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 PDFInfo
- 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
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- preset object
- data
- preset
- replenishment
- server
- Prior art date
Links
- 238000003672 processing method Methods 0.000 title abstract description 26
- 238000000034 method Methods 0.000 claims abstract description 37
- 238000007726 management method Methods 0.000 claims description 51
- 238000012545 processing Methods 0.000 claims description 35
- 238000004590 computer program Methods 0.000 claims description 10
- TVEXGJYMHHTVKP-UHFFFAOYSA-N 6-oxabicyclo[3.2.1]oct-3-en-7-one Chemical compound C1C2C(=O)OC1C=CC2 TVEXGJYMHHTVKP-UHFFFAOYSA-N 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 23
- 230000006870 function Effects 0.000 description 10
- 238000004891 communication Methods 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 2
- 230000003111 delayed effect Effects 0.000 description 2
- 239000013307 optical fiber Substances 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 241000251468 Actinopterygii Species 0.000 description 1
- 241000238557 Decapoda Species 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 235000008429 bread Nutrition 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000000758 substrate Substances 0.000 description 1
- 235000013311 vegetables Nutrition 0.000 description 1
Images
Classifications
-
- 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.
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Operations Research (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Entrepreneurship & Innovation (AREA)
- Quality & Reliability (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Software Systems (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Description
Claims (10)
- 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。
- 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。
- 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。
- 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。
- 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。
- 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。
- 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。
- 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。
- 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。
- 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。
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP21870800.6A EP4195124A4 (en) | 2020-09-27 | 2021-04-30 | METHOD AND DEVICE FOR STORING DATA, MEDIUM AND ELECTRONIC DEVICE |
JP2022569256A JP7507884B2 (ja) | 2020-09-27 | 2021-04-30 | 倉庫保管データの処理方法、装置、電子機器、プログラム、及び記録媒体 |
US18/043,058 US20240020633A1 (en) | 2020-09-27 | 2021-04-30 | Warehousing data processing method and apparatus, medium, and electronic device |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011032679.4 | 2020-09-27 | ||
CN202011032679.4A CN113807757A (zh) | 2020-09-27 | 2020-09-27 | 仓储数据处理方法、装置、介质及电子设备 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2022062412A1 true WO2022062412A1 (zh) | 2022-03-31 |
Family
ID=78943543
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CN2021/091640 WO2022062412A1 (zh) | 2020-09-27 | 2021-04-30 | 仓储数据处理方法、装置、介质及电子设备 |
Country Status (5)
Country | Link |
---|---|
US (1) | US20240020633A1 (zh) |
EP (1) | EP4195124A4 (zh) |
JP (1) | JP7507884B2 (zh) |
CN (1) | CN113807757A (zh) |
WO (1) | WO2022062412A1 (zh) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116011934A (zh) * | 2023-03-21 | 2023-04-25 | 深圳美云集网络科技有限责任公司 | 一种基于目标库存的商品补货方法和系统 |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114912865A (zh) * | 2022-04-12 | 2022-08-16 | 杉数科技(北京)有限公司 | 库存数据处理方法、装置、计算机可读介质及电子设备 |
CN115759663A (zh) * | 2022-11-24 | 2023-03-07 | 北京远舢智能科技有限公司 | 一种线边仓配料方法、装置、电子设备及存储介质 |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106971249A (zh) * | 2017-05-05 | 2017-07-21 | 北京挖玖电子商务有限公司 | 一种销量预测及补货方法 |
CN107256473A (zh) * | 2017-06-08 | 2017-10-17 | 北京惠赢天下网络技术有限公司 | 一种基于仓储的标准箱货品的配送调整方法及装置 |
US20180268368A1 (en) * | 2015-11-23 | 2018-09-20 | Cainiao Smart Logistics Holding Limited | Method and device for processing transaction information of merchandise object assembly |
CN109272265A (zh) * | 2017-07-17 | 2019-01-25 | 阿里巴巴集团控股有限公司 | 数据对象库存信息处理方法、装置及系统 |
Family Cites Families (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP3945941B2 (ja) * | 1999-06-08 | 2007-07-18 | 株式会社日立製作所 | 安全在庫率による在庫補充方法 |
JP4300734B2 (ja) * | 2002-01-21 | 2009-07-22 | 住友化学株式会社 | 生産計画システム |
JP4139410B2 (ja) * | 2006-01-30 | 2008-08-27 | アクセンチュア株式会社 | 最適在庫量/発注量を指示する発注指示システム |
CN107767203A (zh) * | 2016-08-22 | 2018-03-06 | 英业达科技有限公司 | 基于物联网的商场导购系统及其方法 |
CN109840734A (zh) * | 2017-11-29 | 2019-06-04 | 北京京东尚科信息技术有限公司 | 信息输出方法和装置 |
CN109993516A (zh) * | 2018-01-02 | 2019-07-09 | 阿里巴巴集团控股有限公司 | 商品的信息处理方法、装置及系统 |
CN110020817B (zh) * | 2018-01-08 | 2024-04-19 | 北京京东尚科信息技术有限公司 | 采购方法、装置、系统及介质 |
CN108269045A (zh) * | 2018-03-22 | 2018-07-10 | 四川爱非客网络科技有限公司 | 一种基于大数据的仓库补货系统 |
CN110689159B (zh) * | 2018-07-06 | 2024-06-21 | 北京京东尚科信息技术有限公司 | 一种商品补货的方法和装置 |
CN109285246A (zh) * | 2018-08-03 | 2019-01-29 | 深圳神目信息技术有限公司 | 无人值守超市的管控方法及管控系统 |
CN111429048B (zh) * | 2019-01-09 | 2024-04-16 | 北京沃东天骏信息技术有限公司 | 确定补货信息的方法、装置及设备 |
-
2020
- 2020-09-27 CN CN202011032679.4A patent/CN113807757A/zh active Pending
-
2021
- 2021-04-30 EP EP21870800.6A patent/EP4195124A4/en active Pending
- 2021-04-30 JP JP2022569256A patent/JP7507884B2/ja active Active
- 2021-04-30 WO PCT/CN2021/091640 patent/WO2022062412A1/zh active Application Filing
- 2021-04-30 US US18/043,058 patent/US20240020633A1/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180268368A1 (en) * | 2015-11-23 | 2018-09-20 | Cainiao Smart Logistics Holding Limited | Method and device for processing transaction information of merchandise object assembly |
CN106971249A (zh) * | 2017-05-05 | 2017-07-21 | 北京挖玖电子商务有限公司 | 一种销量预测及补货方法 |
CN107256473A (zh) * | 2017-06-08 | 2017-10-17 | 北京惠赢天下网络技术有限公司 | 一种基于仓储的标准箱货品的配送调整方法及装置 |
CN109272265A (zh) * | 2017-07-17 | 2019-01-25 | 阿里巴巴集团控股有限公司 | 数据对象库存信息处理方法、装置及系统 |
Non-Patent Citations (1)
Title |
---|
See also references of EP4195124A4 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116011934A (zh) * | 2023-03-21 | 2023-04-25 | 深圳美云集网络科技有限责任公司 | 一种基于目标库存的商品补货方法和系统 |
CN116011934B (zh) * | 2023-03-21 | 2023-09-01 | 深圳美云集网络科技有限责任公司 | 一种基于目标库存的商品补货方法和系统 |
Also Published As
Publication number | Publication date |
---|---|
EP4195124A4 (en) | 2024-08-21 |
CN113807757A (zh) | 2021-12-17 |
JP2023525366A (ja) | 2023-06-15 |
US20240020633A1 (en) | 2024-01-18 |
EP4195124A1 (en) | 2023-06-14 |
JP7507884B2 (ja) | 2024-06-28 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2022062412A1 (zh) | 仓储数据处理方法、装置、介质及电子设备 | |
WO2022237667A1 (zh) | 确定订单履约仓库的方法和装置 | |
CN110689159B (zh) | 一种商品补货的方法和装置 | |
CN110738436B (zh) | 一种确定可用库存的方法和装置 | |
CN110020817B (zh) | 采购方法、装置、系统及介质 | |
CN110689157A (zh) | 一种确定调拨关系的方法和装置 | |
WO2023124363A1 (zh) | 库存的确定方法和装置 | |
CN110738508B (zh) | 一种数据分析方法和装置 | |
CN113537861B (zh) | 补货方法和补货装置 | |
CN110827102B (zh) | 用于调货比价的方法和装置 | |
CN114663015A (zh) | 补货方法和装置 | |
CN109978421A (zh) | 信息输出方法和装置 | |
CN110555641B (zh) | 一种仓储调拨方法和装置 | |
CN110858350A (zh) | 订单处理方法及系统、计算机系统和计算机可读存储介质 | |
CN113763100A (zh) | 一种订单处理方法和装置 | |
CN113780914A (zh) | 库存调配方法和装置 | |
CN113450042A (zh) | 一种确定补货量的方法和装置 | |
CN112347417A (zh) | 补货量确定方法和装置 | |
CN114553614B (zh) | 带宽成本估算方法、装置、设备、介质和程序产品 | |
US20230089895A1 (en) | System and methods for bid optimization in real-time bidding | |
CN110956478A (zh) | 确定物品进货量的方法和装置 | |
CN112862415B (zh) | 运输车辆调度方法、装置、电子设备和计算机可读介质 | |
CN115115313A (zh) | 一种订单时效管理方法和装置 | |
CN113538080A (zh) | 一种任务单拆分方法和装置 | |
CN112651536A (zh) | 确定配送地址的方法和装置 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 21870800 Country of ref document: EP Kind code of ref document: A1 |
|
ENP | Entry into the national phase |
Ref document number: 2022569256 Country of ref document: JP Kind code of ref document: A |
|
WWE | Wipo information: entry into national phase |
Ref document number: 18043058 Country of ref document: US |
|
ENP | Entry into the national phase |
Ref document number: 2021870800 Country of ref document: EP Effective date: 20230308 |
|
NENP | Non-entry into the national phase |
Ref country code: DE |