CN109978429B - Method and apparatus for outputting information - Google Patents

Method and apparatus for outputting information Download PDF

Info

Publication number
CN109978429B
CN109978429B CN201711465863.6A CN201711465863A CN109978429B CN 109978429 B CN109978429 B CN 109978429B CN 201711465863 A CN201711465863 A CN 201711465863A CN 109978429 B CN109978429 B CN 109978429B
Authority
CN
China
Prior art keywords
inventory
item
average
processed
days
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201711465863.6A
Other languages
Chinese (zh)
Other versions
CN109978429A (en
Inventor
王淑英
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
Original Assignee
Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Jingdong Century Trading Co Ltd, Beijing Jingdong Shangke Information Technology Co Ltd filed Critical Beijing Jingdong Century Trading Co Ltd
Priority to CN201711465863.6A priority Critical patent/CN109978429B/en
Publication of CN109978429A publication Critical patent/CN109978429A/en
Application granted granted Critical
Publication of CN109978429B publication Critical patent/CN109978429B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G06Q10/0875Itemisation or classification of parts, supplies or services, e.g. bill of materials
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Game Theory and Decision Science (AREA)
  • Data Mining & Analysis (AREA)
  • Human Resources & Organizations (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the application discloses a method and a device for outputting information. One embodiment of the method comprises: acquiring article information of a target article, wherein the article information comprises an article identifier, an average inventory, an average sales volume and at least one warehousing time corresponding to the target article in the inventory; determining the number of days of stock turnover of the target item based on the average inventory and the average sales volume; determining the inventory duration of a target object based on at least one inventory time corresponding to the target object in the inventory; in response to determining that the number of inventory turnaround days is greater than a preset threshold number of inventory turnaround days and the length of inventory time is greater than a preset first threshold length of inventory time, outputting an item identification for the target item. This embodiment improves the accuracy of the identification of the lost article.

Description

Method and apparatus for outputting information
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to the technical field of information processing, and particularly relates to a method and a device for outputting information.
Background
The retail enterprises have the common characteristic of low gross profit, and the improvement of the overall profitability of the retail enterprises can start from the improvement of the inventory turnover rate and the reduction of the lost products. The lost products firstly increase the warehouse cost and the management cost; secondly, the inventory pressure is increased, so that a large amount of funds are occupied, and the circulation of cash flow of enterprises is influenced; finally, the sale of lost products, if not cleaned in time, may create a risk of being difficult to resale due to overdue spoilage, or out of season. Therefore, identifying the lost product and timely processing the identified lost product play an important role.
Disclosure of Invention
The embodiment of the application provides a method and a device for outputting information.
In a first aspect, an embodiment of the present application provides a method for outputting information, including: acquiring article information of a target article, wherein the article information comprises an article identifier, an average inventory, an average sales volume and at least one warehousing time corresponding to the target article in the inventory; determining the number of days of stock turnover of the target item based on the average inventory and the average sales volume; determining the inventory duration of a target object based on at least one inventory time corresponding to the target object in the inventory; in response to determining that the number of inventory turnaround days is greater than a preset threshold number of inventory turnaround days and the length of inventory time is greater than a preset first threshold length of inventory time, outputting an item identification for the target item.
In some embodiments, outputting the item identification of the target item comprises: determining whether the item identifier exists in a preset item identifier set; in response to determining that the item identifier does not exist in the set of item identifiers, outputting the item identifier for the target item.
In some embodiments, the average inventory amounts comprise at least two average inventory amounts over at least two preset time periods, and the average sales amounts comprise at least two average sales amounts over at least two preset time periods; and determining the number of days of stock turnover for the target item based on the average inventory and the average sales, comprising: selecting the smallest average inventory quantity from the at least two average inventory quantities, and selecting the largest average sales quantity from the at least two average sales quantities; the ratio of the minimum average inventory to the maximum average sales is determined as the number of days of stock turnover for the target item.
In some embodiments, determining the inventory duration of the target item based on at least one warehousing time corresponding to the target item in the inventory comprises: and selecting the earliest warehousing time from at least one warehousing time, and determining the difference between the current time and the earliest warehousing time as the maximum warehousing duration of the target object.
In some embodiments, prior to outputting the item identification of the target item, the method further comprises: and adding the item identification of the target item into the set of the item identifications to be processed.
In some embodiments, the method further comprises: counting the number of the to-be-processed articles, of which the inventory time length corresponding to the to-be-processed article identifier is greater than a preset second inventory time length threshold value, as the to-be-processed number of the to-be-processed articles corresponding to the to-be-processed article identifier, for each to-be-processed article identifier in the to-be-processed article identifier set; determining the sum of the to-be-processed quantity of each to-be-processed article as the total quantity to be processed; acquiring the total inventory of the articles in the warehouse where the target article is located, and determining the ratio of the total inventory to be processed to the total inventory as the inventory proportion of the articles to be processed; and outputting the total quantity to be processed and the inventory proportion.
In a second aspect, an embodiment of the present application provides an apparatus for outputting information, including: the system comprises an acquisition unit, a storage unit and a display unit, wherein the acquisition unit is configured to acquire article information of a target article, and the article information comprises an article identifier, an average inventory, an average sales amount and at least one warehousing time corresponding to the target article in inventory; a first determination unit configured to determine a number of days of stock turnaround of the target item based on the average stock quantity and the average sales volume; the second determining unit is configured to determine the inventory duration of the target object based on at least one inventory time corresponding to the target object in the inventory; a first output unit configured to output an item identification of the target item in response to determining that the number of inventory turnover days is greater than a preset threshold number of inventory turnover days and the length of inventory is greater than a preset first threshold length of inventory.
In some embodiments, the first output unit includes: a determining module configured to determine whether the item identifier exists in a preset item identifier set; an output module configured to output the item identifier of the target item in response to determining that the item identifier does not exist in the set of item identifiers.
In some embodiments, the average inventory amounts comprise at least two average inventory amounts over at least two preset time periods, and the average sales amounts comprise at least two average sales amounts over at least two preset time periods; and a first determination unit including: the selecting module is configured to select the minimum average inventory amount from the at least two average inventory amounts and select the maximum average sales amount from the at least two average sales amounts; a determination module configured to determine a ratio of the minimum average inventory amount to the maximum average sales amount as a number of inventory turnaround days for the target item.
In some embodiments, the second determining unit is further configured to: and selecting the earliest warehousing time from at least one warehousing time, and determining the difference between the current time and the earliest warehousing time as the maximum warehousing duration of the target object.
In some embodiments, the apparatus further comprises: and the adding unit is configured for adding the item identification of the target item into the set of the item identifications to be processed.
In some embodiments, the apparatus further comprises: the counting unit is configured to count, for each to-be-processed item identifier in the to-be-processed item identifier set, the number of to-be-processed items, of which the inventory time length corresponding to the to-be-processed item identifier is greater than a preset second inventory time length threshold, as the to-be-processed number of to-be-processed items corresponding to the to-be-processed item identifier; the third determining unit is configured to determine the sum of the to-be-processed quantities of the to-be-processed articles as the total to-be-processed quantity; the fourth determining unit is configured to acquire the total inventory amount of the articles in the warehouse where the target article is located, and determine the ratio of the total inventory amount to be processed to the total inventory amount as the inventory proportion of the articles to be processed; and the second output unit is configured for outputting the total quantity to be processed and the stock ratio.
In a third aspect, an embodiment of the present application further provides an electronic device, including: one or more processors; the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors realize the method for outputting the information provided by the application.
In a fourth aspect, the present application also provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the method for outputting information provided by the present application.
According to the method and the device for outputting the information, the article information comprising the article identification, the average inventory quantity, the average sales quantity and at least one warehousing time corresponding to the target article in the inventory is firstly obtained, then the number of days of stock turnover of the target article is determined based on the average inventory quantity and the average sales quantity, then the duration of inventory of the target article is determined based on at least one warehousing time corresponding to the target article in the inventory, and finally the article identification of the target article is output if the number of days of stock turnover is larger than a preset threshold of the number of days of stock turnover and the duration of inventory is larger than a preset threshold of a first warehousing time, so that the number of days of stock turnover and the duration of inventory are effectively utilized, and the accuracy of identifying the lost article is improved.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;
FIG. 2 is a flow diagram for one embodiment of a method for outputting information, in accordance with the present application;
FIG. 3 is a schematic diagram of an application scenario of a method for outputting information according to the present application;
FIG. 4 is a flow diagram of yet another embodiment of a method for outputting information according to the present application;
FIG. 5 is a schematic block diagram illustrating one embodiment of an apparatus for outputting information according to the present application;
FIG. 6 is a schematic block diagram of a computer system suitable for use in implementing an electronic device according to embodiments of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 shows an exemplary system architecture 100 to which the method for outputting information or the apparatus for outputting information of the present application may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. Various communication client applications, such as a supply chain management application, an instant messaging tool, a mailbox client, a search application, etc., may be installed on the terminal devices 101, 102, 103.
The terminal devices 101, 102, 103 may be various electronic devices having display screens and supporting information interaction, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 105 may be a server providing various services, such as a background server providing support for the item identification of the target item output by the terminal device 101, 102, 103. The background server may analyze and perform other processing on the acquired article information and the like, and feed back a processing result (e.g., an article identifier) to the terminal device.
It should be noted that the method for outputting information provided in the embodiment of the present application is generally performed by the server 105, and accordingly, the apparatus for outputting information is generally disposed in the server 105.
It is noted that the locality of the server 105 may also directly store the item identification, in which case the exemplary system architecture 100 may be absent of the terminal devices 101, 102, 103 and the network 104.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to FIG. 2, a flow 200 of one embodiment of a method for outputting information in accordance with the present application is shown. The method for outputting information comprises the following steps:
step 201, acquiring the item information of the target item.
In this embodiment, an electronic device (for example, a server shown in fig. 1) on which the method for outputting information operates may acquire item information of a target item, where the item information may include an item identifier, an average stock quantity, an average sales amount, and at least one warehousing time corresponding to the target item in stock. The item identifier may include an item name and a SKU (Stock Keeping Unit), where the SKU is a basic Unit for inventory entry and exit metering and may also be referred to as a product uniform number, and each item corresponds to a unique SKU. The inventory refers to the number of product objects which are not sold temporarily in an enterprise warehouse at a certain time point, and the average inventory may refer to the ratio of the sum of the inventory of each day in a preset time period to the number of days corresponding to the time period. The average sales amount may refer to a ratio of the sum of sales amounts per day for a preset time period to the number of days corresponding to the time period. The target items in the inventory refer to target items actually stored in the warehouse, and since a merchant purchases a batch of commodities when a predetermined purchasing time point is reached in order to prevent the commodities from being out of stock, different purchasing batches of target items usually exist in the inventory, and each batch of target items corresponds to one warehousing time. Here, the target item may be an actual commodity occupying a warehouse storage space of the merchant.
In this case, the electronic device may directly obtain the item information of the target item from the local place. The article information of the target article may be transmitted to the electronic device by the other electronic device connected to the electronic device through a wired connection or a wireless connection. The wireless connection mode may include, but is not limited to, a 3G/4G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a uwb (ultra wideband) connection, and other currently known or future developed wireless connection modes.
In step 202, the number of days to turnaround for the target item is determined based on the average inventory and the average sales volume.
In this embodiment, the average inventory amount may be an average inventory amount in a first preset time period (for example, ten days, twenty days, or one month in the past), the average sales amount may be an average inventory amount in a second preset time period (for example, ten days, fifteen days, or one month in the past), and the first preset time period and the second preset time period may be the same time period or different time periods.
In this embodiment, the electronic device may determine the number of days of stock turnover of the target item based on the average stock quantity and the average sales volume. Specifically, the electronic device may determine a ratio of the average stock amount to the average sales amount as the number of days of stock turnover of the target item. In practice, the smaller the number of days of stock turnover, the faster the turnover speed of the stock of the company is, and the better the sales condition of the goods is.
Step 203, determining the inventory duration of the target object based on at least one inventory time corresponding to the target object in the inventory.
In this embodiment, the electronic device may determine an inventory duration of the target item based on at least one warehousing time corresponding to the target item in inventory. Specifically, for each warehousing time in the at least one warehousing time, the electronic device may determine a difference between the current time and the warehousing time as an inventory duration of the target item corresponding to the warehousing time. Then, the electronic device may select a minimum inventory duration from at least one inventory duration of the target item corresponding to the at least one warehousing time as the inventory duration of the target item; the average inventory duration of the at least one inventory duration can also be determined as the inventory duration of the target item; the electronic equipment can also acquire the inventory quantity of the target object in the inventory corresponding to each warehousing time, and determine the difference between the current time and the warehousing time corresponding to the maximum inventory quantity as the inventory duration of the target object. The inventory duration may also be referred to as an inventory period, and may refer to the average time from warehousing to warehousing (selling) of the inventory item.
At step 204, it is determined whether the number of inventory turnover days is greater than a preset threshold number of inventory turnover days.
In this embodiment, the electronic device may determine whether the number of days of stock turnover determined in step 202 is greater than a preset threshold number of days of stock turnover, and if so, may perform step 205. The electronic device may store a first correspondence table between a category and a threshold number of stock turnaround days, and the electronic device may first determine a category to which the target item belongs, and may acquire the threshold number of stock turnaround days corresponding to the category to which the target item belongs from the first correspondence table; thereafter, it may be determined whether the number of inventory turnaround days for the target item is greater than the threshold number of inventory turnaround days acquired.
It should be noted that the threshold of the number of days of stock turnover may be adjusted according to the category to which the target item belongs. Generally speaking, the threshold of the number of days of stock turnover is proportional to the length of the shelf life of the item, for example, the threshold of the number of days of stock turnover for food products (e.g., fruits and vegetables, seafood, milk, etc.) can be set small, and the threshold of the number of days of stock turnover for living goods products (e.g., toothbrushes, towels, cups, etc.) can be set large.
Step 205, determining whether the inventory duration is greater than a preset first inventory duration threshold.
In this embodiment, if it is determined in step 204 that the number of days of stock turnover is greater than the threshold number of days of stock turnover, the electronic device may further determine whether the stock duration determined in step 203 is greater than a preset first stock duration threshold, and if so, may execute step 206. The electronic device may store a second correspondence table between a category and an inventory duration threshold, and the electronic device may first determine a category to which the target item belongs, and may obtain the inventory duration threshold corresponding to the category to which the target item belongs from the second correspondence table; then, it may be determined whether the inventory duration of the target item is greater than the acquired inventory duration threshold.
It should be noted that the inventory duration threshold may also be adjusted according to the category to which the target item belongs, and generally speaking, the inventory duration threshold is proportional to the duration of the shelf life of the item, for example, the inventory duration threshold of the food product may be set to be smaller, and the inventory duration threshold of the living goods product may be set to be larger.
And step 206, outputting the item identification of the target item.
In this embodiment, if it is determined in step 205 that the inventory time period is greater than the first inventory time period threshold, the electronic device may output an item identifier of the target item. The electronic equipment can present the object identification of the target object in a text form, an audio form, an image form and the like; the item identifier of the target item may also be stored locally on the electronic device, or stored on another electronic device; and pushing the article identification of the target article to the user terminal so that the user terminal can present the article identification of the target article.
In some optional implementations of this embodiment, if it is determined in step 205 that the inventory duration is greater than the first inventory duration threshold, the electronic device may add the item identifier of the target item to a set of item identifiers to be processed. The mark of the article to be processed can also be called a mark of a lost article, and the lost article refers to that the product on the market is not popular with consumers for some reasons, so that the selling speed is extremely slow.
In some optional implementations of this embodiment, for each to-be-processed item identifier in the to-be-processed item identifier set, the electronic device may count, as the to-be-processed number (the number of lost sales) of the to-be-processed item corresponding to the to-be-processed item identifier, the number of to-be-processed items, of the to-be-processed items corresponding to the to-be-processed item identifier, of which the inventory duration corresponding to the to-be-processed item identifier is greater than a preset second inventory duration threshold (for example, one month, three months, or the like); then, the electronic device may determine the sum of the to-be-processed quantities of the to-be-processed items as the total to-be-processed quantity; then, the total inventory of the articles in the warehouse where the target article is located can be obtained, and the ratio of the total quantity to be processed to the total inventory can be determined as the inventory proportion of the articles to be processed; finally, the electronic device may output the total number to be processed and the stock ratio, that is, output the total number of the lost articles and the stock ratio of the lost articles. The electronic equipment can present the total quantity to be processed and the inventory proportion in a text form, an audio form, an image form and the like; the total quantity to be processed and the stock ratio can be stored locally in the electronic equipment, or the total quantity to be processed and the stock ratio can be stored in other electronic equipment; the total quantity to be processed and the stock ratio can be pushed to the user terminal so that the user terminal can display the total quantity to be processed and the stock ratio. A user (e.g., a purchasing person) may make a purchasing decision from information such as a total number of the lost items and an inventory proportion of the lost items, e.g., determine a next time to purchase each lost item, plan a promotional program for each lost item, and the like.
As an example, for shampoo of brand a, the electronic device may acquire three warehousing times corresponding to shampoo of brand a in the inventory, which are 3 months and 20 days, 4 months and 20 days, and 5 months and 20 days. The electronic device may determine a difference 63 days between 5-month 22 days and 3-month 20 days of the current time as the inventory duration of the brand-A shampoo warehoused in 3-month 20 days, may determine a difference 32 days between 5-month 22 days and 4-month 20 days of the current time as the inventory duration of the brand-A shampoo warehoused in 4-month 20 days, and may determine a difference 2 days between 5-month 22 days and 5-month 20 days of the current time as the inventory duration of the brand-A shampoo warehoused in 5-month 20 days. If the preset second inventory duration threshold is 50 days, the inventory duration 63 days of the brand a shampoo which is warehoused in 20 days in 3 months is greater than the second inventory duration threshold 50 days, and the electronic equipment can take 102 pieces of the brand a shampoo which is warehoused in 20 days in 3 months as the to-be-processed quantity (lost quantity) of the brand a shampoo.
With continued reference to fig. 3, fig. 3 is a schematic diagram of an application scenario of the method for outputting information according to the present embodiment. In the application scenario of fig. 3, a server 301 first obtains article information 303 of brand a shampoo, where the article information 303 includes an article identifier 3031, an average stock quantity 3032, an average sales quantity 3033, and at least one warehousing time 3034 corresponding to brand a shampoo in stock, where the article identifier 3031 is 100012, the average stock quantity 3032 is 120, the average sales quantity 3033 is 5 pieces per day, and the at least one warehousing time 3034 corresponding to brand a shampoo in stock is 3 months and 20 days, 4 months and 20 days, 5 months and 20 days, respectively; then, the server 301 determines 304 stock turnover days of the brand a shampoo based on the average stock quantity 3032 and the average sales quantity 3033, and the server 301 may determine the ratio 24 of 120 pieces of the average stock quantity to 5 pieces of the average sales quantity per day as 304 stock turnover days of the brand a shampoo; then, the server 301 determines the inventory duration 305 of the brand a shampoo based on at least one warehousing time 3034 corresponding to the brand a shampoo in the inventory, the server 301 may acquire that the inventory quantity of the brand a shampoo in the inventory corresponding to the warehousing time 3, 20 and days is 56, the inventory quantity of the brand a shampoo in the inventory corresponding to the warehousing time 4, 20 and days is 30, the inventory quantity of the brand a shampoo in the inventory corresponding to the warehousing time 5, 20 and days is 48, and the server 301 may determine the difference 63 days between the current time 5, 22 and the warehousing time 3, 20 and days corresponding to the maximum inventory quantity of 56 as the inventory duration 305 of the brand a shampoo; finally, the server 301 determines that the number of inventory turnaround days 24 is greater than the preset inventory turnaround days threshold 306: 20 days, and it is determined that the inventory length of 63 days is greater than the inventory length threshold 307: for 50 days, the server 301 may push the article identifier 3031 of brand a shampoo to the user terminal 302.
The method provided by the embodiment of the application determines whether to output the item identifier of the target item based on the number of inventory turnover days and the inventory duration of the target item, so that the accuracy of identifying the lost item is improved.
With further reference to fig. 4, a flow 400 of yet another embodiment of a method for outputting information is shown. The process 400 of the method for outputting information includes the steps of:
step 401, obtaining item information of a target item.
In this embodiment, the operation of step 401 is substantially the same as the operation of step 201, and is not described herein again.
Step 402, selecting the smallest average inventory quantity from the at least two average inventory quantities, and selecting the largest average sales quantity from the at least two average sales quantities.
In the present embodiment, the above-mentioned average stock amounts may include at least two average stock amounts in at least two preset time periods, for example, the above-mentioned at least two average stock amounts may include 100 pieces of average stock amounts in a time period of 1 month 20 days to 1 month 23 days, 90 pieces of average stock amounts in a time period of 1 month 23 days to 1 month 27 days, and 95 pieces of average stock amounts in a time period of 1 month 26 days to 1 month 31 days. The average sales amount may include at least two average sales amounts for the at least two predetermined time periods, for example, the at least two average sales amounts may include 5 pieces per day of average sales amount for a time period of 1 month 20 to 1 month 23, 4 pieces per day of average sales amount for a time period of 1 month 23 to 1 month 27, and 6 pieces per day of average sales amount for a time period of 1 month 26 to 1 month 31. Here, there may be an overlapping time interval between each of the at least two preset time periods, for example, an overlapping time interval of 1 month 23 day to 1 month 25 day between the first time period of 1 month 20 days to 1 month 25 days and the second time period of 1 month 23 days to 1 month 30 days.
The electronic device may determine an average inventory amount of the target item in a preset time period according to the following formula 1:
Figure BDA0001531148520000111
wherein n is the number of days in the preset time period, inventory (n) is the average inventory in the preset time period, niThe value of i is a natural number, inventory (n) on the ith day in a preset time periodi) Average inventory on day i.
The electronic device may determine an average sales amount of the target object in a preset time period according to the following formula 2:
Figure BDA0001531148520000112
wherein n is the number of days in the preset time period, sales (n) is the average sales volume in the preset time period, niThe value of i is a natural number, sales (n) on the ith day in a preset time periodi) Average sales on day i.
In this embodiment, the electronic device may select a smallest average stock quantity from the at least two average stock quantities, and may select a largest average sales quantity from the at least two average sales quantities. As an example, if the average stock quantity in the time period of 1 month 20 days to 1 month 23 days is 100 pieces and the average sales volume is 5 pieces per day, the average stock quantity in the time period of 1 month 23 days to 1 month 27 days is 90 pieces and the average sales volume is 4 pieces per day, and the average stock quantity in the time period of 1 month 26 days to 1 month 31 days is 95 pieces and the average sales volume is 6 pieces per day; the electronic device may pick the smallest average inventory of 90 pieces and the largest average sales of 6 pieces per day.
In step 403, the ratio of the minimum average inventory amount to the maximum average sales amount is determined as the number of days of stock turnover for the target item.
In this embodiment, the electronic device may determine a ratio of the minimum average stock quantity to the maximum average sales amount as the number of days of stock turnover of the target item. The electronic device may determine the number of days of stock turnover of the target item by the following equation 3:
Figure BDA0001531148520000121
wherein tid is the number of days of stock turnover (turnover in days), k is the number of preset time periods, and n is1、n2And nkRespectively a first preset time period, a second preset time period and a k preset time period, inventory (n)1)、inventory(n2) And inventory (n)k) Respectively corresponding to the average inventory amount of the first preset time period, the average inventory amount of the second preset time period and the average inventory amount of the k preset time period, sales (n)1)、sales(n2) And sales (n)k) The average sales amount corresponding to the first preset time period, the average sales amount corresponding to the second preset time period and the average sales amount corresponding to the k-th preset time period are respectively.
In this embodiment, the electronic device may input the at least two average stock amounts and the at least two average sales amounts into a stock turnaround days prediction model trained in advance to obtain the stock turnaround days of the target item. The stock-turnover-day prediction model may be a calculation formula that is preset and stored in the electronic device by a technician based on statistics of a large amount of data and is used for performing numerical calculation on one or more values of at least two average stock quantities and at least two average sales quantities to obtain a calculation result for representing the number of days of stock turnover, for example, the calculation formula may obtain a formula of a minimum value in the average stock quantities and a maximum value in the average sales quantities, and a ratio obtained may be used for representing the number of days of stock turnover.
And step 404, selecting the earliest warehousing time from at least one warehousing time, and determining the difference between the current time and the earliest warehousing time as the maximum warehousing duration of the target object.
In this embodiment, the electronic device may select an earliest warehousing time from the at least one warehousing time, and may determine a difference between a current time and the earliest warehousing time as a maximum inventory duration of the target item.
As an example, if the target object in the inventory corresponds to three procurement batches respectively, and the warehousing times corresponding to the three procurement batches are 1 month, 19 days and 12 points, 1 month, 26 days and 12 points, and 2 months and 4 days and 12 points, respectively, the electronic device may select the earliest warehousing time from the three warehousing times as 1 month, 19 days and 12 points, and may determine the difference 27 days between the current time 2 months, 15 days and 12 points and the earliest warehousing time 1 month, 19 days and 12 points as the maximum inventory duration of the target object.
In this embodiment, the electronic device may also input the at least one warehousing time into a pre-trained maximum inventory duration determination model to obtain the maximum inventory duration of the target object. The maximum inventory duration determination model may be a calculation formula that is preset by a technician based on statistics of a large amount of data and stored in the electronic device, and performs numerical calculation on one or more values in at least one warehousing time to obtain a calculation result for representing the maximum inventory duration, for example, the calculation formula may be a formula for obtaining a difference between a current time and an earliest warehousing time, and the obtained difference may be used to represent the maximum inventory duration.
Step 405 determines whether the number of inventory turnover days is greater than a preset threshold number of inventory turnover days.
In this embodiment, the electronic device may determine whether the number of days of stock turnover determined in step 403 is greater than a preset threshold number of days of stock turnover, and if so, may perform step 406. The electronic device may store a first correspondence table between a category and a threshold number of stock turnaround days, and the electronic device may first determine a category to which the target item belongs, and may acquire the threshold number of stock turnaround days corresponding to the category to which the target item belongs from the first correspondence table; thereafter, it may be determined whether the number of inventory turnaround days for the target item is greater than the threshold number of inventory turnaround days acquired.
Step 406, it is determined whether the maximum inventory duration is greater than a preset first inventory duration threshold.
In this embodiment, if it is determined in step 405 that the number of days of stock turnover is greater than the threshold number of days of stock turnover, the electronic device may further determine whether the maximum stock duration determined in step 404 is greater than a preset first stock duration threshold, and if so, may execute step 407.
Step 407, determine whether the item identifier exists in the preset item identifier set.
In this embodiment, if it is determined in step 406 that the maximum inventory time period is greater than the first inventory time period threshold, the electronic device may further determine whether the item identifier of the target item exists in a preset item identifier set, and if the item identifier does not exist in the item identifier set, step 408 may be executed.
In this embodiment, the item identifier in the item identifier set may include, but is not limited to, at least one of the following: the preset article identification of the new article and the preset article identification of the special article. The new product is generally a newly launched or newly marketed product, and the sales rate of the new product may be slow in the early stage of sales due to the lack of exposure and user public praise. A particular product may refer to a consumer product of a particular nature or brand identity, such as a particular brand and style of suited merchandise, that an important group of purchasers would like to spend a particular amount of effort to purchase.
And step 408, outputting the item identification of the target item.
In this embodiment, the operation of step 408 is substantially the same as the operation of step 206, and is not described herein again.
As can be seen from fig. 4, compared with the embodiment corresponding to fig. 2, the flow 400 of the method for outputting information in the present embodiment highlights the steps of determining the number of days of stock-turnover and the length of stock-time of the target item and identifying whether the item identifier exists in the preset item identifier set. Therefore, the scheme described in the embodiment can eliminate the special condition that the lost article is a preset new article and a preset special article, and can accurately determine the number of turnover days and the inventory duration of the target article, thereby further improving the accuracy of identifying the lost article.
With further reference to fig. 5, as an implementation of the methods shown in the above-mentioned figures, the present application provides an embodiment of an apparatus for outputting information, which corresponds to the method embodiment shown in fig. 2, and which is particularly applicable to various electronic devices.
As shown in fig. 5, the apparatus 500 for outputting information of the present embodiment includes: an acquisition unit 501, a first determination unit 502, a second determination unit 503, and a first output unit 504. The obtaining unit 501 is configured to obtain item information of a target item, where the item information includes an item identifier, an average inventory, an average sales amount, and at least one warehousing time corresponding to the target item in inventory; the first determination unit 502 is configured to determine the number of days of stock turnaround of the target item based on the average inventory and the average sales volume; the second determining unit 503 is configured to determine an inventory duration of the target item based on at least one warehousing time corresponding to the target item in the inventory; the first output unit 504 is configured to output the item identification of the target item in response to determining that the number of inventory turnover days is greater than a preset threshold number of inventory turnover days and the length of inventory is greater than a preset first threshold length of inventory.
In this embodiment, specific processing of the acquisition unit 501, the first determination unit 502, the second determination unit 503, and the first output unit 504 of the apparatus 500 for outputting information may refer to step 201, step 202, step 203, step 204, step 205, and step 206 in the corresponding embodiment of fig. 2.
In some optional implementations of the present embodiment, the first output unit 504 may include a determining module (not shown in the figure) and an output module (not shown in the figure). If the second determining unit 503 determines that the maximum inventory time period is greater than the first inventory time period threshold, the determining module may further determine whether the item identifier of the target item exists in a preset item identifier set, and if the item identifier does not exist in the item identifier set, the outputting module may output the item identifier of the target item, where the item identifiers in the item identifier set may include, but are not limited to, at least one of the following: the preset article identification of the new article and the preset article identification of the special article. The new product is generally a newly launched or newly marketed product, and the sales rate of the new product may be slow in the early stage of sales due to the lack of exposure and user public praise. A particular product may refer to a consumer product of a particular nature or brand identity, such as a particular brand and style of suited merchandise, that an important group of purchasers would like to spend a particular amount of effort to purchase. The output module can present the object identification of the target object in a text form, an audio form, an image form and the like; the item identifier of the target item can also be stored locally in the electronic device, or the item identifier of the target item can be stored in other electronic devices; and pushing the article identification of the target article to the user terminal so that the user terminal can present the article identification of the target article.
In some optional implementations of the embodiment, the average inventory amounts may include at least two average inventory amounts in at least two preset time periods, for example, the at least two average inventory amounts may include 100 average inventory amounts in a time period from 1 month 20 to 1 month 23, 90 average inventory amounts in a time period from 1 month 23 to 1 month 27, and 95 average inventory amounts in a time period from 1 month 26 to 1 month 31. The average sales amount may include at least two average sales amounts for the at least two predetermined time periods, for example, the at least two average sales amounts may include 5 pieces per day of average sales amount for a time period of 1 month 20 to 1 month 23, 4 pieces per day of average sales amount for a time period of 1 month 23 to 1 month 27, and 6 pieces per day of average sales amount for a time period of 1 month 26 to 1 month 31. Here, there may be an overlapping time interval between each of the at least two preset time periods, for example, an overlapping time interval of 1 month 23 day to 1 month 25 day between the first time period of 1 month 20 days to 1 month 25 days and the second time period of 1 month 23 days to 1 month 30 days.
In some optional implementations of the present embodiment, the first determining unit 502 may include a selecting module (not shown in the figure) and a determining module (not shown in the figure). The selecting module may select a smallest average inventory amount among the at least two average inventory amounts, and may select a largest average sales amount among the at least two average sales amounts. The determining module may determine a ratio of the minimum average inventory amount to the maximum average sales amount as the number of days of stock turnover of the target item. The determining module may determine the number of days of stock turnover for the target item by equation 4 as follows:
Figure BDA0001531148520000161
wherein tid is the number of days of stock turnover (turnover in days), k is the number of preset time periods, and n is1、n2And nkRespectively a first preset time period, a second preset time period and a k preset time period, inventory (n)1)、inventory(n2) And inventory (n)k) Respectively corresponding to the average inventory amount of the first preset time period, the average inventory amount of the second preset time period and the average inventory amount of the k preset time period, sales (n)1)、sales(n2) And sales (n)k) The average sales amount corresponding to the first preset time period, the average sales amount corresponding to the second preset time period and the average sales amount corresponding to the k-th preset time period are respectively.
In some optional implementation manners of this embodiment, the second determining unit 503 may select an earliest warehousing time from the at least one warehousing time, and may determine a difference between the current time and the earliest warehousing time as a maximum inventory duration of the target item.
In some optional implementations of the present embodiment, the apparatus 500 for outputting information may further include an adding unit (not shown in the figure). If it is determined that the inventory duration is greater than the first inventory duration threshold, the adding unit may add the item identifier of the target item to a set of to-be-processed item identifiers. The mark of the article to be processed can also be called a mark of a lost article, and the lost article refers to that the product on the market is not popular with consumers for some reasons, so that the selling speed is extremely slow.
In some optional implementations of the present embodiment, the apparatus 500 for outputting information may further include a statistics unit (not shown in the figure), a third determination unit (not shown in the figure), a fourth determination unit (not shown in the figure), and a second output unit (not shown in the figure). For each to-be-processed item identifier in the to-be-processed item identifier set, the counting unit may count, as the to-be-processed number of the to-be-processed item corresponding to the to-be-processed item identifier, the number of the to-be-processed items, of the to-be-processed items corresponding to the to-be-processed item identifier, of which the inventory duration corresponding to the to-be-processed item identifier is greater than a second inventory duration threshold value; then, the third determining unit may determine the sum of the to-be-processed quantities of the to-be-processed items as the total to-be-processed quantity; then, the fourth determining unit may obtain the total inventory amount of the items in the warehouse where the target item is located, and may determine a ratio of the total amount to be processed to the total inventory amount as an inventory proportion of the items to be processed; finally, the second output unit may output the total number to be processed and the stock ratio, that is, the total number of the lost articles and the stock ratio of the lost articles. The second output unit can present the total quantity to be processed and the stock occupation ratio in a text form, an audio form, an image form and the like; the total quantity to be processed and the stock ratio can be stored locally in the electronic equipment, or the total quantity to be processed and the stock ratio can be stored in other electronic equipment; the total quantity to be processed and the stock occupation ratio can be pushed to the user terminal so that the user terminal can display the total quantity to be processed and the stock occupation ratio. The user may make a purchasing decision by the total number of the lost items and the inventory proportion of the lost items, e.g., determining the next warehousing time of each lost item, planning a promotional campaign for each lost item.
Referring now to FIG. 6, shown is a block diagram of a computer system 600 suitable for use with the electronic device implementing an embodiment of the present invention. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the system 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Liquid Crystal Display (LCD) and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program performs the above-described functions defined in the method of the present application when executed by a Central Processing Unit (CPU) 601. It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block 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. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present invention may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a first determination unit, a second determination unit, and a first output unit. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves. For example, the acquisition unit may also be described as a "unit that acquires item information of a target item".
As another aspect, the present application also provides a computer-readable medium, which may be contained in the apparatus described in the above embodiments; or may be present separately and not assembled into the device. The computer readable medium carries one or more programs which, when executed by the apparatus, cause the apparatus to: acquiring article information of a target article, wherein the article information comprises an article identifier, an average inventory, an average sales volume and at least one warehousing time corresponding to the target article in the inventory; determining the number of days of stock turnover of the target item based on the average inventory and the average sales volume; determining the inventory duration of a target object based on at least one inventory time corresponding to the target object in the inventory; in response to determining that the number of inventory turnaround days is greater than a preset threshold number of inventory turnaround days and the length of inventory time is greater than a preset first threshold length of inventory time, outputting an item identification for the target item.
The foregoing description is only exemplary of the preferred embodiments of the invention and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention according to the present invention is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is possible without departing from the scope of the invention as defined by the appended claims. For example, the above features and (but not limited to) features having similar functions disclosed in the present invention are mutually replaced to form the technical solution.

Claims (12)

1. A method for outputting information, comprising:
acquiring article information of a target article, wherein the article information comprises an article identifier, an average inventory, an average sales volume and at least one warehousing time corresponding to the target article in the inventory;
determining a number of inventory turnaround days for the target item based on the average inventory and the average sales volume;
determining the inventory duration of the target object based on at least one inventory time corresponding to the target object in the inventory, including: acquiring the inventory quantity of the target object in the inventory corresponding to each inventory time; determining the difference between the current time and the warehousing time with the largest inventory quantity as the inventory duration of the target object;
in response to determining that the number of inventory turnover days is greater than a preset threshold number of inventory turnover days and the inventory duration is greater than a preset first inventory duration threshold, outputting an item identification for the target item;
the average inventory amounts comprise at least two average inventory amounts over at least two preset time periods, the average sales amounts comprise at least two average sales amounts over the at least two preset time periods; and
the determining the number of days to turnaround of inventory for the target item based on the average inventory amount and the average sales amount comprises:
selecting the smallest average inventory quantity from the at least two average inventory quantities, and selecting the largest average sales quantity from the at least two average sales quantities;
determining a ratio of the minimum average inventory amount to the maximum average sales amount as a number of inventory turnaround days for the target item.
2. The method of claim 1, wherein the outputting the item identification of the target item comprises:
determining whether the item identifier exists in a preset item identifier set;
in response to determining that the item identifier is not present in the set of item identifiers, outputting an item identifier for the target item.
3. The method according to claim 1 or 2, wherein the determining the inventory duration of the target item based on at least one warehousing time corresponding to the target item in the inventory comprises:
and selecting the earliest warehousing time from the at least one warehousing time, and determining the difference between the current time and the earliest warehousing time as the maximum warehousing duration of the target object.
4. The method of claim 1, wherein prior to said outputting the item identification of the target item, the method further comprises:
and adding the item identification of the target item into a set of item identifications to be processed.
5. The method of claim 4, wherein the method further comprises:
counting the number of the to-be-processed articles, of which the inventory time length corresponding to the to-be-processed article identifier is greater than a preset second inventory time length threshold, as the to-be-processed number of the to-be-processed articles corresponding to the to-be-processed article identifier for each to-be-processed article identifier in the to-be-processed article identifier set;
determining the sum of the to-be-processed quantity of each to-be-processed article as the total quantity to be processed;
acquiring the total inventory of the articles in the warehouse where the target article is located, and determining the ratio of the total quantity to be processed to the total inventory as the inventory proportion of the articles to be processed;
and outputting the total quantity to be processed and the inventory proportion.
6. An apparatus for outputting information, comprising:
the system comprises an acquisition unit, a storage unit and a display unit, wherein the acquisition unit is configured to acquire article information of a target article, and the article information comprises an article identifier, an average inventory, an average sales amount and at least one warehousing time corresponding to the target article in inventory;
a first determination unit configured to determine a number of inventory turnaround days for the target item based on the average inventory amount and the average sales amount;
a second determining unit, configured to determine an inventory duration of a target item based on at least one warehousing time corresponding to the target item in the inventory, including: acquiring the inventory quantity of the target object in the inventory corresponding to each inventory time; determining the difference between the current time and the warehousing time with the largest inventory quantity as the inventory duration of the target object;
a first output unit configured to output an item identifier of the target item in response to determining that the number of inventory turnover days is greater than a preset threshold number of inventory turnover days and the inventory duration is greater than a preset first threshold inventory duration;
the average inventory amounts comprise at least two average inventory amounts over at least two preset time periods, the average sales amounts comprise at least two average sales amounts over the at least two preset time periods; and
the first determination unit includes:
the selecting module is configured to select the minimum average inventory amount from the at least two average inventory amounts and select the maximum average sales amount from the at least two average sales amounts;
a determination module configured to determine a ratio of the minimum average inventory amount to the maximum average sales amount as an inventory turnaround number of days for the target item.
7. The apparatus of claim 6, wherein the first output unit comprises:
a determining module configured to determine whether the item identifier exists in a preset item identifier set;
an output module configured to output the item identifier of the target item in response to determining that the item identifier does not exist in the set of item identifiers.
8. The apparatus according to claim 6 or 7, wherein the second determining unit is further configured to:
and selecting the earliest warehousing time from the at least one warehousing time, and determining the difference between the current time and the earliest warehousing time as the maximum warehousing duration of the target object.
9. The apparatus of claim 6, wherein the apparatus further comprises:
and the adding unit is configured for adding the item identifier of the target item into the set of the item identifiers to be processed.
10. The apparatus of claim 9, wherein the apparatus further comprises:
the counting unit is configured to count, for each to-be-processed item identifier in the to-be-processed item identifier set, the number of to-be-processed items, of which the inventory time length corresponding to the to-be-processed item identifier is greater than a preset second inventory time length threshold, as the to-be-processed number of to-be-processed items corresponding to the to-be-processed item identifier;
the third determining unit is configured to determine the sum of the to-be-processed quantities of the to-be-processed articles as the total to-be-processed quantity;
the fourth determining unit is configured to acquire the total inventory amount of the items in the warehouse where the target item is located, and determine the ratio of the total amount to be processed to the total inventory amount as the inventory proportion of the items to be processed;
and the second output unit is configured to output the total quantity to be processed and the inventory proportion.
11. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5.
12. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the method according to any one of claims 1-5.
CN201711465863.6A 2017-12-28 2017-12-28 Method and apparatus for outputting information Active CN109978429B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711465863.6A CN109978429B (en) 2017-12-28 2017-12-28 Method and apparatus for outputting information

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711465863.6A CN109978429B (en) 2017-12-28 2017-12-28 Method and apparatus for outputting information

Publications (2)

Publication Number Publication Date
CN109978429A CN109978429A (en) 2019-07-05
CN109978429B true CN109978429B (en) 2021-09-03

Family

ID=67075352

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711465863.6A Active CN109978429B (en) 2017-12-28 2017-12-28 Method and apparatus for outputting information

Country Status (1)

Country Link
CN (1) CN109978429B (en)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112581048A (en) * 2019-09-30 2021-03-30 北京国双科技有限公司 Method, device, equipment and storage medium for reducing inventory cost
CN110930088B (en) * 2019-10-24 2023-01-13 华为终端有限公司 Data processing method and electronic equipment
CN111144985A (en) * 2019-12-24 2020-05-12 北京每日优鲜电子商务有限公司 Unit transfer value adjusting method, unit transfer value adjusting device, computer equipment and storage medium
CN113762858B (en) * 2020-11-24 2024-06-18 北京沃东天骏信息技术有限公司 Inventory management method and device
CN112200643B (en) * 2020-12-07 2021-03-23 北京每日优鲜电子商务有限公司 Article information pushing method and device, electronic equipment and computer readable medium
CN113128932B (en) * 2021-04-16 2024-04-16 北京京东振世信息技术有限公司 Warehouse stock processing method and device, storage medium and electronic equipment
CN113837706B (en) * 2021-11-25 2022-06-07 北京京东振世信息技术有限公司 Method, device, equipment and medium for controlling inventory of articles
CN116342029B (en) * 2023-03-06 2023-08-25 四川集鲜数智供应链科技有限公司 Food inventory circulation method and food inventory circulation device

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104599102B (en) * 2015-01-04 2018-06-26 临沂市义兰物流信息科技有限公司 A kind of Cold Chain Logistics storage supervisory systems and method
US10229385B2 (en) * 2015-08-11 2019-03-12 Toyota Motor Engineering & Manufacturing North America, Inc. Free location item and storage retrieval
CN106991550B (en) * 2016-01-21 2020-12-01 菜鸟智能物流控股有限公司 Commodity object replenishment information processing method and device
CN107392624A (en) * 2017-06-23 2017-11-24 深圳市盛路物联通讯技术有限公司 A kind of supply of commodities chain management method and platform of internet of things based on Internet of Things

Also Published As

Publication number Publication date
CN109978429A (en) 2019-07-05

Similar Documents

Publication Publication Date Title
CN109978429B (en) Method and apparatus for outputting information
Li et al. Online versus bricks-and-mortar retailing: a comparison of price, assortment and delivery time
Agi et al. Joint pricing and inventory decisions for perishable products with age-, stock-, and price-dependent demand rate
Muhammad et al. Buying groceries online: the influences of electronic service quality (eServQual) and situational factors
Bakker et al. Review of inventory systems with deterioration since 2001
CN110827114A (en) Commodity recommendation method and device
Jie et al. Australian food retail supply chain analysis
US20160027068A1 (en) Apparatus and method of identifying products and corresponding projects for potential marketing
CN109146533B (en) Information pushing method and device
CN109711917B (en) Information pushing method and device
CN112925973B (en) Data processing method and device
CN110874751A (en) Supermarket replenishment method and system
US20220414579A1 (en) Salesperson evaluation apparatus, salesperson evaluation method, and salesperson evaluation program
US20220108374A1 (en) Smart Basket for Online Shopping
Sukhia et al. Introducing Economic Order Quantity Model for inventory control in web based point of sale applications and comparative analysis of techniques for demand forecasting in inventory management
HR et al. Integrated Discounting Framework for Indian Brick-and-Mortar Retailers
CN110956478A (en) Method and device for determining goods input quantity
CN108352027A (en) Computer implemented method and system of the identification individual client in the product of different merchant purchasings
TAN et al. Can the desired service level be achieved when the demand and lost sales are unobserved?
CN110084541B (en) Method and apparatus for predicting supplier delivery duration
Ahmad et al. Role of technologies in revamping the supply chain management of kirana stores
KR101667552B1 (en) Pos terminal for distinguishing a subject of responding customer and server for providing survey for distinguishing a subject of responding customer
JP2019113963A (en) Information processing apparatus, information processing method, and information processing program
Pasandideh et al. A multi objective model for determining ordering strategy within different constraints
CN113706250A (en) Quality community group purchase method based on property community housekeeper

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant