Method for directly transferring commodities to processing and racking, storage medium and electronic equipment

Abstract

The invention discloses a method for directly transferring commodities to be processed and shelved, a storage medium and electronic equipment. The method comprises the following steps: acquiring commercial situation data of to-be-shelved commodities; according to the business situation data, obtaining processing requirements of the to-be-put-on-shelf commodities; marking the to-be-shelved commodities with processing labels according to the processing requirements of the to-be-shelved commodities; and processing the to-be-shelved commodity according to the processing label to obtain a processed commodity, and then shelving the processed commodity. According to the method, the commodity processing demand is actively predicted in the shelving link, the traditional separated'shelving-unloading-processing-secondary shelving 'process is combined into a single composite operation, the commodity carrying frequency and the invalid commodity carrying distance are reduced, the task switching waiting time is compressed, and the storage efficiency is remarkably improved; and meanwhile, the repeated work amount is reduced, the requirement for storage manpower is lowered, and therefore the operation cost is effectively reduced.

Description

Technical Field

[0001] The present application relates to the technical field of warehouse management, and in particular to a method, storage medium and electronic device for directly converting and processing commodities for shelf placement. Background Art

[0002] In the existing warehouse management, the shelving operation and processing operation are usually carried out as two independent links. After the goods arrive at the warehouse, the operator moves the whole box / pallet of goods to the designated storage location according to the system instructions to complete the warehouse registration. The operation goal focuses on optimizing space utilization and synchronizing inventory data. Subsequently, according to the sales order requirements (such as splitting, labeling, and repackaging), the shelved goods are moved from the storage location to the processing area for processing. After completion, the goods are shelved again or directly enter the sorting stage.

[0003] The traditional separate "shelfing-de-shelfing-processing-second-shelfing" process causes physical separation and information breakpoints between the two operations, resulting in physical losses from repeated handling. For example, after boxed beverages are put on the shelves, they need to be split into single cans for retail sales due to promotions the next day. They need to go through the following process: whole box storage → storage on the shelves (such as shelf No. 1 in area A1) → whole box off the shelves → disassembly and processing → single products back on the shelves (shelf No. 2 in area B2). The same product needs to be handled by three groups of people, and the comprehensive labor cost increases by 40%-60%, resulting in an exponential increase in labor costs. At the same time, process delays cause response lags. Summary of the invention

[0004] In view of the above problems, the present application provides a method for directly converting and processing goods for shelving, which solves the problem of physical separation and information breakpoints between shelving operations and processing operations in existing warehouse management, resulting in physical losses due to repeated handling, high labor costs, and delayed responses due to process delays.

[0005] To achieve the above purpose, the inventor provides a method for directly converting and putting goods on shelves, which comprises the following steps: Obtain commercial situation data of products to be put on the shelves; Obtain processing requirements for products to be put on the shelves based on business situation data; Mark the products to be put on the shelves with processing labels according to their processing requirements; The goods to be put on the shelves are processed according to the processing labels to obtain the processed goods and then put on the shelves.

[0006] Furthermore, the business situation data includes historical sales data and market dynamic demand data.

[0007] Furthermore, the historical sales data includes commodities and historical sales of processed commodities obtained through different processing methods.

[0008] Furthermore, the market dynamic demand data includes sales fluctuations of the commodities of the day and the commodities processed by various processing methods, promotional activity factors, and holiday activity factors.

[0009] Furthermore, the processing label includes a processing method and a processing quantity.

[0010] Furthermore, the step of obtaining the processing requirements of the commodities to be put on the shelves according to the historical sales data and the market dynamic demand data includes performing weighted linear calculation through the corresponding historical sales data and the market dynamic data to obtain the processing requirements of the commodities to be put on the shelves.

[0011] Furthermore, there is a step of obtaining the processing requirements of the goods to be put on the shelves based on the historical sales data and the market dynamic demand data; it also includes real-time monitoring of the deviation between the actual sales data and the processing requirements of the goods to be put on the shelves, and judging whether the deviation exceeds the set threshold, and if so, giving a reminder.

[0012] Furthermore, the step of processing the goods to be put on the shelves according to the processing labels to obtain the processed goods and then putting them on the shelves includes displaying the processing labels of the goods to be put on the shelves in the warehousing area and the processing area, and processing them according to the processing labels to obtain the processed goods.

[0013] A storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the above-mentioned method for directly converting and putting goods on the shelves.

[0014] An electronic device includes a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, the steps of the method for directly converting and putting goods on the shelves are implemented.

[0015] Different from the existing technology, the above technical solution actively predicts the processing needs of goods in the shelving link, and merges the traditional separate "shelfing-de-shelfing-processing-second shelving" processes into a single compound operation, thereby reducing the number of times goods are moved, the ineffective transportation distance of goods, and compressing the waiting time for task switching, thereby significantly improving warehousing efficiency; at the same time, it reduces the amount of repetitive work and reduces the demand for warehousing manpower, thereby effectively reducing operating costs; at the same time, based on the commercial situation data of the goods to be put on the shelves, it can accurately identify the market demand trends of different processing methods, flexibly allocate resources, and avoid overproduction leading to inventory backlogs.

[0016] The above-mentioned records related to the invention content are only an overview of the technical solution of the present application. In order to enable ordinary technicians in the field to more clearly understand the technical solution of the present application, and then implement it according to the text of the specification and the contents recorded in the drawings, and to make the above-mentioned purpose and other purposes, features and advantages of the present application easier to understand, the following is an explanation in combination with the specific implementation mode and drawings of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings are only used to illustrate the principles, implementation methods, applications, characteristics and effects of the specific embodiments of the present invention and other related contents, and shall not be considered as limiting the present application.

[0018] In the drawings of the specification: Figure 1 It is a flowchart of the method for directly converting and putting goods on the shelves as described in a specific implementation method. DETAILED DESCRIPTION

[0019] In order to explain in detail the possible application scenarios, technical principles, specific schemes that can be implemented, and the purposes and effects that can be achieved, the following is a detailed description of the specific embodiments listed in conjunction with the accompanying drawings. The embodiments described herein are only used to more clearly illustrate the technical solutions of the present application, and are therefore only used as examples, and cannot be used to limit the scope of protection of the present application.

[0020] Reference to "embodiment" herein means that the specific features, structures or characteristics described in conjunction with the embodiment may be included in at least one embodiment of the present application. The term "embodiment" appearing in various places in the specification does not necessarily refer to the same embodiment, nor does it particularly limit its independence or association with other embodiments. In principle, in the present application, as long as there is no technical contradiction or conflict, the various technical features mentioned in the embodiments can be combined in any way to form a corresponding implementable technical solution.

[0021] Unless otherwise defined, the technical terms used in this document have the same meanings as those generally understood by those skilled in the art to which this application belongs; the use of relevant terms in this document is only for describing specific embodiments and is not intended to limit this application.

[0022] In the description of this application, the term "and / or" is an expression used to describe the logical relationship between objects, indicating that three relationships may exist, for example, A and / or B, which means: A exists, B exists, and A and B exist at the same time. In addition, the character " / " in this article generally indicates that the objects before and after are in an "or" logical relationship.

[0023] In the present application, terms such as “first” and “second” are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship of quantity, priority or sequence between these entities or operations.

[0024] Without further limitations, in this application, the words "include", "comprises", "has" or other similar open-ended expressions used in sentences are intended to cover non-exclusive inclusion. These expressions do not exclude the presence of additional elements in the process, method or product including the elements, so that the process, method or product including a series of elements may include not only those limited elements, but also other elements not explicitly listed, or also include elements inherent to such process, method or product.

[0025] Similar to the understanding in the Examination Guidelines, in this application, expressions such as "greater than", "less than", "exceed" and the like are understood to exclude the number itself; expressions such as "above", "below", "within" and the like are understood to include the number itself. In addition, in the description of the embodiments of this application, "multiple" means more than two (including two), and similar expressions related to "multiple" are also understood in this way, such as "multiple groups", "multiple times", etc., unless otherwise clearly and specifically limited.

[0026] In the description of the embodiments of the present application, space-related expressions used, such as "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "vertical", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., indicate the orientation or position relationship based on the orientation or position relationship shown in the specific embodiments or drawings, and are only for the convenience of describing the specific embodiments of the present application or facilitating the reader's understanding, and do not indicate or imply that the referred device or component must have a specific position, a specific orientation, or be constructed or operated in a specific orientation, and therefore cannot be understood as a limitation on the embodiments of the present application.

[0027] See also Figure 1 As shown in the figure, a method for directly converting goods to be processed and put on the shelves actively predicts the processing needs of goods in the shelving link, and merges the traditional separate "put on the shelves-take off the shelves-processing-secondary shelving" process into a single composite operation, which reduces the number of times goods are moved, the invalid transportation distance of goods, and the waiting time for task switching, which significantly improves the warehouse efficiency; at the same time, it reduces the amount of repeated work and reduces the demand for warehouse manpower, thereby effectively reducing operating costs; at the same time, based on the business situation data of the goods to be put on the shelves, it can accurately identify the market demand trends of different processing methods, flexibly allocate resources, and avoid overproduction leading to inventory backlogs. The above solution can be applied in scenarios such as e-commerce warehouse centers, manufacturing enterprise VMI warehouses, and fresh cold chain logistics centers.

[0028] Combination Figure 1 The following is an implementation of a method for directly converting and processing commodities to shelves of the present invention, which specifically includes the following steps: S1. Obtaining the commercial situation data of the products to be put on the shelves; S2. Obtain processing requirements for products to be put on the shelves based on business situation data; S3. Mark the products to be put on the shelves with processing labels according to the processing requirements of the products to be put on the shelves; S4. Process the goods to be put on the shelves according to the processing labels to obtain the processed goods and then put them on the shelves.

[0029] The above-mentioned business situation data can be historical sales data. By analyzing the historical sales data, we can understand the sales rules and trends of processed goods, obtain the processing requirements of goods to be put on the shelves, match the processing of goods with market demand, reasonably control the inventory quantity of processed goods, and reduce inventory risks. The above-mentioned business situation data can also be market dynamic demand data. Market dynamic demand data can reflect consumers' latest preferences and demand trends in real time, such as seasonal changes, emergencies, policy adjustments, etc., which cause demand fluctuations; with the help of market dynamic demand data, the processing requirements of goods to be processed can be adjusted in time, the inventory quantity of processed goods can be reasonably controlled, and inventory risks can be reduced. The above-mentioned business situation data can also include historical sales data and market dynamic demand data. Combining the data of the two can accurately identify the processing demand trend of goods to be put on the shelves, flexibly allocate resources, and avoid overproduction leading to inventory backlogs.

[0030] The above historical sales data refers to the historical sales data of the goods to be put on the shelves in a certain period of time, which can be any or all of the historical sales data of the previous month, the previous quarter, the previous year, the corresponding day of the previous year, etc. The source of historical sales data can come from any or all channels such as e-commerce platforms, physical stores, live streaming, etc. The above historical sales data includes the historical sales of goods (unprocessed) and processed goods obtained through different processing methods; if the goods are snakehead fish, the historical sales data of snakehead fish includes the historical sales of snakehead fish (unprocessed), the historical sales of scaled snakehead fish, the historical sales of scaled and eviscerated snakehead fish, and the historical sales of scaled, eviscerated and cut snakehead fish, etc. By analyzing the historical sales of goods and processed goods, the market demand trends of different processing methods can be accurately identified to avoid overproduction leading to inventory backlogs. Of course, the above historical sales data can also include the turnover rate of commodities (unprocessed) and processed commodities obtained through different processing methods (sales volume in a certain period of time / average inventory volume in the period of time), so as to ensure that commodities with high turnover rates can have higher processing efficiency (by giving priority to processing, arranging more processing personnel for processing, etc.). The above market dynamic demand data includes but is not limited to sales fluctuations (peak sales volume and trough sales volume) of commodities and processed commodities of the day and various processing methods, promotional activity factors, holiday activity factors, etc. Taking the holiday activity factor as an example, on Valentine's Day, the commodity is chocolate, and the processed commodity can be chocolate packaged in a heart-shaped gift box, heart-shaped gift box packaging + customized greeting card chocolate, etc., and the sales demand of processed commodities will increase. Through market dynamic demand data, it is possible to timely follow market dynamics, track real-time demand, flexibly allocate resources, accurately match demand, and reduce resource waste.

[0031] In the above step of obtaining the processing requirements of the products to be put on the shelves according to the business situation data, the processing requirements of the products to be put on the shelves can be obtained by setting weighted coefficients for weighted linear calculation. Specifically, taking historical sales data and market dynamic demand data as an example, The daily processing volume of a certain commodity in a certain processing method is: ; The processing volume of a certain product with a certain processing method on the promotion day is: ; The processing volume of a certain commodity in a certain processing method during holidays is: ; in, is the promotion factor, , is the fixed weighting coefficient of the historical sales volume of the processed goods, is the fixed weighted coefficient of the sales volume fluctuation of the processed goods on that day, , , , These are fixed value parameters.

[0032] Of course, in order to prevent abnormal sales growth during special periods, it is also possible to monitor the deviation between actual sales data and the processing demand of the goods to be put on the shelves in real time ((actual processed goods sales - predicted processed goods processing volume) / actual processed goods sales), and determine whether the deviation exceeds the set threshold (such as 10%, 15%, etc.). If so, a prompt is given to adjust the above weights through prompts. For example, if the predicted processing volume of processed goods is 1,000 pieces and the actual sales volume of processed goods is 1,200 pieces, the weight can be adjusted upward as a whole.

[0033] In some embodiments, the processing demand of the goods to be put on the shelves can also be obtained by inputting historical sales data and market dynamic data into the processing demand forecasting model. The above-mentioned processing demand forecasting model constructs a time series feature model (such as an LSTM-XGBoost hybrid model), inputs the historical sales data of the goods to be put on the shelves and the market dynamic demand data into the hybrid forecasting model training and optimization; and sets an incremental learning mechanism to automatically update the model parameters at a set time (such as every 24 hours); of course, a dynamic feedback calibration mechanism can also be set to monitor the deviation between the actual sales data and the processing demand of the goods to be put on the shelves in real time. When the deviation is greater than the set threshold range, the model retraining is triggered.

[0034] The processing labels in the above-mentioned step of marking the processing labels on the goods to be put on the shelves according to the processing requirements of the goods to be put on the shelves may include the processing method and processing quantity. For example, the seafood is packaged at 2kg / bag, and the vacuum packaging and cold storage shelves are completed simultaneously, with a quantity of 2,000 bags. The processing method is marked in the processing label so that the processing personnel can operate according to accurate instructions, reduce production errors and rework caused by poor communication, and improve production efficiency; the processing quantity in the processing label allows the processing personnel to accurately determine the processing quantity of the goods, and reasonably allocate manpower, equipment and other resources based on the processing quantity to avoid overcapacity or insufficient production capacity and ensure that orders are completed on time.

[0035] The above-mentioned processing of the goods to be put on the shelves according to the processing labels to obtain the processed goods and then putting them on the shelves refers to the direct completion of the corresponding processing operations during the shelving process according to the processing labels. Specifically, the processing labels of the goods to be put on the shelves can be displayed in the warehousing area and the processing area, and the processing tasks can be assigned to the corresponding processing personnel or production teams before putting them on the shelves. The processed goods can be obtained according to the processing methods and processing quantities on the processing labels, and then the prepared processed goods can be transported to the designated shelf location for shelving. Of course, simple processing is also included, and the processing can be completed simultaneously when putting them on the shelves. For example, for goods that need to be unpacked for single retail, employees can complete the unpacking operation simultaneously when putting them on the shelves.

[0036] The present invention also provides a storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned method for directly converting and putting goods on the shelves are implemented.

[0037] The present invention also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and when the computer program is executed by the processor, the steps of the method for directly converting and putting goods on the shelves are implemented.

[0038] The computer program involved in the embodiment can be stored in a computer device readable storage medium, which includes but is not limited to a disk, a tape, a magnetic card, a floppy disk, a flash memory, an optical disk, an optical card, a read-only memory (ROM), a random access memory (RAM), an erasable programmable ROM (EPROM) and an electrically erasable programmable ROM (EEPROM), etc., and also includes other biological, physical or chemical structures that can achieve the same or equivalent functions as the storage media listed above, such as DNA, RNA, protein and other units with information storage capabilities. In a specific embodiment, the storage medium involved can be one of the above-mentioned media types, or a combination of the above-mentioned media types. In different embodiments, the computer program involved in the embodiment can be stored in a single medium in a centralized manner, or it can be stored in multiple media in a distributed manner. The memory containing the computer device readable storage medium can be a non-volatile memory or a random access memory. These computer device readable storage media can be built into the device, or they can be connected to the device involved in the embodiment as an external device or a part of an external device. In some embodiments, a memory with a computer device readable storage medium is deployed locally; in other embodiments, a solution of deploying the memory away from the processor may also be adopted, such as a network attached memory accessed via an RF circuit or an external port and a communication network, wherein the communication network may be the Internet, one or more intranets, a local area network (LAN), a wide area network (WLAN), a storage area network (SAN), etc., or a suitable combination thereof, as long as the computer device can access the memory. In addition, the computer program involved in the embodiment may be stored in plaintext / ciphertext form, or may be designed as training data, which may be integrated and reorganized through model training and implicitly stored in the parameter state of a deep neural network or other machine learning model.

[0039] The processor described in the embodiments of the present application can be implemented by hardware, firmware, software or a combination thereof, and can use a circuit, a single or multiple application-specific integrated circuits (Application Specific Integrated Circuit, ASIC), a digital signal processor (Digital Signal Processor, DSP), a digital signal processing device (Digital Signal Processing Device, DSPD), a programmable logic device (Programmable Logic Device, PLD), a field programmable gate array (Field Programmable Gate Array, FPGA), a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, at least one of a microprocessor, and also includes other physical, biological or chemical structures that can achieve similar or equivalent functions to the processors listed above, such as biological neurons, quantum computing units, DNA computing units, etc., so that the processor can execute some or all of the steps in the computer program or method involved in the various embodiments of the present application, or any combination of the steps mentioned therein.

[0040] Finally, it should be noted that although the above embodiments have been described in the specification and drawings of this application, this does not limit the scope of patent protection of this application. All technical solutions generated by replacing or modifying equivalent structures or equivalent processes based on the essential concept of this application using the contents recorded in the specification and drawings of this application, as well as directly or indirectly implementing the technical solutions of the above embodiments in other related technical fields, are included in the scope of patent protection of this application.

Claims

1. A method for directly converting and processing commodities for sale on shelves, characterized in that: The following steps are involved: Obtain commercial situation data of products to be put on the shelves; Obtain processing requirements for products to be put on the shelves based on business situation data; Mark the products to be put on the shelves with processing labels according to their processing requirements; The goods to be put on the shelves are processed according to the processing labels to obtain the processed goods and then put on the shelves.

2. The method for directly converting and putting goods on shelves according to claim 1 is characterized in that: The business situation data includes historical sales data and market dynamic demand data.

3. The method for directly converting and putting goods on shelves according to claim 2 is characterized in that: The historical sales data includes commodities and historical sales of processed commodities obtained through different processing methods.

4. The method for directly converting and putting goods on shelves according to claim 2 is characterized in that: The market dynamic demand data includes sales fluctuations of the day's commodities and processed commodities with various processing methods, promotional activity factors, and holiday activity factors.

5. The method for directly converting and putting goods on shelves according to claim 1 is characterized in that: The processing label includes the processing method and the processing quantity.

6. The method for directly converting and putting goods on shelves according to claim 2, characterized in that: The step of obtaining the processing requirements of the goods to be put on the shelves according to the historical sales data and the market dynamic demand data includes performing weighted linear calculation through the corresponding historical sales data and the market dynamic data to obtain the processing requirements of the goods to be put on the shelves.

7. The method for directly converting and putting goods on shelves according to claim 2, characterized in that: The step of obtaining the processing requirements of the goods to be put on the shelves based on the historical sales data and the market dynamic demand data also includes real-time monitoring of the deviation between the actual sales data and the processing requirements of the goods to be put on the shelves, judging whether the deviation exceeds the set threshold, and if so, giving a reminder.

8. The method for directly converting and putting goods on shelves according to claim 1, characterized in that: The step of processing the goods to be put on the shelves according to the processing labels to obtain the processed goods and then putting them on the shelves includes displaying the processing labels of the goods to be put on the shelves in the storage area and the processing area, and processing them according to the processing labels to obtain the processed goods.

9. A storage medium, characterized in that The storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for directly converting and putting goods on the shelves as described in any one of claims 1 to 8 are implemented.

10. An electronic device, characterized in that It includes a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the steps of the method for directly converting and putting goods on the shelves as described in any one of claims 1 to 8 are implemented.

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