CN108629467B - Sample information processing method and system - Google Patents
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Abstract
The embodiment of the invention discloses a sample information processing method and a sample information processing system, which relate to the technical field of computers and can reduce the operation cost in the management process of a prototype. The invention comprises the following steps: receiving a sample application message sent by a sample terminal, wherein the sample application message is at least used for identifying the commodity category and the quantity of a sample; detecting whether the sample application message conforms to a preset rule, wherein the preset rule comprises: sampling rules, store information, supplier information and contract information; and if so, generating a transfer message according to the sampling application message, and sending the transfer message to a purchasing platform. The invention is suitable for sample information processing in retail enterprises.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a sample information processing method and system.
Background
At present, the traditional physical storefront in China still adopts a business mode of foreground sample display plus shopping guide, and as customers can use and experience commodities at the first time, the traditional physical storefront still occupies a place in the retail industry today when an online shopping platform is rapidly developed. In this case, the loss of the sample commodity consumes a large part of the business cost, and particularly in the market of home appliances, luxury goods, electronic devices, and the like, the commodity itself is expensive and the cost due to the loss of the commodity is extremely high.
However, the current product management method still adopts: store staff such as store managers and store employees carry out on-site manual management and periodically declare a mode of obtaining samples to a head office. Among them, due to various human factors such as low artificial efficiency, missing report, hidden report, false report, etc., the problems of sample redundancy, sample inventory and account are not real, etc., which directly causes the low effectiveness of the sample and increases the operation cost.
Disclosure of Invention
The embodiment of the invention provides a sample information processing method and a sample information processing system, which can reduce the operation cost in the management process of a prototype.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides a method, including:
receiving a sampling application message sent by a sampling terminal, wherein the sampling application message is at least used for identifying the commodity category and the quantity of a sample;
detecting whether the sample application message conforms to a preset rule, wherein the preset rule comprises: sampling rules, store information, supplier information and contract information;
and if so, generating a transfer message according to the sampling application message, and sending the transfer message to a purchasing platform.
With reference to the first aspect, in a first possible implementation manner of the first aspect, the store information includes: store code, store status, store area, floor, and store level;
the supplier information includes: supplier basic information;
the contract information includes: contract information with the supplier;
the sample output rule comprises: the upper limit of the brand sku, the upper limit of the category sku, the total sample output quantity, the sample output cost, the commodity series and the sample output area.
With reference to the first aspect, in a second possible implementation manner of the first aspect, the detecting whether the sampling application message meets a preset rule includes:
extracting data to be detected from the sample application message, wherein the data to be detected comprises at least one of store information, supplier information and contract information;
and detecting whether the data to be detected has a part which does not meet the sampling rule, and if so, judging that the sampling application message does not meet the preset rule.
With reference to the first aspect, in a third possible implementation manner of the first aspect, the generating a transfer message according to the sampling application message, and sending the transfer message to a purchasing platform includes:
determining the categories and the quantity of commodities needing sampling according to the sampling application message, and generating the transfer message;
after the transfer message is sent to the purchasing platform, the purchasing platform transfers samples according to the commodity types and the quantity of the samples to be taken.
With reference to the third possible implementation manner of the first aspect, in a fourth possible implementation manner, the method further includes:
and after the transfer message is sent to the purchasing platform, the purchasing platform sends an order message to an inventory system, wherein the order message is used for triggering the inventory system to execute an ex-warehouse process according to the commodity category and quantity needing to be sampled, and logistics transportation is carried out to the store pointed by the sampling application message.
With reference to the first aspect, in a fifth possible implementation manner of the first aspect, the method further includes:
according to the sampling application message, determining inventory information and sales information of a sample corresponding to the sampling application message in a store pointed by the sampling application message;
according to the inventory information and the sales information of the store pointed by the sampling application message, carrying out sampling validity analysis on the sample corresponding to the sampling application message, and obtaining an analysis result;
and sending the analysis result to the sample output terminal.
With reference to the fifth possible implementation manner of the first aspect, in a sixth possible implementation manner, the performing, according to the inventory information and the sales information of the store to which the sampling application message points, sampling validity analysis on the sample corresponding to the sampling application message to obtain an analysis result includes:
aiming at the sample corresponding to the sample application message:
determining a commodity series corresponding to the sample according to the inventory information of the store pointed by the sampling application message, wherein the commodity series comprises at least one commodity sold in the store pointed by the sampling application message;
obtaining a statistical result according to the sales information of the store to which the sampling application message points, wherein the statistical result comprises: a ratio of sales of individual ones of the series of items to a total sales of the series of items;
and analyzing the effectiveness of the sample corresponding to the commodity series according to the statistical result, and obtaining the analysis result.
With reference to the sixth possible implementation manner of the first aspect, in a seventh possible implementation manner, the analysis result includes at least one of the following:
in each sales cycle, there is both the sample and the series of items for the sales record;
and, in the series of commodities for which both the sample and the sales record exist, the number of samples is greater than 1;
and, a series of goods for which the sample is present but no sales record exists;
and, in the commercial product series in which the sample is present but no sales record is present, the commercial product series in which the number of samples is greater than 1.
In a second aspect, an embodiment of the present invention provides a system, including:
the sample output terminal is used for sending a sample output application message to the analysis server, wherein the sample output application message is at least used for identifying the commodity category and the quantity of the sample;
the analysis server is used for detecting whether the sampling application message accords with a preset rule or not after receiving the sampling application message sent by the sampling terminal, wherein the preset rule comprises the following steps: sampling rules, store information, supplier information and contract information;
the analysis server is also used for generating a transfer message according to the sampling application message and sending the transfer message to a purchasing platform;
and the purchasing platform is used for allocating samples to the stores pointed by the sample-taking application message according to the allocation message sent by the analysis server.
With reference to the second aspect, in a first possible implementation manner of the second aspect, the analysis server is specifically configured to extract data to be detected from the sampling application message, where the data to be detected includes at least one of the store information, the provider information, and the contract information; detecting whether the data to be detected has a part which does not meet the sampling rule, if so, judging that the sampling application message does not meet the preset rule;
the analysis server is specifically further configured to determine the categories and the quantities of the commodities needing to be sampled according to the sampling application message, and generate the transfer message;
after the transfer message is sent to the purchasing platform, the purchasing platform transfers samples according to the commodity types and the quantity required to be sampled; the store information includes: store code, store status, store area, floor, and store level; the supplier information includes: supplier basic information; the contract information includes: contract information with the supplier; the sample output rule comprises: brand sku upper limit, category sku upper limit, total number of sample-outs, cost of sample-outs, commodity series, and area of sample-outs.
With reference to the second aspect or the first possible implementation manner of the second aspect, in a second possible implementation manner, the method further includes:
the purchasing platform is also used for sending order information to the inventory system;
and the inventory system is used for executing the ex-warehouse process according to the order message and the type and the quantity of the goods needing to be sampled, and carrying out logistics transportation to the store pointed by the sampling application message.
With reference to the second aspect or the first possible implementation manner of the second aspect, in a third possible implementation manner, the analysis server is further configured to determine, according to the sampling application message, inventory information and sales information of a store to which the sampling application message points of a sample corresponding to the sampling application message; according to the inventory information and the sales information of the store to which the sample-drawing application message points, carrying out sample-drawing effectiveness analysis on the sample corresponding to the sample-drawing application message, and obtaining an analysis result; and then sending the analysis result to the sampling terminal.
Wherein, the analysis server is specifically configured to: aiming at the sample corresponding to the sample application message: determining a commodity series corresponding to the sample according to the inventory information of the store pointed by the sampling application message; then obtaining a statistical result according to the sales information of the store pointed by the sampling application message; then, the effectiveness of the sample corresponding to the commodity series is analyzed according to the statistical result, and the analysis result is obtained;
wherein the series of commodities includes at least one commodity sold in a store to which the sampling request message is directed, and the statistical result includes: a ratio of sales of individual ones of the series of items to a total sales of the series of items;
the analysis results include at least one of: in each sales cycle, there is both the sample and the series of items for the sales record; and, of the commercial series where both the sample and the sales record exist, the commercial series where the number of samples is greater than 1; and, a series of goods for which the sample is present but no sales record exists; and, in the commercial product series in which the sample is present but no sales record is present, the commercial product series in which the number of samples is greater than 1.
According to the sample information processing method and system provided by the embodiment of the invention, the sample application message sent by the sample terminal and the extracted preset rule are used for automatically generating the transfer message, and the transfer message is sent to the purchasing platform, so that the automatic processing and automatic transfer of the sample declaration information are completed. The problems of sample redundancy, sample inventory and unrealistic account and the like caused by human factors in the prior art are solved, so that the effectiveness of the used samples is improved, and the operating cost is reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 and 2 are schematic diagrams illustrating an architecture of a sample information processing system according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a sample information processing method according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the present invention will be described in further detail with reference to the accompanying drawings and specific embodiments. Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention. As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or coupled. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items. It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The embodiment of the present invention may be specifically implemented in a system as shown in fig. 1, wherein:
the analysis server may specifically be a separately made server device, such as: rack, blade, tower or cabinet type server equipment, or hardware equipment with strong computing power such as workstations and large computers; or may be a server cluster consisting of a plurality of server devices. The analysis server is used for executing the method flow provided by the embodiment, such as: receiving a sample application message sent by a sample terminal through a wireless network or the Internet, detecting whether the sample application message accords with a preset rule, generating a transfer message and sending the transfer message to a purchasing platform or an inventory system.
The purchasing platform may specifically be an online platform for purchasing services such as online transaction services or logistics services, in this embodiment, both the system or the platform for commodity circulation may be referred to as a purchasing platform, and may include but are not limited to: the system comprises an online shopping platform, an order processing system, an order query system, a commodity parameter library, a commodity price library, a commodity information library, an inventory system and the like.
In this embodiment, the sampling terminal may specifically be a store terminal (for example, a computer device disposed in a store, where the computer device in the store is connected to the analysis server via the internet), a purchasing terminal (for example, a computer device disposed in a purchasing warehouse or a purchasing center, and connected to the analysis server via the internet) or another terminal device accessing the system shown in fig. 1,
the sample output terminal may be implemented as a single system, and may be specifically set in a store, for example: a smart phone, a Tablet Personal Computer (Tablet Personal Computer), a Laptop Computer (Laptop Computer), a Personal Digital Assistant (PDA) or a Personal Computer (PC) of a shop assistant, etc.
Generally, the analysis server and each purchasing platform can be connected with a database system, and the database system can be a server device which is independently made and used for managing and storing data, or a server cluster which is composed of a plurality of server devices. And operating a database corresponding to the analysis server and each purchasing platform on hardware equipment of the database system, and managing and storing data of the analysis server and each purchasing platform. Specifically, a commonly used mesh Database (Network Database), a Relational Database (Relational Database), a tree Database (Hierarchical Database), an Object-oriented Database (Object-oriented Database), and a new-generation big data system architecture may be adopted.
Further, as shown in fig. 2, the purchasing platform may also be connected to an inventory system through a network, and the inventory system is configured to analyze and process the order sent by the purchasing platform, and generate a corresponding express task or a transfer task according to the order, thereby completing transportation of the goods serving as the sample from the warehouse to the store.
An embodiment of the present invention provides a sample information processing method, as shown in fig. 3, including:
and S1, receiving the sampling application message sent by the sampling terminal.
In practical applications, a part of the goods is usually placed on a table for display in each store, and the goods for display in the stores can be referred to as samples. In this embodiment, the sample is substantially a portion of the product stored in the store, such as: in this embodiment, commodities of the same type (including color, style, model, and the like) may be bound into a commodity series, where a commodity series includes commodities of one or more models of the same brand, such as: the smart phones of the same brand include a plurality of models such as model 5, model 5S, model 6S and the like. Then one or several commodities can be configured as a sample for a commodity series, such as: in a counter selling the same smart phone, one mobile phone of each of the model 5 and the model 6 is displayed on the counter as a sample in the sold model 5, model 5S, model 6 and model 6S.
In the sample application message described in this embodiment, identification identifiers (such as a product number, an SKU (Stock Keeping Unit) identifier of a product, and the like) and quantities of products serving as samples are recorded, so that the sample application message is at least used for identifying the product type and quantity of the sample.
And S2, detecting whether the sampling application message conforms to a preset rule.
Wherein the preset rule comprises: rule models for performing analytical tests, such as: sampling rules are carried out; and the preset rule comprises: information used to perform analytical tests, such as: store information, supplier information, contract information, and other dimensions.
In this embodiment, the store information may specifically be: store codes, store states, store areas, floors, store levels and other information;
the supplier information may specifically be: vendor basic information such as: identification information such as the name and code of a supplier of the specific one or more commodities, the supply coverage range of the supplier and the like;
the contract information may specifically be: the contract information entered into with the supplier may specifically be contract text data, or may be information extracted from the contract text data, such as specific date information, type of subject matter, quantity information, and the like.
The sample output rule comprises: threshold decision rules or screening rules, such as: the method comprises the steps of judging rules based on brand sku upper limits, category sku upper limits and sample output total numbers, screening rules based on sample output cost, commodity series and sample output area and the like.
And S3, if yes, generating a transfer message according to the sampling application message, and sending the transfer message to a purchasing platform.
And if not, rejecting the sample application message and sending a reject message to the sample terminal.
According to the sample information processing method provided by the embodiment of the invention, the sample application message sent by the sample terminal and the extracted preset rule are used for automatically generating the transfer message, and the transfer message is sent to the purchasing platform, so that the automatic processing and automatic transfer of the sample declaration information are completed. The problems of sample redundancy, sample inventory and account incompact and the like caused by human factors in the prior art are alleviated, so that the effectiveness of the used samples is improved, and the operating cost is reduced.
In this embodiment, the step S2: detecting whether the sampling application message conforms to a preset rule, specifically comprising:
and extracting the data to be detected from the sampling application message. And detecting whether the data to be detected has a part which does not meet the sampling rule, if so, judging that the sampling application message does not meet the preset rule.
Wherein the data to be detected comprises at least one of the store information, the supplier information and the contract information.
The part that does not satisfy the sampling rule may be understood as specific contents in the store information, the provider information, and the contract information, and there is a part that does not conform to specific parameters in the sampling rule, for example: if the blacklist included in the sampling rule includes a store code of the physical store front from which the sampling application message is issued, it is determined that "there is a portion that does not satisfy the sampling rule".
For another example: the sample output rule comprises a grade authority list, wherein information such as store grades with different grades or authorities and the like, specific grades or authorities of stores are recorded, and the different grades or authorities correspond to different types and different quantities of commodities. The setting may be performed according to information such as a store state, a store area, or a floor, and after obtaining a corresponding level or authority of the physical store according to the store code of the physical store from which the sampling application message is issued, the type or number of the product requested by the sampling application message as a sample is detected to determine whether the product meets the corresponding level or authority of the physical store, and if not, it is determined that "there is a portion that does not meet the sampling rule".
For another example: and detecting the position of the store which sends the sampling application message, determining whether the position meets the supplier supply coverage range of the commodity which is requested by the sampling application message and is used as a sample, and if the position does not meet the supplier supply coverage range, determining that the part which does not meet the sampling rule exists.
For another example: according to contract information, determining a commodity which is requested by the sample application message and is used as a sample, a corresponding supplier, acquiring contract information corresponding to the supplier, detecting whether the commodity which is requested by the sample application message and is used as the sample is consistent with information extracted from contract text data, such as specific date information, the type and quantity information of a target object, and the like, and judging that 'a part which does not meet the sample application rule exists' if the commodity is inconsistent with the information.
In this embodiment, the step S3: generating a transfer message according to the sampling application message, and sending the transfer message to a purchasing platform, wherein the transfer message specifically comprises:
and determining the categories and the quantity of the commodities needing sampling according to the sampling application message, and generating the transfer message.
The transfer message is used for recording the commodity category and the quantity of samples to be taken out, so that samples can be taken out by the purchasing platform according to the commodity category and the quantity of the samples to be taken out after the transfer message is sent to the purchasing platform. Optionally, the purchasing platform may also perform a purchasing operation according to the transfer message.
Optionally, in this embodiment, the method further includes:
and after the transfer message is sent to the purchasing platform, the purchasing platform sends an order message to an inventory system.
For example: the purchasing platform can purchase, transfer or move the required sample from the warehouse according to the transfer message. The order message is used for triggering the inventory system to execute the warehouse-out process according to the commodity category and the quantity which need to be sampled, and the warehouse system carries out logistics transportation to the store to which the sampling application message points.
Further, in this embodiment, the method further includes:
and according to the sample application message, determining the inventory information and the sales information of the sample corresponding to the sample application message in the store pointed by the sample application message.
The inventory information specifically includes inventory amounts of the commodities in the physical storefronts, and the sales information specifically includes sales amounts and sales amounts of the commodities.
And according to the inventory information and the sales information of the store to which the sample-drawing application message points, carrying out sample-drawing effectiveness analysis on the sample corresponding to the sample-drawing application message, and obtaining an analysis result.
Specifically, the analysis result can be output to the sample output terminal and displayed. And displaying dimension data of the category, the brand, the time, the sales volume and the like in the analysis result by a display device connected with the sampling terminal.
Specifically, before performing the validity analysis, the inventory information and the sales information may be preprocessed, for example:
1. the sales of the commodities are collected according to the sales conditions of the commodities at different places (stores) in different sales cycles, and the commodities are classified into the commodities of the A type, the B type and the C type according to the order of the sales volume from large to small.
2. According to the sales principle (the sales principle specifically includes the principle that the sales and operation modes of the stores are regulated, such as the main commodity category, the stocking period or the sales index of one store) of each store, the stores are distinguished, for example: store group capable of customizing various categories
3. The floor distribution area where different kinds of commodities are planned and sampled in a store (when a sample is arranged for one commodity or one series of commodities, this may be referred to as sampling for the commodity or the series of commodities), the commodity group brand, the brand SKU upper limit, the number of samples of the same brand (that is, the total number of samples arranged for the same brand), the sample cost, and the like.
After effectiveness analysis is carried out, reference can be made according to a sampling plan and goods shop, and the sampling place, the sampling policy and the adjusting process of the goods are determined, so that the purposes of driving sales and saving cost are achieved. And generating a sample commodity detail report including a sample policy, a sample quantity, a supplier, a point deduction and the like according to the inventory information and the change condition of the sales information in the sales cycle. And then the effectiveness and the performance of commodity sampling are comprehensively analyzed by combining the commodity series, the sampling list and the commodity sales condition.
In this embodiment, the specific manner of the effectiveness analysis may include:
aiming at the sample corresponding to the sample application message:
and determining the commodity series corresponding to the sample according to the inventory information of the store to which the sampling application message points. And then obtaining a statistical result according to the sales information of the store pointed by the sampling application message. And then, analyzing the effectiveness of the sample corresponding to the commodity series according to the statistical result, and obtaining the analysis result.
Wherein the series of articles includes at least one article sold in the store to which the sampling application message is directed. The statistical result comprises: the sales of each item in the series of items is a proportion of the total sales of the series of items.
For example: the analyzed commodities were classified into A, B, C three categories, so called ABC analysis: the A type is the best commodity sold at a certain place in the period and accounts for 70-80% of the total sales. The B type is the commodity which is sold in a flat way at a certain position in the period and accounts for 10 to 15 percent of the total sales. The C type is a commodity with long tail at a certain position in the period and accounts for 0-5% of the total sales. The management method has the obvious advantages that the important few commodities are distinguished from the unimportant most commodities, so that enterprises focus on the important few commodities, the management is enhanced, and the cost is saved. Take a smart phone using an iOS system as an example: the communication division adopts and sells ABC rules for maintaining mobile phone brands as follows: 0 to 80 percent. B: 80 to 95 percent. C: 95% -100%, namely, A is defined as 80% of sales, B is defined as 15% of sales, and C is defined as 5% of sales. According to online and offline sales data of the sampled commodities, counting A, B and C in different periods of different places according to ABC rules, and if the sales of the model 7 in the Nanjing large area is classified as A, the sales of the model 6 is classified as B, and the sales of the model 5s is classified as C, namely, the fact that the best overall sales of the model 7 in the Nanjing large area is explosive money, the sales of the model 6 is flat sales, and the sales of the model 5s is long-tail sale, whether the sampling strategy can be adjusted or not is considered: most samples of Nanjing large-area model 5s are collected, more samples are put on the line for sale, more sample-taking resources are concentrated on commodities with high purchase degree of consumers, such as model 7, and the samples are put in to enhance the experience of pulling the line for sale of stores.
Specifically, the analysis result includes at least one of the following:
in each sales cycle, there is both the sample and the series of items for the sales record.
And, in the commercial product series where both the sample and the sales record exist, the commercial product series where the number of samples is greater than 1.
And, a commercial series in which the sample is present but no sales records are present.
And, in the commercial product series in which the sample is present but no sales record is present, the commercial product series in which the number of samples is greater than 1.
For example: in the analysis process, data such as the number of samples, sales volume and the like of a certain commodity or a certain commodity series are obtained firstly, then the corresponding series is found through the commodity, the number of the sample series is counted, the number of the sample series is sold, the number of the sample series is repeatedly output, and the number of the sample series is repeatedly output without being sold, so that a key sample output performance index is obtained: the ratio of the available sample to the available sample, the ratio of the single sample to the available sample, the ratio of the repeated sample series and the ratio of the repeated sample series to the unavailable sample series. Wherein:
there are also available numbers of sales lines, which indicate: both the number of lines to be sold and the number of samples to be produced;
the number of replicate series, expressed as: the series is a sample outlet series, and if the sample outlet exceeds 1 set, the series is a repeated sample outlet series;
duplicate runs were given as no-sales lines, and are shown: the series is repeated, and all commodities under the series are not sold;
there is a good share of the market, representing: the number of sold series/number of output series x 100% (if the denominator is 0, the value is 0) is used for measuring the sales efficiency generated by the type of output sample;
the individual sample sale ratio represents: the sales volume of the single product/the number of the single product samples is 100 percent (if the denominator is 0, the value is 0), and the sales volume is used for measuring how many sales can be generated by the single product;
the ratio of the repeated sample series is shown as follows: repeat out series number/out series number 100%;
the ratio of the repeated samples without sales series is shown as follows: duplicate run no-sold series/run 100%.
For example: taking a smart phone using an iOS system as an example, for example, model 7s, model 6 and model 6s are bound to be a commodity series, one model 7, two models 7s, model 7 sales 50, model 7s no sales, and no other two models are sold, so that the series is a sample-available and repeated sample-available and sales series, and when a sample-available sales ratio is counted (number of sample-available sales series/number of sample-available series + 100%), the calculation can be uniformly used as a numerator without considering sample-available effectiveness by four commodities respectively, so that the sales efficiency generated by measuring the types of samples can be balanced, and the sample-available cost can be reduced. The single sample sale ratio of the model 7 and the model 7s can be independently seen: (sales volume of single product/number of single product output sample 100%), so 1 sample is output from 50 model 7 sales volume, 2 samples are output from 2 model 7s sales volume, the respective sales ratio of single sample is 5000% vs 100%, and the sales efficiency generated by the number of single product output samples can be measured, so that the model 7s can adjust the strategy of output samples, and more output sample resources can be input into the model 7 to increase sales. Meanwhile, the series can be calculated in the proportion of the repeated sample-out series (the number of the repeated sample-out series/the number of the sample-out series is 100 percent), and the number of sample-out stations can be reduced in consideration of sample-out cost.
Further, the analysis server may synchronously send advice information for different analysis results to the sample output terminal in the process of outputting and displaying the analysis results to the sample output terminal, for example:
for different situations, the recommendation information at least comprises the following contents:
there are also commercially available: the sales order and the stock are (the sales volume and the number of series samples of the commodity series to which the sample belongs under the selected dimension are more than or equal to 1); suggesting whether sample resources need to be added or not according to the sales classification;
no sample is sold: the sales order is not stored (no sample is sold, the sales volume of the commodity series of the sample under the selected dimension is more than or equal to 1, and the number of the samples taken in the series is 0;
and (3) no sale: the sales volume of the commodity series to which the sample belongs is 0 under the selected dimension, and the number of samples in the series is more than or equal to 1; suggesting to reduce sample output and selling on line;
no sample and no sale: the sales volume and the serial sample output number of the commodity series to which the sample belongs under the selected dimension are 0) and continuous sample output is recommended, and the sample is sold on line;
and giving out a sample proposal according to the performance analysis result, further adjusting a sample plan, forming a sample closed loop and providing a decision reference for the service.
By adopting the invention, the sampling cost of I selects to be reduced by 35.86 percent in 2016, and the sampling quantity is reduced
21.49%, the sampling effectiveness is improved by about 20%.
In the current manual sample planning and management process, the commodity lacks the support of data analysis in the sample planning and management process, a lot of data need to be manually analyzed and reported for data summarization, and the problems of sample management confusion, SKU redundancy and the like often occur. And the artificial sample efficiency analysis mode is to count the sample output effectiveness according to the single product dimension on line, lacks data analysis support, has high error rate of decision, and cannot comprehensively calculate the overall sample output effectiveness in enterprises, thereby easily causing the problems of redundant samples in the entity storefront and inconsistent actually used sample number and account. According to the embodiment of the invention, the sample application message sent by the sample terminal and the extracted preset rule are used for automatically generating the transfer message and sending the transfer message to the purchasing platform, so that the automatic processing and automatic transfer of the sample declaration information are completed. The problems of sample redundancy, sample inventory and account incompact and the like caused by human factors in the prior art are alleviated, so that the effectiveness of the used samples is improved, and the operating cost is reduced.
An embodiment of the present invention further provides a sample information processing system as shown in fig. 1, including:
the sample output terminal is used for sending a sample output application message to the analysis server, wherein the sample output application message is at least used for identifying the commodity category and the quantity of the sample;
the analysis server is configured to detect whether the sample application message conforms to a preset rule after receiving the sample application message sent by the sample terminal, where the preset rule includes: sampling rules, store information, supplier information and contract information;
the analysis server is also used for generating a transfer message according to the sample application message and sending the transfer message to a purchasing platform;
and the purchasing platform is used for carrying out sample allocation on the stores pointed by the sample application message according to the allocation message sent by the analysis server.
According to the sample information processing system provided by the embodiment of the invention, the sample application message sent by the sample terminal and the extracted preset rule are used for automatically generating the transfer message, and the transfer message is sent to the purchasing platform, so that the automatic processing and automatic transfer of the sample declaration information are completed. The problems of sample redundancy, sample inventory and account incompact and the like caused by human factors in the prior art are alleviated, so that the effectiveness of the used samples is improved, and the operating cost is reduced.
In this embodiment, the analysis server is specifically configured to extract data to be detected from the sampling application message, where the data to be detected includes at least one of the store information, the provider information, and the contract information; detecting whether the data to be detected has a part which does not meet the sampling rule, if so, judging that the sampling application message does not meet the preset rule;
the analysis server is specifically further configured to determine the categories and the quantities of the commodities needing to be sampled according to the sampling application message, and generate the transfer message;
after the transfer message is sent to the purchasing platform, the purchasing platform transfers samples according to the commodity types and the quantity required to be sampled; the store information includes: store code, store status, store area, floor, and store level; the supplier information includes: supplier basic information; the contract information includes: contract information signed with a supplier; the sample output rule comprises: the upper limit of the brand sku, the upper limit of the category sku, the total sample output quantity, the sample output cost, the commodity series and the sample output area.
Further, as shown in fig. 2, the method further includes:
the inventory system is used for executing a warehouse-out process according to the type and the quantity of the goods needing to be sampled according to the order message and carrying out logistics transportation to the store pointed by the sampling application message;
and the purchasing platform is also used for sending order information to the inventory system.
The analysis server is further configured to determine, according to the sampling application message, inventory information and sales credits of the sample corresponding to the sampling application message in the store to which the sampling application message is directed
Information is obtained; according to the inventory information and the sales information of the store to which the sample-drawing application message points, carrying out sample-drawing effectiveness analysis on the sample corresponding to the sample-drawing application message, and obtaining an analysis result; and then sending the analysis result to the sampling terminal.
Wherein, the analysis server is specifically configured to: aiming at the sample corresponding to the sample application message: determining a commodity series corresponding to the sample according to the inventory information of the store pointed by the sampling application message; then obtaining a statistical result according to the sales information of the store pointed by the sampling application message; then, the effectiveness of the sample corresponding to the commodity series is analyzed according to the statistical result, and the analysis result is obtained;
wherein the series of commodities includes at least one commodity sold in a store to which the sampling request message is directed, and the statistical result includes: the ratio of the sales of each commodity in the commodity series to the total sales of the commodity series;
the analysis results include at least one of: in each sales cycle, there is both the sample and the series of items for the sales record; and, in the series of commodities for which both the sample and the sales record exist, the number of samples is greater than 1; and, a series of goods for which the sample is present but no sales record exists; and, in the commercial product series in which the sample is present but no sales record is present, the commercial product series in which the number of samples is greater than 1.
In the current manual sample planning and management process, the commodity lacks the support of data analysis in the sample planning and management process, a lot of data needs to be manually analyzed and reported to summarize data, and the problems of disordered sample management, SKU redundancy and the like often occur. And the artificial sample efficiency analysis mode is to count the sample output effectiveness according to the single product dimension on line, lacks data analysis support, has high error rate of decision, and cannot comprehensively calculate the overall sample output effectiveness in enterprises, thereby easily causing the problems of redundant samples in the entity storefront and inconsistent actually used sample number and account. According to the embodiment of the invention, the sample application message sent by the sample terminal and the extracted preset rule are used for automatically generating the transfer message and sending the transfer message to the purchasing platform, so that the automatic processing and automatic transfer of the sample declaration information are completed. The problems of sample redundancy, sample inventory and account incompact and the like caused by human factors in the prior art are alleviated, so that the effectiveness of the used samples is improved, and the operating cost is reduced.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, it is relatively simple to describe, and reference may be made to some descriptions of the method embodiment for relevant points. The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (2)
1. A sample information processing method characterized by comprising:
receiving a sample application message sent by a sample terminal, wherein the sample application message is at least used for identifying the commodity category and the quantity of a sample;
detecting whether the sample application message conforms to a preset rule, wherein the preset rule comprises: sampling rules, store information, supplier information and contract information;
if the sampling application message meets the preset rule, generating a transfer message according to the sampling application message, and sending the transfer message to a purchasing platform;
further comprising: according to the sampling application message, determining inventory information and sales information of a sample corresponding to the sampling application message in a store pointed by the sampling application message; according to the inventory information and the sales information of the store to which the sample-drawing application message points, carrying out sample-drawing effectiveness analysis on the sample corresponding to the sample-drawing application message, and obtaining an analysis result; sending the analysis result to the sample output terminal;
preprocessing inventory information and sales information prior to performing the effectiveness analysis, including: according to the sales conditions of commodities in different stores in different sales cycles, carrying out commodity sales collection, and classifying the commodities according to the order of sales volumes from large to small; distinguishing stores according to the sales principle of each store; planning the sampling of different commodity types in a store, comprising: the distribution area of the floor where the sample is located, the brand of the commodity group, the upper limit of the inventory of the brand, the sample outlet quantity of the same brand and the sample cost;
the store information includes: store code, store status, store area, floor, and store level;
the supplier information includes: supplier basic information;
the contract information includes: contract information with the supplier;
the sample output rule comprises: the upper limit of brand stock, the upper limit of class stock, the total number of sample outlet, the sample outlet cost, the commodity series and the sample outlet area;
the detecting whether the sampling application message accords with a preset rule comprises the following steps:
extracting data to be detected from the sample application message, wherein the data to be detected comprises at least one of store information, supplier information and contract information;
detecting whether the data to be detected has a part which does not meet the sampling rule, if so, judging that the sampling application message does not meet the preset rule;
generating a transfer message according to the sampling application message, and sending the transfer message to a purchasing platform, wherein the transfer message comprises:
determining the categories and the quantity of commodities needing sampling according to the sampling application message, and generating the transfer message;
after the transfer message is sent to the purchasing platform, the purchasing platform transfers samples according to the commodity types and the quantity required to be sampled;
further comprising:
after the transfer message is sent to the purchasing platform, the purchasing platform sends an order message to an inventory system, wherein the order message is used for triggering the inventory system to execute an ex-warehouse process according to the category and the quantity of goods needing to be sampled, and logistics transportation is carried out on a store to which the out-sampling application message points;
the analyzing the sample-taking effectiveness of the sample corresponding to the sample-taking application message according to the inventory information and the sales information of the store to which the sample-taking application message points, and obtaining an analysis result includes:
determining a commodity series corresponding to a sample corresponding to the sampling application message according to inventory information of the store pointed by the sampling application message, wherein the commodity series comprises at least one commodity sold in the store pointed by the sampling application message;
obtaining a statistical result according to the sales information of the store to which the sampling application message points, wherein the statistical result comprises: a ratio of sales of individual ones of the series of items to a total sales of the series of items;
analyzing the effectiveness of the sample corresponding to the commodity series according to the statistical result, and obtaining the analysis result;
the analysis results include at least one of:
in each sales cycle, there is both the sample and the series of items for the sales record;
and, a commercial series in which the sample is present but no sales record exists.
2. A sample information processing system, comprising:
the sample output terminal is used for sending a sample output application message to the analysis server, wherein the sample output application message is at least used for identifying the commodity category and the quantity of the sample;
the analysis server is configured to detect whether the sample application message conforms to a preset rule after receiving the sample application message sent by the sample terminal, where the preset rule includes: sampling rules, store information, supplier information and contract information;
the analysis server is also used for generating a transfer message according to the sampling application message and sending the transfer message to a purchasing platform if the analysis server accords with a preset rule;
the purchasing platform is used for carrying out sample allocation to the store pointed by the sample-taking application message according to the allocation message sent by the analysis server;
further comprising: according to the sampling application message, determining inventory information and sales information of a sample corresponding to the sampling application message in a store pointed by the sampling application message; according to the inventory information and the sales information of the store pointed by the sampling application message, carrying out sampling validity analysis on the sample corresponding to the sampling application message, and obtaining an analysis result; sending the analysis result to the sample output terminal;
preprocessing inventory information and sales information prior to performing the effectiveness analysis, including: according to the sales conditions of commodities in different stores in different sales cycles, carrying out commodity sales collection, and classifying the commodities according to the order of sales volumes from large to small; distinguishing stores according to the sales principle of each store; planning the sampling of different commodity samples in a store, comprising: the distribution area of the floor where the sample is located, the brand of the commodity group, the upper limit of the inventory of the brand, the sample outlet quantity of the same brand and the sample cost;
the store information includes: store code, store status, store area, floor, and store level;
the supplier information includes: supplier basic information;
the contract information includes: contract information with the supplier;
the sample output rule comprises: the upper limit of brand stock, the upper limit of class stock, the total number of sample outlet, the sample outlet cost, the commodity series and the sample outlet area;
the detecting whether the sampling application message accords with a preset rule comprises the following steps:
extracting data to be detected from the sample application message, wherein the data to be detected comprises at least one of store information, supplier information and contract information;
detecting whether the data to be detected has a part which does not meet the sampling rule, if so, judging that the sampling application message does not meet the preset rule;
generating a transfer message according to the sampling application message, and sending the transfer message to a purchasing platform, wherein the transfer message comprises:
determining the categories and the quantity of commodities needing sampling according to the sampling application message, and generating the transfer message;
after the transfer message is sent to the purchasing platform, the purchasing platform transfers samples according to the commodity types and quantity required to be sampled;
further comprising:
after the transfer message is sent to the purchasing platform, the purchasing platform sends an order message to an inventory system, wherein the order message is used for triggering the inventory system to execute an ex-warehouse process according to the category and the quantity of goods needing to be sampled, and logistics transportation is carried out on a store to which the out-sampling application message points;
the analyzing the sample-taking effectiveness of the sample corresponding to the sample-taking application message according to the inventory information and the sales information of the store to which the sample-taking application message points, and obtaining an analysis result includes:
determining a commodity series corresponding to a sample corresponding to the sampling application message according to inventory information of the store pointed by the sampling application message, wherein the commodity series comprises at least one commodity sold in the store pointed by the sampling application message;
obtaining a statistical result according to the sales information of the store to which the sampling application message points, wherein the statistical result comprises the following steps: a ratio of sales of individual ones of the series of items to a total sales of the series of items;
analyzing the effectiveness of the sample corresponding to the commodity series according to the statistical result, and obtaining the analysis result;
the analysis results include at least one of:
in each sales cycle, there is both the sample and the series of items for the sales record;
and, a commercial series in which the sample is present but no sales records are present.
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| CN103279855A (en) * | 2013-06-09 | 2013-09-04 | 青岛农业大学 | Buying, selling and storing system of mobile phone marketing industry |
| WO2015182011A1 (en) * | 2014-05-26 | 2015-12-03 | 株式会社日立製作所 | Interregional supply adjustment device and program |
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| WO2015182011A1 (en) * | 2014-05-26 | 2015-12-03 | 株式会社日立製作所 | Interregional supply adjustment device and program |
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