WO2022062412A1 - 仓储数据处理方法、装置、介质及电子设备 - Google Patents

仓储数据处理方法、装置、介质及电子设备 Download PDF

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Publication number
WO2022062412A1
WO2022062412A1 PCT/CN2021/091640 CN2021091640W WO2022062412A1 WO 2022062412 A1 WO2022062412 A1 WO 2022062412A1 CN 2021091640 W CN2021091640 W CN 2021091640W WO 2022062412 A1 WO2022062412 A1 WO 2022062412A1
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preset object
data
preset
replenishment
server
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PCT/CN2021/091640
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English (en)
French (fr)
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解高纯
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北京沃东天骏信息技术有限公司
北京京东世纪贸易有限公司
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Priority to US18/043,058 priority Critical patent/US20240020633A1/en
Priority to JP2022569256A priority patent/JP7507884B2/ja
Priority to EP21870800.6A priority patent/EP4195124A4/en
Publication of WO2022062412A1 publication Critical patent/WO2022062412A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G06Q10/0875—Itemisation or classification of parts, supplies or services, e.g. bill of materials
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G06F16/2282—Tablespace storage structures; Management thereof

Definitions

  • the present invention relates to the technical field of warehousing data processing, in particular, to a warehousing data processing method, device, medium and electronic equipment.
  • the warehouse management system determines the replenishment timing and replenishment amount of preset objects based on manual experience. For example, when restocking preset objects in stores, manual experience can be used to predict the sales volume of preset objects, inventory data of preset objects and other parameters, and auxiliary orderers can make decisions based on manually preset parameters.
  • manual experience can be used to predict the sales volume of preset objects, inventory data of preset objects and other parameters, and auxiliary orderers can make decisions based on manually preset parameters.
  • the warehouse management system since the parameters involved in determining the replenishment timing and replenishment quantity of preset objects are relatively complex, the warehouse management system only determines the replenishment timing and replenishment quantity accuracy of preset objects based on the parameters determined by manual experience. lower and more time consuming.
  • the purpose of the embodiments of the present invention is to provide a warehouse data processing method, device, medium and electronic equipment, which can improve the replenishment timeliness of the warehouse management system at least to a certain extent, and improve the preparation for determining replenishment timing and replenishment quantity Spend.
  • a warehouse data processing method comprising: a server acquiring attribute data of a preset object from a warehouse data table; and a server determining the preset object according to the attribute data of the preset object safety inventory data of the object; the server determines the target inventory data of the preset object according to the attribute data of the preset object; the server obtains the current inventory data of the preset object from the storage data table; When the current inventory data of the object is less than or equal to the safety stock data of the preset object, the server determines the replenishment quantity of the preset object according to the target inventory data of the preset object and the current inventory data of the preset object ; The server sends the replenishment quantity of the preset object to the warehouse management system, so that the warehouse management system performs replenishment according to the replenishment quantity of the preset object.
  • the attribute data of the preset object includes any one or more of the following: the arrival time when the preset object is replenished, the replenishment cycle of the preset object, the The average daily sales data of the preset object, the stocking days of the preset object, the display quantity of the preset object on the shelf, and the inventory data of the preset object in the basket.
  • the method further includes: the server acquires the sales data of the preset object in the historical time period from the warehouse data table; the server obtains the sales data of the preset object in the historical time period according to the The sales data determines the average daily sales data of the preset object.
  • determining the safety stock data of the preset object by the server according to the attribute data of the preset object includes: The replenishment cycle of the object and the average daily sales data of the preset object determine the sales data of the preset object in the first time period, and the first time period is the arrival time when the preset object is replenished.
  • the server is based on the sales data of the preset object in the first time period, the arrival time when the preset object is replenished, the preset object
  • the average daily sales data of the preset object, the display quantity of the preset object on the shelf, and the basket inventory data of the preset object determine the safety stock data of the preset object, and the safety stock data of the preset object is all The maximum safety stock data for the preset object.
  • determining the target inventory data of the preset object by the server according to the attribute data of the preset object includes: The arrival time of the preset object, the replenishment cycle of the preset object, and the stocking days of the preset object determine the target inventory data of the preset object.
  • the method further includes: the server adjusts the replenishment quantity of the preset object according to the minimum order quantity of the preset object, and obtains the adjusted replenishment quantity of the preset object;
  • Sending the replenishment quantity of the preset object by the server to the warehouse management system includes: the server sending the adjusted replenishment quantity of the preset object to the warehouse management system.
  • the method further includes: the server determines whether the store information is in the preset list according to the store information to which the preset object belongs; if the store information is in the preset list, then The server terminates sending the replenishment quantity of the preset object to the warehouse management system.
  • a storage data processing device comprising: a first acquisition module for acquiring attribute data of a preset object; a first determination module for The attribute data determines the safety stock data of the preset object; the second determining module is used to determine the target inventory data of the preset object according to the attribute data of the preset object; the second obtaining module is used to obtain the The current inventory data of the preset object; the third determination module, when the current inventory data of the preset object is less than or equal to the safety stock data of the preset object, according to the target inventory data of the preset object and the preset object Suppose the current inventory data of the object determines the replenishment quantity of the preset object; the sending module is used to send the replenishment quantity of the preset object to the warehouse management system, so that the warehouse management system can make the preset object according to the preset object.
  • the replenishment quantity is replenished.
  • the attribute data of the preset object includes any one or more of the following: the arrival time when the preset object is replenished, the replenishment cycle of the preset object, the The average daily sales data of the preset object, the stocking days of the preset object, the display quantity of the preset object on the shelf, and the inventory data of the preset object in the basket.
  • the device further includes: a third acquisition module, configured to acquire sales data of the preset object within a historical time period; and a fourth determination module, configured to The sales data in the historical time period determines the daily average sales data of the preset object.
  • the above-mentioned first determination module includes: a sales volume data determination module, configured to restock according to the arrival time of the preset object, the replenishment cycle of the preset object, and the The average daily sales data of the preset object determines the sales volume data of the preset object in a first time period, and the first time period is the arrival time of the preset object when the preset object is replenished and the amount of the preset object.
  • the sum of replenishment periods; the safety stock data determination module is configured to determine the module according to the sales data of the preset object in the first time period, the arrival time of the preset object when replenishing, and the date of the preset object.
  • the sales level data, the display quantity of the preset object on the shelf, and the inventory data of the preset object determine the safety stock data of the preset object, and the safety stock data of the preset object is the preset object. Set the object's maximum safety stock data.
  • the above-mentioned second determining module is configured to: according to the average daily sales data of the preset object, the arrival time when the preset object is replenished, and the replenishment time of the preset object.
  • the inventory period of the preset object and the inventory days of the preset object determine the target inventory data of the preset object.
  • the device further includes: an adjustment module, configured to adjust the replenishment quantity of the preset object according to the minimum order quantity of the preset object, and obtain the adjusted quantity of the preset object. replenishment quantity; the sending module is configured to: send the adjusted replenishment quantity of the preset object to the warehouse management system.
  • the device further includes: a fifth determination module, configured to determine whether the store information is in a preset list according to the store information to which the preset object belongs; a termination module, if the store information In the preset list, the sending of the replenishment quantity of the preset object to the warehouse management system is terminated.
  • an electronic device comprising: one or more processors; a storage device for storing one or more programs, when the one or more programs are stored by the one When executed by the one or more processors, the one or more processors implement the warehouse data processing method described in the first aspect of the above embodiment.
  • a computer-readable medium on which a computer program is stored, and when the program is executed by a processor, implements the warehouse data processing method described in the first aspect of the foregoing embodiments .
  • the attribute data of the preset object is obtained, the safety stock data of the preset object is determined according to the attribute data of the preset object, and the preset object is determined according to the attribute data of the preset object
  • the target inventory data of the preset object is obtained, and then the current inventory data of the preset object is obtained.
  • the current inventory data of the preset object is less than or equal to the safety stock data of the preset object, according to the target inventory data of the preset object and the current inventory of the preset object
  • the data determines the replenishment quantity of the preset object, and sends the replenishment quantity of the preset object to the warehouse management system, so that the warehouse management system can replenish according to the replenishment quantity of the preset object.
  • Improve the replenishment timeliness of the warehouse management system and improve the readiness to determine the timing and quantity of replenishment.
  • FIG. 1 shows a schematic diagram of an exemplary system architecture of a warehouse data processing method or a warehouse data processing device to which an embodiment of the present invention can be applied;
  • FIG. 2 schematically shows a flowchart of a warehouse data processing method according to an embodiment of the present invention
  • FIG. 3 schematically shows a flowchart of a warehouse data processing method according to another embodiment of the present invention.
  • FIG. 4 schematically shows a flowchart of a warehouse data processing method according to another embodiment of the present invention.
  • FIG. 5 schematically shows a flowchart of a warehouse data processing method according to another embodiment of the present invention.
  • FIG. 6 schematically shows a schematic diagram of calculating target inventory and replenishment points according to the present invention
  • Fig. 7 schematically shows a schematic diagram of a warehouse data processing method according to the present invention.
  • FIG. 8 schematically shows a block diagram of a warehouse data processing apparatus according to an embodiment of the present invention.
  • FIG. 9 schematically shows a block diagram of a warehouse data processing apparatus according to another embodiment of the present invention.
  • FIG. 10 schematically shows a block diagram of a warehouse data processing apparatus according to another embodiment of the present invention.
  • FIG. 11 schematically shows a block diagram of a warehouse data processing apparatus according to another embodiment of the present invention.
  • FIG. 12 schematically shows a block diagram of a warehouse data processing apparatus according to another embodiment of the present invention.
  • FIG. 13 shows a schematic structural diagram of a computer system suitable for implementing the electronic device of the embodiment of the present invention.
  • Example embodiments will now be described more fully with reference to the accompanying drawings.
  • Example embodiments can be embodied in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.
  • FIG. 1 shows a schematic diagram of an exemplary system architecture of a warehouse data processing method or a warehouse data processing apparatus to which embodiments of the present invention can be applied.
  • the system architecture 100 may include one or more of terminal devices 101 , 102 , and 103 , a network 104 and a server 105 .
  • the network 104 is the medium used to provide the communication link between the end devices 101, 102, 103 and the server 105.
  • the network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
  • the numbers of terminal devices, networks and servers in FIG. 1 are merely illustrative. There can be any number of terminal devices, networks and servers according to implementation needs.
  • the server 105 may be a server cluster composed of multiple servers, or the like.
  • the user can use the terminal devices 101, 102, 103 to interact with the server 105 through the network 104 to receive or send messages and the like.
  • the terminal devices 101, 102, 103 may be various electronic devices with display screens, including but not limited to smart phones, tablet computers, portable computers, desktop computers, and the like.
  • the server 105 may be a server that provides various services.
  • the server 105 may obtain the attribute data of the preset object from the storage data table of the terminal device 103 (it may also be the terminal device 101 or 102), determine the safety stock data of the preset object according to the attribute data of the preset object, and determine the safety stock data of the preset object according to the attribute data of the preset object.
  • the attribute data of the preset object determines the target inventory data of the preset object, and then obtains the current inventory data of the preset object.
  • the warehouse data processing method provided by the embodiments of the present invention is generally executed by the server 105 , and accordingly, the warehouse data processing apparatus is generally set in the server 105 .
  • some terminals may have functions similar to the server to perform the method. Therefore, the warehouse data processing method provided by the embodiment of the present invention is not limited to be executed on the server side.
  • FIG. 2 schematically shows a flowchart of a warehouse data processing method according to an embodiment of the present invention.
  • the warehouse data processing method may include steps S210 to S260.
  • step S210 the server obtains the attribute data of the preset object from the warehouse data table.
  • step S220 the server determines the safety stock data of the preset object according to the attribute data of the preset object.
  • step S230 the server determines target inventory data of the preset object according to the attribute data of the preset object.
  • step S240 the server obtains the current inventory data of the preset object from the storage data table.
  • step S250 when the current inventory data of the preset object is less than or equal to the safety inventory data of the preset object, the server determines according to the target inventory data of the preset object and the current inventory data of the preset object The replenishment quantity of the preset object.
  • step S260 the server sends the replenishment quantity of the preset object to the warehouse management system, so that the warehouse management system performs replenishment according to the replenishment quantity of the preset object.
  • the safety stock data of the preset object can be determined according to the attribute data of the preset object
  • the target inventory data of the preset object can be determined according to the attribute data of the preset object
  • the current inventory data of the preset object can be obtained.
  • the replenishment quantity of the preset object is determined according to the target inventory data of the preset object and the current inventory data of the preset object, and the information of the preset object is sent to the warehouse management system. Replenishment quantity, so that the warehouse management system can replenish according to the replenishment quantity of the preset object.
  • the replenishment timeliness of the warehouse management system can be improved to a certain extent, as well as the determination of replenishment timing and replenishment quantity. readiness.
  • the above-mentioned preset object may be a commodity in an offline store.
  • the preset object may be a fresh commodity (eg, live fish, live shrimp, vegetables, fruit, bread).
  • the above-mentioned warehouse data table may be a data table stored in the terminal, or may be a data table stored in the above-mentioned server.
  • the attribute data of the preset object includes any one or more of the following: the arrival time when the preset object is replenished, the replenishment cycle of the preset object, the average daily sales data of the preset object, and the number of days in which the preset object is ready. ,
  • the arrival time when the preset object is replenished may refer to the time from when the orderer places the order to when the orderer receives the goods.
  • the replenishment cycle of the preset object may refer to how often the preset object is replenished.
  • the average daily sales data of the preset object may refer to the average daily sales of the preset object in the past period of time.
  • the stocking days of the preset object may refer to the length of time for the supplier to stock up.
  • the display quantity of the preset object on the shelf may refer to the quantity of the preset object displayed on the store shelf.
  • the basket inventory data of the preset object may refer to the quantity of the preset object that the user puts into the basket when purchasing the preset object but does not check out the preset object at the end.
  • the safety stock data of the preset object is determined according to the attribute data of the preset object.
  • the sales data of the preset object in the first time period is determined according to the arrival time of the preset object when the preset object is replenished, the replenishment period of the preset object, and the average daily sales data of the preset object, wherein the first time The segment is the sum of the arrival time when the preset object is replenished and the replenishment cycle of the preset object, and then according to the sales data of the preset object in the first period of time, the arrival time of the preset object when replenishing, and the forecast period.
  • the maximum safety stock data of the preset object can be calculated by the following formula:
  • Sum(FCST(1),...,FCST(VLT+NRT) is the sales data of the preset object in the first time period
  • k is the service level coefficient
  • ⁇ L is the arrival time of the preset object when replenishment
  • ⁇ D is the standard deviation of the daily average sales data of the preset object
  • ⁇ D is the daily average sales data of the preset object
  • ⁇ L is the sales volume of the preset object within the arrival time when the preset object is replenished Standard deviation
  • the display quantity is the display quantity of the preset object on the shelf
  • the left basket inventory is the left basket inventory data of the preset object.
  • the safety stock data of the preset object can be quickly prepared and calculated, and the replenishment timing of the preset object can be accurately determined according to the safety stock data of the preset object. For example, when the current inventory data of the preset object is less than or equal to the safety stock data of the preset object, it can be used as the replenishment timing of the preset object.
  • determining the target inventory data of the preset object by the server according to the attribute data of the preset object includes: the server according to the daily average sales data of the preset object, the arrival time when the preset object is replenished, and the preset object.
  • the replenishment timing when the replenishment timing is reached, that is, when the current inventory data of the preset object is less than or equal to the safety stock data of the preset object, the target inventory data of the preset object and the current inventory data of the preset object are determined according to The replenishment quantity of the preset object can be determined, and the replenishment quantity calculated in this way is more accurate.
  • FIG. 3 schematically shows a flowchart of a method for processing warehouse data according to another embodiment of the present invention.
  • the above method may further include steps S207 and S208.
  • step S207 the server obtains the sales data of the preset object in the historical time period from the above-mentioned warehouse data table.
  • step S208 the server determines the average daily sales data of the preset object according to the sales data of the preset object in the historical time period.
  • the method can determine the daily average sales data of the preset object according to the sales data of the preset object in the historical time period, so as to calculate the sales data of the preset object in the future period of time according to the daily average sales data.
  • the sales data of the preset object in the historical time period may refer to the sales volume of the preset object in the past 7 days, one month, three months and other time periods.
  • the average daily sales data of the preset object may be calculated according to the sales data of the preset object in the historical time period.
  • the historical time period is 7 days
  • the sales data for 7 days are 100, 90, 110, 80, 120, 95, and 85, respectively.
  • Fig. 4 schematically shows a flowchart of a method for processing warehouse data according to another embodiment of the present invention.
  • step S220 may specifically include steps S410 to S420 , as shown in FIG. 4 .
  • step S410 the server determines that the preset object is in the first Sales data in a time period, where the first time period is the sum of the arrival time when the preset object is replenished and the replenishment period of the preset object.
  • step S420 the server calculates according to the sales data of the preset object in the first time period, the arrival time of the preset object when replenishing, the average daily sales data of the preset object, the preset object.
  • the display quantity of the objects on the shelf and the basket inventory data of the preset object determine the safety stock data of the preset object, and the safety stock data of the preset object is the maximum safety stock data of the preset object.
  • the method can calculate the safety stock data of the preset object through multi-dimension, and the calculation method is more comprehensive, so that the safety stock data obtained by the calculation in this method is more accurate.
  • the multi-dimension may be the sales data of the preset object in the first time period, the arrival time when the preset object is replenished, the average daily sales data of the preset object, the display quantity of the preset object on the shelf, and the estimated amount of the preset object. Set the object's basket inventory data.
  • the sales volume of the preset object in the first time period is determined according to the arrival time of the preset object when the preset object is replenished, the replenishment period of the preset object, and the average daily sales data of the preset object data, where the first time period is the sum of the arrival time of the preset object when replenishing and the replenishment cycle of the preset object, and then replenishing the preset object according to the sales data of the preset object in the first time period and the preset object
  • the arrival time of the preset object, the average daily sales data of the preset object, the display quantity of the preset object on the shelf, and the inventory data of the preset object to determine the safety stock data of the preset object, the safety stock of the preset object
  • the data is the maximum safety stock data of the preset object.
  • the maximum safety stock data of the preset object can be calculated by the following formula:
  • Sum(FCST(1),...,FCST(VLT+NRT) is the sales data of the preset object in the first time period
  • k is the service level coefficient
  • ⁇ L is the arrival time of the preset object when replenishment
  • ⁇ D is the standard deviation of the daily average sales data of the preset object
  • ⁇ D is the daily average sales data of the preset object
  • ⁇ L is the sales volume of the preset object within the arrival time when the preset object is replenished Standard deviation
  • the display quantity is the display quantity of the preset object on the shelf
  • the left basket inventory is the left basket inventory data of the preset object.
  • the safety stock data of the preset object can be quickly prepared and calculated, and the replenishment timing of the preset object can be accurately determined according to the safety stock data of the preset object.
  • the above method further includes that the server adjusts the replenishment quantity of the preset object according to the minimum order quantity of the preset object, and obtains the adjusted replenishment quantity of the preset object, so that the preset object can be optimized in time the replenishment quantity to avoid the order being delayed.
  • sending the replenishment quantity of the preset object by the server to the warehouse management system includes: the server sending the adjusted replenishment quantity of the preset object to the warehouse management system, so that the warehouse management system can The replenishment quantity is shipped, which can further improve the readiness for replenishment.
  • Fig. 5 schematically shows a flowchart of a method for processing warehouse data according to another embodiment of the present invention.
  • the above method may further include steps S510 and S520.
  • step S510 the server determines whether the store information is in the preset list according to the store information to which the preset object belongs.
  • step S520 if the store information is in the preset list, the server stops sending the replenishment quantity of the preset object to the warehouse management system.
  • the method can determine whether the store information is in the preset list according to the store information to which the preset object belongs, and if the store information is in the preset list, stop sending the replenishment quantity of the preset object to the warehouse management system, which can effectively Avoid sending the replenishment quantity of the preset object to the warehouse management system by mistake, and further improve the replenishment efficiency.
  • the above store information may include, but is not limited to, store name, store address, store code, store owner's name, store owner's ID number, and the like.
  • the above-mentioned preset list may be a black list, which is used to store the information of stores that do not meet the replenishment conditions. For example, a store has been blacklisted due to reputation issues.
  • whether the store information is in the preset list is determined according to the store information to which the preset object belongs. For example, based on the store information to which the preset object belongs, it is queried from the preset list whether there is the same information as the preset object. If there is, it indicates that the store information to which the preset object belongs is in the preset list.
  • the sending of the replenishment quantity of the preset object to the warehouse management system is terminated, which can effectively avoid sending the warehouse management system to the warehouse management system.
  • the replenishment quantity of the preset object is sent by mistake, which further improves the replenishment efficiency.
  • FIG. 6 schematically shows a schematic diagram of calculating target inventory and replenishment points according to the present invention.
  • BP can represent the sum of the arrival time when the preset object is replenished, the replenishment cycle of the preset object, and the number of days in which the preset object is ready, and the average price can represent the day of the preset object.
  • VLT can represent the arrival time of the preset object when it is replenished
  • NRT can represent the replenishment cycle of the preset object
  • ss can represent the formula min (display volume, minimum display volume (not 0)), left basket inventory + 1) calculation.
  • the replenishment point can be the maximum safety stock data above.
  • the replenishment quantity of the preset object 320-(available inventory+in-transit inventory).
  • FIG. 7 schematically shows a schematic diagram of a warehouse data processing method according to the present invention.
  • A1 is the in-transit inventory, that is, the quantity of the above-mentioned preset objects in transit.
  • A2 is the available stock, that is, the quantity of the above preset objects in the store.
  • A3 is the total available stock, that is, the above current stock data.
  • A4 is the safety stock, that is, the above-mentioned maximum safety stock data.
  • A5 is the target inventory, that is, the above-mentioned target inventory data.
  • Sending replenishment requirements to the warehouse management system in the above manner can improve the replenishment accuracy of preset objects, increase the optimal replenishment quantity, reduce inventory loss, reduce operational workload, and improve the replenishment efficiency of preset objects.
  • the recommended order quantity is suitable for most replenishment-related business scenarios, improves the replenishment timeliness, and solves the core problems of the supply chain.
  • FIG. 8 schematically shows a block diagram of a warehouse data processing apparatus according to an embodiment of the present invention.
  • the warehouse data processing apparatus 200 includes a first obtaining module 201 , a first determining module 202 , a second determining module 203 , a second obtaining module 204 , a third determining module 205 and a sending module 206 .
  • the first obtaining module 201 is configured to obtain attribute data of the preset object.
  • the first determining module 202 is configured to determine the safety stock data of the preset object according to the attribute data of the preset object.
  • the second determination module 203 is configured to determine the target inventory data of the preset object according to the attribute data of the preset object.
  • the second acquiring module 204 is configured to acquire current inventory data of the preset object.
  • the third determination module 205 when the current inventory data of the preset object is less than or equal to the safety stock data of the preset object, determine according to the target inventory data of the preset object and the current inventory data of the preset object The replenishment quantity of the preset object.
  • the sending module 206 is configured to send the replenishment quantity of the preset object to the warehouse management system, so that the warehouse management system performs replenishment according to the replenishment quantity of the preset object.
  • the warehouse data processing device 200 can acquire attribute data of the preset object, determine the safety stock data of the preset object according to the attribute data of the preset object, determine the target inventory data of the preset object according to the attribute data of the preset object, and then acquire The current inventory data of the preset object, when the current inventory data of the preset object is less than or equal to the safety stock data of the preset object, determine the replenishment of the preset object according to the target inventory data of the preset object and the current inventory data of the preset object Quantity, and send the replenishment quantity of the preset object to the warehouse management system, so that the warehouse management system can replenish according to the replenishment quantity of the preset object, and in this way, the replenishment timeliness of the warehouse management system can be improved to a certain extent. , and improve the readiness to determine the timing and quantity of replenishment.
  • the warehouse data processing apparatus 200 may be used to implement the warehouse data processing method described in the embodiment of FIG. 2 .
  • FIG. 9 schematically shows a block diagram of a warehouse data processing apparatus according to another embodiment of the present invention.
  • the above-mentioned warehouse data processing apparatus 200 may further include a third acquiring module 207 and a fourth determining module 208 .
  • the third obtaining module 207 is configured to obtain sales data of the preset object within a historical time period.
  • the fourth determination module 208 is configured to determine the average daily sales data of the preset object according to the sales data of the preset object in the historical time period.
  • the warehouse data processing device 200 can determine the daily average sales data of the preset object according to the sales data of the preset object in the historical time period, so as to calculate the sales volume of the preset object in the future period of time according to the daily average sales data data.
  • the warehouse data processing apparatus 200 may be used to implement the warehouse data processing method described in the embodiment of FIG. 3 .
  • FIG. 10 schematically shows a block diagram of a warehouse data processing apparatus according to another embodiment of the present invention.
  • the above-mentioned first determination module 202 may specifically include a sales volume data determination module 202-1 and a safety stock data determination module 202-2.
  • the sales data determination module 202-1 is configured to determine the predetermined object according to the arrival time when the preset object is replenished, the replenishment period of the preset object, and the average daily sales data of the preset object. sales data of the preset object in a first time period, where the first time period is the sum of the arrival time when the preset object is replenished and the replenishment period of the preset object.
  • the safety stock data determination module 202-2 is configured to, according to the sales data of the preset object in the first time period, the arrival time when the preset object is replenished, and the average daily sales data of the preset object , the display quantity of the preset object on the shelf, and the basket inventory data of the preset object determine the safety stock data of the preset object, and the safety stock data of the preset object is the safety stock data of the preset object. Maximum safety stock data.
  • the first determining module 202 can calculate the safety stock data of the preset object through multiple dimensions, and this calculation method takes into account more comprehensively, so that the safety stock data obtained by the calculation in this method is more accurate.
  • the multi-dimension may be the sales data of the preset object in the first time period, the arrival time when the preset object is replenished, the average daily sales data of the preset object, the display quantity of the preset object on the shelf, and the estimated amount of the preset object. Set the object's basket inventory data.
  • the first determination module 202 may be used to implement the warehouse data processing method described in the embodiment of FIG. 4 .
  • the above-mentioned second determining module 203 is configured to: according to the average daily sales data of the preset object, the arrival time when the preset object is replenished, the The replenishment cycle and the stocking days of the preset object determine the target inventory data of the preset object.
  • FIG. 11 schematically shows a block diagram of a warehouse data processing apparatus according to another embodiment of the present invention.
  • the above-mentioned warehouse data processing apparatus 200 may further include an adjustment module 209 .
  • the adjustment module 209 is configured to adjust the replenishment quantity of the preset object according to the minimum order quantity of the preset object, and obtain the adjusted replenishment quantity of the preset object.
  • the warehousing data processing device 200 can adjust the replenishment quantity of the preset object according to the minimum order quantity of the preset object, and obtain the adjusted replenishment quantity of the preset object, so that the replenishment quantity of the preset object can be optimized in time to avoid the The order is delayed.
  • the above-mentioned sending module 206 is configured to send the adjusted replenishment quantity of the preset object to the warehouse management system.
  • FIG. 12 schematically shows a block diagram of a warehouse data processing apparatus according to another embodiment of the present invention.
  • the above-mentioned warehouse data processing apparatus 200 may further include a fifth determination module 210 and a termination module 211 .
  • the fifth determination module 210 is configured to determine whether the store information is in the preset list according to the store information to which the preset object belongs.
  • the termination module 211 if the store information is in the preset list, terminates sending the replenishment quantity of the preset object to the warehouse management system.
  • the warehousing data processing device 200 can determine whether the store information is in the preset list according to the store information to which the preset object belongs, and if the store information is in the preset list, stop sending the replenishment quantity of the preset object to the warehouse management system, This can effectively avoid sending the replenishment quantity of the preset object to the warehouse management system by mistake, and further improve the replenishment efficiency.
  • the warehouse data processing apparatus 200 may be used to implement the warehouse data processing method described in the embodiment of FIG. 5 .
  • each module of the warehouse data processing apparatus 200 can be used to implement the steps of the exemplary embodiments of the warehouse data processing method described in the foregoing 2 to FIG. , please refer to the embodiments of the above-mentioned storage data processing method of the present invention.
  • the sending module 206, the third obtaining module 207, the fourth determining module 208, the adjusting module 209, the fifth determining module 210, and the terminating module 211 may be combined in one module for implementation, or any one of the modules may be split into multiple modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of other modules and implemented in one module.
  • the first acquisition module 201, the first determination module 202, the sales data determination module 202-1, the safety stock data determination module 202-2, the second determination module 203, the second acquisition module 204, the third At least one of the determination module 205 , the sending module 206 , the third acquisition module 207 , the fourth determination module 208 , the adjustment module 209 , the fifth determination module 210 , and the termination module 211 may be implemented at least partially as a hardware circuit, such as a field Programmable Gate Array (FPGA), Programmable Logic Array (PLA), System on Chip, System on Substrate, System on Package, Application Specific Integrated Circuit (ASIC), or any other reasonable It can be implemented in hardware or firmware, or implemented in an appropriate combination of the three implementation modes of software, hardware and firmware.
  • FPGA field Programmable Gate Array
  • PLA Programmable Logic Array
  • ASIC Application Specific Integrated Circuit
  • the first acquisition module 201, the first determination module 202, the sales volume data determination module 202-1, the safety stock data determination module 202-2, the second determination module 203, the second acquisition module 204, the third determination module 205, send At least one of the module 206, the third acquisition module 207, the fourth determination module 208, the adjustment module 209, the fifth determination module 210, and the termination module 211 may be implemented at least in part as a computer program module, when the program is executed by a computer When the function of the corresponding module can be executed.
  • FIG. 13 shows a schematic structural diagram of a computer system 400 suitable for implementing an electronic device according to an embodiment of the present invention (for example, the electronic device may be the above-mentioned server).
  • the computer system 400 of the electronic device shown in FIG. 13 is only an example, and should not impose any limitation on the function and scope of use of the embodiments of the present invention.
  • a computer system 400 includes a central processing unit (CPU) 401, which can be loaded into a random access memory (RAM) 403 according to a program stored in a read only memory (ROM) 402 or a program from a storage section 408 Instead, various appropriate actions and processes are performed.
  • RAM random access memory
  • ROM read only memory
  • various programs and data required for system operation are also stored.
  • the CPU 401, the ROM 402, and the RAM 403 are connected to each other through a bus 404.
  • An input/output (I/O) interface 405 is also connected to bus 404 .
  • the following components are connected to the I/O interface 405: an input section 406 including a keyboard, a mouse, etc.; an output section 407 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 408 including a hard disk, etc. ; and a communication section 409 including a network interface card such as a LAN card, a modem, and the like. The communication section 409 performs communication processing via a network such as the Internet.
  • a drive 410 is also connected to the I/O interface 405 as needed.
  • a removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is mounted on the drive 410 as needed so that a computer program read therefrom is installed into the storage section 408 as needed.
  • embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the method illustrated in the flowchart.
  • the computer program may be downloaded and installed from the network via the communication portion 409 and/or installed from the removable medium 411 .
  • CPU central processing unit
  • the computer-readable medium shown in the present invention may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the above two.
  • the computer readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or a combination of any of the above. More specific examples of computer readable storage media may include, but are not limited to, electrical connections having one or more wires, portable computer disks, hard disks, 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 devices, magnetic storage devices, or any suitable combination of the above.
  • a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.
  • 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 therein. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • a computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device .
  • Program code embodied on a computer readable medium may be transmitted using any suitable medium including, but not limited to, wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
  • each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more logical functions for implementing the specified functions executable instructions.
  • the functions noted in the blocks may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.
  • the units involved in the embodiments of the present invention may be implemented in a software manner, or may be implemented in a hardware manner, and the described units may also be provided in a processor. Among them, the names of these units do not constitute a limitation on the unit itself under certain circumstances.
  • the present application also provides a computer-readable medium.
  • the computer-readable medium may be included in the electronic device described in the above embodiments; it may also exist alone without being assembled into the electronic device. middle.
  • the above computer readable medium carries one or more programs, and when the one or more programs are executed by an electronic device, the electronic device implements the warehouse data processing method described in the above embodiment.
  • the electronic device can implement as shown in FIG. 2 : in step S210 , the server obtains the attribute data of the preset object from the warehouse data table. In step S220, the server determines the safety stock data of the preset object according to the attribute data of the preset object. In step S230, the server determines target inventory data of the preset object according to the attribute data of the preset object. In step S240, the server obtains the current inventory data of the preset object from the storage data table. In step S250, when the current inventory data of the preset object is less than or equal to the safety inventory data of the preset object, the server determines according to the target inventory data of the preset object and the current inventory data of the preset object The replenishment quantity of the preset object. In step S260, the server sends the replenishment quantity of the preset object to the warehouse management system, so that the warehouse management system performs replenishment according to the replenishment quantity of the preset object.
  • modules or units of the apparatus for action performance are mentioned in the above detailed description, this division is not mandatory. Indeed, according to embodiments of the present invention, the features and functions of two or more modules or units described above may be embodied in one module or unit. Conversely, the features and functions of one module or unit described above may be further divided into multiple modules or units to be embodied.
  • the exemplary embodiments described herein may be implemented by software, or may be implemented by software combined with necessary hardware. Therefore, the technical solutions according to the embodiments of the present invention can be embodied in the form of software products, and the software products can be stored in a non-volatile storage medium (which can be CD-ROM, U disk, mobile hard disk, etc.) or on the network , which includes several instructions to cause a computing device (which may be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiment of the present invention.
  • a computing device which may be a personal computer, a server, a touch terminal, or a network device, etc.

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Abstract

一种仓储数据处理方法、装置、介质以及电子设备，方法包括：服务器（105）从仓储数据表中获取预设对象的属性数据（S210），服务器（105）根据预设对象的属性数据确定预设对象的安全库存数据（S220），服务器（105）根据预设对象的属性数据确定预设对象的目标库存数据（S230），服务器（105）从仓储数据表中获取预设对象的当前库存数据（S240），服务器（105）在预设对象的当前库存数据小于等于预设对象的安全库存数据时，服务器（105）根据预设对象的目标库存数据和预设对象的当前库存数据确定预设对象的补货数量（S250），向仓库管理系统发送预设对象的补货数量，以使得仓库管理系统根据预设对象的补货数量进行补货，在一定程度上提升仓库管理系统的补货时效，提升确定补货时机和补货数量的准备度。

Description

仓储数据处理方法、装置、介质及电子设备 技术领域
本发明涉及仓储数据处理的技术领域，具体而言，涉及一种仓储数据处理方法、装置、介质及电子设备。
背景技术
目前，仓库管理系统是依据人工经验来确定预设对象的补货时机和补货量。例如，对于门店的预设对象在补货时可以依靠人工经验来预测预设对象的销量、预设对象的库存数据等参数，辅助订货人员可以根据人工预设的参数做决策。但是，由于在确定预设对象的补货时机和补货量时涉及的参数比较复杂，因此仓库管理系统仅仅依据人工经验确定出的参数来确定预设对象的补货时机和补货量准确度较低，而且还比较耗时。
需要说明的是，在上述背景技术部分公开的信息仅用于加强对本发明的背景的理解，因此可以包括不构成对本领域普通技术人员已知的现有技术的信息。
发明内容
本发明实施例的目的在于提供一种仓储数据处理方法、装置、介质及电子设备，进而至少可以在一定程度上提升仓库管理系统的补货时效，以及提升确定补货时机和补货量的准备度。
本发明的其他特性和优点将通过下面的详细描述变得显然，或部分地通过本发明的实践而习得。
根据本发明实施例的第一方面，提供了一种仓储数据处理方法，包括：服务器从仓储数据表中获取预设对象的属性数据；服务器根据所述预设对象的属性数据确定所述预设对象的安全库存数据；服务器根据所述预设对象的属性数据确定所述预设对象的目标库存数据；服务器从所述仓储数据表中获取所述预设对象的当前库存数据；在所述预设对象的当前库存数据小于等于所述预设对象的安全库存数据时，服务器根据所述预设对象的目标库存数据和所述预设对象的当前库存数据确定所述预设对象的补货数量；服务器向仓库管理系统发送所述预设对象的补货数量，以使得所述仓库管理系统根据所述预设对象的补货数量进行补货。
在本发明的一些实施例中，所述预设对象的属性数据包括以下任意一项或多项：所述预设对象补货时的到货时长、所述预设对象的补货周期、所述预设对象的日均销数据、所述预设对象的备货天数、所述预设对象在货架的陈列量、所述预设对象的留筐库存数据。
在本发明的一些实施例中，该方法还包括：服务器从所述仓储数据表中获取所述预设对象在历史时间段内的销量数据；服务器根据所述预设对象在历史时间段内的销量数据确定所述预设对象的日均销数据。
在本发明的一些实施例中，服务器根据所述预设对象的属性数据确定所述预设对象的安全库存数据包括：服务器根据所述预设对象补货时的到货时长、所述预设对象的补货周期、以及所述预设对象的日均销数据确定所述预设对象在第一时间段内的销量数据，所述第一时间段为所述预设对象补货时的到货时长与所述预设对象的补货周期的和；服务器根据所述预设对象在第一时间段内的销量数据、所述预设对象补货时的到货时长、所述预设对象的日均销数据、所述预设对象在货架的陈列量、以及所述预设对象的留筐库存数据确定所述预设对象的安全库存数据，所述预设对象的安全库存数据为所述预设对象的最大安全库存数据。
在本发明的一些实施例中，服务器根据所述预设对象的属性数据确定所述预设对象的目标库存数据包括：服务器根据所述预设对象的日均销数据、所述预设对象补货时的到货时长、所述预设对象的补货周期、以及所述预设对象的备货天数确定所述预设对象的目标库存数据。
在本发明的一些实施例中，该方法还包括：服务器根据所述预设对象的最小起订数量调整所述预设对象的补货数量，获取所述预设对象调整后的补货数量；服务器向所述仓库管理系统发送所述预设对象的补货数量包括：服务器向所述仓库管理系统发送所述预设对象调整后的补货数量。
在本发明的一些实施例中，该方法还包括：服务器根据所述预设对象所属的门店信息确定所述门店信息是否在预设名单；如果所述门店信息在所述预设名单中，则服务器终止向所述仓库管理系统发送所述预设对象的补货数量。
根据本发明实施例的第二方面，提供了一种仓储数据处理装置，包括：第一获取模块，用于获取预设对象的属性数据；第一确定模块，用于根据所述预设对象的属性数据确定所述预设对象的安全库存数据；第二确定模块，用于根据所述预设对象的属性数据确定所述预设对象的目标库存数据；第二获取模块，用于获取所述预设对象的当前库存数据；第三确定模块，在所述预设对象的当前库存数据小于等于所述预设对象的安全库存数据时，根据所述预设对象的目标库存数据和所述预设对象的当前库存数据确定所述预设对象的补货数量；发送模块，用于向仓库管理系统发送所述预设对象的补货数量，以使得所述仓库管理系统根据所述预设对象的补货数量进行补货。
在本发明的一些实施例中，所述预设对象的属性数据包括以下任意一项或多项：所述预设对象补货时的到货时长、所述预设对象的补货周期、所述预设对象的日均销数据、所述预设对象的备货天数、所述预设对象在货架的陈列量、所述预设对象的留筐库存数据。
在本发明的一些实施例中，该装置还包括：第三获取模块，用于获取所述预设对象在历史时间段内的销量数据；第四确定模块，用于根据所述预设对象在历史时间段内的销量数据确定所述预设对象的日均销数据。
在本发明的一些实施例中，上述第一确定模块包括：销量数据确定模块，用于根据所述预设对象补货时的到货时长、所述预设对象的补货周期、以及所述预设对象的日均销数 据确定所述预设对象在第一时间段内的销量数据，所述第一时间段为所述预设对象补货时的到货时长与所述预设对象的补货周期的和；安全库存数据确定模块，用于根据所述预设对象在第一时间段内的销量数据、所述预设对象补货时的到货时长、所述预设对象的日均销数据、所述预设对象在货架的陈列量、以及所述预设对象的留筐库存数据确定所述预设对象的安全库存数据，所述预设对象的安全库存数据为所述预设对象的最大安全库存数据。
在本发明的一些实施例中，上述第二确定模块被配置为：根据所述预设对象的日均销数据、所述预设对象补货时的到货时长、所述预设对象的补货周期、以及所述预设对象的备货天数确定所述预设对象的目标库存数据。
在本发明的一些实施例中，该装置还包括：调整模块，用于根据所述预设对象的最小起订数量调整所述预设对象的补货数量，获取所述预设对象调整后的补货数量；上述发送模块被配置为：向所述仓库管理系统发送所述预设对象调整后的补货数量。
在本发明的一些实施例中，该装置还包括：第五确定模块，用于根据所述预设对象所属的门店信息确定所述门店信息是否在预设名单；终止模块，如果所述门店信息在所述预设名单中，则终止向所述仓库管理系统发送所述预设对象的补货数量。
根据本发明实施例的第三方面，提供了一种电子设备，包括：一个或多个处理器；存储装置，用于存储一个或多个程序，当所述一个或多个程序被所述一个或多个处理器执行时，使得所述一个或多个处理器实现如上述实施例中第一方面所述的仓储数据处理方法。
根据本发明实施例的第四方面，提供了一种计算机可读介质，其上存储有计算机程序，所述程序被处理器执行时实现如上述实施例中第一方面所述的仓储数据处理方法。
本发明实施例提供的技术方案可以包括以下有益效果：
在本发明的一些实施例所提供的技术方案中，通过获取预设对象的属性数据，根据预设对象的属性数据确定预设对象的安全库存数据，根据预设对象的属性数据确定预设对象的目标库存数据，然后再获取预设对象的当前库存数据，在预设对象的当前库存数据小于等于预设对象的安全库存数据时，根据预设对象的目标库存数据和预设对象的当前库存数据确定预设对象的补货数量，并向仓库管理系统发送预设对象的补货数量，以使得仓库管理系统可以根据预设对象的补货数量进行补货，以此方式可以在一定程度上提升仓库管理系统的补货时效，以及提升确定补货时机和补货数量的准备度。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性和解释性的，并不能限制本发明。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分，示出了符合本发明的实施例，并与说明书一起用于解释本发明的原理。显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据 这些附图获得其他的附图。在附图中：
图1示出了可以应用本发明实施例的仓储数据处理方法或仓储数据处理装置的示例性系统架构的示意图；
图2示意性示出了根据本发明的实施例的仓储数据处理方法的流程图；
图3示意性示出了根据本发明的另一个实施例的仓储数据处理方法的流程图；
图4示意性示出了根据本发明的另一个实施例的仓储数据处理方法的流程图；
图5示意性示出了根据本发明的另一个实施例的仓储数据处理方法的流程图；
图6示意性示出了根据本发明的计算目标库存和补货点的示意图；
图7示意性示出了根据本发明的仓储数据处理方法的示意图；
图8示意性示出了根据本发明的实施例的仓储数据处理装置的方框图；
图9示意性示出了根据本发明的另一个实施例的仓储数据处理装置的方框图；
图10示意性示出了根据本发明的另一个实施例的仓储数据处理装置的方框图；
图11示意性示出了根据本发明的另一个实施例的仓储数据处理装置的方框图；
图12示意性示出了根据本发明的另一个实施例仓储数据处理装置的方框图；
图13示出了适于用来实现本发明实施例的电子设备的计算机系统的结构示意图。
具体实施方式
现在将参考附图更全面地描述示例实施方式。然而，示例实施方式能够以多种形式实施，且不应被理解为限于在此阐述的范例；相反，提供这些实施方式使得本发明将更加全面和完整，并将示例实施方式的构思全面地传达给本领域的技术人员。
此外，所描述的特征、结构或特性可以以任何合适的方式结合在一个或更多实施例中。在下面的描述中，提供许多具体细节从而给出对本发明的实施例的充分理解。然而，本领域技术人员将意识到，可以实践本发明的技术方案而没有特定细节中的一个或更多，或者可以采用其它的方法、组元、装置、步骤等。在其它情况下，不详细示出或描述公知方法、装置、实现或者操作以避免模糊本发明的各方面。
附图中所示的方框图仅仅是功能实体，不一定必须与物理上独立的实体相对应。即，可以采用软件形式来实现这些功能实体，或在一个或多个硬件模块或集成电路中实现这些功能实体，或在不同网络和/或处理器装置和/或微控制器装置中实现这些功能实体。
附图中所示的流程图仅是示例性说明，不是必须包括所有的内容和操作/步骤，也不是必须按所描述的顺序执行。例如，有的操作/步骤还可以分解，而有的操作/步骤可以合并或部分合并，因此实际执行的顺序有可能根据实际情况改变。
图1示出了可以应用本发明实施例的仓储数据处理方法或仓储数据处理装置的示例性系统架构的示意图。
如图1所示，系统架构100可以包括终端设备101、102、103中的一种或多种，网络104和服务器105。网络104用以在终端设备101、102、103和服务器105之间提供通信 链路的介质。网络104可以包括各种连接类型，例如有线、无线通信链路或者光纤电缆等等。
应该理解，图1中的终端设备、网络和服务器的数目仅仅是示意性的。根据实现需要，可以具有任意数目的终端设备、网络和服务器。比如服务器105可以是多个服务器组成的服务器集群等。
用户可以使用终端设备101、102、103通过网络104与服务器105交互，以接收或发送消息等。终端设备101、102、103可以是具有显示屏的各种电子设备，包括但不限于智能手机、平板电脑、便携式计算机和台式计算机等等。
服务器105可以是提供各种服务的服务器。例如服务器105可以从终端设备103(也可以是终端设备101或102)仓储数据表中获取预设对象的属性数据，根据预设对象的属性数据确定预设对象的安全库存数据，根据预设对象的属性数据确定预设对象的目标库存数据，然后再获取预设对象的当前库存数据，在预设对象的当前库存数据小于等于预设对象的安全库存数据时，根据预设对象的目标库存数据和预设对象的当前库存数据确定预设对象的补货数量，并向仓库管理系统发送预设对象的补货数量，以使得仓库管理系统可以根据预设对象的补货数量进行补货，以此方式可以在一定程度上提升仓库管理系统的补货时效，以及提升确定补货时机和补货数量的准备度。
在一些实施例中，本发明实施例所提供的仓储数据处理方法一般由服务器105执行，相应地，仓储数据处理装置一般设置于服务器105中。在另一些实施例中，某些终端可以具有与服务器相似的功能从而执行本方法。因此，本发明实施例所提供的仓储数据处理方法不限定在服务器端执行。
图2示意性示出了根据本发明的实施例的仓储数据处理方法的流程图。
如图2所示，仓储数据处理方法可以包括步骤S210～步骤S260。
在步骤S210中，服务器从仓储数据表中获取预设对象的属性数据。
在步骤S220中，服务器根据所述预设对象的属性数据确定所述预设对象的安全库存数据。
在步骤S230中，服务器根据所述预设对象的属性数据确定所述预设对象的目标库存数据。
在步骤S240中，服务器从仓储数据表中获取所述预设对象的当前库存数据。
在步骤S250中，在所述预设对象的当前库存数据小于等于所述预设对象的安全库存数据时，服务器根据所述预设对象的目标库存数据和所述预设对象的当前库存数据确定所述预设对象的补货数量。
在步骤S260中，服务器向仓库管理系统发送所述预设对象的补货数量，以使得所述仓库管理系统根据所述预设对象的补货数量进行补货。
该方法可以根据预设对象的属性数据确定预设对象的安全库存数据，根据预设对象的属性数据确定预设对象的目标库存数据，然后再获取预设对象的当前库存数据，在预设对 象的当前库存数据小于等于预设对象的安全库存数据时，根据预设对象的目标库存数据和预设对象的当前库存数据确定预设对象的补货数量，并向仓库管理系统发送预设对象的补货数量，以使得仓库管理系统可以根据预设对象的补货数量进行补货，以此方式可以在一定程度上提升仓库管理系统的补货时效，以及提升确定补货时机和补货数量的准备度。
在本发明的一个实施例中，上述预设对象可以是线下门店中的商品。例如，该预设对象可以是生鲜商品(例如，活鱼、活虾、蔬菜、水果、面包)。
在本发明的一个实施例中，上述仓储数据表中可以是存储在终端的数据表，也可以是存储在上述服务器的数据表。上述预设对象的属性数据包括以下任意一项或多项：预设对象补货时的到货时长、预设对象的补货周期、预设对象的日均销数据、预设对象的备货天数、预设对象在货架的陈列量、预设对象的留筐库存数据。例如，预设对象补货时的到货时长可以指从订货人员下单时刻起到订货人员收到货物的时长。预设对象的补货周期可以指该预设对象隔多长时间补一次货。预设对象的日均销数据可以指该预设对象在过去一段时间内每天平均的销量。预设对象的备货天数可以指供货商备货的时长。预设对象在货架的陈列量可以指该预设对象在门店货架上陈列的数量。预设对象的留筐库存数据可以指用户在购买该预设对象时将其放入筐中但是最后没有对其进行结账的数量。
在本发明的一个实施例中，根据预设对象的属性数据来确定该预设对象的安全库存数据。例如，根据预设对象补货时的到货时长、预设对象的补货周期、以及预设对象的日均销数据确定预设对象在第一时间段内的销量数据，其中，第一时间段为预设对象补货时的到货时长与预设对象的补货周期的和，然后根据预设对象在第一时间段内的销量数据、预设对象补货时的到货时长、预设对象的日均销数据、预设对象在货架的陈列量、以及预设对象的留筐库存数据确定预设对象的安全库存数据，所述预设对象的安全库存数据为预设对象的最大安全库存数据。具体地，通过下面公式可以计算预设对象的最大安全库存数据：
Figure PCTCN2021091640-appb-000001
min(陈列量，最小陈列量(不为0的))，留筐库存+1)
其中，Sum(FCST(1),…,FCST(VLT+NRT)为预设对象在第一时间段内的销量数据，k为服务水平系数，μ L为预设对象补货时的到货时长的均值，σ D为预设对象的日均销数据的标准差，μ D为预设对象的日均销数据，σ L为预设对象补货时的到货时长内预设对象的销量的标准差，陈列量为预设对象在货架的陈列量，留筐库存为预设对象的留筐库存数据。
通过上述公式可以快速准备的计算出预设对象的安全库存数据，根据该预设对象的安全库存数据可以精准的确定出预设对象的补货时机。例如，在预设对象的当前库存数据小于等于预设对象的安全库存数据时可以作为预设对象的补货时机。
在本发明的一个实施例中，服务器根据预设对象的属性数据确定预设对象的目标库存数据包括：服务器根据预设对象的日均销数据、预设对象补货时的到货时长、预设对象的补货周期、以及预设对象的备货天数确定所述预设对象的目标库存数据。例如，预设对象的日均销数据为10件，预设对象补货时的到货时长为7天，预设对象的补货周期为5天， 预设对象的备货天数为20天，预设对象的目标库存数据＝10*(7+5+20)＝320件。在本实施例中，当达到补货时机时，即在预设对象的当前库存数据小于等于上述预设对象的安全库存数据时，根据预设对象的目标库存数据和预设对象的当前库存数据可以确定该预设对象的补货数量，以此方式计算出的补货数量更加准确。
图3示意性示出了根据本发明的另一个实施例的仓储数据处理方法的流程图。
如图3所示，上述方法还可以包括步骤S207和S208。
在步骤S207中，服务器从上述仓储数据表中获取所述预设对象在历史时间段内的销量数据。
在步骤S208中，服务器根据所述预设对象在历史时间段内的销量数据确定所述预设对象的日均销数据。
该方法可以根据预设对象在历史时间段内的销量数据确定该预设对象的日均销数据，以便于根据该日均销数据计算出未来一段时间内该预设对象的销量数据。
在本发明的一个实施例中，上述预设对象在历史时间段内的销量数据可以指该预设对象在过去7天、一个月、三个月等时间段内的销量。
在本实施例中，可以根据该预设对象在历史时间段内的销量数据计算该预设对象的日均销数据。例如，历史时间段为7天，7天的销量数据分别为100件、90件、110件、80件、120件、95件、85件。根据该7天的销量数据可以计算出预设对象的日均销数据，例如，预设对象的日均销数据＝(100+90+110+80+120+95+85)/7＝97。
图4示意性示出了根据本发明的另一个实施例的仓储数据处理方法的流程图。
如图4所示，上述步骤S220具体可以包括步骤S410～步骤S420，如图4所示。
在步骤S410中，服务器根据所述预设对象补货时的到货时长、所述预设对象的补货周期、以及所述预设对象的日均销数据确定所述预设对象在第一时间段内的销量数据，所述第一时间段为所述预设对象补货时的到货时长与所述预设对象的补货周期的和。
在步骤S420中，服务器根据所述预设对象在第一时间段内的销量数据、所述预设对象补货时的到货时长、所述预设对象的日均销数据、所述预设对象在货架的陈列量、以及所述预设对象的留筐库存数据确定所述预设对象的安全库存数据，所述预设对象的安全库存数据为所述预设对象的最大安全库存数据。
该方法可以通过多维度来计算预设对象的安全库存数据，这样的计算方式考虑的更加全面，使得通过该方式计算获得的安全库存数据更加准确。例如，多维度可以是预设对象在第一时间段内的销量数据、预设对象补货时的到货时长、预设对象的日均销数据、预设对象在货架的陈列量、以及预设对象的留筐库存数据。
在本发明的一个实施例中，根据预设对象补货时的到货时长、预设对象的补货周期、以及预设对象的日均销数据确定预设对象在第一时间段内的销量数据，其中，第一时间段为预设对象补货时的到货时长与预设对象的补货周期的和，然后根据预设对象在第一时间段内的销量数据、预设对象补货时的到货时长、预设对象的日均销数据、预设对象在货架 的陈列量、以及预设对象的留筐库存数据确定预设对象的安全库存数据，所述预设对象的安全库存数据为预设对象的最大安全库存数据。具体地，通过下面公式可以计算预设对象的最大安全库存数据：
Figure PCTCN2021091640-appb-000002
min(陈列量，最小陈列量(不为0的))，留筐库存+1)
其中，Sum(FCST(1),…,FCST(VLT+NRT)为预设对象在第一时间段内的销量数据，k为服务水平系数，μ L为预设对象补货时的到货时长的均值，σ D为预设对象的日均销数据的标准差，μ D为预设对象的日均销数据，σ L为预设对象补货时的到货时长内预设对象的销量的标准差，陈列量为预设对象在货架的陈列量，留筐库存为预设对象的留筐库存数据。
通过上述公式可以快速准备的计算出预设对象的安全库存数据，根据该预设对象的安全库存数据可以精准的确定出预设对象的补货时机。
在本发明的一个实施例中，上述方法还包括服务器根据预设对象的最小起订数量调整预设对象的补货数量，获取预设对象调整后的补货数量，这样可以及时优化预设对象的补货数量，避免该次订单被滞后。
在本发明的一个实施例中，服务器向仓库管理系统发送预设对象的补货数量包括：服务器向仓库管理系统发送所述预设对象调整后的补货数量，使得仓库管理系统可以根据调整后的补货数量进行出货，这样可以进一步的提升补货时的准备度。
图5示意性示出了根据本发明的另一个实施例的仓储数据处理方法的流程图。
如图5所示，上述方法还可以包括步骤S510和步骤S520。
在步骤S510中，服务器根据所述预设对象所属的门店信息确定所述门店信息是否在预设名单。
在步骤S520中，如果所述门店信息在所述预设名单中，则服务器终止向所述仓库管理系统发送所述预设对象的补货数量。
该方法可以根据预设对象所属的门店信息确定门店信息是否在预设名单，如果门店信息在所述预设名单中，则终止向仓库管理系统发送预设对象的补货数量，这样可以有效地避免向仓库管理系统错发预设对象的补货数量，进一步的提升补货效率。
在本发明的一个实施例中，上述门店信息可以包括但不限于门店名称、门店地址、门店编码、门店店主的名字、门店店主的身份证号等等。
在本发明的一个实施例中，上述预设名单可以是黑名单，用于保存不符合补货条件的门店信息。例如，某门店因信誉问题被列入黑名单。
在本发明的一个实施例中，根据预设对象所属的门店信息确定该门店信息是否在预设名单。例如，基于该预设对象所属的门店信息从预设名单查询是否存在与其相同的信息，如果存在，表明在预设对象所属的门店信息在该预设名单中。
在本发明的一个实施例中，如果从预设名单中查询到该预设对象所属的门店信息，则终止向仓库管理系统发送预设对象的补货数量，这样可以有效地避免向仓库管理系统错发 预设对象的补货数量，进一步的提升补货效率。
图6示意性示出了根据本发明的计算目标库存和补货点的示意图。
如图6所示，BP可以表示预设对象补货时的到货时长、预设对象的补货周期、以及预设对象的备货天数三者的和，均销可以表示预设对象的日均销数据。目标库存可以表示预设对象的目标库存数据。例如，预设对象的日均销数据为10件，预设对象补货时的到货时长为7天，预设对象的补货周期为5天，预设对象的备货天数为20天，预设对象的目标库存数据＝10*(7+5+20)＝320件。
VLT可以表示预设对象补货时的到货时长，NRT可以表示预设对象的补货周期，ss可以表示通过公式
Figure PCTCN2021091640-appb-000003
min(陈列量，最小陈列量(不为0的))，留筐库存+1)计算。补货点可以是上述最大安全库存数据。
建议补货量可以是上述预设对象的补货数量，可用库存+在途库存＝上述当前库存数据，其中，可用库存可以指该预设对象在门店中的数量，在途库存可以指该预设对象在运输途中的数量。
基于上述预设对象的目标库存数据＝10*(7+5+20)＝320件，那么预设对象的补货数量＝320-(可用库存+在途库存)。
图7示意性示出了根据本发明的仓储数据处理方法的示意图。
如图7所示，A1为在途库存，即上述预设对象在运输途中的数量。A2为可用库存，即上述预设对象在门店中的数量。A3为总可供应库存，即上述当前库存数据。A4为安全库存，即上述最大安全库存数据。A5为目标库存，即上述目标库存数据。
S1：判断总可供应库存是否小于等于安全库存；
S2：如果否，则建议补货量为零，即上述预设对象的补货数量为零。
S3：如果是，则根据目标库存和总可供应库存计算补货需求，即预设对象的补货数量。例如，补货需求＝目标库存-总可供应库存。
通过上述方式向仓库管理系统发送补货需求，可以提升预设对象的补货准确度，提高最佳补货数量，降低库存损耗，减少运营工作量，提高预设对象的补货效率。另外，利用未来销量预测数据和现有库存信息综合考虑补货配置给出建议下单量、并通过自动补货配置自动下单，假订未来销量走势和预测销量数据一致、通过公式计算出合理的建议下单量，这样契合大多数补货相关的业务场景，提升补货时效，解决供应链核心问题。
图8示意性示出了根据本发明的实施例的仓储数据处理装置的方框图。
如图8所示，仓储数据处理装置200包括第一获取模块201、第一确定模块202、第二确定模块203、第二获取模块204、第三确定模块205和发送模块206。
具体地，第一获取模块201，用于获取预设对象的属性数据。
第一确定模块202，用于根据所述预设对象的属性数据确定所述预设对象的安全库存数据。
第二确定模块203，用于根据所述预设对象的属性数据确定所述预设对象的目标库存 数据。
第二获取模块204，用于获取所述预设对象的当前库存数据。
第三确定模块205，在所述预设对象的当前库存数据小于等于所述预设对象的安全库存数据时，根据所述预设对象的目标库存数据和所述预设对象的当前库存数据确定所述预设对象的补货数量。
发送模块206，用于向仓库管理系统发送所述预设对象的补货数量，以使得所述仓库管理系统根据所述预设对象的补货数量进行补货。
该仓储数据处理装置200可以获取预设对象的属性数据，根据预设对象的属性数据确定预设对象的安全库存数据，根据预设对象的属性数据确定预设对象的目标库存数据，然后再获取预设对象的当前库存数据，在预设对象的当前库存数据小于等于预设对象的安全库存数据时，根据预设对象的目标库存数据和预设对象的当前库存数据确定预设对象的补货数量，并向仓库管理系统发送预设对象的补货数量，以使得仓库管理系统可以根据预设对象的补货数量进行补货，以此方式可以在一定程度上提升仓库管理系统的补货时效，以及提升确定补货时机和补货数量的准备度。
根据本发明的实施例，该仓储数据处理装置200可以用于实现图2实施例描述的仓储数据处理方法。
图9示意性示出了根据本发明的另一个实施例的仓储数据处理装置的方框图。
如图9所示，上述仓储数据处理装置200还可以包括第三获取模块207和第四确定模块208。
具体地，第三获取模块207，用于获取所述预设对象在历史时间段内的销量数据。
第四确定模块208，用于根据所述预设对象在历史时间段内的销量数据确定所述预设对象的日均销数据。
该仓储数据处理装置200可以根据预设对象在历史时间段内的销量数据确定该预设对象的日均销数据，以便于根据该日均销数据计算出未来一段时间内该预设对象的销量数据。
根据本发明的实施例，该仓储数据处理装置200可以用于实现图3实施例描述的仓储数据处理方法。
图10示意性示出了根据本发明的另一个实施例的仓储数据处理装置的方框图。
如图10所示，上述第一确定模块202具体可以包括销量数据确定模块202-1和安全库存数据确定模块202-2。
具体地，销量数据确定模块202-1，用于根据所述预设对象补货时的到货时长、所述预设对象的补货周期、以及所述预设对象的日均销数据确定所述预设对象在第一时间段内的销量数据，所述第一时间段为所述预设对象补货时的到货时长与所述预设对象的补货周期的和。
安全库存数据确定模块202-2，用于根据所述预设对象在第一时间段内的销量数据、 所述预设对象补货时的到货时长、所述预设对象的日均销数据、所述预设对象在货架的陈列量、以及所述预设对象的留筐库存数据确定所述预设对象的安全库存数据，所述预设对象的安全库存数据为所述预设对象的最大安全库存数据。
该第一确定模块202可以通过多维度来计算预设对象的安全库存数据，这样的计算方式考虑的更加全面，使得通过该方式计算获得的安全库存数据更加准确。例如，多维度可以是预设对象在第一时间段内的销量数据、预设对象补货时的到货时长、预设对象的日均销数据、预设对象在货架的陈列量、以及预设对象的留筐库存数据。
根据本发明的实施例，该第一确定模块202可以用于实现图4实施例描述的仓储数据处理方法。
在本发明的一些实施例中，上述第二确定模块203被配置为：根据所述预设对象的日均销数据、所述预设对象补货时的到货时长、所述预设对象的补货周期、以及所述预设对象的备货天数确定所述预设对象的目标库存数据。
图11示意性示出了根据本发明的另一个实施例的仓储数据处理装置的方框图。
如图11所示，上述仓储数据处理装置200还可以包括调整模块209。
具体地，调整模块209，用于根据所述预设对象的最小起订数量调整所述预设对象的补货数量，获取所述预设对象调整后的补货数量。
该仓储数据处理装置200可以根据预设对象的最小起订数量调整预设对象的补货数量，获取预设对象调整后的补货数量，这样可以及时优化预设对象的补货数量，避免该次订单被滞后。
在本发明的一些实施例中，上述发送模块206被配置为：向所述仓库管理系统发送所述预设对象调整后的补货数量。
图12示意性示出了根据本发明的另一个实施例的仓储数据处理装置的方框图。
如图12所示，上述仓储数据处理装置200还可以包括第五确定模块210和终止模块211。
具体地，第五确定模块210，用于根据所述预设对象所属的门店信息确定所述门店信息是否在预设名单。
终止模块211，如果所述门店信息在所述预设名单中，则终止向所述仓库管理系统发送所述预设对象的补货数量。
该仓储数据处理装置200可以根据预设对象所属的门店信息确定门店信息是否在预设名单，如果门店信息在所述预设名单中，则终止向仓库管理系统发送预设对象的补货数量，这样可以有效地避免向仓库管理系统错发预设对象的补货数量，进一步的提升补货效率。
根据本发明的实施例，该仓储数据处理装置200可以用于实现图5实施例描述的仓储数据处理方法。
由于本发明的示例实施例的仓储数据处理装置200的各个模块可以用于实现上述2～ 图5描述的仓储数据处理方法的示例实施例的步骤，因此对于本发明装置实施例中未披露的细节，请参照本发明上述的仓储数据处理方法的实施例。
可以理解的是，第一获取模块201、第一确定模块202、销量数据确定模块202-1、安全库存数据确定模块202-2、第二确定模块203、第二获取模块204、第三确定模块205、发送模块206、第三获取模块207、第四确定模块208、调整模块209、第五确定模块210、以及终止模块211可以合并在一个模块中实现，或者其中的任意一个模块可以被拆分成多个模块。或者，这些模块中的一个或多个模块的至少部分功能可以与其他模块的至少部分功能相结合，并在一个模块中实现。根据本发明的实施例，第一获取模块201、第一确定模块202、销量数据确定模块202-1、安全库存数据确定模块202-2、第二确定模块203、第二获取模块204、第三确定模块205、发送模块206、第三获取模块207、第四确定模块208、调整模块209、第五确定模块210、以及终止模块211中的至少一个可以至少被部分地实现为硬件电路，例如现场可编程门阵列(FPGA)、可编程逻辑阵列(PLA)、片上系统、基板上的系统、封装上的系统、专用集成电路(ASIC)，或可以以对电路进行集成或封装的任何其他的合理方式等硬件或固件来实现，或以软件、硬件以及固件三种实现方式的适当组合来实现。或者，第一获取模块201、第一确定模块202、销量数据确定模块202-1、安全库存数据确定模块202-2、第二确定模块203、第二获取模块204、第三确定模块205、发送模块206、第三获取模块207、第四确定模块208、调整模块209、第五确定模块210、以及终止模块211中的至少一个可以至少被部分地实现为计算机程序模块，当该程序被计算机运行时，可以执行相应模块的功能。
下面参考图13，其示出了适于用来实现本发明实施例的电子设备(例如，该电子设备可以是上述服务器)的计算机系统400的结构示意图。图13示出的电子设备的计算机系统400仅是一个示例，不应对本发明实施例的功能和使用范围带来任何限制。
如图13所示，计算机系统400包括中央处理单元(CPU)401，其可以根据存储在只读存储器(ROM)402中的程序或者从存储部分408加载到随机访问存储器(RAM)403中的程序而执行各种适当的动作和处理。在RAM 403中，还存储有系统操作所需的各种程序和数据。CPU 401、ROM 402以及RAM 403通过总线404彼此相连。输入/输出(I/O)接口405也连接至总线404。
以下部件连接至I/O接口405：包括键盘、鼠标等的输入部分406；包括诸如阴极射线管(CRT)、液晶显示器(LCD)等以及扬声器等的输出部分407；包括硬盘等的存储部分408；以及包括诸如LAN卡、调制解调器等的网络接口卡的通信部分409。通信部分409经由诸如因特网的网络执行通信处理。驱动器410也根据需要连接至I/O接口405。可拆卸介质411，诸如磁盘、光盘、磁光盘、半导体存储器等等，根据需要安装在驱动器410上，以便于从其上读出的计算机程序根据需要被安装入存储部分408。
特别地，根据本发明的实施例，上文参考流程图描述的过程可以被实现为计算机软件程序。例如，本发明的实施例包括一种计算机程序产品，其包括承载在计算机可读介质上 的计算机程序，该计算机程序包含用于执行流程图所示的方法的程序代码。在这样的实施例中，该计算机程序可以通过通信部分409从网络上被下载和安装，和/或从可拆卸介质411被安装。在该计算机程序被中央处理单元(CPU)401执行时，执行本申请的系统中限定的上述功能。
需要说明的是，本发明所示的计算机可读介质可以是计算机可读信号介质或者计算机可读存储介质或者是上述两者的任意组合。计算机可读存储介质例如可以是——但不限于——电、磁、光、电磁、红外线、或半导体的系统、装置或器件，或者任意以上的组合。计算机可读存储介质的更具体的例子可以包括但不限于：具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、随机访问存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、光纤、便携式紧凑磁盘只读存储器(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。在本发明中，计算机可读存储介质可以是任何包含或存储程序的有形介质，该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。而在本发明中，计算机可读的信号介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了计算机可读的程序代码。这种传播的数据信号可以采用多种形式，包括但不限于电磁信号、光信号或上述的任意合适的组合。计算机可读的信号介质还可以是计算机可读存储介质以外的任何计算机可读介质，该计算机可读介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。计算机可读介质上包含的程序代码可以用任何适当的介质传输，包括但不限于：无线、电线、光缆、RF等等，或者上述的任意合适的组合。
附图中的流程图和框图，图示了按照本发明各种实施例的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上，流程图或框图中的每个方框可以代表一个模块、程序段、或代码的一部分，上述模块、程序段、或代码的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。也应当注意，在有些作为替换的实现中，方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如，两个接连地表示的方框实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这依所涉及的功能而定。也要注意的是，框图或流程图中的每个方框、以及框图或流程图中的方框的组合，可以用执行规定的功能或操作的专用的基于硬件的系统来实现，或者可以用专用硬件与计算机指令的组合来实现。
描述于本发明实施例中所涉及到的单元可以通过软件的方式实现，也可以通过硬件的方式来实现，所描述的单元也可以设置在处理器中。其中，这些单元的名称在某种情况下并不构成对该单元本身的限定。
作为另一方面，本申请还提供了一种计算机可读介质，该计算机可读介质可以是上述实施例中描述的电子设备中所包含的；也可以是单独存在，而未装配入该电子设备中。上述计算机可读介质承载有一个或者多个程序，当上述一个或者多个程序被一个该电子设备执行时，使得该电子设备实现如上述实施例中所述的仓储数据处理方法。
例如，所述的电子设备可以实现如图2中所示的：在步骤S210中，服务器从仓储数据表中获取预设对象的属性数据。在步骤S220中，服务器根据所述预设对象的属性数据确定所述预设对象的安全库存数据。在步骤S230中，服务器根据所述预设对象的属性数据确定所述预设对象的目标库存数据。在步骤S240中，服务器从仓储数据表中获取所述预设对象的当前库存数据。在步骤S250中，在所述预设对象的当前库存数据小于等于所述预设对象的安全库存数据时，服务器根据所述预设对象的目标库存数据和所述预设对象的当前库存数据确定所述预设对象的补货数量。在步骤S260中，服务器向仓库管理系统发送所述预设对象的补货数量，以使得所述仓库管理系统根据所述预设对象的补货数量进行补货。
应当注意，尽管在上文详细描述中提及了用于动作执行的设备的若干模块或者单元，但是这种划分并非强制性的。实际上，根据本发明的实施方式，上文描述的两个或更多模块或者单元的特征和功能可以在一个模块或者单元中具体化。反之，上文描述的一个模块或者单元的特征和功能可以进一步划分为由多个模块或者单元来具体化。
通过以上的实施方式的描述，本领域的技术人员易于理解，这里描述的示例实施方式可以通过软件实现，也可以通过软件结合必要的硬件的方式来实现。因此，根据本发明实施方式的技术方案可以以软件产品的形式体现出来，该软件产品可以存储在一个非易失性存储介质(可以是CD-ROM，U盘，移动硬盘等)中或网络上，包括若干指令以使得一台计算设备(可以是个人计算机、服务器、触控终端、或者网络设备等)执行根据本发明实施方式的方法。
本领域技术人员在考虑说明书及实践这里公开的发明后，将容易想到本发明的其它实施方案。本申请旨在涵盖本发明的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本发明的一般性原理并包括本发明未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本发明的真正范围和精神由下面的权利要求指出。
应当理解的是，本发明并不局限于上面已经描述并在附图中示出的精确结构，并且可以在不脱离其范围进行各种修改和改变。本发明的范围仅由所附的权利要求来限制。

Claims (10)

  1. 一种仓储数据处理方法，其特征在于，包括：
    服务器从仓储数据表中获取预设对象的属性数据；
    所述服务器根据所述预设对象的属性数据确定所述预设对象的安全库存数据；
    所述服务器根据所述预设对象的属性数据确定所述预设对象的目标库存数据；
    所述服务器从所述仓储数据表中获取所述预设对象的当前库存数据；
    在所述预设对象的当前库存数据小于等于所述预设对象的安全库存数据时，所述服务器根据所述预设对象的目标库存数据和所述预设对象的当前库存数据确定所述预设对象的补货数量；
    所述服务器向仓库管理系统发送所述预设对象的补货数量，以使得所述仓库管理系统根据所述预设对象的补货数量进行补货。
  2. 根据权利要求1所述的方法，其特征在于，所述预设对象的属性数据包括以下任意一项或多项：所述预设对象补货时的到货时长、所述预设对象的补货周期、所述预设对象的日均销数据、所述预设对象的备货天数、所述预设对象在货架的陈列量、所述预设对象的留筐库存数据。
  3. 根据权利要求2所述的方法，其特征在于，该方法还包括：
    所述服务器从所述仓储数据表中获取所述预设对象在历史时间段内的销量数据；
    所述服务器根据所述预设对象在历史时间段内的销量数据确定所述预设对象的日均销数据。
  4. 根据权利要求3所述的方法，其特征在于，所述服务器根据所述预设对象的属性数据确定所述预设对象的安全库存数据包括：
    所述服务器根据所述预设对象补货时的到货时长、所述预设对象的补货周期、以及所述预设对象的日均销数据确定所述预设对象在第一时间段内的销量数据，所述第一时间段为所述预设对象补货时的到货时长与所述预设对象的补货周期的和；
    所述服务器根据所述预设对象在第一时间段内的销量数据、所述预设对象补货时的到货时长、所述预设对象的日均销数据、所述预设对象在货架的陈列量、以及所述预设对象的留筐库存数据确定所述预设对象的安全库存数据，所述预设对象的安全库存数据为所述预设对象的最大安全库存数据。
  5. 根据权利要求3所述的方法，其特征在于，所述服务器根据所述预设对象的属性数据确定所述预设对象的目标库存数据包括：
    所述服务器根据所述预设对象的日均销数据、所述预设对象补货时的到货时长、所述预设对象的补货周期、以及所述预设对象的备货天数确定所述预设对象的目标库存数据。
  6. 根据权利要求1所述的方法，其特征在于，该方法还包括：
    所述服务器根据所述预设对象的最小起订数量调整所述预设对象的补货数量，获取所述预设对象调整后的补货数量；
    所述服务器向所述仓库管理系统发送所述预设对象的补货数量包括：
    所述服务器向所述仓库管理系统发送所述预设对象调整后的补货数量。
  7. 根据权利要求1～6任意一项所述的方法，其特征在于，该方法还包括：
    所述服务器根据所述预设对象所属的门店信息确定所述门店信息是否在预设名单；
    如果所述门店信息在所述预设名单中，则所述服务器终止向所述仓库管理系统发送所述预设对象的补货数量。
  8. 一种仓储数据处理装置，其特征在于，包括：
    第一获取模块，用于获取预设对象的属性数据；
    第一确定模块，用于根据所述预设对象的属性数据确定所述预设对象的安全库存数据；
    第二确定模块，用于根据所述预设对象的属性数据确定所述预设对象的目标库存数据；
    第二获取模块，用于获取所述预设对象的当前库存数据；
    第三确定模块，在所述预设对象的当前库存数据小于等于所述预设对象的安全库存数据时，根据所述预设对象的目标库存数据和所述预设对象的当前库存数据确定所述预设对象的补货数量；
    发送模块，用于向仓库管理系统发送所述预设对象的补货数量，以使得所述仓库管理系统根据所述预设对象的补货数量进行补货。
  9. 一种电子设备，包括：
    一个或多个处理器；以及
    存储装置，用于存储一个或多个程序，当所述一个或多个程序被所述一个或多个处理器执行时，使得所述一个或多个处理器实现根据权利要求1～7中任意一项所述的方法。
  10. 一种计算机可读介质，其上存储有计算机程序，其特征在于，所述程序被处理器执行时实现根据权利要求1～7中任意一项所述的方法。
PCT/CN2021/091640 2020-09-27 2021-04-30 仓储数据处理方法、装置、介质及电子设备 WO2022062412A1 (zh)

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