, regarding step 310, this application embodiment provides at least three methods for acquiring augmented reality images, and will specifically describe step 310 in conjunction with different scenarios.

[0081] In one or more possible examples, the product customizer, according to the order fulfillment stage involved in the order contract signed between the product customizer and the product manufacturer, reminds the product manufacturer through the product platform to provide actual images of the sample products so that the customized product can browse the actual enhanced images of the sample products corresponding to the actual images. Based on this, step 310 may specifically include:

[0082] Receive order fulfillment requests from product customizers, including product order information;

[0083] Based on the order fulfillment request, obtain product order information from the product customizer and the product manufacturer;

[0084] Based on product order information, a first shooting instruction is sent to the product manufacturer. The first shooting instruction is used to instruct the product manufacturer to take actual images of the sample product and generate augmented reality images based on the actual images.

[0085] Upon receiving the first shooting information sent by the product customizer, augmented reality images are obtained from the first shooting information.

[0086] It should be noted that in some scenarios, the order fulfillment request time has not yet reached the time when the product manufacturer provides the actual image of the sample product. In this case, before the product platform sends the first shooting instruction to the product manufacturer, the order processing method may also include:

[0087] Determine whether the sample production time limit in the product order information meets the preset time limit;

[0088] Once it is confirmed that the sample production time limit in the product order information meets the preset time limit, the first shooting instruction is sent to the product manufacturer.

[0089] For example, if the effective period of the order fulfillment stage involved in the order contract begins on the day the order contract is signed, and the sample production time limit is 10 days, then if the product platform receives the order fulfillment request within 10 days after the day the order contract is signed, it may not send the first shooting information to the product customizer; conversely, if the product platform receives the order fulfillment request after 10 days after the day the order contract is signed, it may send the first shooting information to the product customizer.

[0090] In another or more possible examples, the product manufacturer sends actual images of the sample product to the product platform according to the order fulfillment stage involved in the order contract signed between the product customer and the product manufacturer. The product platform then generates an enhanced image of the sample product based on these images, allowing the product customer to view the enhanced image corresponding to the actual image. Therefore, step 310 may specifically include:

[0091] Receive product order information sent by the product manufacturer, which includes actual images of sample products taken by the product manufacturer;

[0092] Augmented reality images of sample products are obtained by processing actual images using a preset augmented reality algorithm.

[0093] In another possible example, the product platform, according to the order fulfillment stage involved in the order contract signed between the product customizer and the product manufacturer, prompts the product manufacturer to provide actual images of the sample product so that the product customizer can browse the actual enhanced image of the sample product corresponding to the actual image. Based on this, step 310 may specifically include:

[0094] Obtain product order information from both the product customizer and the product manufacturer. The product order information includes the sample production timeframe.

[0095] If the sample production time limit in the product order information meets the preset time limit, a second shooting instruction is sent to the product manufacturer. The second shooting instruction is used to instruct the product manufacturer to take an actual image of the sample product and generate an augmented reality image based on the actual image.

[0096] Upon receiving the second shooting information sent by the product manufacturer, augmented reality images are obtained from the second shooting information.

[0097] It should be noted that, in addition to the location of the augmented reality image of the sample product being generated as shown above, the order processing method provided in this application embodiment can also be performed by the product manufacturer. Of course, sometimes in order to reduce the computational efficiency of the product manufacturer and improve the conversion speed, the conversion can be performed by the product platform. That is, the second shooting instruction can also be used to instruct the product manufacturer to shoot the actual image of the sample product. Based on this, upon receiving the second shooting information sent by the product manufacturer, the actual image of the sample product is obtained from the second shooting information, and the actual image is processed by a preset augmented reality algorithm to obtain the augmented reality image of the sample product.

[0098] In one example, to ensure the security of the product customization order 101, a risk management third party can be used to take actual images of the sample product to prevent the manufacturer from tampering with the actual images and augmented reality images of the sample product to protect its own interests. Therefore, in this embodiment of the application, the product manufacturer includes a risk management third party, and the actual images are taken by the risk management third party.

[0099] Furthermore, in one possible embodiment, besides the product customizer confirming that the sample product meets the product customization conditions in step 330, there may also be cases where the sample product is modified. Based on this, in one possible example, after step 320, the order processing method may further include:

[0100] Step 3201: Receive the second feedback information sent by the product customizer. The second feedback information includes modification information of the sample product.

[0101] Step 3202: Based on the revision information of the sample product, send a sample revision instruction to the product manufacturer. The sample revision instruction is used to instruct the product customizer to adjust the sample product based on the revision information.

[0102] Based on this, after step 3202 mentioned above, the order processing method may further include:

[0103] Step 3203: Receive revision feedback information sent by the product manufacturer. The revision feedback information includes the augmented reality image of the revised product. The revised product is the product after adjusting the sample product based on the revision information.

[0104] Step 3204: Send a revised product confirmation instruction to the product customizer. The revised product confirmation instruction includes an augmented reality image of the revised product. The revised product confirmation instruction is used to instruct the product customizer to determine whether the revised product meets the customization conditions based on the augmented reality image of the revised product.

[0105] Therefore, if the number of modifications is greater than N, where N is an integer greater than 1, steps 3201 to 3204 can be repeated until a batch production instruction is sent to the product manufacturer upon receiving the first feedback information from the product customizer.

[0106] In another possible example, in the case of revising the sample product, this embodiment of the application can, in addition to receiving revision feedback information sent by the product manufacturer, also receive an augmented reality image of the revised product that has already been modified by the product manufacturer. Based on this case, after step 330, the order processing method may further include:

[0107] Receive third feedback information from the product customizer. The third feedback information includes the augmented reality image of the revised product. The revised product is the product after adjusting the sample product.

[0108] Based on augmented reality images of the revised products, obtain revision information for the sample products;

[0109] Send a sample reproduction instruction to the product manufacturer. The sample reproduction instruction includes the augmented reality image of the revised product and the revision information. The sample reproduction instruction is used to instruct the product manufacturer to reproduce the sample product based on the augmented reality image of the revised product and the revision information.

[0110] In summary, according to the order processing method in this application embodiment, augmented reality images of sample products are obtained through product order information from both the product customizer and the product manufacturer. The sample product is a product manufactured based on customized product information corresponding to the product order information. Then, a product confirmation instruction is sent to the product customizer. This instruction includes the augmented reality image and is used to instruct the product customizer to determine whether the sample product meets the customization conditions based on the augmented reality image. Therefore, for wholesale trade scenarios, augmented reality technology enables remote product experience transactions. This allows overseas customizers, located far from the product manufacturing location, to project augmented reality images of sample products into the buyer's real space through their own user terminals. This makes the sample product more vivid and intuitive for the customizer, enabling them to confirm whether the sample product meets their expectations. Furthermore, overseas customizers can promptly and remotely track the matching degree between the customized sample product and the buyer's needs after placing an order, without needing to send staff to the product manufacturer for on-site inspection. This reduces the workload of staff and lowers the rate of returns and disputes.

[0111] Furthermore, upon receiving the initial feedback from the product customizer, a mass production instruction can be sent to the product manufacturer. This instruction instructs the manufacturer to mass-produce the customized product based on the sample product. Therefore, the order processing method provided in this application can also offer feedback functionality to the customizer. For example, the customizer can submit modification suggestions and product comments based on the augmented reality image of the sample product. The manufacturer can then adjust the sample product based on these suggestions and comments. Once the customizer confirms that the sample product meets the buyer's expectations, mass production of the customized product can proceed based on the sample product. This improves production efficiency while reducing transaction costs for both trading parties, enhancing the user experience for all parties involved in international trade.

[0112] Based on the same inventive concept, the following will be combined with... Figure 4 The order processing method provided in the embodiments of this application will be described in detail.

[0113] Figure 4 This is a flowchart illustrating an order processing method based on a product customizer according to one embodiment.

[0114] like Figure 4 As shown, the order processing method can be applied to, for example... Figure 1 or Figure 2The order processing system shown can be specifically applied to product customizers within the order processing system. The order processing method can specifically include:

[0115] Step 410: Based on the product order information with the product manufacturer, send the product order information to the product platform. The product order information is used to request the augmented reality image of the sample product. The sample product is a product manufactured based on the customized product information corresponding to the product order information. Step 420: Receive the product confirmation instruction sent by the product platform. The product confirmation instruction includes the augmented reality image of the sample product. Step 430: Display the augmented reality image of the sample product. Step 440: Upon receiving confirmation input from the customizer regarding the sample product, send first feedback information to the product platform. The first feedback information is used to indicate that the sample product meets the product customization conditions.

[0116] The steps described above are explained in detail below.

[0117] First, step 410 is involved, which may specifically include:

[0118] Based on product order information with the product manufacturer, calculate the sample production time limit for the sample products;

[0119] If the sample production time limit in the product order information meets the preset time limit, an order fulfillment request is sent to the product platform. The order fulfillment request includes the product order information and is used to request the augmented reality image of the sample product obtained based on the product order information.

[0120] Then, regarding step 440, in one possible embodiment, the present application embodiment may also include the opposite of step 440, that is, the order processing method may further include:

[0121] Step 4401: If no confirmation input regarding the sample product is received from the customer, receive modification information for the sample product from the customer.

[0122] Step 4402: Send the second feedback information to the product platform. The second feedback information includes the modification information of the sample product. The revision information of the sample product is used to adjust the sample product.

[0123] Based on this, in another possible embodiment, after step 4401, the order processing method may further include:

[0124] Based on the modified information, the augmented reality image of the sample product is adjusted to obtain the augmented reality image of the revised product. The revised product is the product after the sample product is adjusted based on the modified information.

[0125] Send third-party feedback to the product platform. This feedback includes revising the product's augmented reality visuals.

[0126] Based on the same inventive concept, the following will be combined with... Figure 5 The order processing method provided in the embodiments of this application will be described in detail.

[0127] Figure 5 This is a flowchart illustrating an order processing method based on a product manufacturer according to one embodiment.

[0128] like Figure 5 As shown, the order processing method can be applied to, for example... Figure 1 or Figure 2 The order processing system shown can be specifically applied to product manufacturers within the order processing system. The order processing method can specifically include:

[0129] Step 510: Based on the product order information with the product customizer, display a first prompt message. The first prompt message prompts the user to take an actual image of the sample product, which is a product manufactured based on the customized product information corresponding to the product order information. Step 520: Receive the user's second input to take a picture of the sample product and obtain the actual image of the sample product. Step 530: Send an augmented reality image of the sample product to the product platform. The augmented reality image is determined by the actual image. Step 540: Upon receiving a batch production instruction from the product platform, display a second prompt message. The second prompt message prompts the user to batch produce the customized product based on the sample product.

[0130] The steps described above are explained in detail below.

[0131] Based on different scenarios, this application provides at least three methods for obtaining actual images of sample products, as detailed below.

[0132] In one possible embodiment, step 520 may specifically include:

[0133] Step 5201: Receive the second input from the user's photo of the sample product and obtain the product specifications of the sample product;

[0134] Step 5202: Based on the product specifications of the sample product, select the target shooting method corresponding to the product specifications from multiple shooting methods for shooting the sample product. The product specifications include at least one of the following: product size, product model, and product weight.

[0135] Step 5203: Obtain the actual image of the sample product according to the target shooting method.

[0136] Based on the above possibilities, step 5203 will be explained in detail for each possibility.

[0137] Scenario 1: If the product specifications of the sample product meet the preset conditions, the target shooting method is to capture images by connecting to a rotating tray, and the sample product is placed on the rotating tray, step 5203 may specifically include:

[0138] During the shooting process, the rotation direction, rotation speed, and lifting position of the rotating tray are controlled to capture product images;

[0139] If the acquired product images meet the conditions for generating augmented reality images, the acquired product images are determined to be actual images of the sample products.

[0140] For example, if the sample product's specifications, such as a weight of less than or equal to 100 kg and dimensions less than or equal to a preset size (meaning the sample product can move freely), indicate that the sample product's specifications meet the preset conditions. Therefore, when capturing actual images, it can be connected to a rotating tray, keeping the electronic device stationary while the tray rotates at a constant speed to capture the actual image. Specifically, the process includes vertically placing the sample product at the center of the rotating tray and fixing it in place, ensuring that the sample product does not move or fall off the tray when it is vertically flipped or horizontally rotated.

[0141] Next, an AR image acquisition application for capturing actual product images is installed on an electronic device with LiDAR functionality. The electronic device is then fixed on a tripod, which is positioned 0.5 to 2 meters away from the rotating tray, ensuring that the electronic device's field of view covers the sample product. The user can press the capture switch to start shooting. At this time, the electronic device can send control command 1 to the rotating tray, causing it to rotate 360 ​​degrees at a constant speed, and control command 2 to the rotating tray, causing it to rotate vertically downwards at a constant speed. When the sample product is placed horizontally, the electronic device can capture the top of the sample product, generating a bird's-eye view. At this point, the shooting of the sample product can be stopped, allowing the actual image captured by the electronic device to be uploaded to the product platform and stored. The product platform can then perform a 3D reconstruction based on the actual image to generate an augmented reality image of the sample product.

[0142] Scenario 2: When the product specifications of the sample product do not meet the preset conditions, the target shooting method is to capture images connected to a sliding track, and an electronic device for capturing the sample product is installed on the sliding track, step 5203 may specifically include:

[0143] Based on the shooting angle of the sample product, the sliding angle, interaction speed and lifting position of the sliding track are controlled so that the electronic device can acquire product images according to the sliding angle, interaction speed and lifting position of the sliding track.

[0144] If the acquired product images meet the conditions for generating augmented reality images, the acquired product images are determined to be actual images of the sample products.

[0145] For example, if the sample product's specifications, such as its weight exceeding 100 kg and its size exceeding a preset product size (i.e., it's an inconveniently moved sample product like large machinery), indicate that the sample product's specifications do not meet the preset conditions. Therefore, when capturing actual images, a sliding track can be used. The sample product remains stationary while an electronic device mounted on the sliding track is moved to capture the actual image. Specifically, the user places the sample product vertically, installs an AR image capture application on an electronic device with LiDAR functionality, and mounts the electronic device on the sliding track, ensuring its field of view covers the sample product. The electronic device then automatically starts capturing images. Based on the sample product being captured, the electronic device controls the sliding angle and interaction speed of the sliding track, moving uniformly around the product at a fixed radius (e.g., 360 degrees). Once the product image captured by the electronic device meets the conditions for generating an augmented reality image, the capturing process is stopped, resulting in the actual image of the sample product.

[0146] In another possible embodiment, namely case 3, step 520 may specifically include:

[0147] Receive the second input from the user's photo of the sample product, and obtain the preview interface of the photo of the sample product;

[0148] Determine the movement angle and direction based on the position of the sample product in the preview interface;

[0149] The camera displays shooting prompts, including the angle and direction of movement. These prompts are used to guide the user to move the electronic device that is shooting the sample product according to the angle and direction of movement.

[0150] When it is detected that the electronic device is taking pictures of the sample product according to the moving angle and direction, product images are acquired;

[0151] If the acquired product images meet the conditions for generating augmented reality images, the acquired product images are determined to be actual images of the sample products.

[0152] For example, if the sample product's specifications, such as its weight exceeding 100 kg and its size exceeding a preset size (i.e., it's an inconveniently moved sample product like large machinery), indicate that the sample product's specifications do not meet the preset conditions. The electronic device can prompt the user to walk around the sample product at a constant speed while mounted on a gimbal to capture an actual image of the sample product. Specific steps include the user vertically positioning the sample product, installing an AR image capture application on the LiDAR-enabled electronic device, fixing the device to the gimbal, and walking to an appropriate distance to ensure the camera's field of view covers the entire sample product. The user then presses the camera's shutter button to begin shooting. Holding the gimbal, the user walks around the sample product at a constant speed with a fixed radius, completing a 360-degree circle. Once the product image captured by the electronic device meets the conditions for generating an augmented reality image, the shooting is stopped, thus obtaining the actual image of the sample product.

[0153] The electronic devices involved in the aforementioned entity image acquisition process can also be replaced by third-party handheld 3D laser scanners. Handheld 3D laser scanners provide more accurate images, but it's crucial to ensure that the graphic format captured by the third-party handheld 3D laser scanner is compatible with the product platform's image format. The 3D AR images scanned using a third-party handheld 3D laser scanner can be imported into the electronic device and then uploaded to the product platform. The product platform and product customizer support the following mainstream AR image file formats: gITF and USDZ.

[0154] Therefore, this application proposes a lightweight AR image acquisition process, utilizing the combined control of ordinary electronic devices and a rotating tray capable of 720-degree uniform rotation to acquire the required 3D data. This reduces hardware costs while obtaining high-quality AR images. It effectively solves the problem that most current AR acquisition solutions rely on specialized acquisition equipment, characterized by high reconstruction accuracy but also high hardware costs, and require synchronization and calibration between various sensors. Because the method provided in this application reduces the cost of acquisition equipment, it is applicable to various application scenarios, thereby expanding the application scenarios of AR images to the cross-border e-commerce field. This enhances the immersive experience of the product for both the customizer and the supplier during the fulfillment phase, reducing the cost for the customizer to pay a partner company to visit the seller's factory during the fulfillment phase. During the fulfillment phase, the partner company's (such as the supplier's factory in this application embodiment) employees photograph the seller's factory to inspect the product processing and production status, photograph images of the customized products according to the buyer's requirements, and photograph images of product stacks, product packaging, box labels, product details, accessories, dimensional measurement diagrams, etc., generating AR images. Customers can use the platform in this application embodiment to zoom, rotate, move, and view AR images to experience product functions. This reduces the cost of on-site inspections at the factory by order tracking personnel and source staff. Simultaneously, accurate AR images provide buyers with a more direct and richer experience, reducing returns and disputes. Furthermore, this solution provides customers with AR images of the actual production of their customized goods during the fulfillment phase, along with buyer feedback functions to improve product parameters and reduce communication costs for both parties. It should be noted that order tracking in this application embodiment refers to the fulfillment phase of the e-commerce transaction process. The customer purchases fulfillment tracking services, and the e-commerce platform's partner company visits the customer's factory to inspect the product processing and production status, taking pictures and videos of product stacks, packaging, labels, product details, accessories, and dimensional measurements, which are then transmitted back to the buyer.

[0155] It should be clarified that this application is not limited to the specific configurations and processes described in the above embodiments and shown in the figures. For the sake of convenience and brevity, detailed descriptions of known methods are omitted here, and the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

[0156] Based on the same inventive concept, this application provides an order processing apparatus corresponding to the order processing method described above. Specifically, in conjunction with... Figure 6 Please provide a detailed explanation.

[0157] Figure 6 This is a schematic diagram illustrating the structure of an order processing apparatus according to one embodiment.

[0158] like Figure 6 As shown, the order processing device 60 is applied to, for example... Figure 1 and Figure 2 The order processing system shown can be specifically applied to the product platform within the order processing system. The order processing device 60 may specifically include:

[0159] The acquisition module 601 is used to acquire augmented reality images of sample products based on product order information from the product customizer and the product manufacturer. The sample products are products manufactured based on customized product information corresponding to the product order information.

[0160] The sending module 602 is used to send a product confirmation instruction to the product customizer. The product confirmation instruction includes an augmented reality image and is used to instruct the product customizer to determine whether the sample product meets the customization conditions based on the augmented reality image.

[0161] The sending module 602 is also used to send a batch production instruction to the product manufacturer upon receiving the first feedback information sent by the product customizer. The batch production instruction is used to instruct the product manufacturer to mass-produce the product customized by the product customizer based on the sample product.

[0162] Based on this, the order processing device 60 provided in the embodiments of this application will be described in detail below:

[0163] In one or more possible embodiments, the order processing apparatus 60 provided in this application may further include a first receiving module; wherein,

[0164] The first receiving module is used to receive order fulfillment requests sent by the product customizer. The order fulfillment requests include product order information.

[0165] The acquisition module 601 can be specifically used to acquire product order information from the product customizer and the product manufacturer based on the order fulfillment request.

[0166] The sending module 602 can also be used to send a first shooting instruction to the product manufacturer based on the product order information. The first shooting instruction is used to instruct the product manufacturer to shoot an actual image of the sample product and generate an augmented reality image based on the actual image.

[0167] The acquisition module 601 can also be used to acquire augmented reality images from the first shooting information when it receives the first shooting information sent by the product customizer.

[0168] In another or more possible embodiments, the order processing apparatus 60 provided in this application may further include a second receiving module and a processing module; wherein,

[0169] The second receiving module is used to receive product order information sent by the product manufacturer. The product order information includes actual images of sample products taken by the product manufacturer.

[0170] The processing module is used to process the actual image using a preset augmented reality algorithm to obtain an augmented reality image of the sample product.

[0171] In another or more possible embodiments, the acquisition module 601 can also be used to acquire product order information from the product customizer and the product manufacturer, the product order information including the sample production time limit;

[0172] The sending module 602 can also be used to send a second shooting instruction to the product manufacturer when it is determined that the sample production time limit in the product order information meets the preset time limit. The second shooting instruction is used to instruct the product manufacturer to shoot an actual image of the sample product and generate an augmented reality image based on the actual image.

[0173] The acquisition module 601 can also be used to acquire augmented reality images from the second shooting information when it receives the second shooting information sent by the product manufacturer.

[0174] It should be noted that the product manufacturer includes a third party responsible for risk management, and the actual images were taken by the third party responsible for risk management.

[0175] In another or more possible embodiments, the order processing device 60 provided in this application embodiment may further include a third receiving module for receiving second feedback information sent by the product customizer, the second feedback information including modification information of the sample product;

[0176] The sending module 602 can also be used to send a sample revision instruction to the product manufacturer based on the revision information of the sample product. The sample revision instruction is used to instruct the product customizer to adjust the sample product based on the revision information.

[0177] In another or more possible embodiments, the order processing device 60 provided in this application embodiment may further include a fourth receiving module, used to receive revision feedback information sent by the product manufacturer, the revision feedback information including an augmented reality image of the revised product, the revised product being a product after adjusting the sample product based on the revision information;

[0178] The sending module 602 can also be used to send a revised product confirmation instruction to the product customizer. The revised product confirmation instruction includes an augmented reality image of the revised product. The revised product confirmation instruction is used to instruct the product customizer to determine whether the revised product meets the customization conditions based on the augmented reality image of the revised product.

[0179] In another or more possible embodiments, the order processing device 60 provided in this application embodiment may further include a fifth receiving module, used to receive third feedback information sent by the product customizer, the third feedback information including the augmented reality image of the revised product, the revised product being the product after adjusting the sample product;

[0180] The acquisition module 601 can also be used to acquire revision information of the sample product based on the augmented reality image of the revised product;

[0181] The sending module 602 can also be used to send a sample reproduction instruction to the product manufacturer. The sample reproduction instruction includes the augmented reality image of the revised product and the revision information. The sample reproduction instruction is used to instruct the product manufacturer to reproduce the sample product based on the augmented reality image of the revised product and the revision information.

[0182] Therefore, by utilizing product order information from both the product customizer and the product manufacturer, augmented reality (AR) images of sample products are obtained. These sample products are manufactured based on customized product information corresponding to the product order information. Next, a product confirmation instruction, including the AR image, is sent to the product customizer. This instruction instructs the customizer to determine whether the sample product meets the customization requirements based on the AR image. Thus, for wholesale trade scenarios, AR technology enables remote product experience and transactions. Overseas customizers located far from the product manufacturing site can project AR images of sample products into the buyer's real-world environment through their own user terminals. This allows the sample product to be presented more vividly and intuitively to the customizer, enabling them to confirm whether the sample product meets their expectations. Furthermore, overseas customizers can promptly and remotely track the matching degree between the customized sample product and the buyer's needs after placing an order, without needing to send staff to the product manufacturer for on-site inspection. This reduces staff workload and lowers the rate of returns and disputes. Furthermore, upon receiving the initial feedback from the product customizer, a mass production instruction can be sent to the product manufacturer. This instruction instructs the manufacturer to mass-produce the customized product based on the sample product. Therefore, the order processing method provided in this application can also offer feedback functionality to the customizer. For example, the customizer can submit modification suggestions and product comments based on the augmented reality image of the sample product. The manufacturer can then adjust the sample product based on these suggestions and comments. Once the customizer confirms that the sample product meets the buyer's expectations, mass production of the customized product can proceed based on the sample product. This improves production efficiency while reducing transaction costs for both trading parties, enhancing the user experience for all parties involved in international trade.

[0183] Based on the same inventive concept, this application provides an order processing apparatus corresponding to the order processing method described above. Specifically, in conjunction with... Figure 7 Please provide a detailed explanation.

[0184] Figure 7 This is a schematic diagram illustrating the structure of an order processing device based on a product customization party according to one embodiment.

[0185] like Figure 7 As shown, the order processing device 70 is applied to, for example... Figure 1 and Figure 2 The order processing system shown can be specifically applied to product customizers within the order processing system. The order processing device 70 may specifically include:

[0186] The sending module 701 is used to send product order information to the product platform based on the product order information with the product manufacturer. The product order information is used to request the augmented reality image of the sample product. The sample product is a product produced based on the customized product information corresponding to the product order information.

[0187] The receiving module 702 is used to receive a product confirmation instruction sent by the product platform, which includes an augmented reality image.

[0188] Display module 703 is used to display the augmented reality images;

[0189] The sending module 701 is also used to send first feedback information to the product platform when it receives a confirmation input from the customizer regarding the sample product. The first feedback information is used to characterize that the sample product meets the product customization conditions.

[0190] Based on this, the order processing device 70 provided in the embodiments of this application will be described in detail below.

[0191] In one or more possible embodiments, the order processing device 70 provided in this application embodiment may further include a calculation module for calculating the sample production time limit of the sample product based on the product order information with the product manufacturer;

[0192] The sending module 701 can also be used to send an order fulfillment request to the product platform when it is determined that the sample production time limit in the product order information meets the preset time limit. The order fulfillment request includes the product order information and is used to request the augmented reality image of the sample product obtained based on the product order information.

[0193] In another or more possible embodiments, the receiving module 702 is further configured to receive modification information of the sample product input by the customer when no definite input of the customer on the sample product is received from the customer.

[0194] The sending module 701 is also used to send second feedback information to the product platform. The second feedback information includes modification information of the sample product, and the revision information of the sample product is used to adjust the sample product.

[0195] In another or more possible embodiments, the order processing device 70 provided in the application embodiment may further include an adjustment module, used to adjust the augmented reality image of the sample product based on the modification information to obtain the augmented reality image of the revised product, wherein the revised product is the product after adjusting the sample product based on the modification information;

[0196] The sending module 701 is also used to send third feedback information to the product platform, the third feedback information including the augmented reality image of the revised product.

[0197] Based on the same inventive concept, this application provides an order processing apparatus corresponding to the order processing method described above. Specifically, in conjunction with... Figure 8 Please provide a detailed explanation.

[0198] Figure 8 This is a schematic diagram illustrating the structure of an order processing device based on a product manufacturer according to one embodiment.

[0199] like Figure 8 As shown, the order processing device 80 is applied to, for example... Figure 1 and Figure 2 The order processing system shown can be specifically applied to product manufacturers within the order processing system. The order processing device 80 may specifically include:

[0200] Display module 801 is used to display first prompt information based on product order information with product customizer. The first prompt information is used to prompt for taking an actual image of the sample product. The sample product is a product produced based on customized product information corresponding to the product order information.

[0201] The acquisition module 802 is used to receive a second input from the user taking a picture of the sample product and acquire an actual image of the sample product;

[0202] The sending module 803 is used to send augmented reality images of sample products to the product platform. The augmented reality images are determined from the actual images.

[0203] The display module 804 is used to display a second prompt message when a batch production instruction is received from the product platform. The second prompt message is used to prompt the customer to customize the product based on the sample product in the batch production process.

[0204] Based on this, the order processing device 80 provided in the embodiments of this application will be described in detail below.

[0205] In one or more possible embodiments, the order processing apparatus 80 provided in this application further includes a screening module; wherein,

[0206] The acquisition module 802 can also be used to receive a second input from the user taking a picture of the sample product and to acquire the product specifications of the sample product.

[0207] The filtering module is used to filter the target shooting method corresponding to the product specifications from multiple shooting methods of the sample product based on the product specifications of the sample product. The product specifications include at least one of the following: product size, product model, and product weight.

[0208] The acquisition module 802 can also be used to acquire actual images of sample products based on the target shooting method.

[0209] In another or more possible embodiments, the order processing apparatus 80 provided in this application further includes a first control module and a first determination module; wherein,

[0210] The first control module is used to control the rotation direction, rotation speed and lifting position of the rotating tray to capture product images when the product specifications of the sample product meet the preset conditions, the target shooting method is to capture images by connecting to the rotating tray, and the sample product is placed on the rotating tray.

[0211] The first determining module is used to determine that the acquired product image is the actual image of the sample product if the acquired product image meets the conditions for generating augmented reality images.

[0212] In another or more possible embodiments, the order processing apparatus 80 provided in this application further includes a second control module and a second determination module; wherein,

[0213] The second control module is used to control the sliding angle, interaction speed, and lifting position of the sliding rail based on the shooting angle of the sample product when the product specifications of the sample product do not meet the preset conditions, the target shooting method is to capture images by connecting to the sliding rail, and the electronic device for capturing the sample product is set on the sliding rail. This allows the electronic device to capture product images according to the sliding angle, interaction speed, and lifting position of the sliding rail.

[0214] The second determining module is used to determine that the acquired product image is the actual image of the sample product if the acquired product image meets the conditions for generating augmented reality images.

[0215] In another or more possible embodiments, the order processing apparatus 80 provided in this application further includes a third determining module, a data acquisition module, and a fourth determining module; wherein,

[0216] The acquisition module 802 is also used to receive a second input from the user to photograph the sample product and to acquire a preview interface of the photographed sample product;

[0217] The third determining module is used to determine the moving angle and moving direction based on the position of the sample product in the preview interface;

[0218] The display module 801 is also used to display shooting prompt information, which includes the movement angle and movement direction. The shooting prompt information is used to prompt the user to move the electronic device for shooting the sample product according to the movement angle and movement direction.

[0219] The acquisition module is used to acquire product images when it detects that the electronic device is taking pictures of the sample product at the moving angle and in the moving direction;

[0220] The fourth determination module is used to determine that the acquired product image is the actual image of the sample product if the acquired product image meets the conditions for generating augmented reality images.

[0221] In summary, by leveraging product order information from both the product customizer and the product manufacturer, augmented reality (AR) images of sample products are obtained. These sample products are manufactured based on customized product information corresponding to the order details. A product confirmation instruction, including the AR image, is then sent to the product customizer, instructing them to determine whether the sample product meets the customization requirements based on the AR image. Therefore, for wholesale trade scenarios, AR technology enables remote product experience and transactions. Overseas customizers located far from the product manufacturing site can project AR images of sample products into the buyer's real-world environment via their own user terminals. This allows for a more vivid and intuitive presentation of the sample product to the customizer, enabling them to confirm whether the sample product meets their expectations. Furthermore, overseas customizers can promptly and remotely track the matching degree between the customized sample product and the buyer's needs after placing an order, eliminating the need for overseas customizers to send staff to the product manufacturer for on-site inspection. This reduces workload and lowers the rate of returns and disputes. Furthermore, upon receiving the initial feedback from the product customizer, a mass production instruction can be sent to the product manufacturer. This instruction instructs the manufacturer to mass-produce the customized product based on the sample product. Therefore, the order processing method provided in this application can also offer feedback functionality to the customizer. For example, the customizer can submit modification suggestions and product comments based on the augmented reality image of the sample product. The manufacturer can then adjust the sample product based on these suggestions and comments. Once the customizer confirms that the sample product meets the buyer's expectations, mass production of the customized product can proceed based on the sample product. This improves production efficiency while reducing transaction costs for both trading parties, enhancing the user experience for all parties involved in international trade.

[0222] Figure 9 This is a schematic diagram illustrating the hardware structure of a computer device according to one embodiment.

[0223] like Figure 9 As shown, the computer device 900 includes an input device 901, an input interface 902, a processor 903, a memory 904, an output interface 905, and an output device 906.

[0224] Input interface 902, processor 903, memory 904, and output interface 905 are interconnected via bus 910. Input device 901 and output device 906 are connected to bus 910 via input interface 902 and output interface 905, respectively, and thus connected to other components of computer device 900. Specifically, input device 901 receives input information from the outside and transmits the input information to processor 903 via input interface 902; processor 903 processes the input information based on computer-executable instructions stored in memory 904 to generate output information, temporarily or permanently stores the output information in memory 904, and then transmits the output information to output device 906 via output interface 905; output device 906 outputs the output information to the outside of computer device 900 for user use.

[0225] In one embodiment, Figure 9 The computer device 900 shown can be implemented as an order processing device, which may include: a memory configured to store a program; and a processor configured to run the program stored in the memory to perform the order processing method described in the above embodiments.

[0226] In one embodiment, the memory can also be used to store product order information and augmented reality images from the product customizer and the product manufacturer, as well as in combination with the above. Figures 1 to 5 The calculation results for each step in the order processing described.

[0227] According to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as a computer-readable storage medium. For example, embodiments of this application include a computer-readable storage medium that stores a program or instructions on the medium, which, when executed by a computer device, causes the computer device to perform the steps of the above-described method.

[0228] According to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network, and / or installed from a removable storage medium.

[0229] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions that, when run on a computer, cause the computer to perform the methods described in the various embodiments above. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state drives), etc.

[0230] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0231] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. An order processing method applied to a product platform, comprising: In the scenario of cross-border wholesale trade, according to product order information of a product customization party and a product production party, an augmented reality image of a sample product is obtained, the sample product being a product produced based on customization product information corresponding to the product order information; A product confirmation instruction is sent to the product customization party, the product confirmation instruction including the augmented reality image, the product confirmation instruction being used to instruct the product customization party to determine whether the sample product meets a customization condition based on the augmented reality image; In a case where first feedback information sent by the product customization party is received, a batch production instruction is sent to the product production party, the batch production instruction being used to instruct the product production party to produce products customized by the product customization party in batches based on the sample product; Second feedback information sent by the product customization party is received, the second feedback information including modification information of the sample product; based on the modification information of the sample product, a sample modification instruction is sent to the product production party, the sample modification instruction being used to instruct the product customization party to adjust the sample product based on the modification information; Revision feedback information sent by the product production party is received, the revision feedback information including an augmented reality image of a revised product, the revised product being a product obtained by adjusting the sample product based on the modification information; a revised product confirmation instruction is sent to the product customization party, the revised product confirmation instruction including the augmented reality image of the revised product, the revised product confirmation instruction being used to instruct the product customization party to determine whether the revised product meets the customization condition based on the augmented reality image of the revised product.

2. The method of claim 1, wherein, The augmented reality image of the sample product is obtained according to the product order information of the product customization party and the product production party, comprising: An order fulfillment request sent by the product customization party is received, the order fulfillment request including product order information; Based on the order fulfillment request, product order information of the product customization party and the product production party is obtained; Based on the product order information, a first shooting instruction is sent to the product production party, the first shooting instruction being used to instruct the product production party to shoot an actual image of a sample product and generate an augmented reality image based on the actual image; In a case where first shooting information sent by the product customization party is received, the augmented reality image is obtained from the first shooting information.

3. The method of claim 1, wherein, The augmented reality image of the sample product is obtained according to the product order information of the product customization party and the product production party, comprising: Product order information sent by the product production party is received, the product order information including an actual image of a sample product shot by the product production party; The actual image is processed by a preset augmented reality algorithm to obtain the augmented reality image of the sample product.

4. The method of claim 1, wherein, The augmented reality image of the sample product is obtained according to the product order information of the product customization party and the product production party, comprising: Product order information of the product customization party and the product production party is obtained, the product order information including a sample production time limit; In a case where it is determined that the sample production time limit in the product order information meets a preset time limit, a second shooting instruction is sent to the product producer, the second shooting instruction being used to instruct the product producer to shoot an actual image of a sample product, and an augmented reality image is generated based on the actual image; In a case where the second shooting information sent by the product producer is received, the augmented reality image is obtained from the second shooting information.

5. The method of claim 1, wherein, The method further includes: Third feedback information sent by the product customizer is received, the third feedback information including an augmented reality image of a revised product, the revised product being a product after adjustment of the sample product; Based on the augmented reality image of the revised product, revised information of the sample product is obtained; A sample re-production instruction is sent to the product producer, the sample re-production instruction including the augmented reality image of the revised product and the revised information, the sample re-production instruction being used to instruct the product producer to re-produce a sample product based on the augmented reality image of the revised product and the revised information.

6. An order processing method applied to a product customizer, including: In a cross-border wholesale trade scenario, based on product order information with a product producer, product order information is sent to a product platform, the product order information being used to request an augmented reality image of a sample product, the sample product being a product produced based on custom product information corresponding to the product order information; A product confirmation instruction sent by the product platform is received, the product confirmation instruction including the augmented reality image of the sample product; The augmented reality image of the sample product is displayed; In a case where a determination input of the sample product by the customizer is received, first feedback information is sent to the product platform, the first feedback information being used to represent that the sample product meets a product customization condition; Second feedback information is sent to the product platform, the second feedback information including modification information of the sample product, so that the product platform sends a sample revision instruction to the product producer based on the revised information of the sample product, the sample revision instruction being used to instruct the product customizer to adjust the sample product based on the revised information; A revised product confirmation instruction sent by the product platform is received, the revised product confirmation instruction including an augmented reality image of a revised product, the revised product confirmation instruction being used to instruct the product customizer to determine whether the revised product meets the customization condition based on the augmented reality image of the revised product.

7. An order processing method applied to a product producer, including: In a cross-border wholesale trade scenario, based on product order information with a product customizer, a first prompt information is displayed, the first prompt information being used to prompt to shoot an actual image of a sample product, the sample product being a product produced based on custom product information corresponding to the product order information; Second input of a user shooting the sample product is received, and an actual image of the sample product is obtained; An augmented reality image of the sample product is sent to a product platform, the augmented reality image being determined from the actual image; in response to receiving the batch production instruction sent by the product platform, displaying second prompt information for prompting the product customization party to produce the product based on the sample product; receiving sample revision instruction sent by the product platform, the sample revision instruction being used to instruct the product customization party to adjust the sample product based on revision information; sending revision feedback information to the product platform, the revision feedback information including an augmented reality image of a revised product, the revised product being a product produced based on the sample product adjusted based on the revision information, so that the product platform sends revised product confirmation instruction to the product customization party, the revised product confirmation instruction including the augmented reality image of the revised product, the revised product confirmation instruction being used to instruct the product customization party to determine whether the revised product meets the customization condition based on the augmented reality image of the revised product. 8.An order processing apparatus applied to a product platform, comprising: an obtaining module configured to, in a cross-border wholesale trade scenario, obtain an augmented reality image of a sample product based on product order information of a product customization party and a product production party, the sample product being a product produced based on customization product information corresponding to the product order information; a sending module configured to send product confirmation instruction to the product customization party, the product confirmation instruction including the augmented reality image, the product confirmation instruction being used to instruct the product customization party to determine whether the sample product meets a customization condition based on the augmented reality image; the sending module is further configured to, in response to receiving first feedback information sent by the product customization party, send batch production instruction to the product production party, the batch production instruction being used to instruct the product production party to produce the product customized by the product customization party based on the sample product; an receiving module configured to receive second feedback information sent by the product customization party, the second feedback information including modification information of the sample product; and send sample revision instruction to the product production party based on the revision information of the sample product, the sample revision instruction being used to instruct the product customization party to adjust the sample product based on the revision information; the receiving module is further configured to receive revision feedback information sent by the product production party, the revision feedback information including an augmented reality image of a revised product, the revised product being a product produced based on the sample product adjusted based on the revision information; and send revised product confirmation instruction to the product customization party, the revised product confirmation instruction including the augmented reality image of the revised product, the revised product confirmation instruction being used to instruct the product customization party to determine whether the revised product meets the customization condition based on the augmented reality image of the revised product. 9.An order processing apparatus applied to a product customization party, comprising: The sending module is configured to send, in a cross-border wholesale trade scenario, product order information to a product platform based on the product order information of a product producer, the product order information being used to request an augmented reality image of a sample product, the sample product being a product produced based on customized product information corresponding to the product order information. The receiving module is configured to receive a product confirmation instruction sent by the product platform, the product confirmation instruction including the augmented reality image. The display module is configured to display the augmented reality image. The sending module is further configured to send first feedback information to the product platform if a determination input of a customizer on the sample product is received, the first feedback information being used to represent that the sample product meets product customization conditions. The sending module is further configured to send second feedback information to the product platform, the second feedback information including modification information of the sample product, so that the product platform sends a sample revision instruction to the product producer based on the modification information of the sample product, the sample revision instruction being used to instruct the product customizer to adjust the sample product based on the modification information. The receiving module is further configured to receive a revised product confirmation instruction sent by the product platform, the revised product confirmation instruction including an augmented reality image of a revised product, the revised product confirmation instruction being used to instruct the product customizer to determine whether the revised product meets the customization conditions based on the augmented reality image of the revised product.

10. An order processing device applied to a product producer, comprising: The display module is configured to display first prompt information in a cross-border wholesale trade scenario based on product order information of a product customizer, the first prompt information being used to prompt to shoot an actual image of a sample product, the sample product being a product produced based on customized product information corresponding to the product order information. The acquisition module is configured to receive a second input of a user shooting the sample product and acquire the actual image of the sample product. The sending module is configured to send an augmented reality image of the sample product to a product platform, the augmented reality image being determined by the actual image. The display module is configured to display second prompt information if a batch production instruction sent by the product platform is received, the second prompt information being used to prompt to produce the product customized by the product customizer based on the sample product. The receiving module is configured to receive a sample revision instruction sent by the product platform, the sample revision instruction being used to instruct the product customizer to adjust the sample product based on revision information. The sending module is further configured to send revision feedback information to the product platform, the revision feedback information comprising an augmented reality image of a revised product, the revised product being a product obtained by adjusting the sample product based on the revision information, so that the product platform sends a revised product confirmation instruction to the product customization party, the revised product confirmation instruction comprising the augmented reality image of the revised product, and the revised product confirmation instruction being used to instruct the product customization party to determine whether the revised product meets a customization condition based on the augmented reality image of the revised product.

11. A computer device comprising: a memory and a processor, The memory is configured to store a computer program. The processor is configured to execute the computer program stored in the memory, and the computer program, when executed, causes the processor to perform the steps of the order processing method in any one of claims 1 to 7. 12.A computer readable storage medium, on which a program or instructions are stored, and the program or instructions, when executed by a computer device, cause the computer device to perform the steps of the order processing method in any one of claims 1 to 7.

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