CN114119099A - Method, device, terminal and storage medium for generating order turnover amount suggestion of online commodity - Google Patents

Method, device, terminal and storage medium for generating order turnover amount suggestion of online commodity Download PDF

Info

Publication number
CN114119099A
CN114119099A CN202111450371.6A CN202111450371A CN114119099A CN 114119099 A CN114119099 A CN 114119099A CN 202111450371 A CN202111450371 A CN 202111450371A CN 114119099 A CN114119099 A CN 114119099A
Authority
CN
China
Prior art keywords
commodity
flow
rate
online
conversion rate
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.)
Pending
Application number
CN202111450371.6A
Other languages
Chinese (zh)
Inventor
马潇逸
李艺
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.)
Yunchuang Design Shenzhen Group Co ltd
Original Assignee
Yunchuang Design Shenzhen Group 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 Yunchuang Design Shenzhen Group Co ltd filed Critical Yunchuang Design Shenzhen Group Co ltd
Priority to CN202111450371.6A priority Critical patent/CN114119099A/en
Publication of CN114119099A publication Critical patent/CN114119099A/en
Pending legal-status Critical Current

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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • 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
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0605Supply or demand aggregation
    • 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
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0623Item investigation
    • 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
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0633Lists, e.g. purchase orders, compilation or processing

Landscapes

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

Abstract

The invention discloses a method, a device, a terminal and a storage medium for generating a list turnover suggestion of an online commodity, wherein the method comprises the following steps: the method comprises the steps of obtaining the flow and the conversion rate of a commodity in online preset days of an online store, obtaining the total flow and the total conversion rate of the commodity in the whole life cycle according to the flow and the conversion rate of the commodity in online preset days of the online store, wherein the life cycle is that the flow of the commodity after the commodity is listed meets a preset flow threshold condition or the time of the commodity after the commodity is listed meets a preset time threshold condition; calculating the flow rate of the commodity according to the total flow and the total conversion rate; the goods return rate of the goods is obtained, and sales volume data of the goods are generated according to the goods return rate and the flow rate; and generating a bill turnover amount suggestion according to the sales amount data. According to the method, the total sales data of the commodities are calculated by acquiring the flow and the conversion rate within the preset days after the commodities are online, so that the order turnover amount suggestion can be generated within the preset days after the commodities are online, the commodity turnover efficiency is improved, the order turnover amount does not need to be determined manually, and a large amount of labor cost is saved.

Description

Method, device, terminal and storage medium for generating order turnover amount suggestion of online commodity
Technical Field
The invention relates to the technical field of data processing, in particular to a method, a device, a terminal and a storage medium for generating a bill turnover amount suggestion of an online commodity.
Background
After the existing goods are on the market, the order is turned over, wherein the order is re-ordered for the last ordered goods, and the product, the design and the type are the same as the goods ordered last time.
In the prior art, the order turnover situation is determined by man-made judgment, and the sales situation of each shop is counted and then the sales volume is compared with the stock volume so as to determine the order turnover volume. The existing order turnover quantity is determined manually, a large amount of manpower and material resources are consumed, and the determination result is that different human operations have large errors.
Accordingly, the prior art is yet to be improved and developed.
Disclosure of Invention
In view of the defects of the prior art, the invention provides a method, a device, a terminal and a storage medium for generating a list turnover amount suggestion of an online commodity, and aims to solve the problems that the list turnover amount is determined manually in the prior art, a large amount of manpower and material resources are consumed, and the determination result is that different human operations have large errors.
The technical scheme of the invention is as follows:
the first embodiment of the invention provides a bill turnover amount suggestion generation method for online commodities, which comprises the following steps:
the method comprises the steps of obtaining the flow and the conversion rate of a commodity in online preset days of an online store, and obtaining the total flow and the total conversion rate of the commodity in the whole life cycle according to the flow and the conversion rate of the commodity in online preset days of the online store, wherein the life cycle is that the flow of the commodity after being listed meets a preset flow threshold condition or the time of the commodity when being listed meets a preset time threshold condition;
calculating the flow rate of the commodity according to the total flow and the total conversion rate;
the goods return rate of the goods is obtained, and sales volume data of the goods are generated according to the goods return rate and the flow rate;
and generating a bill turnover amount suggestion according to the sales amount data.
Further, before acquiring the flow rate and the conversion rate of the commodity on line for a predetermined number of days on line in the online store, and acquiring the total flow rate and the total conversion rate of the commodity in the whole life cycle according to the flow rate and the conversion rate of the commodity on line for the predetermined number of days on line in the online store, the method comprises the following steps:
acquiring the number of marketing days and flow data of the existing commodity in advance;
and obtaining a flow prediction function according to the number of marketing days and the flow data of the existing commodity.
Further, the acquiring the flow rate and the conversion rate of the commodity on line for a predetermined number of days on line in the online store, and the acquiring the total flow rate and the total conversion rate of the commodity in the whole life cycle according to the flow rate and the conversion rate of the commodity on line for the predetermined number of days on line in the online store comprises:
acquiring the flow of the commodity in online preset days of the online shop, and acquiring the total flow of the commodity in the whole life cycle according to the flow and a flow prediction function; the network sales platform is a platform where an online shop is located;
the conversion rate of the commodities in the online preset days of the online shop and the first shop conversion rate of the online shop in the preset days of the online shop of the commodities are obtained, the second shop conversion rate of the online shop in the same period of the last year is obtained, and the total conversion rate of the commodities in the whole life cycle is obtained according to the conversion rate, the first shop conversion rate and the second shop conversion rate.
Further, the acquiring the flow rate of the commodity on the online store within the preset number of days, and acquiring the total flow rate of the commodity in the whole life cycle according to the flow rate and the flow rate prediction function includes:
acquiring the flow of commodities in online predetermined days of an online store;
obtaining the daily basic flow of the commodity in the whole life cycle according to the flow and the predicted flow function,
acquiring a flow coefficient of the network sales platform, and generating daily flow of the commodity in the whole life cycle according to the daily basic flow and the flow coefficient;
and summing all daily flow rates in the whole life cycle to obtain the total flow rate of the commodity in the whole life cycle.
Further, after calculating the flow rate of the commodity according to the total flow rate and the total conversion rate, the method further includes:
and outputting the label information of the commodity according to the flow rate of the commodity in the life cycle.
Further, before outputting the label information of the commodity according to the flow rate in the life cycle of the commodity, the method further includes:
the method comprises the steps of setting parameters corresponding to label information of commodities in advance, wherein the labels of the commodities comprise a flow label, a flow conversion label, a smooth and sluggish label and a continuous sales capability label.
Further, the setting of the parameters corresponding to the tag information of the commodity in advance includes:
presetting the flow rate ratio of the commodity in the life cycle and the corresponding relation between the flow rate ratio and the flow rate label;
presetting a corresponding relation between the average value of the commodity conversion rate and the conversion label;
presetting a corresponding relation between the commodity production and sale rate and the inventory and the smooth and flat stagnation label;
the corresponding relation between the flow ratio, the conversion rate, the return rate and the commodity multiplying power of the commodity and the continuous sales capability label is preset.
Another embodiment of the present invention provides an apparatus for generating a bill turnover amount advice for an online commodity, the apparatus including:
the system comprises a total flow and total conversion rate acquisition module, a flow and total conversion rate acquisition module and a conversion rate acquisition module, wherein the total flow and total conversion rate acquisition module is used for acquiring the flow and the conversion rate of a commodity in online preset days of an online store, and acquiring the total flow and the total conversion rate of the commodity in the whole life cycle according to the flow and the conversion rate of the commodity in online preset days of the online store, and the life cycle is that the flow of the commodity after being listed meets a preset flow threshold condition or the time for the commodity to be listed meets a preset time threshold condition;
the flow rate calculation module is used for calculating the flow rate of the commodity according to the total flow rate and the total conversion rate;
the sales data acquisition module is used for acquiring the goods return rate of the goods and generating sales data of the goods according to the goods return rate and the flow rate;
and the bill turnover amount generation module is used for generating bill turnover amount suggestions according to the sales amount data.
Another embodiment of the present invention provides a terminal comprising at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the above-described method of generating a flipper amount suggestion for an online good.
Yet another embodiment of the present invention provides a non-transitory computer-readable storage medium storing computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform the above-described method for generating a flipper amount suggestion for an online good.
Has the advantages that: according to the embodiment of the invention, the total sales data of the commodities are calculated by acquiring the flow and the conversion rate of the commodities within the preset days after the commodities are online, so that the bill turnover amount suggestion can be generated within the preset days after the commodities are online, the commodity turnover efficiency is improved, the bill turnover amount does not need to be determined manually, and a large amount of labor cost is saved.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a flowchart illustrating a method for generating a bill turn amount suggestion for an online product according to a preferred embodiment of the present invention;
fig. 2 is a schematic diagram of a smooth stagnation label and corresponding commodity production, marketing and inventory according to a specific application embodiment of the proposed generation method for the bill turn amount of the online commodity;
FIG. 3 is a schematic diagram of a persistent sales capability tag according to an embodiment of the present invention;
FIG. 4 is a functional block diagram of an apparatus for generating a bill flipping amount suggestion of an online product according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a hardware structure of a terminal according to a preferred embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is described in further detail below. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Embodiments of the present invention will be described below with reference to the accompanying drawings.
An embodiment of the present invention provides a list turnover amount suggestion generation method for online commodities, and please refer to fig. 1, where fig. 1 is a flowchart of a preferred embodiment of a list turnover amount suggestion generation method for online commodities according to the present invention. As shown in fig. 1, it includes the steps of:
step S100, obtaining the flow and the conversion rate of a commodity on line within preset days in an online store, and obtaining the total flow and the total conversion rate of the commodity in the whole life cycle according to the flow and the conversion rate of the commodity on line within the preset days in the online store, wherein the life cycle is that the flow of the commodity after being listed meets a preset flow threshold condition or the time of the commodity after being listed meets a preset time threshold condition;
step S200, calculating the flow rate of the commodity according to the total flow and the total conversion rate;
s300, obtaining the goods return rate of the goods, and generating sales volume data of the goods according to the goods return rate and the flow rate;
and S400, generating a bill turnover amount suggestion according to the sales data.
In specific implementation, the method and the device are mainly used for determining the bill turnover quantity of the commodities sold only on line, and solve the problems that in the prior art, a bill turnover quantity determination method is general, is not systematic, and needs to be determined manually.
The embodiment of the invention acquires the flow rate and the conversion rate of the commodity on line in the online shop within a preset number of days, wherein the preset number of days is 15 days. And acquiring the total flow and the total conversion rate of the commodity in the whole life cycle according to the flow and the conversion rate of the commodity on the online for 15 days, wherein the life cycle of the commodity means that the flow of the commodity on the market meets a preset flow threshold value or the time of the commodity on the market meets a preset time threshold value condition, and the preferred flow of the commodity on the market meets the preset flow threshold value, namely the flow of the commodity on a certain day after the commodity is on the line is 0, and judging that the life cycle of the commodity is finished. Or the time for the commodity to appear on the market meets 10 months, the life cycle of the commodity is judged to be finished.
Calculating the flow rate of the commodities according to the obtained total flow and the total conversion rate, obtaining the return rate of the commodities, and generating sales volume data of the commodities according to the return rate and the flow rate; the flow of a certain product is equal to the total flow multiplied by the total conversion, i.e. the number of paid pieces for the product. Calculating the flow rate (1-return rate) to obtain the sales volume,
and generating a bill turnover amount suggestion according to the sales amount data. The turnover is specifically calculated by adding 50 to the sales and subtracting the order that has been placed for production to arrive at the proposed turnover.
In one embodiment, the obtaining the flow rate and the conversion rate of the commodity on-line for a predetermined number of days on-line in the on-line store, and the obtaining the total flow rate and the total conversion rate of the commodity in the whole life cycle according to the flow rate and the conversion rate of the commodity on-line for the predetermined number of days on-line in the on-line store comprises:
acquiring the number of marketing days and flow data of the existing commodity in advance;
and obtaining a flow prediction function according to the number of marketing days and the flow data of the existing commodity.
In specific implementation, the number of days on market and the flow data of the existing commodity are obtained in advance, and the number of days on market and the flow data of the existing commodity are trained, so that a flow prediction function corresponding to the number of days on market is simulated and obtained. The flow prediction function is specifically as follows:
y ═ aln (x) + b (formula 1)
Where x is the number of days on the market (first day on the market, x is 1, second day on the market, x is 2, and so on … …), y represents the flow on the first day on the market, a is a coefficient, and b is a constant.
In one embodiment, obtaining the flow rate and the conversion rate of the commodity on the online store for a predetermined number of days, and obtaining the total flow rate and the total conversion rate of the commodity in the whole life cycle according to the flow rate and the conversion rate of the commodity on the online store for the predetermined number of days comprises:
acquiring the flow of the commodity in online preset days of the online shop, and acquiring the total flow of the commodity in the whole life cycle according to the flow and a flow prediction function; the network sales platform is a platform where an online shop is located;
the conversion rate of the commodities in the online preset days of the online shop and the first shop conversion rate of the online shop in the preset days of the online shop of the commodities are obtained, the second shop conversion rate of the online shop in the same period of the last year is obtained, and the total conversion rate of the commodities in the whole life cycle is obtained according to the conversion rate, the first shop conversion rate and the second shop conversion rate. The embodiment of the invention is beneficial to rapidly bill over and accurately evaluating commodities for E-commerce money and guiding the business to carry out style actions.
In specific implementation, the sales in the commodity life cycle are predicted according to the flow and the conversion rate of 15 days (data of the flow and the conversion rate are obtained from a background system of the Tianmao);
specifically, the daily flow within 15 days after the commodity is on line is obtained, and the total flow of the commodity in the whole life cycle is obtained according to the daily flow and a flow function;
the conversion rate of a commodity in online predetermined days of an online store and the first store conversion rate of the online store in online predetermined days of the commodity are acquired, the second store conversion rate of the online store in the same period in the last year is acquired, and the conversion rate in the same period in the last year of the store is calculated as the (conversion rate of the first 15 days of a certain commodity) starting party/(the conversion rate of the store corresponding to the whole 15 days) starting party of the same period in the last year from the conversion rates, the first store conversion rate and the total conversion rate of the second store, so that the total conversion rate of the commodity is acquired.
In one embodiment, obtaining the flow rate of the commodity on the online store within a predetermined number of days, and obtaining the total flow rate of the commodity in the whole life cycle according to the flow rate and the flow rate prediction function includes:
acquiring the flow of commodities in online predetermined days of an online store;
obtaining the daily basic flow of the commodity in the whole life cycle according to the flow and the predicted flow function,
acquiring a flow coefficient of the network sales platform, and generating daily flow of the commodity in the whole life cycle according to the daily basic flow and the flow coefficient;
and summing all daily flow rates in the whole life cycle to obtain the total flow rate of the commodity in the whole life cycle.
In the specific implementation, it is known that: the flow rate of the commodity 15 days before the commodity is measured by using C1, C2 … … and C15 to obtain the coordinates (1, C1), (2, C2), (3, C3) … … (15, C15)
From the above coordinates, a, b of the function as described in equation 1 can be calculated. And further, the basic flow rate of each day from the 16 th day of the commodity can be calculated. Taking a skyhook platform as an example, where the sales platform is a treasure, the basic flow rate is the skyhook flow rate rhythm coefficient (the skyhook flow rate rhythm coefficient: 38 is the activity period coefficient 2, 618, double 11, double 12 is 3, and the other time is 1). And when the flow drops to 0 or the current month is 10 months, indicating that the life cycle is finished.
In one embodiment, before outputting the label information of the commodity according to the flow rate in the life cycle of the commodity, the method further comprises:
the method comprises the steps of setting parameters corresponding to label information of commodities in advance, wherein the labels of the commodities comprise a flow label, a flow conversion label, a smooth and sluggish label and a continuous sales capability label.
In specific implementation, in order to output a corresponding tag, a condition for satisfying tag information of a product needs to be set. Wherein the label information includes, but is not limited to, a forecast output traffic label, a conversion label, a smooth and sluggish label, and a continuous sales capability label.
In one embodiment, the setting of the parameters corresponding to the label information of the goods in advance includes:
presetting the flow rate ratio of the commodity in the life cycle and the corresponding relation between the flow rate ratio and the flow rate label;
presetting a corresponding relation between the average value of the commodity conversion rate and the conversion label;
presetting a corresponding relation between the commodity production and sale rate and the inventory and the smooth and flat stagnation label;
the corresponding relation between the flow ratio, the conversion rate, the return rate and the commodity multiplying power of the commodity and the continuous sales capability label is preset.
In specific implementation, the traffic label: taking a flow rate ratio (flow rate of a certain commodity/overall flow rate of a shop) as an index, wherein the flow rate ratio of the commodity in a life cycle (the commodity is listed to indicate that the life cycle is started, the quantity falls to 0, or the month where the commodity is listed to indicate that the life cycle is ended and the start and stop time is the life cycle) is not less than 4.5, the flow rate ratio is high, the flow rate ratio is low when the flow rate ratio is less than 2, and the other flows are normal flows;
and (3) converting a label: taking the average conversion rate (the average conversion rate corresponding to a certain commodity is the conversion rate of the whole shop corresponding to the commodity life cycle date) as a line, the average conversion rate of a certain commodity is not lower than the average value in the life cycle, the average conversion rate is high-speed rotation, the average conversion rate is low-speed rotation,
as shown in fig. 2, smooth stagnated: the turnover condition of the commodity is measured. The smooth and flat sluggish are divided by two fingers of commodity production and sales rate (sales/warehousing) and stock.
The calculation of the continuous sales capacity is as follows:
the flow rate of a certain commodity is calculated by the ratio (conversion rate of a certain commodity-conversion rate of a store commodity + average conversion rate of a store in the past year) × 10000 (1-return rate (return rate ═ 1-actual sales volume/flow volume of a certain commodity)) × 0.8+ commodity rate of the certain commodity (commodity rate ═ hang tag price/cost)/commodity rate standard of company × 80.2, and D is obtained. The continuous sales capacity is then divided according to the criteria shown in fig. 3.
In one embodiment, after calculating the flow rate of the commodity according to the total flow rate and the total conversion rate, the method further includes:
and outputting the label information of the commodity according to the flow rate of the commodity in the life cycle.
In specific implementation, the label information of the commodity is output according to the flow rate in the life cycle. As can be seen from the tag information of the above embodiment, a final complete tag may be: high flow high turn [ Chang ] 6.
According to the output label, a targeted activity can be performed for the mode with low flow or low conversion, for example, for the mode with low flow, the main graph can be adjusted and the title can be optimized to increase more flow.
The embodiment of the invention aims at commodities which are only sold on line, and combines the special activity rhythm of a sales platform (which is expressed by using a sales platform flow rhythm coefficient index) and a flow curve (which is the number of the weight removal people who visit a shop page or a commodity detail page in a statistical period, and one person visits for many times in a statistical time range and is only marked as one, all terminal visitor numbers are the number of the visitors at the PC end and the number of the visitors at the wireless end for adding and removing the weight) and conversion, so that the proposal of the bill amount within a predetermined number of days after the commodities are on line is realized, and meanwhile, the corresponding evaluation of the digestion speed, sales force, flow height and conversion height of the style is given, so as to make corresponding style actions such as bill turning or activity.
The embodiment of the invention can systematically and multi-dimensionally output the labels and suggest the turnover amount for preset days on the market, and the labels can not only guide the current season style action, but also have the guiding function on next season ordering.
It should be noted that, a certain order does not necessarily exist between the above steps, and those skilled in the art can understand, according to the description of the embodiments of the present invention, that in different embodiments, the above steps may have different execution orders, that is, may be executed in parallel, may also be executed interchangeably, and the like.
Another embodiment of the present invention provides an apparatus for generating a bill-turning amount advice for online merchandise, as shown in fig. 4, the apparatus 1 includes:
the total flow and total conversion rate acquisition module 11 is configured to acquire flow and conversion rate of a commodity on the online store within preset days, and acquire total flow and total conversion rate of the commodity in a whole life cycle according to the flow and conversion rate of the commodity on the online store within the preset days, where the life cycle is that the flow of the commodity after being listed on the market meets a preset flow threshold condition or the time for the commodity to be listed on the market meets a preset time threshold condition;
a flow rate calculation module 12, configured to calculate a flow rate of the commodity according to the total flow rate and the total conversion rate;
the sales data acquisition module 13 is configured to acquire a return rate of the commodity, and generate sales data of the commodity according to the return rate and the flow rate;
and the order quantity generation module 14 is used for generating order quantity suggestions according to the sales quantity data.
The specific implementation is shown in the method embodiment, and is not described herein again.
Another embodiment of the present invention provides a terminal, as shown in fig. 5, the terminal 10 includes:
one or more processors 110 and a memory 120, where one processor 110 is illustrated in fig. 5, the processor 110 and the memory 120 may be connected by a bus or other means, and where fig. 5 illustrates a connection by a bus.
The processor 110 is configured to implement various control logic for the terminal 10, which may be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a single chip, an ARM (Acorn RISC machine) or other programmable logic device, discrete gate or transistor logic, discrete hardware controls, or any combination of these components. Also, the processor 110 may be any conventional processor, microprocessor, or state machine. Processor 110 may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
The memory 120 is a non-volatile computer-readable storage medium, and can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions corresponding to the method for generating the invoice amount suggestion for the online merchandise in the embodiment of the present invention. The processor 110 executes various functional applications and data processing of the device 10, that is, implements the above-described method embodiment of the turnover suggestion generation method for the online merchandise by executing the nonvolatile software programs, instructions, and units stored in the memory 120.
The memory 120 may include a storage program area and a storage data area, wherein the storage program area may store an application program required for operating the device, at least one function; the storage data area may store data created according to the use of the device 10, and the like. Further, the memory 120 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 120 optionally includes memory located remotely from processor 110, which may be connected to device 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more units are stored in the memory 120, and when executed by the one or more processors 110, perform the method for generating a bill quantity advice for an online good in any of the above-described method embodiments, for example, performing the above-described method steps S100 to S400 in fig. 1.
Embodiments of the present invention provide a non-transitory computer-readable storage medium storing computer-executable instructions for execution by one or more processors, e.g., to perform method steps S100-S400 of fig. 1 described above.
By way of example, non-volatile storage media can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), electrically erasable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM is available in many forms such as Synchronous RAM (SRAM), dynamic RAM, (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchl inkDRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The disclosed memory controls or memories of the operating environments described herein are intended to comprise one or more of these and/or any other suitable types of memory.
Another embodiment of the present invention provides a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions that, when executed by a processor, cause the processor to perform the method of generating a flipper amount suggestion for an online good of the above-described method embodiment. For example, the method steps S100 to S400 in fig. 1 described above are performed.
The above-described embodiments are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the embodiment.
Through the above description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a general hardware platform, and may also be implemented by hardware. Based on such understanding, the above technical solutions essentially or contributing to the related art can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
Conditional language such as "can," "might," or "may" is generally intended to convey that a particular embodiment can include (yet other embodiments do not include) particular features, elements, and/or operations, among others, unless specifically stated otherwise or otherwise understood within the context as used. Thus, such conditional language is also generally intended to imply that features, elements, and/or operations are in any way required for one or more embodiments or that one or more embodiments must include logic for deciding, with or without input or prompting, whether such features, elements, and/or operations are included or are to be performed in any particular embodiment.
What has been described herein in the specification and drawings includes examples of a bill quantity advice generation method and apparatus capable of providing an online good. It will, of course, not be possible to describe every conceivable combination of components and/or methodologies for purposes of describing the various features of the disclosure, but it can be appreciated that many further combinations and permutations of the disclosed features are possible. It is therefore evident that various modifications can be made to the disclosure without departing from the scope or spirit thereof. In addition, or in the alternative, other embodiments of the disclosure may be apparent from consideration of the specification and drawings and from practice of the disclosure as presented herein. It is intended that the examples set forth in this specification and the drawings be considered in all respects as illustrative and not restrictive. Although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.

Claims (10)

1. A method for generating a bill turn amount advice for an online commodity, the method comprising:
the method comprises the steps of obtaining the flow and the conversion rate of a commodity in online preset days of an online store, and obtaining the total flow and the total conversion rate of the commodity in the whole life cycle according to the flow and the conversion rate of the commodity in online preset days of the online store, wherein the life cycle is that the flow of the commodity after being listed meets a preset flow threshold condition or the time of the commodity when being listed meets a preset time threshold condition;
calculating the flow rate of the commodity according to the total flow and the total conversion rate;
the goods return rate of the goods is obtained, and sales volume data of the goods are generated according to the goods return rate and the flow rate;
and generating a bill turnover amount suggestion according to the sales amount data.
2. The method of claim 1, wherein the step of obtaining the flow rate and the conversion rate of the commodity on-line for a predetermined number of days on-line in the on-line shop, and the step of obtaining the total flow rate and the total conversion rate of the commodity in the whole life cycle according to the flow rate and the conversion rate of the commodity on-line for the predetermined number of days on-line in the on-line shop comprises the following steps:
acquiring the number of marketing days and flow data of the existing commodity in advance;
and obtaining a flow prediction function according to the number of marketing days and the flow data of the existing commodity.
3. The method of claim 2, wherein obtaining the flow rate and the conversion rate of the commodity on-line for a predetermined number of days on-line in the on-line shop, and obtaining the total flow rate and the total conversion rate of the commodity in the whole life cycle according to the flow rate and the conversion rate of the commodity on-line for the predetermined number of days on-line in the on-line shop comprise:
acquiring the flow of the commodity in online preset days of the online shop, and acquiring the total flow of the commodity in the whole life cycle according to the flow and a flow prediction function; the network sales platform is a platform where an online shop is located;
the conversion rate of the commodities in the online preset days of the online shop and the first shop conversion rate of the online shop in the preset days of the online shop of the commodities are obtained, the second shop conversion rate of the online shop in the same period of the last year is obtained, and the total conversion rate of the commodities in the whole life cycle is obtained according to the conversion rate, the first shop conversion rate and the second shop conversion rate.
4. The method of claim 3, wherein the obtaining the flow rate of the commodity on line for a predetermined number of days on line in the online shop, and obtaining the total flow rate of the commodity in the whole life cycle according to the flow rate and the flow rate prediction function comprises:
acquiring the flow of commodities in online predetermined days of an online store;
obtaining the daily basic flow of the commodity in the whole life cycle according to the flow and the predicted flow function,
acquiring a flow coefficient of the network sales platform, and generating daily flow of the commodity in the whole life cycle according to the daily basic flow and the flow coefficient;
and summing all daily flow rates in the whole life cycle to obtain the total flow rate of the commodity in the whole life cycle.
5. The method of claim 4, wherein calculating the flow rate of the commodity according to the total flow rate and the total conversion rate further comprises:
and outputting the label information of the commodity according to the flow rate of the commodity in the life cycle.
6. The method of claim 5, before outputting tag information of the commodity according to the flow rate in the life cycle of the commodity, further comprising:
the method comprises the steps of setting parameters corresponding to label information of commodities in advance, wherein the labels of the commodities comprise a flow label, a flow conversion label, a smooth and sluggish label and a continuous sales capability label.
7. The method according to claim 6, wherein the setting of the parameter corresponding to the label information of the commodity in advance comprises:
presetting the flow rate ratio of the commodity in the life cycle and the corresponding relation between the flow rate ratio and the flow rate label;
presetting a corresponding relation between the average value of the commodity conversion rate and the conversion label;
presetting a corresponding relation between the commodity production and sale rate and the inventory and the smooth and flat stagnation label;
the corresponding relation between the flow ratio, the conversion rate, the return rate and the commodity multiplying power of the commodity and the continuous sales capability label is preset.
8. An apparatus for generating a bill turnover amount advice for an online commodity, the apparatus comprising:
the system comprises a total flow and total conversion rate acquisition module, a flow and total conversion rate acquisition module and a conversion rate acquisition module, wherein the total flow and total conversion rate acquisition module is used for acquiring the flow and the conversion rate of a commodity in online preset days of an online store, and acquiring the total flow and the total conversion rate of the commodity in the whole life cycle according to the flow and the conversion rate of the commodity in online preset days of the online store, and the life cycle is that the flow of the commodity after being listed meets a preset flow threshold condition or the time for the commodity to be listed meets a preset time threshold condition;
the flow rate calculation module is used for calculating the flow rate of the commodity according to the total flow rate and the total conversion rate;
the sales data acquisition module is used for acquiring the goods return rate of the goods and generating sales data of the goods according to the goods return rate and the flow rate;
and the bill turnover amount generation module is used for generating bill turnover amount suggestions according to the sales amount data.
9. A terminal, characterized in that the terminal comprises at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of flip amount suggestion generation for an online good of any of claims 1-7.
10. A non-transitory computer-readable storage medium storing computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform the method of flip amount suggestion generation for an online good of any of claims 1-7.
CN202111450371.6A 2021-11-30 2021-11-30 Method, device, terminal and storage medium for generating order turnover amount suggestion of online commodity Pending CN114119099A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111450371.6A CN114119099A (en) 2021-11-30 2021-11-30 Method, device, terminal and storage medium for generating order turnover amount suggestion of online commodity

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111450371.6A CN114119099A (en) 2021-11-30 2021-11-30 Method, device, terminal and storage medium for generating order turnover amount suggestion of online commodity

Publications (1)

Publication Number Publication Date
CN114119099A true CN114119099A (en) 2022-03-01

Family

ID=80368799

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111450371.6A Pending CN114119099A (en) 2021-11-30 2021-11-30 Method, device, terminal and storage medium for generating order turnover amount suggestion of online commodity

Country Status (1)

Country Link
CN (1) CN114119099A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115796978A (en) * 2022-11-11 2023-03-14 武汉小帆船电子商务有限公司 Full-period monitoring method for money-exploding commodities based on e-commerce platform

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009251779A (en) * 2008-04-03 2009-10-29 Nec Corp Sales estimation system, method and program
CN103425664A (en) * 2012-05-16 2013-12-04 阿里巴巴集团控股有限公司 Method and equipment for searching and displaying entity data units
CN106408397A (en) * 2016-10-10 2017-02-15 合肥红珊瑚软件服务有限公司 Electronic commerce system
US20170228744A1 (en) * 2016-02-09 2017-08-10 Builddirect.Com Technologies Inc. E-commerce system with demand forecasting tool
JP2019032827A (en) * 2018-07-06 2019-02-28 ヤフー株式会社 Generation device, method for generation, and generation program
CN110163682A (en) * 2019-05-24 2019-08-23 成都一创友邦科技有限公司 A kind of product sales volume analysis of causes method based on e-commerce platform
CN113065899A (en) * 2021-04-12 2021-07-02 上海明略人工智能(集团)有限公司 User life cycle value calculation method, system, device and storage medium
US20210312388A1 (en) * 2020-04-03 2021-10-07 International Business Machines Corporation Early lifecycle product management

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009251779A (en) * 2008-04-03 2009-10-29 Nec Corp Sales estimation system, method and program
CN103425664A (en) * 2012-05-16 2013-12-04 阿里巴巴集团控股有限公司 Method and equipment for searching and displaying entity data units
US20170228744A1 (en) * 2016-02-09 2017-08-10 Builddirect.Com Technologies Inc. E-commerce system with demand forecasting tool
CN106408397A (en) * 2016-10-10 2017-02-15 合肥红珊瑚软件服务有限公司 Electronic commerce system
JP2019032827A (en) * 2018-07-06 2019-02-28 ヤフー株式会社 Generation device, method for generation, and generation program
CN110163682A (en) * 2019-05-24 2019-08-23 成都一创友邦科技有限公司 A kind of product sales volume analysis of causes method based on e-commerce platform
US20210312388A1 (en) * 2020-04-03 2021-10-07 International Business Machines Corporation Early lifecycle product management
CN113065899A (en) * 2021-04-12 2021-07-02 上海明略人工智能(集团)有限公司 User life cycle value calculation method, system, device and storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115796978A (en) * 2022-11-11 2023-03-14 武汉小帆船电子商务有限公司 Full-period monitoring method for money-exploding commodities based on e-commerce platform

Similar Documents

Publication Publication Date Title
Hassani et al. Forecasting the price of gold
US8635147B2 (en) System, method and program for agency cost estimation
Huck Pairs trading: does volatility timing matter?
CN111127112A (en) Advertisement putting method, device, equipment and storage medium
CN110232150B (en) User data analysis method and device, readable storage medium and terminal equipment
CN112613997A (en) Method and apparatus for forecasting combined investment of money fund
CN114119099A (en) Method, device, terminal and storage medium for generating order turnover amount suggestion of online commodity
Fernandez-Perez et al. Behavioural heterogeneity in wine investments
CN113344689A (en) Financial data processing method, device and equipment
CN110782338B (en) Loan transaction risk prediction method and device, computer equipment and storage medium
AU2008262367A1 (en) System, method and program for agency cost estimation
Wynn et al. Valuing GM technologies using real options: the case of drought tolerant wheat in Australia
CN112581153B (en) Resource allocation method, resource allocation device, storage medium, and electronic apparatus
CN110580634A (en) service recommendation method, device and storage medium based on Internet
JP6953038B1 (en) Inventory management support device and inventory management support program
CN114219651A (en) Bulk commodity asset transaction method, system and terminal
CN114219523A (en) Marketing suggestion generation method, marketing suggestion generation device, terminal and storage medium
CN112990968A (en) Lubrication dividing system and method
CN109360032B (en) Customer evaluation method, apparatus, device and storage medium
CN112200389A (en) Data prediction method, device, equipment and storage medium
Chang et al. A market-based martingale valuation approach to optimum inventory control in a doubly stochastic jump-diffusion economy
KR102204590B1 (en) Method and server for investing commodities based on influence of sns influencer
KR20130020176A (en) Method and system for investing by using variability
KR102019609B1 (en) System for Investing by using Heterologous Variability
Phansawadhi Equity valuation approach based on accounting variables

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