CN110880061A - Commodity hand price risk supervision method and system - Google Patents

Commodity hand price risk supervision method and system Download PDF

Info

Publication number
CN110880061A
CN110880061A CN201911006092.3A CN201911006092A CN110880061A CN 110880061 A CN110880061 A CN 110880061A CN 201911006092 A CN201911006092 A CN 201911006092A CN 110880061 A CN110880061 A CN 110880061A
Authority
CN
China
Prior art keywords
price
commodity
hand
data
risk
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
CN201911006092.3A
Other languages
Chinese (zh)
Inventor
顾礼彬
郭蓉
许军
李丹霞
叶国华
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.)
Suning Cloud Computing Co Ltd
Original Assignee
Suning Cloud Computing 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 Suning Cloud Computing Co Ltd filed Critical Suning Cloud Computing Co Ltd
Priority to CN201911006092.3A priority Critical patent/CN110880061A/en
Publication of CN110880061A publication Critical patent/CN110880061A/en
Priority to CA3158365A priority patent/CA3158365A1/en
Priority to PCT/CN2020/105963 priority patent/WO2021077844A1/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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • 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
    • G06Q30/0206Price or cost determination based on market factors
    • 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
    • G06Q30/0207Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0222During e-commerce, i.e. online transactions

Landscapes

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

Abstract

The invention discloses a commodity hand price risk supervision method and a commodity hand price risk supervision system, wherein the method comprises the following steps: acquiring commodity-to-hand price influence factors, wherein the commodity-to-hand price influence factors comprise daily pricing data to be examined and approved, marketing activity data or promotion activity data; screening all affected commodities related to the commodity-to-price influence factor; calculating the hand price of each affected commodity in each second in the time period needing risk supervision; and judging whether the commodity to the hand price has price risk or not, if no price risk exists, the commodity to the hand price influence factor is approved and passed, and if the price risk exists, the commodity to the hand price influence factor is not approved and passed. By adopting the method, the hand price when the commodity-to-hand price influence factor is effective can be previewed in advance, and then the commodity-to-hand price risk is judged by comparing the hand price threshold value, so that the gross profit loss of the commodity is avoided.

Description

Commodity hand price risk supervision method and system
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a commodity hand price risk supervision method and system.
Background
The commodity marketing promotion activities are more and more in variety, commodities can participate in various marketing promotion activities at the same time point, the hand price calculation of commodities at the same time point is more and more complex, and the hand price calculation of batch commodities exceeds the human calculation range.
At present, the hand price of a commodity is predicted according to pricing and marketing promotion activities which are successfully established in the future of the commodity in the industry, but the hand price of the commodity which is normally sold or sold in an activity period after the operation can not be accurately calculated when the strategy of the pricing or promotion activities is formulated for the commodity, the formulation of the commodity pricing and selling strategy is seriously influenced, further the risk supervision of the hand price of the commodity can not be provided, and the gross profit loss of the commodity is easily caused.
Disclosure of Invention
One of the purposes of the invention is to overcome the problem that the prior art can not provide the commodity hand price risk and is easy to cause the commodity gross profit loss, so as to provide a commodity hand price risk supervision method, which can predict the hand price when the commodity hand price influence factor is effective in advance, judge the commodity hand price risk by comparing the hand price threshold value and avoid the commodity gross profit loss, and in order to achieve the purposes, the invention provides the following technical scheme:
a method for supervising the risk of commodities to hand prices, comprising the steps of:
acquiring commodity-to-hand price influence factors, wherein the commodity-to-hand price influence factors comprise daily pricing data to be examined and approved, marketing activity data or promotion activity data;
screening all affected commodities related to the commodity-to-price influence factor;
calculating the hand price of each affected commodity in each second in the time period needing risk supervision;
and judging whether the commodity to the hand price has price risk or not, if no price risk exists, the commodity to the hand price influence factor is approved and passed, and if the price risk exists, the commodity to the hand price influence factor is not approved and passed.
Specifically, the daily pricing data, the marketing campaign data and the promotion campaign data are respectively preset with corresponding price information and effective time information; wherein,
daily pricing data to be approved or marketing activity data to be approved only affect the hand price of one commodity; the pending promotional activity data affects the hand price of one or more items.
Preferably, the method for calculating the hand price per second of each affected commodity in the risk supervision requiring time period specifically comprises:
finding validated daily pricing data, marketing campaign data, and promotional campaign data associated with each affected item;
determining a time period needing risk supervision according to the effective time information of the effective daily pricing data, the effective marketing activity data and the effective promotion activity data, and the effective time information of the daily pricing data, the effective marketing activity data or the effective promotion activity data to be examined and approved;
according to the commodity page price priority rule, obtaining the page price of each affected commodity in each second within the required risk supervision time period;
and based on the page price, overlapping the effective promotion activity data and/or pending promotion activity data, and calculating the hand price of each affected commodity every second in the risk supervision requiring time period.
Further, the item page price priority rule comprises: the marketing campaign data has a higher priority than the daily pricing data, and the marketing campaign data comprises, in order of priority from high to low: pre-sale price data, gathering price data and sale promotion price data of the commodities;
meanwhile, the priority of the daily pricing data to be examined and approved is higher than that of the effective daily pricing data, and the priority of the marketing campaign data to be examined and approved is higher than that of the effective marketing campaign data of the same type.
Preferably, the promotional campaign data includes full deactivation campaign data, coupon campaign data and shopping subsidy campaign data.
Preferably, the promotion offer amount of each second of the affected commodities in the time period of need risk supervision is calculated according to the effective promotion data and/or pending promotion data, and the hand price of each second of each affected commodity in the time period of need risk supervision is the difference between the page price and the promotion offer amount of the promotion data.
Specifically, the promotion activity preferential amount of each affected commodity under the conditions of the highest preferential strength and the lowest preferential strength is calculated, and the hand price of each affected commodity under the conditions of the high preferential strength and the lowest preferential strength is correspondingly obtained.
Preferably, the local server or the cloud platform is selected according to the quantity of the affected commodities to calculate the promotional activity discount amount and the hand price of each second of each affected commodity in the risk monitoring time period.
Preferably, whether the hand price of the affected commodity has the price risk is judged by comparing the hand price of the affected commodity with the hand price threshold value;
the hand price threshold value comprises the following steps in sequence according to the priority from high to low: a hand price threshold set by the merchant, a hand price threshold calculated from the commodity historical 30-day price data, and a hand price threshold calculated from the commodity market price data.
The second purpose of the invention is to overcome the problem that the prior art can not provide the commodity hand price risk and is easy to cause the commodity gross profit loss, so as to provide a commodity hand price risk supervision system, which can preview the hand price when the commodity hand price influence factor is effective in advance, and further judge the commodity hand price risk by comparing the hand price threshold value to avoid the commodity gross profit loss, and in order to achieve the purpose, the invention provides the following technical scheme:
a commodity hand price risk supervision system comprises an input module, a search module, a calculation module and a judgment module, wherein,
the input module is used for acquiring commodity-to-hand price influence factors, and the commodity-to-hand price influence factors comprise daily pricing data to be examined and approved, marketing activity data or promotion activity data;
the searching module is used for screening all affected commodities related to the commodity-price influence factor;
the calculation module is used for calculating the hand price of each affected commodity in each second in a time period needing risk supervision;
the judging module is used for judging whether the commodity to hand price has price risk or not, if no price risk exists, the commodity to hand price influence factor is approved and passed, and if the price risk exists, the commodity to hand price influence factor is not approved and passed.
Compared with the prior art, the commodity hand price risk supervision method and the commodity hand price risk supervision system provided by the invention have the following beneficial effects:
the method for supervising the risks of commodities to hand prices, provided by the invention, comprises the steps of firstly obtaining commodity to hand price influence factors, wherein the commodity to hand price influence factors comprise but are not limited to one of daily pricing data, marketing activity data or promotion activity data to be examined and approved, and only obtaining one commodity to hand price influence factor each time; then screening all affected commodities related to the commodity-to-hand price influence factors, wherein due to the fact that promotional activities and the like of each affected commodity which can be overlaid at different time are different, the hand price of each affected commodity in each second in a time period needing risk supervision needs to be calculated, and it is ensured that no price risk loophole exists in the hand price at any time point; and then comparing the commodity with a hand price threshold value to judge whether the commodity has price risk to the hand price, if no price risk exists, the commodity passes the examination and approval of the hand price influence factor, and if the price risk exists, the commodity does not pass the examination and approval of the hand price influence factor, so that the loss of gross profit of the commodity is avoided.
By adopting the commodity to hand price risk supervision system, the hand price when the commodity to hand price influence factor takes effect can be previewed in advance according to different sales forms and marketing promotion activity scenes, and then the commodity to hand price risk is judged by comparing the hand price threshold value, so that the loss of the gross profit of the commodity is avoided.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a general schematic diagram of a method flow of a method for supervising the risks of commodities to hand prices in an embodiment of the present invention;
FIG. 2 is a detailed schematic diagram of a method flow of a method for supervising the risks of commodities to hand prices in the embodiment of the present invention;
FIG. 3 is a schematic flow chart of a method for calculating the hand price per second of each affected commodity in the time period requiring risk supervision according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a user setting up a promotional program using the method for risk monitoring of merchandise to hand prices in an embodiment of the present invention;
FIG. 5 is a schematic diagram of an architecture of a system for monitoring the risk of commodities to hand prices according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1 or fig. 2, the method for supervising the risk of commodities to hand prices provided in the present embodiment includes the steps of:
acquiring commodity-to-hand price influence factors, wherein the commodity-to-hand price influence factors comprise daily pricing data to be examined and approved, marketing activity data or promotion activity data;
screening all affected commodities related to the commodity-to-price influence factors;
calculating the hand price of each affected commodity in each second in the time period needing risk supervision;
and judging whether the commodity to the hand price has price risk or not, if no price risk exists, the commodity to the hand price influence factor is approved and passed, and if the price risk exists, the commodity to the hand price influence factor is not approved and passed.
According to the commodity to hand price risk supervision method provided by the embodiment of the invention, when a commodity formulates a strategy of commodity to hand price influence factors, namely when the commodity formulates daily pricing, marketing activities or promotion activities, after the commodity to hand price influence factors are introduced, the hand price of each affected commodity in each second in a time period needing risk supervision is calculated, so that the hand price at any time point is ensured to have no price risk loophole; and then comparing the commodity with a hand price threshold value to judge whether the commodity has price risk to the hand price, if no price risk exists, the commodity passes the examination and approval of the hand price influence factor, and if the price risk exists, the commodity does not pass the examination and approval of the hand price influence factor, so that the loss of gross profit of the commodity is avoided.
According to the commodity to hand price risk supervision method provided by the embodiment of the invention, the daily pricing data, the marketing activity data and the sales promotion activity data are respectively preset with corresponding price information and effective time information; the daily pricing data and the marketing activity data are marketing pricing such as daily pricing or pre-selling price of a certain commodity, so that when the commodity-to-hand price influence factor is daily pricing data to be approved or marketing activity data to be approved, the hand price of the commodity is only influenced; the promotional activity data is a coupon or other promotional activity that can be used for a good or a batch of goods, and thus the pending promotional activity data affects the hand price of one or more goods.
Referring to fig. 2 or fig. 3, the method for supervising the hand price of a commodity according to the embodiment of the present invention includes the following steps:
finding validated daily pricing data, marketing campaign data, and promotional campaign data associated with each affected item;
determining a time period needing risk supervision according to the effective time information of the effective daily pricing data, the effective marketing activity data and the effective promotion activity data, and the effective time information of the daily pricing data, the effective marketing activity data or the effective promotion activity data to be examined and approved;
according to the commodity page price priority rule, obtaining the page price of each affected commodity in each second within the required risk supervision time period;
based on the page price, the validated promotional activity data and/or the pending promotional activity data are superimposed, and the hand price per second for each affected item within the risk-required regulatory time period is calculated.
In a specific implementation process, according to the starting effective time of the daily pricing data, and the starting effective time and the ending effective time of the marketing activity data and the promotion activity data, a maximum time interval is obtained as a time period requiring risk supervision.
Further, the item page price priority rules include: the marketing campaign data has a higher priority than the daily pricing data, and the marketing campaign data comprises, in order of priority from high to low: pre-sale price data, gathering price data and sale promotion price data of the commodities; meanwhile, the priority of the daily pricing data to be examined and approved is higher than that of the effective daily pricing data, and the priority of the marketing campaign data to be examined and approved is higher than that of the effective marketing campaign data of the same type. According to the commodity page price priority rule, the page price of each affected commodity in each second within the required risk supervision time period can be quickly obtained, and a basis is provided for predicting and calculating the hand price of the commodity.
In another aspect, the promotional campaign data includes full deactivation campaign data, coupon campaign data, and shopping subsidy campaign data. And calculating the promotion activity preferential amount of each second of the affected commodities in the time period needing risk supervision according to the effective promotion activity data and/or the pending promotion activity data, wherein the hand price of each second of each affected commodity in the time period needing risk supervision is the difference between the page price and the promotion activity data preferential amount. Preferably, in the method for supervising the risk of commodities to hand prices provided in the embodiment of the present invention, only the promotional activity discount amount of each affected commodity under the two conditions of the highest discount strength and the lowest discount strength is calculated, the hand price of each affected commodity under the two conditions of the high discount strength and the lowest discount strength is correspondingly obtained, and is respectively compared with the upper limit and the lower limit of the hand price threshold, if the hand price under the two conditions of the high discount strength and the lowest discount strength is within the hand price threshold, no price risk exists in other discount combination modes, so that the calculation amount is greatly reduced, the calculation speed is increased, and the memory occupation is reduced.
With continued reference to fig. 2 or fig. 3, the pending daily pricing data or pending marketing campaign data only affects the hand price of a commodity; the pending promotional activity data affects the hand price of one or more items, and in the specific calculation of the promotional activity discount sum and the hand price, a local server or a cloud platform can be selected according to the number of affected items to calculate the promotional activity discount sum and the hand price of each affected item per second within the required risk supervision time period. For example, a promotion center can be set up at a local server, a big data computing center is designed at a cloud platform, the effective daily pricing data, marketing activity data and promotion activity data are respectively stored in the promotion center and the big data computing center, one or more calculation rules are preset in the promotion center, when the quantity of commodities is less than 100, the promotion activity preferential amount and the hand price of each affected commodity per second in the risk supervision requiring time period are calculated in the promotion center, and when the quantity of commodities is greater than or equal to 100, the promotion activity preferential amount and the hand price of each affected commodity per second in the risk supervision requiring time period are calculated in the big data computing center. The method adjusts and selects the limited quantity of commodities of different computing centers according to the actual computing capacity of the promotion center and the big data computing center, and is also within the protection scope of the invention.
According to the method for supervising the hand-to-hand price of the commodity, whether the hand-to-hand price of the affected commodity has the price risk or not is judged by comparing the hand-to-hand price of the affected commodity with the hand-to-hand price threshold value. The manual price threshold comprises the following steps in sequence according to the priority from high to low: a hand price threshold set by the merchant, a hand price threshold calculated from the commodity historical 30-day price data, and a hand price threshold calculated from the commodity market price data. The hand price threshold calculated according to the commodity historical 30-day price data can be calculated by a promotion center or a big data calculation center based on historical data, and the hand price threshold calculated according to the commodity market price data can be obtained by other information systems and compensation calculation. The hand price threshold is set to be three grades according to the priority from high to low, so that the situation that the price risk cannot be judged due to the fact that the user forgets to set the hand price threshold is avoided to a great extent, and the reliability of the price risk judgment result is improved. In addition, the hand price threshold value is provided with an upper limit and a lower limit, so that the phenomenon that sales slip caused by overhigh hand price of commodities is avoided, further the income is too little, and the gross profit loss caused by overhigh hand price of commodities is also avoided.
The method for supervising the risks of commodities to hand prices, provided by the embodiment of the invention, further comprises the following steps: the hand price and the price risk evaluation result of the affected commodity are statistically output and displayed to the user, for example, the hand price and the price risk evaluation result of the affected commodity are displayed on a display page in real time in a chart mode, so that the user can conveniently adjust the hand price influence factor of the commodity according to the hand price and the price risk evaluation result of the hand price, the gross profit loss is avoided, and meanwhile, the efficiency of making a pricing or sales promotion activity strategy is improved.
Referring to fig. 4, when a user sets up a sales promotion using the method for supervising the risks of commodities to hand prices in the embodiment of the present invention, the specific method includes:
the method comprises the following steps: the user registers the general offer, and maintains the item of the offer, the time m-n of the event (m is the event start time and n is the event end time), the number of the event, the price A of the event, the types of promotion offers a, b, c (a is the order full deactivation, b is the full reduction coupon event, c is the shopping allowance event).
Step two: after the user maintains the activity information, the commodity sales hand price in the commodity activity period m-n time is calculated by using the commodity hand price risk supervision method in the embodiment of the invention, and the price risk condition of the hand price is obtained. The specific process is as follows:
1. querying, over the m-n time period, commodity pricing (B), various types of marketing campaign prices for which the commodity has been maintained (C, D);
2. in the m-n time period, dividing the pricing B and the activity price A, C, D according to the activity time, taking the optimal price as the page price of the commodity in the time period according to the page price priority rule in each most-subdivided time period, and predicting the page price of the commodity in the m-n time period, for example: m-x is the activity price of A, and x-n is the activity price of C;
3. the stackable promotional programs, e.g., a and b, are queried by activity A for m-x, and the stackable promotional programs, e.g., b and C, are queried by activity C for x-n time periods.
And dividing the promotion activities a and b according to the activity time in the m-x time, and determining the promotion activities in each subdivided time, such as: a activity exists in the m-y time period, and a and b activities exist in the y-x time period; and respectively calculating the promotion activity discount in each time period. The same way is used for calculations during the x-n time period, for example: there is b activity in x-z time period, and there are two activities b, c in z-n.
4. The hand price of the commodity is calculated by predicting in 4 time periods m-y, y-x, x-z, z-n:
within m-y, the commodity-to-hand value Pm-y is a-a;
y-x, commodity to hand value Py-x ═ a-b;
the same applies to the commodity hand prices in Px-z and Pz-n.
5. By comparing the hand price to the hand price threshold of the commodity, it is determined whether the hand price is at risk, for example: and inquiring a hand price threshold PB set by the merchant, checking the size relation between PB and Pm-y, Py-x, Px-z and Pz-n, and acquiring the price risk condition of the hand price. If the price risk exists, the user can readjust the activity price and the stackable sales promotion activity, and then do the hand price prediction calculation of the commodity and the new price risk assessment again until the sales promotion activity passes the approval after the price risk does not exist.
Example two
The embodiment of the invention provides a commodity hand price risk supervision system which comprises an input module, a searching module, a calculating module and a judging module.
The input module is used for acquiring commodity-to-hand price influence factors, and the commodity-to-hand price influence factors comprise daily pricing data to be examined and approved, marketing activity data or promotion activity data; the searching module is used for screening all affected commodities related to the commodity-to-price influence factors; the calculation module is used for calculating the hand price of each affected commodity in each second in the time period needing risk supervision; the judging module is used for judging whether the commodity to the hand price has price risk or not, if no price risk exists, the commodity to the hand price influence factor is approved and passed, and if the price risk exists, the commodity to the hand price influence factor is not approved and passed.
In the specific implementation, referring to fig. 3, the design of the commodity-to-hand price risk supervision system includes adopting an object-oriented design method and the design concept of MVC, combining with the system decomposition from the business, and mainly using an SNF technology framework, including spring MVC, dal, redis, rsf, and windq, and other technical components; interaction between the distributed synchronous calling and external systems mainly adopts RSF through MQ and RSF, and the storage of messages is asynchronously carried out by adopting MQ queues; the database adopts mysql, the cache adopts redis, the horizontal and vertical splitting of the database and the horizontal splitting of the cache are considered in design; in order to provide high-concurrency and quick-response inquiry service for affected commodities and related daily pricing data, marketing activity data and promotion activity data and reduce inquiry pressure brought to a database by high-frequency price calculation, an effective cache mechanism is established, and basic data corresponding to a physical table is stored in a cache. The processing efficiency of batch query service or price calculation is improved through a multithreading technology, and threads are managed through a fixed thread pool.
By adopting the commodity to hand price risk supervision system provided by the invention, the commodity to hand price risk supervision method provided by the previous embodiment can be used for previewing the hand price when the commodity to hand price influence factor is effective in advance according to different sales forms and marketing promotion activity scenes, and further judging the commodity to hand price risk by comparing the hand price threshold value, thereby avoiding the gross profit loss of the commodity.
In the foregoing description of embodiments, the particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (10)

1. A commodity hand price risk supervision method is characterized by comprising the following steps:
acquiring commodity-to-hand price influence factors, wherein the commodity-to-hand price influence factors comprise daily pricing data to be examined and approved, marketing activity data or promotion activity data;
screening all affected commodities related to the commodity-to-price influence factor;
calculating the hand price of each affected commodity in each second in the time period needing risk supervision;
and judging whether the commodity to the hand price has price risk or not, if no price risk exists, the commodity to the hand price influence factor is approved and passed, and if the price risk exists, the commodity to the hand price influence factor is not approved and passed.
2. The method for supervising the risks of commodities to hands and prices according to claim 1, wherein the daily pricing data, marketing campaign data and sales promotion campaign data are preset with corresponding price information and effective time information, respectively; wherein,
daily pricing data to be approved or marketing activity data to be approved only affect the hand price of one commodity; the pending promotional activity data affects the hand price of one or more items.
3. The method for merchandise to hand price risk supervision according to claim 2, wherein the method of calculating the hand price per second of each affected merchandise within the time period requiring risk supervision specifically comprises:
finding validated daily pricing data, marketing campaign data, and promotional campaign data associated with each affected item;
determining a time period needing risk supervision according to the effective time information of the effective daily pricing data, the effective marketing activity data and the effective promotion activity data, and the effective time information of the daily pricing data, the effective marketing activity data or the effective promotion activity data to be examined and approved;
according to the commodity page price priority rule, obtaining the page price of each affected commodity in each second within the required risk supervision time period;
and based on the page price, overlapping the effective promotion activity data and/or pending promotion activity data, and calculating the hand price of each affected commodity every second in the risk supervision requiring time period.
4. The method for merchandise hand-price risk supervision according to claim 3, characterized in that the merchandise page price priority rule comprises: the marketing campaign data has a higher priority than the daily pricing data, and the marketing campaign data comprises, in order of priority from high to low: pre-sale price data, gathering price data and sale promotion price data of the commodities;
meanwhile, the priority of the daily pricing data to be examined and approved is higher than that of the effective daily pricing data, and the priority of the marketing campaign data to be examined and approved is higher than that of the effective marketing campaign data of the same type.
5. The method of claim 3, wherein the promotional activity data comprises full deactivation data, coupon activity data, and shopping subsidy activity data.
6. The method for supervising the risk of commodities to hand prices according to claim 3, characterized in that the promotional activity discount amount of each second of the affected commodities in the time period for which the risk supervision is required is calculated according to the validated promotional activity data and/or the pending promotional activity data, and the hand price of each of the affected commodities in the time period for which the risk supervision is required is the difference between the page price and the promotional activity data discount amount.
7. The method for supervising the risk of commodities to hand prices according to claim 6, wherein the discount amount of the promotion activity of each affected commodity under the conditions of the highest discount degree and the lowest discount degree is calculated, and the hand price of each affected commodity under the conditions of the high discount degree and the lowest discount degree is correspondingly obtained.
8. The method for supervising the risk of commodities to hand prices of claim 6, wherein the sales promotion offer amount and the hand price of each affected commodity per second in the time period requiring risk supervision are calculated by using a local server or a cloud platform according to the quantity of the affected commodities.
9. The method for supervising the hand price risk of commodities according to claim 1, wherein the hand price of the affected commodity is compared with a hand price threshold value to judge whether the hand price of the affected commodity has a price risk;
the hand price threshold value comprises the following steps in sequence according to the priority from high to low: a hand price threshold set by the merchant, a hand price threshold calculated from the commodity historical 30-day price data, and a hand price threshold calculated from the commodity market price data.
10. A commodity hand price risk supervision system is characterized by comprising an input module, a searching module, a calculating module and a judging module, wherein,
the input module is used for acquiring commodity-to-hand price influence factors, and the commodity-to-hand price influence factors comprise daily pricing data to be examined and approved, marketing activity data or promotion activity data;
the searching module is used for screening all affected commodities related to the commodity-price influence factor;
the calculation module is used for calculating the hand price of each affected commodity in each second in a time period needing risk supervision;
the judging module is used for judging whether the commodity to hand price has price risk or not, if no price risk exists, the commodity to hand price influence factor is approved and passed, and if the price risk exists, the commodity to hand price influence factor is not approved and passed.
CN201911006092.3A 2019-10-22 2019-10-22 Commodity hand price risk supervision method and system Pending CN110880061A (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
CN201911006092.3A CN110880061A (en) 2019-10-22 2019-10-22 Commodity hand price risk supervision method and system
CA3158365A CA3158365A1 (en) 2019-10-22 2020-07-30 Risk supervision method for commodity purchase prices and system thereof
PCT/CN2020/105963 WO2021077844A1 (en) 2019-10-22 2020-07-30 Risk supervision method and system for commodity net price

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911006092.3A CN110880061A (en) 2019-10-22 2019-10-22 Commodity hand price risk supervision method and system

Publications (1)

Publication Number Publication Date
CN110880061A true CN110880061A (en) 2020-03-13

Family

ID=69728075

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911006092.3A Pending CN110880061A (en) 2019-10-22 2019-10-22 Commodity hand price risk supervision method and system

Country Status (3)

Country Link
CN (1) CN110880061A (en)
CA (1) CA3158365A1 (en)
WO (1) WO2021077844A1 (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111861558A (en) * 2020-07-17 2020-10-30 上海伯俊软件科技有限公司 Order sales promotion engine
WO2021077844A1 (en) * 2019-10-22 2021-04-29 苏宁云计算有限公司 Risk supervision method and system for commodity net price
CN113627981A (en) * 2021-08-09 2021-11-09 口碑(上海)信息技术有限公司 Activity information providing method and device, computer equipment and readable storage medium
CN113807876A (en) * 2020-06-15 2021-12-17 阿里巴巴集团控股有限公司 Training sample generation method and device and model training method and device

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114662933B (en) * 2022-03-24 2023-04-07 杭州良时智能科技有限公司 Marketing operation risk control method and system
CN117350750B (en) * 2023-10-20 2024-06-18 湖北卓铸网络科技有限公司 Marketing data analysis system and method based on big data

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190362371A1 (en) * 2016-12-09 2019-11-28 Shawn Hutchinson Unique pricing engine
CN110197408B (en) * 2018-02-26 2021-06-29 苏宁易购集团股份有限公司 Pricing early warning method and system for premium commodities
CN110210880A (en) * 2018-02-28 2019-09-06 北京京东尚科信息技术有限公司 Data processing method, device and computer readable storage medium
CN110175862A (en) * 2019-04-16 2019-08-27 苏宁易购集团股份有限公司 Commodity price calculation method and system are sold for electric business platform
CN110880061A (en) * 2019-10-22 2020-03-13 苏宁云计算有限公司 Commodity hand price risk supervision method and system

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021077844A1 (en) * 2019-10-22 2021-04-29 苏宁云计算有限公司 Risk supervision method and system for commodity net price
CN113807876A (en) * 2020-06-15 2021-12-17 阿里巴巴集团控股有限公司 Training sample generation method and device and model training method and device
CN111861558A (en) * 2020-07-17 2020-10-30 上海伯俊软件科技有限公司 Order sales promotion engine
CN113627981A (en) * 2021-08-09 2021-11-09 口碑(上海)信息技术有限公司 Activity information providing method and device, computer equipment and readable storage medium

Also Published As

Publication number Publication date
WO2021077844A1 (en) 2021-04-29
CA3158365A1 (en) 2021-04-29

Similar Documents

Publication Publication Date Title
CN110880061A (en) Commodity hand price risk supervision method and system
Maihami et al. Joint pricing and inventory control for non-instantaneous deteriorating items with partial backlogging and time and price dependent demand
JP5337174B2 (en) Demand prediction device and program thereof
US8019643B2 (en) System and method for incorporating packaging and shipping ramifications of net profit/loss when up-selling
CN111445133B (en) Material management method and device, computer equipment and storage medium
JP5418326B2 (en) Price determining apparatus, price determining method, and computer program
CN110197408B (en) Pricing early warning method and system for premium commodities
JP7354363B2 (en) Provision device, method and program
CN113763125A (en) Method and device for generating purchase order about purchased goods
CN107392597A (en) A kind of intelligent payment method, device and service system
US20230031627A1 (en) Methods and apparatus for automatic order assignment
CN112819404A (en) Data processing method and device, electronic equipment and storage medium
JP6763049B2 (en) Presentation device, presentation method and presentation program
US20140297372A1 (en) Evaluation support device and evaluation support method
CN113869987A (en) Computer system for monitoring commodity price of e-commerce platform
CN111507779A (en) Method and device for grading commodities
CN112884518A (en) Combined selling method and device for different commodities
CN110866220A (en) Selection recommendation system in e-commerce activity process
CN115601095A (en) Order sorting method, equipment and computer readable medium
CN114723354A (en) Online business opportunity mining method, equipment and medium for suppliers
CN109727053B (en) Object delivery determination method and device and computer-readable storage medium
KR102197727B1 (en) Artificial Intelligent Shopping System for Open Market
KR20220105760A (en) Transaction processing sytem using purchaser association information for each item
CN110084541B (en) Method and apparatus for predicting supplier delivery duration
KR20100083540A (en) Method and system for brokering transaction for preorder goods

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
RJ01 Rejection of invention patent application after publication

Application publication date: 20200313

RJ01 Rejection of invention patent application after publication