CN118195666A - Automatic commodity price monitoring method and device, storage medium and computer equipment - Google Patents
Automatic commodity price monitoring method and device, storage medium and computer equipment Download PDFInfo
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Abstract
The application provides an automatic commodity price monitoring method, an automatic commodity price monitoring device, a storage medium and computer equipment. The method comprises the following steps: acquiring commodity order data; determining an order source shop, commodity identification information, price information and order creation time according to commodity order data; identifying whether the order source store belongs to a sales promotion store; if the activity duration belongs to the preset time, determining an activity validity period; judging whether the order creation time is within the activity validity period; if the sales promotion program is in the active period, matching corresponding target monitoring rules according to the sales promotion program level, commodity identification information and the order source store; judging whether the price information is abnormal or not based on the target monitoring rule; if the price information is judged to be abnormal, the commodity order data is marked as an abnormal order. The application can cope with the price control requirements under different activities without logic improvement on the order system, and has higher flexibility.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and apparatus for automatically monitoring a commodity price, a storage medium, and a computer device.
Background
In the electronic commerce industry, price control is an important means for maintaining brand images, guaranteeing profit margins and maintaining market order. With the rapid development of online electronic commerce and the popularity of multi-channel sales strategies, brand-wise has faced challenges in monitoring and managing product pricing in various sales channels in real-time.
The traditional price monitoring means mainly depend on manual operation, and the method has the advantages of poor timeliness, low fault tolerance, difficulty in processing a large amount of data and high operation complexity and cost. With advances in technology, various automated tools are emerging on the market to aid in price monitoring and management. These tools typically incorporate an Order Management System (OMS) and Inventory management system (Inventory MANAGEMENT SYSTEM) to provide periodic or real-time price updating and monitoring functions. However, the existing automated solutions have poor flexibility and cannot cope with the situation that the price of the current electronic commerce promotion is variable, so that manual intervention is required to frequently adjust.
Disclosure of Invention
The embodiment of the application provides a commodity price automatic monitoring method, a commodity price automatic monitoring device, a storage medium and computer equipment, which can provide automatic monitoring for the condition of frequent price change caused by sales promotion.
In a first aspect, the present application provides a method for automatically monitoring a price of a commodity, the method comprising:
acquiring commodity order data;
determining an order source shop, commodity identification information, price information and order creation time according to the commodity order data;
identifying whether the order source store belongs to a promotional program store;
if the activity duration belongs to the preset time, determining an activity validity period;
judging whether the order creation time is within the activity validity period;
If the sales promotion program is in the activity validity period, matching corresponding target monitoring rules according to the sales promotion program level, the commodity identification information and the order source store;
judging whether the price information is abnormal or not based on the target monitoring rule;
and if the price information is judged to be abnormal, marking the commodity order data as an abnormal order.
In one embodiment, if the target monitoring rule is in the activity expiration date, matching the target monitoring rule according to a promotion activity level, the commodity identification information and the order source shop includes:
If the order source shops are simultaneously in the activity validity periods of a plurality of sales promotion activities, determining the activity level of each sales promotion activity respectively;
matching corresponding activity monitoring rules according to the commodity identification information and the order source store;
if more than two activity monitoring rules are matched, screening out the activity monitoring rule with the highest monitoring dimension priority;
If only one activity monitoring rule with the highest monitoring dimension priority is selected, determining the selected activity monitoring rule as the target monitoring rule;
And if more than two activity monitoring rules with highest monitoring dimension priority are selected, determining the activity monitoring rule with highest activity level under the monitoring dimension as the target monitoring rule.
In one embodiment, the screening the activity monitoring rule with the highest monitoring dimension priority includes:
identifying the rule with the smallest dimension range for the commodity in the matched activity monitoring rules;
If only one rule with the smallest commodity dimension range is selected from the matched activity monitoring rules, determining the rule as the activity monitoring rule with the highest priority;
And if more than two matched activity monitoring rules are used for aiming at the rule with the smallest commodity dimension range, identifying the rule with the smallest commodity channel dimension range in the activity monitoring rules with the smallest commodity dimension range, and determining the rule as the activity monitoring rule with the highest priority.
In one embodiment, the method further comprises:
if the commodity identification information is not matched with the activity monitoring rule, the order source store does not belong to a sales promotion store or the order creation time is not in the activity validity period, matching the corresponding daily monitoring rule according to the commodity identification information and the order source store;
And if the daily monitoring rules are matched with more than two daily monitoring rules, screening out the daily monitoring rule with the highest monitoring dimension priority as the target monitoring rule.
In one embodiment, the screening the daily monitoring rule with the highest monitoring dimension priority as the target monitoring rule includes:
identifying the rule with the smallest dimension range for the commodity in the matched daily monitoring rules;
If only one rule with the smallest dimension range of the commodity is in the matched daily monitoring rules, determining the rule as the target monitoring rule;
and if more than two matched daily monitoring rules are used for aiming at the rule with the smallest commodity dimension range, identifying the rule with the smallest commodity channel dimension range in the daily monitoring rules with the smallest commodity dimension range, and determining the rule as the target monitoring rule.
In one embodiment, the determining whether the price information is abnormal based on the target monitoring rule includes:
determining a minimum discount according to the target monitoring rule;
Calculating a minimum settlement price according to the selling price in the price information and the minimum discount;
And if the settlement price in the price information is lower than the lowest settlement price, judging that the price information is abnormal.
In one embodiment, the acquiring merchandise order data includes:
and generating commodity order data corresponding to the order before acquiring the preset time delay from the order system.
In a second aspect, the present application provides an automatic monitoring apparatus for commodity prices, comprising:
The data acquisition module is used for acquiring commodity order data;
The data extraction module is used for determining an order source shop, commodity identification information, price information and order creation time according to the commodity order data;
the identification module is used for identifying whether the order source store belongs to a sales promotion store or not;
the validity period determining module is used for determining the validity period of the campaign when the order source store belongs to a sales promotion campaign store;
The first judging module is used for judging whether the order creation time is within the activity validity period or not;
The matching module is used for matching corresponding target monitoring rules according to the promotion activity level, the commodity identification information and the order source store when the order creation time is in the activity validity period;
The second judging module is used for judging whether the price information is abnormal or not based on the target monitoring rule;
And the abnormality marking module is used for marking the commodity order data as an abnormal order when judging that the price information is abnormal.
In a third aspect, the present application provides a storage medium having stored therein computer readable instructions which, when executed by one or more processors, cause the one or more processors to perform the steps of the automatic commodity price monitoring method according to any one of the preceding claims.
In a fourth aspect, the present application provides a computer device comprising: one or more processors, and memory;
The memory has stored therein computer readable instructions which, when executed by the one or more processors, perform the steps of the automatic commodity price monitoring method according to any one of the preceding claims.
From the above technical solutions, the embodiment of the present application has the following advantages:
The method, the device, the storage medium and the computer equipment for automatically monitoring the commodity price provided by the application are used for extracting information from the acquired commodity order data, determining the order source store, commodity identification information, price information and order creation time, and when the order source store of the commodity order is identified to belong to a sales promotion activity store and the order creation time is within the activity validity period, carrying out abnormal judgment on the price information according to the commodity identification information, the sales promotion activity level and the target monitoring rules corresponding to the matching of the order source store, defining a plurality of price control rules according to the monitoring requirements in advance, introducing definition logic of an electronic commerce platform to the activity level, combining with the store source determination channel, and being capable of coping with price control requirements under different activities without carrying out logic improvement on an order system, thereby having higher flexibility.
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In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the application, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a flow chart of a method for automatically monitoring a price of a commodity in one embodiment;
FIG. 2 is a block diagram of an automatic commodity price monitoring device according to one embodiment;
FIG. 3 is an internal block diagram of a computer device, in one embodiment.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
As shown in fig. 1, an embodiment of the present application provides a method for automatically monitoring a commodity price, where the method includes:
Step S101, acquiring commodity order data.
Commodity order data is obtained from the order system. In some embodiments, the product order data corresponding to the screened valid order is obtained after the invalid order in the order system is screened out.
Step S102, determining an order source shop, commodity identification information, price information and order creation time according to commodity order data.
Step S103, identifying whether the order source store belongs to a sales promotion store.
The sales promotion store refers to a store participating in any sales promotion in the channel where the sales promotion store is located.
Step S104, if the data belongs to the group, determining the activity validity period.
Campaign expiration date refers to the duration of a promotional campaign in which the order source store was engaged in its channel.
Step S105, judging whether the order creation time is within the active validity period.
If the order creation time is within the range of the campaign validity period, it is determined that the order is traded during the campaign validity period, and the price control price of the order during the campaign is generally lower than the daily price control price, so that it is necessary to query whether there is a predefined price monitoring rule matching the store, the goods of the order, and the campaign.
Step S106, if the sales promotion program is in the active period, matching the corresponding target monitoring rules according to the sales promotion program level, the commodity identification information and the order source store.
The sales promotion activity level is a level obtained by grading the activities according to different sales promotion forces and scales by the electronic commerce platform, and the target monitoring rule is matched according to the sales promotion activity level corresponding to the sales promotion activity participated by the order source store, the commodity of the order and the order source store.
Step S107, judging whether the price information is abnormal or not based on the target monitoring rule.
The price information abnormality refers to a bottom line that the settlement price of the commodity is lower than the control price.
In one embodiment, the determining whether the price information is abnormal based on the target monitoring rule includes:
determining a minimum discount according to the target monitoring rule;
calculating a minimum settlement price according to the selling price and the minimum discount in the price information;
If the settlement price in the price information is lower than the lowest settlement price, the price information is judged to be abnormal.
The selling price is the original price of the commodity, and the lowest settlement price can be calculated according to the lowest discount and the selling price. Exemplary, S-level promotional program, minimum discount 5, full line merchandise of store a of an electronic commerce platform to participate in the program, consumer A purchases merchandise at store a of the electronic commerce platform during the program expiration date
In step S108, if the price information is judged to be abnormal, the commodity order data is marked as an abnormal order.
The abnormal order is identified, the related order data can be provided for related personnel to conduct price control management and data analysis, the price can be early-warned and adjusted in time when the abnormal order is found, and deeper market insight and pricing decision support can be provided for market departments.
According to the automatic commodity price monitoring method, information extraction is carried out on acquired commodity order data, order source shops, commodity identification information, price information and order creation time are determined, when the fact that the order source shops of commodity orders belong to sales promotion movable shops is identified, and the order creation time is within the activity validity period, abnormal judgment is carried out on price information according to the commodity identification information, sales promotion movable grades and target monitoring rules corresponding to matching of the order source shops, a plurality of price control rules are defined according to monitoring requirements in advance, definition logic of an electronic commerce platform for the movable grades is introduced, a channel is determined according to the shop sources, logic improvement is not needed on an order system, price control requirements under different activities can be met, and flexibility is high.
In one embodiment, if the target monitoring rule is in the activity expiration date, the target monitoring rule is matched according to the promotion activity level, the commodity identification information and the order source shop, and the target monitoring rule comprises:
If the order source shops are simultaneously in the activity validity periods of a plurality of sales promotion activities, determining the activity level of each sales promotion activity respectively;
matching corresponding activity monitoring rules according to commodity identification information and the order source stores;
if more than two activity monitoring rules are matched, screening out the activity monitoring rule with the highest monitoring dimension priority;
If only one activity monitoring rule with the highest monitoring dimension priority is selected, determining the selected activity monitoring rule as a target monitoring rule;
If more than two activity monitoring rules with highest monitoring dimension priority are selected, determining the activity monitoring rule with highest activity level under the monitoring dimension as a target monitoring rule.
The activity monitoring rule is a price control rule predefined by a pointer for a sales promotion activity, the monitoring dimension priority of the activity monitoring rule is set according to the highest priority of the smallest dimension, the consideration factors of the monitoring dimension comprise commodity dimension and channel dimension, the priority is highest when the commodity dimension and the channel dimension are both the smallest dimension, and the priority of the commodity dimension is higher than the priority of the channel dimension. Specifically, the priority of commodity monitoring dimension is a rule defined for specific commodities in one or more shops in order from high to low, a rule defined for specific commodities in one or more specified channels, a rule defined for specific commodities in all channels, a rule defined for specific commodity classes in one or more shops, a rule defined for specific commodity classes in one or more specified channels, and a rule defined for specific commodity classes in all channels. The commodity class can be general class or custom monitoring class, such as 'new commodity-blind box' and 'blind box', and the similar commodity can be reclassified according to the first time and the priority can be defined.
In this embodiment, a screening method when a commodity order is matched with a plurality of activity monitoring rules is further defined, and the activity monitoring rule with the highest monitoring dimension priority, that is, the activity monitoring rule with the smallest monitoring dimension, is screened out preferentially. If more than two activity rules with the highest priority of the same monitoring dimension after screening exist, the condition that the commodity order is matched with the activity monitoring rules of different activity-level promotion activities in the same monitoring dimension priority is indicated, and the higher the activity level is, the larger the margin of the price control is, so that the activity monitoring rule with the highest activity level is determined as the target monitoring rule.
In one embodiment, the screening the activity monitoring rule with the highest monitoring dimension priority includes:
identifying the rule with the smallest dimension range for the commodity in the matched activity monitoring rules;
If only one rule with the smallest commodity dimension range is selected from the matched activity monitoring rules, determining the rule as the activity monitoring rule with the highest priority;
And if more than two matched activity monitoring rules are used for aiming at the rule with the smallest commodity dimension range, identifying the rule with the smallest commodity channel dimension range in the activity monitoring rules with the smallest commodity dimension range, and determining the rule as the activity monitoring rule with the highest priority.
In one embodiment, the method further comprises:
if the commodity identification information is not matched with the activity monitoring rule, the order source store does not belong to a sales promotion store or the order creation time is not in the activity validity period, matching the corresponding daily monitoring rule according to the commodity identification information and the order source store;
And if the daily monitoring rules are matched with more than two daily monitoring rules, screening out the daily monitoring rule with the highest monitoring dimension priority as the target monitoring rule.
The sales promotion activity is not participated in for the order source store, or the order is generated outside the activity validity period, and the daily monitoring rule is used as the price control rule. For the sales promotion, the store from which the order originates participates in the sales promotion, and the order is generated within the validity period of the activity, or there may be an activity monitoring rule which is not defined for the activity, the commodity or the store, and at this time, the activity monitoring rule cannot be matched, so that the daily monitoring rule is also used as the price control rule. The daily monitoring rules can also define a plurality of rules with different dimensionality priorities according to the same logic as the activity monitoring rules, and when the daily monitoring rules are matched, the final target monitoring rules are screened according to the same logic as the activity monitoring rules.
In one embodiment, the screening the daily monitoring rule with the highest monitoring dimension priority as the target monitoring rule includes:
identifying the rule with the smallest dimension range for the commodity in the matched daily monitoring rules;
if only one rule with the smallest dimension range of the commodity is in the matched daily monitoring rules, determining the rule as a target monitoring rule;
and if more than two matched daily monitoring rules aiming at the minimum commodity dimension range are adopted, identifying the rule aiming at the minimum commodity channel dimension range in the daily monitoring rules aiming at the minimum commodity dimension range, and determining the rule as a target monitoring rule.
In one embodiment, the acquiring merchandise order data includes:
and generating commodity order data corresponding to the order before acquiring the preset time delay from the order system.
Because the user can cancel the order immediately after creating the order if the user finds that the order is wrong, if the order generated in the order system is acquired in real time, the cancelled invalid order can be acquired together, so that the reliability of data analysis is affected, and the acquisition amount of the invalid order can be reduced by setting a preset time delay and delaying the acquisition of the order generated in the order system.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
The automatic commodity price monitoring device provided by the embodiment of the application is described below, and the automatic commodity price monitoring device described below and the automatic commodity price monitoring method described above can be correspondingly referred to each other.
As shown in fig. 2, the embodiment of the present application further provides an automatic monitoring device 200 for commodity price, including:
A data acquisition module 201, configured to acquire commodity order data;
the data extraction module 202 is configured to determine an order source store, commodity identification information, price information and order creation time according to the commodity order data;
an identification module 203, configured to identify whether the order source store belongs to a sales promotion store;
A validity period determining module 204, configured to determine a validity period of an activity when the order source store belongs to a sales promotion activity store;
A first determining module 205, configured to determine whether the order creation time is within the activity validity period;
The matching module 206 is configured to match corresponding target monitoring rules according to a promotional activity level, the commodity identification information, and the order source store when the order creation time is in the activity validity period;
A second judging module 207, configured to judge whether the price information is abnormal based on the target monitoring rule;
And the abnormality marking module 208 is configured to mark the commodity order data as an abnormal order when the price information is determined to be abnormal.
In one embodiment, the matching module is configured to perform the steps of:
If the order source shops are simultaneously in the activity validity periods of a plurality of sales promotion activities, determining the activity level of each sales promotion activity respectively;
matching corresponding activity monitoring rules according to the commodity identification information and the order source store;
if more than two activity monitoring rules are matched, screening out the activity monitoring rule with the highest monitoring dimension priority;
If only one activity monitoring rule with the highest monitoring dimension priority is selected, determining the selected activity monitoring rule as the target monitoring rule;
And if more than two activity monitoring rules with highest monitoring dimension priority are selected, determining the activity monitoring rule with highest activity level under the monitoring dimension as the target monitoring rule.
In one embodiment, the matching module is further configured to perform the steps of
Identifying the rule with the smallest dimension range for the commodity in the matched activity monitoring rules;
If only one rule with the smallest commodity dimension range is selected from the matched activity monitoring rules, determining the rule as the activity monitoring rule with the highest priority;
And if more than two matched activity monitoring rules are used for aiming at the rule with the smallest commodity dimension range, identifying the rule with the smallest commodity channel dimension range in the activity monitoring rules with the smallest commodity dimension range, and determining the rule as the activity monitoring rule with the highest priority.
In one embodiment, the automatic commodity price monitoring device further comprises:
The bottom-keeping matching module is used for matching corresponding daily monitoring rules according to the commodity identification information and the order source store when the activity monitoring rules are not matched, the order source store does not belong to a sales promotion activity store or the order creation time is not in the activity validity period;
and the screening module is used for screening out the daily monitoring rule with the highest monitoring dimension priority as the target monitoring rule when more than two daily monitoring rules are matched.
In one embodiment, the screening module is configured to perform the steps of:
identifying the rule with the smallest dimension range for the commodity in the matched daily monitoring rules;
If only one rule with the smallest dimension range of the commodity is in the matched daily monitoring rules, determining the rule as the target monitoring rule;
and if more than two matched daily monitoring rules are used for aiming at the rule with the smallest commodity dimension range, identifying the rule with the smallest commodity channel dimension range in the daily monitoring rules with the smallest commodity dimension range, and determining the rule as the target monitoring rule.
In one embodiment, the second determination module is configured to perform the steps of:
determining a minimum discount according to the target monitoring rule;
Calculating a minimum settlement price according to the selling price in the price information and the minimum discount;
And if the settlement price in the price information is lower than the lowest settlement price, judging that the price information is abnormal.
In one embodiment, the data acquisition module is configured to perform the steps of:
and generating commodity order data corresponding to the order before acquiring the preset time delay from the order system.
The division of each module in the automatic commodity price monitoring device is only used for illustration, and in other embodiments, the automatic commodity price monitoring device may be divided into different modules according to the needs, so as to complete all or part of the functions of the automatic commodity price monitoring device. The modules in the automatic commodity price monitoring device can be realized in whole or in part by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, the present application also provides a storage medium having stored therein computer readable instructions, which when executed by one or more processors, cause the one or more processors to perform the method for automatically monitoring commodity prices according to any of the embodiments described above.
In one embodiment, the present application further provides a computer device, where computer readable instructions are stored, and when the one or more processors execute the computer readable instructions, the method for automatically monitoring a commodity price according to any of the foregoing embodiments is executed.
Illustratively, in one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in FIG. 3. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by a processor implements a method for automatically monitoring the price of goods.
It will be appreciated by those skilled in the art that the structure shown in FIG. 3 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magneto-resistive random access Memory (Magnetoresistive RandomAccess Memory, MRAM), ferroelectric Memory (Ferroelectric RandomAccess Memory, FRAM), phase change Memory (PHASE CHANGE Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (RandomAccess Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in various forms such as static random access memory (Static RandomAccess Memory, SRAM) or dynamic random access memory (Dynamic RandomAccess Memory, DRAM), etc. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the present specification, each embodiment is described in a progressive manner, and each embodiment focuses on the difference from other embodiments, and may be combined according to needs, and the same similar parts may be referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An automatic commodity price monitoring method, comprising:
acquiring commodity order data;
determining an order source shop, commodity identification information, price information and order creation time according to the commodity order data;
identifying whether the order source store belongs to a promotional program store;
if the activity duration belongs to the preset time, determining an activity validity period;
judging whether the order creation time is within the activity validity period;
If the sales promotion program is in the activity validity period, matching corresponding target monitoring rules according to the sales promotion program level, the commodity identification information and the order source store;
judging whether the price information is abnormal or not based on the target monitoring rule;
and if the price information is judged to be abnormal, marking the commodity order data as an abnormal order.
2. The method of claim 1, wherein the matching the corresponding target monitoring rule according to the promotional program level, the product identification information, and the order source store if the product is in the program expiration date comprises:
If the order source shops are simultaneously in the activity validity periods of a plurality of sales promotion activities, determining the activity level of each sales promotion activity respectively;
matching corresponding activity monitoring rules according to the commodity identification information and the order source store;
if more than two activity monitoring rules are matched, screening out the activity monitoring rule with the highest monitoring dimension priority;
If only one activity monitoring rule with the highest monitoring dimension priority is selected, determining the selected activity monitoring rule as the target monitoring rule;
And if more than two activity monitoring rules with highest monitoring dimension priority are selected, determining the activity monitoring rule with highest activity level under the monitoring dimension as the target monitoring rule.
3. The automatic monitoring method for commodity prices according to claim 2, wherein said screening out the activity monitoring rule with the highest monitoring dimension priority comprises:
identifying the rule with the smallest dimension range for the commodity in the matched activity monitoring rules;
If only one rule with the smallest commodity dimension range is selected from the matched activity monitoring rules, determining the rule as the activity monitoring rule with the highest priority;
And if more than two matched activity monitoring rules are used for aiming at the rule with the smallest commodity dimension range, identifying the rule with the smallest commodity channel dimension range in the activity monitoring rules with the smallest commodity dimension range, and determining the rule as the activity monitoring rule with the highest priority.
4. The automatic commodity price monitoring method according to claim 2, further comprising:
if the commodity identification information is not matched with the activity monitoring rule, the order source store does not belong to a sales promotion store or the order creation time is not in the activity validity period, matching the corresponding daily monitoring rule according to the commodity identification information and the order source store;
And if the daily monitoring rules are matched with more than two daily monitoring rules, screening out the daily monitoring rule with the highest monitoring dimension priority as the target monitoring rule.
5. The method for automatically monitoring the price of goods according to claim 4, wherein the screening out the daily monitoring rule with the highest monitoring dimension priority as the target monitoring rule comprises:
identifying the rule with the smallest dimension range for the commodity in the matched daily monitoring rules;
If only one rule with the smallest dimension range of the commodity is in the matched daily monitoring rules, determining the rule as the target monitoring rule;
and if more than two matched daily monitoring rules are used for aiming at the rule with the smallest commodity dimension range, identifying the rule with the smallest commodity channel dimension range in the daily monitoring rules with the smallest commodity dimension range, and determining the rule as the target monitoring rule.
6. The automatic commodity price monitoring method according to claim 1, wherein said determining whether the price information is abnormal based on the target monitoring rule comprises:
determining a minimum discount according to the target monitoring rule;
Calculating a minimum settlement price according to the selling price in the price information and the minimum discount;
And if the settlement price in the price information is lower than the lowest settlement price, judging that the price information is abnormal.
7. The method for automatically monitoring the price of goods according to claim 1, wherein the acquiring the order data of goods comprises:
and generating commodity order data corresponding to the order before acquiring the preset time delay from the order system.
8. An automatic commodity price monitoring device, comprising:
The data acquisition module is used for acquiring commodity order data;
The data extraction module is used for determining an order source shop, commodity identification information, price information and order creation time according to the commodity order data;
the identification module is used for identifying whether the order source store belongs to a sales promotion store or not;
the validity period determining module is used for determining the validity period of the campaign when the order source store belongs to a sales promotion campaign store;
The first judging module is used for judging whether the order creation time is within the activity validity period or not;
The matching module is used for matching corresponding target monitoring rules according to the promotion activity level, the commodity identification information and the order source store when the order creation time is in the activity validity period;
The second judging module is used for judging whether the price information is abnormal or not based on the target monitoring rule;
And the abnormality marking module is used for marking the commodity order data as an abnormal order when judging that the price information is abnormal.
9. A storage medium, characterized by: the storage medium having stored therein computer readable instructions which, when executed by one or more processors, cause the one or more processors to perform the steps of the automatic commodity price monitoring method according to any one of claims 1 to 7.
10. A computer device, comprising: one or more processors, and memory;
The memory has stored therein computer readable instructions which, when executed by the one or more processors, perform the steps of the automatic commodity price monitoring method according to any one of claims 1 to 7.
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| CN202410394907.4A CN118195666A (en) | 2024-04-02 | 2024-04-02 | Automatic commodity price monitoring method and device, storage medium and computer equipment |
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