Item difference processing method, device, equipment, computer readable medium and product

Abstract

Embodiments of the present disclosure disclose an article difference processing method, device, equipment, computer readable medium and product. A specific implementation of the method comprises: generating a shelving task information according to the acceptance information of a corresponding target article; identifying an actual acceptance quantity of the corresponding target article according to an acceptance video corresponding to the target article; in response to determining that the actual acceptance quantity meets an acceptance difference condition corresponding to the entered acceptance quantity, performing a deduction process on the quantity of articles to be shelved included in the shelving task information to update the shelving task information; identifying an actual shelving quantity of the corresponding target article according to a shelving video corresponding to the target article; in response to determining that the actual shelving quantity meets a shelving difference condition, generating an abnormal shelving record corresponding to the shelving task information, the shelving difference condition corresponding to the quantity of articles to be shelved included in the shelving task information. The implementation is related to intelligent logistics, reduces the accumulation of articles to be shelved, and enhances the processing timeliness of less goods.

Description

Technical Field

[0001] Embodiments of this disclosure relate to the field of computer technology, and more specifically to methods, apparatus, devices, computer-readable media, and products for handling article discrepancies. Background Technology

[0002] With the development of computer network technology, the volume of goods flowing through the goods information platform is increasing, and the number of goods requiring warehousing is also increasing. The warehousing process mostly involves acceptance first, followed by shelving. The database generates shelving tasks based on the acceptance results. When the actual shelving quantity is less than the quantity required by the shelving task, the current common practice is: the shelving staff first registers the discrepancy, and then a specialist needs to investigate the specific reasons for the shortage.

[0003] However, the inventors discovered that when using the above method, the following technical problems often exist: the stocking staff's registration of stocking discrepancies leads to low stocking efficiency, resulting in a large backlog of items to be stocked, and the process of investigating the specific reasons for shortages is lengthy, leading to delays in handling shortages.

[0004] The information disclosed in this background section is only intended to enhance the understanding of the background of the inventive concept, and therefore may contain information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The summary portion of this disclosure is intended to provide a brief overview of the concepts, which will be described in detail in the detailed description portion. This summary portion is not intended to identify key or essential features of the claimed technical solutions, nor is it intended to limit the scope of the claimed technical solutions.

[0006] Some embodiments of this disclosure provide methods, apparatus, electronic devices, computer-readable media, and computer program products for handling article discrepancies to address one or more of the technical problems mentioned in the background section above.

[0007] In a first aspect, some embodiments of this disclosure provide a method for handling item discrepancies. The method includes: generating shelf-listing task information based on acceptance information of a corresponding target item, wherein the acceptance information includes the entered acceptance quantity, and the shelf-listing task information includes the quantity of items to be shelf-listed; identifying the actual acceptance quantity of the corresponding target item based on an acceptance video of the corresponding target item; in response to determining that the actual acceptance quantity meets the acceptance discrepancy condition corresponding to the entered acceptance quantity, deducting the quantity of items to be shelf-listed included in the shelf-listing task information to update the shelf-listing task information; identifying the actual shelf-listed quantity of the corresponding target item based on the shelf-listing video of the corresponding target item; and in response to determining that the actual shelf-listed quantity meets the shelf-listing discrepancy condition, generating an abnormal shelf-listing record corresponding to the shelf-listing task information, wherein the shelf-listing discrepancy condition corresponds to the quantity of items to be shelf-listed included in the shelf-listing task information.

[0008] Optionally, the acceptance information also includes an acceptance user identifier; and the above-mentioned identification of the actual acceptance quantity of the target item based on the acceptance video of the target item includes: obtaining the acceptance video of the acceptance user with the acceptance user identifier when accepting the target item; and identifying the actual acceptance quantity of the target item accepted by the acceptance user based on the acceptance video.

[0009] Optionally, the method further includes: in response to determining that the actual acceptance quantity satisfies the acceptance difference condition corresponding to the recorded acceptance quantity, and that the actual acceptance quantity is less than the recorded acceptance quantity, expanding the quantity to be accepted corresponding to the inbound slip of the target item based on the actual acceptance quantity and the recorded acceptance quantity.

[0010] Optionally, the aforementioned listing task information also includes a listing task identifier; and the aforementioned identification of the actual listing quantity of the target item based on the listing video of the target item includes: obtaining a listing message corresponding to the listing task identifier, wherein the listing message includes the listing task identifier, the listing user identifier, the listing storage location information, and the number of listed items; obtaining a listing video of the listing user corresponding to the listing user identifier listing the target item at the listing storage location corresponding to the listing storage location information; and identifying the actual listing quantity of the target item listed by the listing user based on the listing video.

[0011] Optionally, before identifying the actual number of items listed based on the listing videos corresponding to the target items, the method further includes: determining each aisle identifier corresponding to the listing task identifier; obtaining each aisle video corresponding to each aisle identifier; identifying whether the target items exist in each aisle video; in response to determining that the target items exist in the aisle videos, identifying the number of target items in the aisle videos as the number of lost items; and deducting the number of items to be listed included in the listing task information based on the number of lost items, so as to update the listing task information.

[0012] Optionally, the method further includes: generating a search task information based on the item information of the target item, the passageway sign corresponding to the passageway video, and the number of lost items; and sending the search task information to the discrepancy processing terminal.

[0013] Optionally, the method further includes: generating acceptance difference information in response to determining that the actual acceptance quantity meets the acceptance difference conditions; sending the acceptance difference information to the difference processing terminal; generating shelf difference information in response to determining that the actual shelf quantity meets the shelf difference conditions; and sending the shelf difference information to the difference processing terminal.

[0014] Optionally, the method further includes: in response to determining that the acceptance and shelving of the target items have been completed, performing the following steps: performing full order acceptance processing on the warehouse receipt of the target items; in response to determining that the quantity of the target items shelved is less than the shipment quantity included in the warehouse receipt, generating non-in-warehouse out-of-stock information.

[0015] Secondly, some embodiments of this disclosure provide an item discrepancy processing apparatus, comprising: a first generation unit configured to generate shelf-listing task information based on acceptance information of a corresponding target item, wherein the acceptance information includes the entered acceptance quantity and the shelf-listing task information includes the quantity of items to be shelf-listed; a first identification unit configured to identify the actual acceptance quantity of the corresponding target item based on an acceptance video of the corresponding target item; a deduction unit configured to, in response to determining that the actual acceptance quantity meets the acceptance discrepancy condition corresponding to the entered acceptance quantity, deduct the quantity of items to be shelf-listed included in the shelf-listing task information to update the shelf-listing task information; a second identification unit configured to identify the actual shelf-listed quantity of the corresponding target item based on a shelf-listing video of the corresponding target item; and a second generation unit configured to, in response to determining that the actual shelf-listed quantity meets the shelf-listing discrepancy condition, generate an abnormal shelf-listing record corresponding to the shelf-listing task information, wherein the shelf-listing discrepancy condition corresponds to the quantity of items to be shelf-listed included in the shelf-listing task information.

[0016] Optionally, the acceptance information may also include the acceptance user identifier.

[0017] Optionally, the first identification unit is further configured to: acquire an acceptance video of the acceptance user corresponding to the above-mentioned acceptance user identifier when accepting the above-mentioned target items; and identify the actual number of the above-mentioned target items accepted by the above-mentioned acceptance user based on the above-mentioned acceptance video.

[0018] Optionally, the item discrepancy processing device further includes: an expansion unit configured to, in response to determining that the actual acceptance quantity meets the acceptance discrepancy condition corresponding to the recorded acceptance quantity, and that the actual acceptance quantity is less than the recorded acceptance quantity, expand the quantity to be accepted corresponding to the warehouse entry slip of the target item based on the actual acceptance quantity and the recorded acceptance quantity.

[0019] Optionally, the above-mentioned task listing information may also include a task listing identifier.

[0020] Optionally, the second identification unit is further configured to: obtain a listing message corresponding to the listing task identifier, wherein the listing message includes the listing task identifier, the listing user identifier, the listing storage location information, and the number of listed items; obtain a listing video of the listing user corresponding to the listing user identifier listing the target items at the listing storage location corresponding to the listing storage location information; and identify the actual number of the target items listed by the listing user based on the listing video.

[0021] Optionally, prior to the second identification unit, the item difference processing device further includes: a determining unit, an acquiring unit, an item identification unit, a quantity identification unit, and a deduction unit. The determining unit is configured to determine each aisle identifier corresponding to the aforementioned shelf-listing task identifier. The acquiring unit is configured to acquire each aisle video corresponding to the aforementioned aisle identifier. The item identification unit is configured to identify whether the target item exists in each aisle video. The quantity identification unit is configured to, in response to determining that the target item exists in the aisle videos, identify the quantity of the target item in the aisle videos as the quantity of lost items. The deduction unit is configured to deduct the quantity of items to be shelf-listed included in the shelf-listing task information based on the quantity of lost items, thereby updating the shelf-listing task information.

[0022] Optionally, the item discrepancy processing device further includes: a locator task information generation unit and a first sending unit. The locator task information generation unit is configured to generate locator task information based on the item information of the target item, the aisle markers corresponding to the aisle video, and the quantity of the lost item. The first sending unit is configured to send the locator task information to the discrepancy processing terminal.

[0023] Optionally, the item discrepancy processing device further includes: an acceptance discrepancy information generation unit, a second sending unit, a shelving discrepancy information generation unit, and a third sending unit. The acceptance discrepancy information generation unit is configured to generate acceptance discrepancy information in response to determining that the actual accepted quantity meets the acceptance discrepancy conditions. The second sending unit is configured to send the acceptance discrepancy information to the discrepancy processing terminal. The shelving discrepancy information generation unit is configured to generate shelving discrepancy information in response to determining that the actual shelving quantity meets the shelving discrepancy conditions. The third sending unit is configured to send the shelving discrepancy information to the discrepancy processing terminal.

[0024] Optionally, the item discrepancy processing device further includes: an execution unit configured to, in response to determining that the acceptance and shelving of the target item has been completed, perform the following steps: perform full order acceptance processing on the warehouse receipt of the target item; and, in response to determining that the quantity of the target item shelved is less than the shipment quantity included in the warehouse receipt, generate non-in-warehouse out-of-stock information.

[0025] Thirdly, some embodiments of this disclosure provide an electronic device, including: one or more processors; and a storage device having one or more programs stored thereon, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any implementation of the first aspect above.

[0026] Fourthly, some embodiments of this disclosure provide a computer-readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect above.

[0027] Fifthly, some embodiments of this disclosure provide a computer program product, including a computer program that, when executed by a processor, implements the method described in any of the implementations of the first aspect above.

[0028] The above-described embodiments of this disclosure have the following beneficial effects: The item discrepancy handling method of some embodiments of this disclosure reduces the accumulation of items to be shelved and enhances the timeliness of handling shortages. Specifically, the reason for the large accumulation of items to be shelved and the delay in handling shortages is that the shelving staff's recording of shelving discrepancies leads to low shelving efficiency, resulting in a large accumulation of items to be shelved. The process of investigating the specific reasons for shortages is lengthy, leading to a delay in handling shortages. Based on this, the item discrepancy handling method of some embodiments of this disclosure first generates shelving task information based on the acceptance information of the corresponding target item. The acceptance information includes the entered acceptance quantity. The shelving task information includes the quantity of items to be shelved. Therefore, a shelving task can be automatically generated based on the acceptance record after the items are accepted. Then, the actual acceptance quantity of the corresponding target item is identified based on the acceptance video of the target item. Therefore, the actual quantity of items accepted can be identified. Subsequently, in response to determining that the actual number of accepted items meets the acceptance difference condition corresponding to the recorded acceptance quantity, the quantity of items to be listed in the listing task information is deducted to update the listing task information. Therefore, when there is a difference between the actual number of accepted items and the recorded quantity, the quantity of items to be listed in the listing task is automatically deducted, allowing the cause of the difference to be directly located at the acceptance stage without needing to investigate further stages. Secondly, based on the listing video of the target item, the actual number of items listed is identified. This allows the actual number of items listed to be identified. Finally, in response to determining that the actual number of listed items meets the listing difference condition, an abnormal listing record is generated for the corresponding listing task information. The listing difference condition corresponds to the quantity of items to be listed included in the listing task information. Therefore, when there is a difference between the actual number of listed items and the quantity of items to be listed, an abnormal listing record is automatically generated, allowing the cause of the difference to be directly located at the listing stage without needing to investigate further stages. Because the quantity discrepancies of items during the acceptance and shelving processes are automatically determined through comparison, manual registration by shelving staff is unnecessary. Staff only need to perform the shelving operations without needing to monitor quantity differences, thus improving shelving efficiency and reducing the backlog of items awaiting shelving. Furthermore, the system automatically pinpoints the stage at which discrepancies arise based on comparisons during acceptance and shelving, simplifying the process of investigating shortages and improving the timeliness of handling shortages. Therefore, it reduces the backlog of items awaiting shelving and enhances the efficiency of handling shortages. Attached Figure Description

[0029] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and elements are not necessarily drawn to scale.

[0030] Figure 1 This is an architecture diagram of an exemplary system to which some embodiments of this disclosure can be applied;

[0031] Figure 2 This is a schematic diagram illustrating an application scenario of an article difference processing method according to some embodiments of the present disclosure;

[0032] Figure 3 This is a flowchart of some embodiments of the article difference handling method according to this disclosure;

[0033] Figure 4 These are flowcharts of other embodiments of the article difference handling method according to this disclosure;

[0034] Figure 5 This is a schematic diagram of the structure of some embodiments of the article difference processing device according to the present disclosure;

[0035] Figure 6 This is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present disclosure. Detailed Implementation

[0036] Embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. While some embodiments of this disclosure are shown in the drawings, it should be understood that this disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this disclosure. It should be understood that the accompanying drawings and embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of protection of this disclosure.

[0037] It should also be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings. Unless otherwise specified, the embodiments and features described in this disclosure can be combined with each other.

[0038] It should be noted that the concepts of "first" and "second" mentioned in this disclosure are used only to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.

[0039] It should be noted that the terms "a" and "a plurality of" used in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0040] The names of messages or information exchanged between multiple devices in the embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

[0041] Before performing any of the operations involving the collection, storage, and use of user personal information (such as acceptance videos and uploaded videos) as disclosed in this disclosure, the relevant organizations or individuals shall fulfill their obligations, including conducting personal information security impact assessments, informing personal information subjects, and obtaining prior authorization and consent from personal information subjects.

[0042] This disclosure will now be described in detail with reference to the accompanying drawings and embodiments.

[0043] Figure 1 An exemplary system architecture 100 is shown that can be applied to an article difference processing method or article difference processing apparatus according to some embodiments of the present disclosure.

[0044] like Figure 1 As shown, system architecture 100 may include terminal devices 101, 102, and 103, a network 104, and a server 105. Network 104 serves as the medium for providing communication links between terminal devices 101, 102, and 103 and server 105. Network 104 may include various connection types, such as wired or wireless communication links, or fiber optic cables, etc.

[0045] Users can use terminal devices 101, 102, and 103 to interact with server 105 via network 104 to receive or send messages, etc. Various communication client applications can be installed on terminal devices 101, 102, and 103, such as web browser applications, product inspection and listing applications, search applications, instant messaging tools, email clients, social media platform software, etc.

[0046] Terminal devices 101, 102, and 103 can be either hardware or software. When terminal devices 101, 102, and 103 are hardware, they can be various electronic devices with displays that support information display, including but not limited to smartphones, tablets, e-book readers, laptops, and desktop computers. When terminal devices 101, 102, and 103 are software, they can be installed in the aforementioned electronic devices. They can be implemented as, for example, multiple software programs or software modules used to provide distributed services, or as a single software program or software module. No specific limitations are imposed here.

[0047] Server 105 can be a server that provides various services, such as a backend server that supports the information displayed on terminal devices 101, 102, and 103. The backend server can analyze and process received requests and other data, and then feed the processing results back to the terminal devices.

[0048] It should be noted that the item discrepancy processing method provided in the embodiments of this disclosure can be executed by server 105. Accordingly, the item discrepancy processing device can be set in server 105. No specific limitation is made here.

[0049] It should be noted that a server can be either hardware or software. When the server is hardware, it can be implemented as a distributed server cluster consisting of multiple servers, or as a single server. When the server is software, it can be implemented as multiple software programs or software modules used to provide distributed services, or as a single software program or software module. No specific limitations are made here.

[0050] It should be understood that Figure 1 The number of terminal devices, networks, and servers shown is merely illustrative. Depending on implementation needs, any number of terminal devices, networks, and servers can be included.

[0051] Figure 2 This is a schematic diagram illustrating an application scenario of an article difference processing method according to some embodiments of the present disclosure.

[0052] exist Figure 2 In the application scenario, firstly, the computing device 201 can generate shelf-listing task information 203 based on the acceptance information 202 of the corresponding target item. The acceptance information 202 includes the entered acceptance quantity, and the shelf-listing task information 203 includes the quantity of items to be shelf-listed. Then, the computing device 201 can identify the actual accepted quantity 205 of the corresponding target item based on the acceptance video 204. Next, in response to determining that the actual accepted quantity 205 meets the acceptance difference condition 206 corresponding to the entered acceptance quantity, the computing device 201 can deduct the quantity of items to be shelf-listed included in the shelf-listing task information 203 to update the shelf-listing task information. Secondly, the computing device 201 can identify the actual shelf-listed quantity 208 of the corresponding target item based on the shelf-listing video 207. Finally, in response to determining that the actual shelf-listed quantity 208 meets the shelf-listing difference condition 209, the computing device 201 can generate an abnormal shelf-listing record 210 corresponding to the shelf-listing task information 203. Among them, the listing difference condition 209 corresponds to the listing task information 203, which includes the number of items to be listed.

[0053] It should be noted that the aforementioned computing device 201 can be either hardware or software. When the computing device is hardware, it can be implemented as a distributed cluster consisting of multiple servers or terminal devices, or as a single server or a single terminal device. When the computing device is software, it can be installed in the hardware devices listed above. It can be implemented as, for example, multiple software programs or software modules used to provide distributed services, or as a single software program or software module. No specific limitations are made here.

[0054] It should be understood that Figure 2 The number of computing devices shown is merely illustrative. Any number of computing devices can be used depending on implementation needs.

[0055] Continue to refer to Figure 3 The diagram illustrates a flow 300 of some embodiments of an article discrepancy handling method according to the present disclosure. This article discrepancy handling method includes the following steps:

[0056] Step 301: Generate listing task information based on the acceptance information of the corresponding target item.

[0057] In some embodiments, the entity executing the item difference processing method (e.g.) Figure 1 The server shown can generate shelving task information based on the acceptance information of the corresponding target item. The target item can be any item to be put into storage. The acceptance information can be related to the operation records of the acceptance user when accepting the target item. The acceptance information can include the entered acceptance quantity. The entered acceptance quantity can be the total number of target items scanned by the acceptance user. The acceptance information may also include, but is not limited to, the item identifier of the target item. The shelving task information can be a task representing the shelving of the accepted target item. The shelving task information can include the quantity of items to be shelved. The shelving task information may also include, but is not limited to, the item identifier of the target item, the user identifier of the acceptance user, and the shelving storage location information. The shelving storage location information can be the storage location where the target item needs to be shelved. In practice, the executing entity can determine the entered acceptance quantity as the quantity of items to be shelved. Then, the item identifier of the target item, the user identifier of the acceptance user, and the quantity of items to be shelved can be determined as the shelving task information.

[0058] Step 302: Identify the actual quantity of the corresponding target item that was inspected based on the inspection video of the target item.

[0059] In some embodiments, the executing entity can identify the actual quantity of the target items being inspected based on the inspection video corresponding to the target items. The inspection video can be video captured by a camera in the inspection area during the inspection of the target items. In practice, the executing entity can use item recognition technology to identify the quantity of the target items in the inspection video as the actual quantity being inspected.

[0060] Optionally, the acceptance information may also include the acceptance user's identifier.

[0061] In some optional implementations of certain embodiments, the execution entity may identify the actual quantity of the target item being inspected based on the inspection video of the target item through the following steps:

[0062] The first step is to obtain the acceptance video of the user corresponding to the aforementioned acceptance user identifier during the acceptance of the aforementioned target item. In practice, the executing entity can obtain surveillance video showing the face of the aforementioned acceptance user and the aforementioned target item as the acceptance video.

[0063] The second step is to identify the actual quantity of the target items inspected by the inspecting user based on the aforementioned inspection video. In practice, the executing entity can use facial recognition and item recognition technologies to identify the actual quantity of the target items inspected by the inspecting user based on the inspection video. This allows for the identification of the actual quantity of target items inspected by the inspecting user.

[0064] Step 303: In response to determining that the actual acceptance quantity meets the acceptance difference condition of the corresponding entered acceptance quantity, the quantity of items to be put on the shelves included in the shelf task information is deducted to update the shelf task information.

[0065] In some embodiments, the executing entity may, in response to determining that the actual accepted quantity meets the acceptance difference condition corresponding to the entered accepted quantity, deduct the quantity of items to be put on shelves included in the shelf-listing task information to update the shelf-listing task information. The acceptance difference condition may be that the actual accepted quantity differs from the entered accepted quantity. In practice, the executing entity may determine the absolute value of the difference between the actual accepted quantity and the entered accepted quantity as the acceptance difference quantity. Then, the quantity of items to be put on shelves included in the shelf-listing task information may be updated to the difference between the quantity of items to be put on shelves and the acceptance difference quantity to update the shelf-listing task information.

[0066] Optionally, in response to determining that the actual accepted quantity meets the acceptance difference condition corresponding to the entered accepted quantity, and that the actual accepted quantity is less than the entered accepted quantity, the executing entity can expand the pending acceptance quantity corresponding to the receiving slip of the target item based on the actual accepted quantity and the entered accepted quantity. The receiving slip can be a document recording relevant information about the target item to be received. The receiving slip may include, but is not limited to, the item identifier, shipper information, and shipment quantity of the target item. The pending acceptance quantity corresponding to the receiving slip can be the quantity of the target item awaiting acceptance. In practice, the executing entity can first determine the difference between the entered accepted quantity and the actual accepted quantity. Then, the pending acceptance quantity can be updated to the sum of the pending acceptance quantity and the difference to expand the pending acceptance quantity corresponding to the receiving slip of the target item. Thus, when the actual accepted quantity is less than the entered accepted quantity, the pending acceptance quantity can be automatically supplemented.

[0067] Optionally, prior to step 304, the aforementioned execution entity may also perform the following steps:

[0068] The first step is to determine the various pathway markers corresponding to the aforementioned task upload marker. These pathway markers can be the markers of the various pathways that must be traversed to execute the task upload task corresponding to the aforementioned task upload marker.

[0069] The second step is to obtain the video footage of each passageway corresponding to the aforementioned passageway signs. In practice, for each passageway sign, the executing entity can obtain the surveillance video from the camera at the corresponding passageway sign during the execution time of the aforementioned task as the passageway video.

[0070] The third step is to identify whether the target item exists in the video feeds of each of the aforementioned aisles. In practice, the executing entity can use item recognition technology to identify whether the target item exists in the video feeds of each of the aforementioned aisles. In practice, the executing entity can also use item recognition technology and facial recognition technology to identify whether the face of the user who placed the item and the target item are both present in the video feeds of each of the aforementioned aisles.

[0071] The fourth step involves, in response to the determination that the target items exist in the aisle videos of each of the aforementioned aisle channels, identifying the quantity of the target items in the aisle videos as the quantity of lost items. In practice, the executing entity can use item recognition technology to identify the quantity of the target items in the aisle videos as the quantity of lost items. In practice, the executing entity can also use item recognition technology and facial recognition technology to identify the quantity of the target items dropped by the users who listed the items.

[0072] The fifth step involves deducting the number of items to be listed in the listing task information based on the number of lost items, thereby updating the listing task information. In practice, the executing entity can update the number of items to be listed in the listing task information to the difference between the number of items to be listed and the number of lost items, thus updating the listing task information. Therefore, when an item is detected to have fallen during the listing process, the number of items to be listed in the listing task information can be automatically deducted, allowing the cause of the discrepancy to be directly located at the listing stage without needing to investigate other stages.

[0073] Optionally, the aforementioned executing entity can also generate a retrieval task information based on the item information of the target item, the aisle markers corresponding to the aisle video, and the quantity of lost items. The item information may include, but is not limited to, item images, item identifiers, and item names. In practice, the executing entity can combine the item information, the aisle markers corresponding to the aisle video, and the quantity of lost items into the retrieval task information. Alternatively, the executing entity can combine the item information, the aisle markers corresponding to the aisle video, the quantity of lost items, the user identifier for the item being shelved, the last frame of the aisle video showing the item falling, the shelving task identifier, and the shelving location information into the retrieval task information. Then, the retrieval task information can be sent to a discrepancy processing terminal. This discrepancy processing terminal can be the terminal device logged into by the user handling quantity-related discrepancies during the shelving process. Thus, a discrepancy processing specialist corresponding to the discrepancy processing terminal can specifically handle lost items during the shelving process.

[0074] Step 304: Identify the actual number of items listed based on the listing video of the corresponding target item.

[0075] In some embodiments, the executing entity can identify the actual number of target items on the shelves based on the shelf-viewing video of the target item. The shelf-viewing video can be video captured by a camera at the shelf storage location in the shelf area when the target item is being shelved. In practice, the executing entity can use item recognition technology to identify the number of target items in the shelf-viewing video as the actual number of items on the shelves.

[0076] Optionally, the task listing information may also include a task listing identifier.

[0077] In some optional implementations of certain embodiments, the execution entity may identify the actual number of the target item listed based on the listing video of the target item through the following steps:

[0078] The first step is to obtain the listing message corresponding to the aforementioned listing task identifier. This listing message may include the listing task identifier, the listing user identifier, the listing storage location information, and the quantity of listed items. In practice, the executing entity can obtain listing messages with the same listing task identifier as the aforementioned task identifier. The listing message can be a record of items listed by the listing user. The quantity of listed items can be the recorded quantity of the aforementioned target items listed.

[0079] The second step is to obtain a video recording of the user, identified by the user ID, placing the target item at the storage location corresponding to the storage location information. In practice, the executing entity can obtain surveillance video showing the user's face and the target item at the storage location as the placement video.

[0080] The third step is to identify the actual quantity of the target items listed by the user based on the aforementioned listing video. In practice, the executing entity can use facial recognition and item recognition technologies to identify the actual quantity of the target items listed by the user based on the aforementioned listing video. Therefore, the actual quantity of the target items listed by the user can be identified.

[0081] Step 305: In response to determining that the actual number of items listed meets the listing discrepancy condition, an abnormal listing record with corresponding listing task information is generated.

[0082] In some embodiments, the executing entity may generate an abnormal listing record corresponding to the listing task information in response to determining that the actual number of items listed meets the listing discrepancy condition. The listing discrepancy condition corresponds to the number of items to be listed included in the listing task information. Specifically, the listing discrepancy condition can be that the actual number of items listed is less than the number of items to be listed included in the listing task information. In practice, the executing entity may determine the difference between the number of items to be listed and the actual number of items listed as the listing discrepancy value. Then, the item identifier of the target item, the user identifier of the user who listed the target item, the listing storage location information, and the listing task identifier may be determined as the abnormal listing record. The user who listed the target item may be the user who received the listing task information.

[0083] Optionally, the aforementioned executing entity can also deduct the number of listed items included in the listing message based on the aforementioned listing difference value. In practice, the aforementioned executing entity can update the number of listed items included in the listing message to the difference between the number of listed items and the aforementioned listing difference value. Therefore, when a user lists fewer items than required, the number of listed items recorded at the time of listing can be deducted.

[0084] Optionally, the aforementioned implementing entity may also perform the following steps:

[0085] The first step, in response to determining that the actual accepted quantity meets the aforementioned acceptance difference conditions, is to generate acceptance difference information. In practice, the executing entity can determine the difference between the entered accepted quantity and the actual accepted quantity as the acceptance difference value. Then, the type representing the acceptance difference can be determined as the difference type. Next, the acceptance difference value, difference type, the aforementioned shelving task identifier, and the aforementioned target item's item identifier can be combined to form acceptance difference information.

[0086] The second step is to send the aforementioned acceptance discrepancy information to the discrepancy processing terminal. This allows the acceptance discrepancy information to be synchronized with the discrepancy processing user.

[0087] The third step involves generating listing difference information in response to the determination that the actual number of items to be listed meets the listing difference conditions. In practice, the executing entity can determine the difference between the number of items to be listed and the actual number listed as the listing difference value. Then, the type representing the listing difference can be determined as the difference type. Next, the listing difference value, the difference type, the listing task identifier, and the item identifier of the target item can be combined to form the listing difference information.

[0088] The fourth step is to send the aforementioned listing difference information to the difference processing terminal. This allows the listing difference information to be synchronized with the difference processing user.

[0089] The above-described embodiments of this disclosure have the following beneficial effects: The item discrepancy handling method of some embodiments of this disclosure reduces the accumulation of items to be shelved and enhances the timeliness of handling shortages. Specifically, the reason for the large accumulation of items to be shelved and the delay in handling shortages is that the shelving staff's recording of shelving discrepancies leads to low shelving efficiency, resulting in a large accumulation of items to be shelved. The process of investigating the specific reasons for shortages is lengthy, leading to a delay in handling shortages. Based on this, the item discrepancy handling method of some embodiments of this disclosure first generates shelving task information based on the acceptance information of the corresponding target item. The acceptance information includes the entered acceptance quantity. The shelving task information includes the quantity of items to be shelved. Therefore, a shelving task can be automatically generated based on the acceptance record after the items are accepted. Then, the actual acceptance quantity of the corresponding target item is identified based on the acceptance video of the target item. Therefore, the actual quantity of items accepted can be identified. Subsequently, in response to determining that the actual number of accepted items meets the acceptance difference condition corresponding to the recorded acceptance quantity, the quantity of items to be listed in the listing task information is deducted to update the listing task information. Therefore, when there is a difference between the actual number of accepted items and the recorded quantity, the quantity of items to be listed in the listing task is automatically deducted, allowing the cause of the difference to be directly located at the acceptance stage without needing to investigate further stages. Secondly, based on the listing video of the target item, the actual number of items listed is identified. This allows the actual number of items listed to be identified. Finally, in response to determining that the actual number of listed items meets the listing difference condition, an abnormal listing record is generated for the corresponding listing task information. The listing difference condition corresponds to the quantity of items to be listed included in the listing task information. Therefore, when there is a difference between the actual number of listed items and the quantity of items to be listed, an abnormal listing record is automatically generated, allowing the cause of the difference to be directly located at the listing stage without needing to investigate further stages. Because the quantity discrepancies of items during the acceptance and shelving processes are automatically determined through comparison, manual registration by shelving staff is unnecessary. Staff only need to perform the shelving operations without needing to monitor quantity differences, thus improving shelving efficiency and reducing the backlog of items awaiting shelving. Furthermore, the system automatically pinpoints the stage at which discrepancies arise based on comparisons during acceptance and shelving, simplifying the process of investigating shortages and improving the timeliness of handling shortages. Therefore, it reduces the backlog of items awaiting shelving and enhances the efficiency of handling shortages.

[0090] Further reference Figure 4 This illustrates a flow 400 of another embodiment of the article discrepancy handling method. Flow 400 of the article discrepancy handling method includes the following steps:

[0091] Step 401: Generate listing task information based on the acceptance information of the corresponding target item.

[0092] Step 402: Identify the actual quantity of the corresponding target item that was inspected based on the inspection video of the target item.

[0093] Step 403: In response to determining that the actual acceptance quantity meets the acceptance difference condition of the corresponding entered acceptance quantity, the quantity of items to be put on the shelves included in the shelf task information is deducted to update the shelf task information.

[0094] Step 404: Identify the actual number of items listed based on the listing video of the corresponding target item.

[0095] Step 405: In response to determining that the actual number of items listed meets the listing discrepancy condition, an abnormal listing record with corresponding listing task information is generated.

[0096] In some embodiments, the specific implementation of steps 401-405 and the resulting technical effects can be found in [reference needed]. Figure 3 Steps 301-305 in the corresponding embodiments will not be repeated here.

[0097] Step 406, in response to confirming that the target item has been accepted and shelved, perform the following steps:

[0098] Step 4061: Perform a complete order verification process on the receiving slip for the target items.

[0099] In some embodiments, the entity executing the item difference processing method (e.g.) Figure 1 The server shown can, in response to determining that the aforementioned target items have been inspected and shelved, perform a complete order inspection process on the inbound order for the aforementioned target items. Complete inspection and shelving of target items indicates that all of the aforementioned target items in the warehouse have been inspected and shelved. The executing entity can, in response to determining that any abnormal shelving records have been cleared and that the quantity of target items to be inspected is a preset value, determine that the inspection and shelving of the aforementioned target items is complete. The preset value can be 0. In practice, the executing entity can set the order status of the aforementioned inbound order to "inspection and shelving complete" to perform a complete order inspection process on the inbound order for the aforementioned target items.

[0100] Step 4062: In response to determining that the quantity of the target items put on the shelves is less than the shipment quantity included in the inbound order, generate out-of-stock information for non-in-stock items.

[0101] In some embodiments, the executing entity may generate non-in-stock shortage information in response to determining that the quantity of the target item put on the shelves is less than the shipment quantity included in the receiving order. In practice, the executing entity may determine the type representing non-in-stock shortage as a difference type. Then, the difference between the shipment quantity and the quantity of the target item put on the shelves may be determined as the non-in-stock shortage quantity. Finally, non-in-stock shortage information may be generated based on the difference type, the non-in-stock shortage quantity, and the item identifier of the target item. Specifically, the executing entity may combine the difference type, the non-in-stock shortage quantity, and the item identifier of the target item into non-in-stock shortage information. The executing entity may also input the difference type, the non-in-stock shortage quantity, the item identifier of the target item, and the order number of the receiving order into a preset non-in-stock shortage document template to obtain a non-in-stock shortage document as non-in-stock shortage information. The specific settings of the preset non-in-stock shortage document template are not limited.

[0102] from Figure 4 It can be seen from this that, with Figure 3 Compared to the description of some corresponding embodiments, Figure 4 The flow 400 of the item discrepancy handling method in some corresponding embodiments embodies the step of expanding the out-of-stock information beyond the warehouse. Thus, the schemes described in these embodiments can automatically determine whether an out-of-stock situation is due to a non-warehouse cause from an external perspective.

[0103] Further reference Figure 5 As an implementation of the methods shown in the above figures, this disclosure provides some embodiments of an article difference processing device, which are similar to... Figure 3 Corresponding to the method embodiments shown, the device can be specifically applied to various electronic devices.

[0104] like Figure 5As shown, the article difference processing device 500 in some embodiments includes: a first generation unit 501, a first identification unit 502, a deduction unit 503, a second identification unit 504, and a second generation unit 505. The first generation unit 501 is configured to generate shelf-listing task information based on the acceptance information of the corresponding target item, wherein the acceptance information includes the entered acceptance quantity and the shelf-listing task information includes the quantity of items to be shelf-listed; the first identification unit 502 is configured to identify the actual acceptance quantity of the corresponding target item based on the acceptance video of the corresponding target item; the deduction unit 503 is configured to deduct the quantity of items to be shelf-listed included in the shelf-listing task information in response to determining that the actual acceptance quantity meets the acceptance difference condition corresponding to the entered acceptance quantity, so as to update the shelf-listing task information; the second identification unit 504 is configured to identify the actual shelf-listing quantity of the corresponding target item based on the shelf-listing video of the corresponding target item; and the second generation unit 505 is configured to generate an abnormal shelf-listing record corresponding to the shelf-listing task information in response to determining that the actual shelf-listing quantity meets the shelf-listing difference condition, wherein the shelf-listing difference condition corresponds to the quantity of items to be shelf-listed included in the shelf-listing task information.

[0105] Optionally, the acceptance information may also include the acceptance user identifier.

[0106] Optionally, the first identification unit 502 may be further configured to: acquire the acceptance video of the acceptance user corresponding to the above-mentioned acceptance user identifier when accepting the above-mentioned target items; and identify the actual number of the above-mentioned target items accepted by the above-mentioned acceptance user based on the above-mentioned acceptance video.

[0107] Optionally, the item discrepancy processing device 500 may further include: an expansion unit (not shown in the figure), configured to expand the quantity to be inspected corresponding to the entry-inspection quantity of the target item in response to determining that the actual inspection quantity meets the inspection discrepancy condition corresponding to the entry-inspection quantity, and that the actual inspection quantity is less than the entry-inspection quantity, based on the actual inspection quantity and the entry-inspection quantity.

[0108] Optionally, the above-mentioned task listing information may also include a task listing identifier.

[0109] Optionally, the second identification unit 504 may be further configured to: obtain a listing message corresponding to the listing task identifier, wherein the listing message includes the listing task identifier, the listing user identifier, the listing storage location information, and the number of listing items; obtain a listing video of the listing user corresponding to the listing user identifier listing the target items at the listing storage location corresponding to the listing storage location information; and identify the actual number of the target items listed by the listing user based on the listing video.

[0110] Optionally, before the second identification unit 504, the item difference processing device 500 may further include: a determining unit, an acquiring unit, an item identification unit, a quantity identification unit, and a deduction unit (not shown in the figure). The determining unit is configured to determine each aisle identifier corresponding to the aforementioned shelf-listing task identifier. The acquiring unit is configured to acquire each aisle video corresponding to the aforementioned aisle identifier. The item identification unit is configured to identify whether the target item exists in each aisle video. The quantity identification unit is configured to, in response to determining that the target item exists in the aisle videos, identify the quantity of the target item in the aisle videos as the quantity of lost items. The deduction unit is configured to deduct the quantity of items to be shelf-listed included in the shelf-listing task information based on the quantity of lost items, thereby updating the shelf-listing task information.

[0111] Optionally, the item discrepancy processing device 500 may further include: a retrieval task information generation unit and a first sending unit (not shown in the figure). The retrieval task information generation unit is configured to generate retrieval task information based on the item information of the target item, the aisle marker corresponding to the aisle video, and the quantity of the lost item. The first sending unit is configured to send the retrieval task information to the discrepancy processing terminal.

[0112] Optionally, the item discrepancy processing device 500 may further include: an acceptance discrepancy information generating unit, a second sending unit, a shelving discrepancy information generating unit, and a third sending unit (not shown in the figure). The acceptance discrepancy information generating unit is configured to generate acceptance discrepancy information in response to determining that the actual accepted quantity meets the acceptance discrepancy conditions. The second sending unit is configured to send the acceptance discrepancy information to the discrepancy processing terminal. The shelving discrepancy information generating unit is configured to generate shelving discrepancy information in response to determining that the actual shelving quantity meets the shelving discrepancy conditions. The third sending unit is configured to send the shelving discrepancy information to the discrepancy processing terminal.

[0113] Optionally, the item discrepancy processing device 500 may further include: an execution unit (not shown in the figure), configured to perform the following steps in response to determining that the acceptance and shelving of the target item has been completed: performing full order acceptance processing on the warehouse receipt of the target item; and generating non-in-warehouse out-of-stock information in response to determining that the quantity of the target item shelved is less than the shipment quantity included in the warehouse receipt.

[0114] It is understandable that the units described in the device 500 are related to the reference. Figure 3 The steps in the described method correspond accordingly. Therefore, the operations, features, and beneficial effects described above for the method also apply to the device 500 and the units contained therein, and will not be repeated here.

[0115] The following is for reference. Figure 6 It illustrates an electronic device 600 suitable for implementing some embodiments of the present disclosure (e.g., Figure 1 A schematic diagram of the structure of the server in the diagram. Figure 6 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments of this disclosure.

[0116] like Figure 6 As shown, electronic device 600 may include processing unit 601 (e.g., central processing unit, graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 602 or a program loaded from storage device 608 into random access memory (RAM) 603. RAM 603 also stores various programs and data required for the operation of electronic device 600. Processing unit 601, ROM 602, and RAM 603 are interconnected via bus 604. Input / output (I / O) interface 605 is also connected to bus 604.

[0117] Typically, the following devices can be connected to I / O interface 605: input devices 606 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 607 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 608 including, for example, magnetic tapes, hard disks, etc.; and communication devices 609. Communication device 609 allows electronic device 600 to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 6 An electronic device 600 with various devices is shown; however, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively. Figure 6 Each box shown can represent a device or multiple devices as needed.

[0118] In particular, according to some embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, some embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-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 via a communication device 609, or installed from a storage device 608, or installed from a ROM 602. When the computer program is executed by the processing device 601, it performs the functions defined above in the methods of some embodiments of this disclosure.

[0119] It should be noted that, in some embodiments of this disclosure, the computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium may be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In some embodiments of this disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In some embodiments of this disclosure, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0120] In some implementations, clients and servers can communicate using any currently known or future-developed network protocol such as HTTP (Hypertext Transfer Protocol) and can interconnect with digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include local area networks (“LANs”), wide area networks (“WANs”), the Internet (e.g., the Internet of Things), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future-developed networks.

[0121] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device. The aforementioned computer-readable medium carries one or more programs that, when executed by the electronic device, cause the electronic device to: generate shelf-listing task information based on the acceptance information of the corresponding target item, wherein the acceptance information includes the entered acceptance quantity and the shelf-listing task information includes the quantity of items to be shelf-listed; identify the actual acceptance quantity of the corresponding target item based on the acceptance video of the corresponding target item; in response to determining that the actual acceptance quantity meets the acceptance difference condition corresponding to the entered acceptance quantity, deduct the quantity of items to be shelf-listed included in the shelf-listing task information to update the shelf-listing task information; identify the actual shelf-listed quantity of the corresponding target item based on the shelf-listing video of the corresponding target item; and in response to determining that the actual shelf-listed quantity meets the shelf-discrepancy condition, generate an abnormal shelf-listing record corresponding to the shelf-listing task information, wherein the shelf-discrepancy condition corresponds to the quantity of items to be shelf-listed included in the shelf-listing task information.

[0122] Computer program code for performing operations of some embodiments of this disclosure can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0123] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0124] The units described in some embodiments of this disclosure can be implemented in software or hardware. The described units can also be housed in a processor; for example, a processor may be described as including a first generation unit, a first identification unit, a deduction unit, a second identification unit, and a second generation unit. The names of these units do not necessarily limit the specific unit; for example, the first generation unit may also be described as "a unit that generates shelf-ready task information based on the acceptance information of the corresponding target item."

[0125] The functions described above in this document can be performed, at least in part, by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: Field Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), Application Standard Products (ASSPs), System-on-Chip (SoCs), Complex Programmable Logic Devices (CPLDs), and so on.

[0126] Some embodiments of this disclosure also provide a computer program product, including a computer program that, when executed by a processor, implements any of the article difference processing methods described above.

[0127] The above description is merely a selection of preferred embodiments of this disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in the embodiments of this disclosure is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions disclosed in the embodiments of this disclosure.

Claims

1. A method for handling discrepancies in articles, comprising: Based on the acceptance information of the corresponding target items, put-away task information is generated, wherein the acceptance information includes the number of items accepted and the put-away task information includes the number of items to be put away. Based on the acceptance video of the target item, identify the actual quantity of the target item that was accepted. In response to determining that the actual acceptance quantity meets the acceptance difference condition corresponding to the entered acceptance quantity, the quantity of items to be put on the shelves included in the shelf task information is deducted to update the shelf task information; Based on the listing video of the target item, identify the actual number of the target item listed; In response to determining that the actual number of items listed meets the listing discrepancy condition, an abnormal listing record is generated corresponding to the listing task information, wherein the listing discrepancy condition corresponds to the number of items to be listed in the listing task information.

2. The method according to claim 1, wherein, The acceptance information also includes the acceptance user's identifier; as well as The step of identifying the actual quantity of the target item that has been inspected based on the inspection video of the target item includes: Obtain the inspection video of the target item by the inspection user corresponding to the inspection user identifier; Based on the acceptance video, identify the actual quantity of the target items accepted by the acceptance user.

3. The method according to claim 1, wherein, The method further includes: In response to determining that the actual acceptance quantity meets the acceptance difference condition corresponding to the entered acceptance quantity, and that the actual acceptance quantity is less than the entered acceptance quantity, the pending acceptance quantity corresponding to the warehousing order of the target item is expanded based on the actual acceptance quantity and the entered acceptance quantity.

4. The method according to claim 1, wherein, The listing task information also includes a listing task identifier; and The step of identifying the actual number of items listed based on the listing video of the target item includes: Obtain the listing message corresponding to the listing task identifier, wherein the listing message includes the listing task identifier, the listing user identifier, the listing storage location information, and the number of listing items; Obtain the listing video of the user corresponding to the listing user identifier listing the target item at the listing storage location corresponding to the listing storage location information; Based on the uploaded video, identify the actual number of the target items uploaded by the user.

5. The method according to claim 1, wherein, Before identifying the actual number of items listed based on the listing video of the target item, the method further includes: Determine the channel identifiers for each path corresponding to the task being listed; Obtain video of each passageway corresponding to the passageway markers of each of the aforementioned pathways; Identify whether the target item exists in the video of each passageway; In response to determining that the target item exists in the aisle video of each aisle video, the number of the target items in the aisle video is identified as the number of lost items; Based on the number of lost items, the number of items to be listed included in the listing task information is reduced to update the listing task information.

6. The method according to claim 5, wherein, The method further includes: Based on the item information of the target item, the passageway markers corresponding to the passageway video, and the quantity of the lost item, a retrieval task information is generated; The search task information is sent to the difference processing terminal.

7. The method according to claim 1, wherein, The method further includes: In response to determining that the actual accepted quantity meets the acceptance difference condition, acceptance difference information is generated; Send the acceptance discrepancy information to the discrepancy processing terminal; In response to determining that the actual number of items put on the shelves meets the put-on discrepancy condition, put-on discrepancy information is generated; The information regarding the differences in the product listing is sent to the difference processing terminal.

8. The method according to any one of claims 1-7, wherein, The method further includes: In response to the confirmation that the target item has been accepted and shelved, the following steps are performed: Perform a complete order verification process on the receiving slip for the target items; In response to determining that the quantity of the target item on the shelf is less than the shipment quantity included in the inbound order, a non-out-of-stock information is generated.

9. An article discrepancy processing device, comprising: The first generation unit is configured to generate listing task information based on the acceptance information of the corresponding target item, wherein the acceptance information includes the number of items accepted and the listing task information includes the number of items to be listed. The first identification unit is configured to identify the actual quantity of the target item that has been inspected based on the inspection video of the target item. The deduction unit is configured to deduct the quantity of items to be put on the shelves included in the shelf task information in response to determining that the actual acceptance quantity meets the acceptance difference condition corresponding to the entered acceptance quantity, so as to update the shelf task information. The second identification unit is configured to identify the actual number of items listed for the target item based on the listing video of the target item. The second generation unit is configured to generate an abnormal listing record corresponding to the listing task information in response to determining that the actual listing quantity meets the listing difference condition, wherein the listing difference condition corresponds to the number of items to be listed included in the listing task information.

10. An electronic device, comprising: One or more processors; Storage device, on which one or more programs are stored, When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in any one of claims 1-8.

11. A computer-readable medium having a computer program stored thereon, wherein, When the computer program is executed by a processor, it implements the method as described in any one of claims 1-8.

12. A computer program product comprising a computer program that, when executed by a processor, implements the method according to any one of claims 1-8.

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