Commodity sample distribution analysis method and device

Abstract

The invention provides a commodity sample distribution analysis method and device, and the method comprises the steps: obtaining the feedback information of a user for a sample distribution commodity and the repurchase behavior of the user for the sample distribution commodity from a door cabinet after obtaining that the user takes out the sample distribution commodity from the door cabinet in a sample distribution manner; and analyzing the feedback information of the sample delivery commodity and the repurchase behavior of the user on the sample delivery commodity, and determining the updated attribute value of the sample delivery commodity in the door cabinet. According to the feedback information of the sample delivery commodity and the repurchase behavior of the user on the sample delivery commodity, the sample delivery effect is comprehensively analyzed, so that the attribute value of the sample delivery commodity in the door opening cabinet is updated, and the sales volume of the sample delivery commodity is increased.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a commodity sampling analysis method and device. Background Art

[0002] Users receive samples of products from the sample distribution machine for trial use. If the user approves the product after the trial use, he or she will place an order to purchase the product. Since no feedback information on product samples can be obtained or the feedback information obtained is too little, no useful information can be analyzed. Summary of the invention

[0003] The present invention provides a commodity sampling analysis method and device, which are used to solve the defect that the existing technology cannot analyze useful information of commodity sampling, and obtain updated attribute values ​​of sampled commodities in an open-door cabinet by analyzing user data of commodity sampling.

[0004] The present invention provides a commodity sampling analysis method, comprising:

[0005] After obtaining that a user takes out a sampled product from an open door cabinet in a sampling manner, obtaining feedback information of the user on the sampled product and a repurchase behavior of the user on the sampled product from the open door cabinet;

[0006] The feedback information of the sampled goods and the repurchase behavior of the user on the sampled goods are analyzed to determine the updated attribute values ​​of the sampled goods in the open door cabinet.

[0007] According to a commodity sampling analysis method provided by the present invention, the feedback information of the sampled commodity and the repurchase behavior of the user on the sampled commodity are analyzed to obtain the updated attribute value of the sampled commodity in the open door cabinet, including:

[0008] Obtaining a favorable rating of the sampled product based on the user's feedback on the sampled product;

[0009] Determining the number of users who have repurchased the sampled product according to the user's repurchase behavior of the sampled product;

[0010] Determine the sales conversion rate of the sampled product according to the number of users who repurchase the sampled product and the number of users who take out the sampled product in a sampled manner;

[0011] According to the praise rate and sales conversion rate of the sampled goods, the updated attribute values ​​of the sampled goods in the open door cabinet are determined.

[0012] According to a commodity sampling analysis method provided by the present invention, determining updated attribute values ​​of the sampled commodities in the open door cabinet according to the favorable comment rate and sales conversion rate of the sampled commodities includes:

[0013] Determine a sampling activity participation rate of the sampled product according to the number of users who take out the sampled product in a sampling manner and the number of target reachable users of the sampled product;

[0014] According to the praise rate, sales conversion rate and sampling activity participation rate of the sampled products, the updated attribute values ​​of the sampled products in the open door cabinet are determined.

[0015] According to a commodity sampling analysis method provided by the present invention, the updated attribute values ​​of the sampled commodities in the open door cabinet are determined according to the favorable comment rate, sales conversion rate and sampling activity participation rate of the sampled commodities, including:

[0016] When the participation rate of the sample distribution activity is greater than the first preset threshold, the favorable comment rate of the sampled product is greater than the second preset threshold, and the sales conversion rate is greater than the third preset threshold, the number of aisles of sampled products in the open door cabinet is increased, and the price of the sampled product remains unchanged;

[0017] When the participation rate of the sampling activity is greater than the first preset threshold, the favorable comment rate of the sampled product is greater than the second preset threshold, and the sales conversion rate is less than or equal to the third preset threshold, the price of the sampled product in the open door cabinet is reduced;

[0018] When the participation rate of the sampling activity is greater than the first preset threshold, the favorable comment rate of the sampled product is less than or equal to the second preset threshold and greater than or equal to the fourth preset threshold, and the sales conversion rate of the sampled product is less than or equal to the third preset threshold and greater than or equal to the fifth preset threshold, the number of aisles of sampled products in the door-opening cabinet is reduced, and the sampled products are upgraded according to the feedback information, the fourth preset threshold is less than the second preset threshold, and the fifth preset threshold is less than the third preset threshold;

[0019] When the participation rate in the sampling activity is greater than the first preset threshold, the praise rate of the sampled goods is less than the fourth preset threshold, and the sales conversion rate is less than the fifth preset threshold, the sampled goods will no longer be placed in the open-door cabinet.

[0020] According to a commodity sampling analysis method provided by the present invention, the feedback information includes an evaluation of the sampled commodity, the evaluation includes an evaluation of one or more indicators of taste, flavor, packaging, touch and price of the sampled commodity, and the upgrading of the sampled commodity according to the feedback information includes:

[0021] Determine the favorable rating of each indicator according to the evaluation of each indicator of the sampled product;

[0022] The indicator for which the praise rate of the sampled goods is less than the sixth preset threshold is upgraded.

[0023] According to a commodity sampling analysis method provided by the present invention, the feedback information includes one or more of the user's basic information, behavior preference, demand preference, and brand awareness of the sampled commodity, and further includes:

[0024] Determine the distribution of each basic information of the user, the distribution of each behavior preference, the distribution of each demand preference, and the distribution of brand awareness;

[0025] The users to be sampled of the sampled goods are determined according to one or more of the distribution of each basic information of the users, the distribution of each behavior preference, the distribution of each demand preference and the distribution of brand awareness.

[0026] The present invention also provides a commodity sampling analysis device, comprising:

[0027] An acquisition module, for acquiring feedback information of the user on the sampled product and a repurchase behavior of the user on the sampled product from the open door cabinet after acquiring the sampled product taken out by the user from the open door cabinet in a sampling manner;

[0028] The analysis module is used to analyze the feedback information of the sampled goods and the user's repurchase behavior of the sampled goods, and determine the updated attribute values ​​of the sampled goods in the open door cabinet.

[0029] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, any of the above-mentioned commodity sampling analysis methods is implemented.

[0030] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the commodity sampling analysis method as described in any one of the above is implemented.

[0031] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the product sampling analysis method described above is implemented.

[0032] The commodity sampling analysis method and device provided by the present invention use an open-door cabinet with sampling and purchasing functions to obtain user feedback information on the sampled commodity and the user's repurchase behavior of the sampled commodity from the open-door cabinet after the user takes out the sampled commodity from the open-door cabinet in a sampling manner. Both types of information reflect the user's interest in the sampled commodity. The sampling effect is comprehensively analyzed based on the two types of information to update the attribute values ​​of the sampled commodity in the open-door cabinet and increase the sales of the sampled commodity. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0034] Figure 1 This is one of the flow charts of the commodity sampling analysis method provided by the present invention;

[0035] Figure 2 This is the second flow chart of the commodity sampling analysis method provided by the present invention;

[0036] Figure 3 It is a structural schematic diagram of the commodity sampling analysis device provided by the present invention;

[0037] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] Combine the following Figure 1 A commodity sampling analysis method of the present invention is described, comprising:

[0040] Step 101, after obtaining that a user takes out a sampled product from an open door cabinet in a sampling manner, obtaining feedback information of the user on the sampled product and the user's repurchase behavior of the sampled product from the open door cabinet;

[0041] The sample products are the products participating in the sample distribution activity, and the offline operation staff will go to the open door cabinet to put the sample products on the shelves.

[0042] like Figure 2As shown, the process of a user taking out sampled goods by sampling can be that after the user receives the sampled coupons through different channels, the user goes to the door-opening cabinet to scan the code and enters the application applet of the door-opening cabinet; the user sends the door-opening command to the door-opening cabinet through the application applet, the door lock of the door-opening cabinet is opened, and the user takes out the sampled goods corresponding to the sampled coupons and closes the door of the door-opening cabinet. The door-opening cabinet can use the gravity recognition method to automatically identify the sampled goods taken out by the user and create an order, and automatically cancel the use of the sampled coupons in the user's account if they meet the usage rules. Users can obtain sampled goods for free or at a lower price by sampling.

[0043] The door cabinet has a sampling function and a sales function. For example, a sampling area and a sales area can be set in the door cabinet. Sampled goods can be put on the shelves in the sampling area for sampling, and can also be put on the shelves in the sales area at the same time to realize the sales of sampled goods. The door cabinet can also be set up with only one area, and the sampled goods put on the shelves can be sampled and sold. This embodiment is not specifically limited.

[0044] According to the characteristics of the sampled goods and the user's historical consumption information on the door-opening cabinet, the target users can be screened and sample coupons can be distributed to the target users in a targeted manner. The historical consumption information includes the purchase quantity, frequency, time, type, joint situation and repurchase situation of the sampled goods.

[0045] Specifically, the location of the door cabinet can be obtained using LBS (Location Based Services), and the basic attributes of the user, such as gender, age, subject, and education level, can be determined based on the location of the door cabinet. For example, if the door cabinet is located in a liberal arts university, the corresponding basic attributes of the user can be inferred. The basic attributes and historical consumption information of the user are matched with the characteristics of the sampled goods, so as to screen out users who are interested in the sampled goods and distribute sampled coupons.

[0046] After the user takes out the sampled product for use, feedback information from the user after using the sampled product is obtained. The feedback information may include the user's evaluation of the sampled product after using the sampled product. The feedback information can be obtained by sending a feedback questionnaire to the user's mobile device for the user to fill out.

[0047] Since the open door cabinet has the functions of sample distribution and sales, after using the sampled goods, if the user is interested in the sampled goods, he can go to the open door cabinet again and buy back the sampled goods at the regular price.

[0048] Step 102: analyzing the feedback information of the sampled goods and the user's repurchase behavior of the sampled goods to determine the updated attribute values ​​of the sampled goods in the open door cabinet.

[0049] The feedback information of the sampled goods and the repurchase behavior of the users on the sampled goods are analyzed to update the sampled goods in the door cabinet. The update of the sampled goods may include the update of the type, quantity and price of the sampled goods.

[0050] The feedback information of the sampled products and the user's repurchase behavior of the sampled products can both reflect the user's interest in the sampled products. The attribute values ​​of the sampled products in the door-opening cabinet are updated based on the feedback information of the sampled products and the user's repurchase behavior of the sampled products.

[0051] For example, if the user is more interested in the sampled product, the number of aisles of the sampled product in the open door cabinet can be increased, thereby increasing the number of sampled products and keeping the price of the sampled product unchanged. If the user is less interested in the sampled product, the sampled product can be removed from the open door cabinet.

[0052] This embodiment uses an open door cabinet with sampling and purchasing functions. After the user takes out the sampled goods from the open door cabinet in a sampling manner, the feedback information of the user on the sampled goods and the user's repurchase behavior of the sampled goods from the open door cabinet are obtained. Both kinds of information reflect the user's interest in the sampled goods. The sampling effect is comprehensively analyzed based on the two kinds of information to update the attribute values ​​of the sampled goods in the open door cabinet and increase the sales of the sampled goods.

[0053] On the basis of the above embodiment, the feedback information of the sampled product and the user's repurchase behavior of the sampled product are analyzed in this embodiment to obtain the updated attribute values ​​of the sampled product in the door-opening cabinet, including:

[0054] Obtaining a favorable rating of the sampled product based on the user's feedback on the sampled product;

[0055] Determining the number of users who have repurchased the sampled product according to the user's repurchase behavior of the sampled product;

[0056] Determine the sales conversion rate of the sampled product according to the number of users who repurchase the sampled product and the number of users who take out the sampled product in a sampled manner;

[0057] According to the praise rate and sales conversion rate of the sampled goods, the updated attribute values ​​of the sampled goods in the open door cabinet are determined.

[0058] The feedback information of users on the sampled products includes positive feedback information and negative feedback information. Among them, the positive feedback information is the advantages pointed out by users on the sampled products, and the negative feedback information is the disadvantages pointed out by users on the sampled products. The number of positive feedback information of all users on the sampled products can be divided by the total number of feedback information of all users on the sampled products to obtain the favorable rate of the sampled products. The higher the favorable rate of the sampled products, the higher the user's interest in the sampled products.

[0059] The users who take out the sampled products in the sampling mode are regarded as the users who participate in the sampling activity. The number of repurchase users who repurchase the sampled products after participating in the sampling activity is counted, and the proportion of the number of repurchased users in the number of users participating in the sampling activity is regarded as the sales conversion rate of the sampled products, that is, sales conversion rate = number of repurchased users / number of users participating in the sampling activity. The higher the sales conversion rate, the higher the user's interest in the sampled products. The attribute value of the sampled products in the door cabinet is updated based on the favorable comment rate and sales conversion rate of the sampled products.

[0060] For example, when the rate of favorable comments on the sampled product is greater than the second preset threshold and the sales conversion rate is greater than the third preset threshold, it is known that users have a high level of interest in the sampled product, and the number of aisles for the sampled product in the open door cabinet is increased, while the price of the sampled product remains unchanged.

[0061] When the praise rate of the sampled goods is greater than the second preset threshold and the sales conversion rate is less than or equal to the third preset threshold, it is known that users are highly interested in the sampled goods, but the prices of the goods are high, resulting in a low sales conversion rate, and the prices of the sampled goods in the open door cabinet are reduced.

[0062] When the praise rate of the sampled goods is less than or equal to the second preset threshold and the sales conversion rate is less than or equal to the third preset threshold, it is known that users are less interested in the sampled goods, and the number of aisles for the sampled goods in the open door cabinet is reduced.

[0063] The favorable comment rate and sales conversion rate of the sampled goods can also be multiplied by the corresponding weights and then added together, and the updated attribute value of the sampled goods in the open door cabinet can be determined based on the added result. If the added result is greater than the set value, the number of aisles of the sampled goods in the open door cabinet will be increased, and the price of the sampled goods will remain unchanged. Otherwise, the number of aisles of the sampled goods in the open door cabinet will be reduced.

[0064] This embodiment obtains the praise rate and sales conversion rate of the sampled products. Both types of information reflect the user's interest in the sampled products. The sampling effect is comprehensively analyzed based on the two types of information to update the attribute values ​​of the sampled products in the door cabinet and increase the sales volume of the sampled products.

[0065] On the basis of the above embodiment, the method of determining the updated attribute value of the sampled product in the door cabinet according to the favorable comment rate and sales conversion rate of the sampled product in this embodiment includes:

[0066] Determine a sampling activity participation rate of the sampled product according to the number of users who take out the sampled product in a sampling manner and the number of target reachable users of the sampled product;

[0067] According to the praise rate, sales conversion rate and sampling activity participation rate of the sampled products, the updated attribute values ​​of the sampled products in the open door cabinet are determined.

[0068] The target number of users reached for a sampled product may be the number of users who have received the sampled coupons. The proportion of the number of users participating in the sampled product to the target number of users reached for the sampled product is taken as the sampled product participation rate, i.e., sampled product participation rate = number of users participating in the sampled product / target number of users reached. The higher the sampled product participation rate, the higher the user's interest in the sampled product.

[0069] The favorable comment rate, sales conversion rate and participation rate of sample products can be multiplied by the corresponding weights and then added together. The updated attribute value of the sample products in the open cabinet can be determined based on the added result. If the added result is greater than the set value, the number of aisles of sample products in the open cabinet will be increased, and the price of the sample products will remain unchanged. Otherwise, the number of aisles of sample products in the open cabinet will be reduced.

[0070] This embodiment obtains the praise rate, sales conversion rate and sampling activity participation rate of the sampled products. The three types of information reflect the user's interest in the sampled products. The sampling effect is comprehensively analyzed based on the three types of information to update the attribute values ​​of the sampled products in the door cabinet and increase the sales of the sampled products.

[0071] Based on the above embodiment, the method of determining the updated attribute values ​​of the sampled products in the door-opening cabinet according to the favorable comment rate, sales conversion rate and sampled activity participation rate of the sampled products in this embodiment includes:

[0072] When the participation rate of the sample distribution activity is greater than the first preset threshold, the favorable comment rate of the sampled product is greater than the second preset threshold, and the sales conversion rate is greater than the third preset threshold, the number of aisles of sampled products in the open door cabinet is increased, and the price of the sampled product remains unchanged;

[0073] When the participation rate of the sampling activity is greater than the first preset threshold, the favorable comment rate of the sampled product is greater than the second preset threshold, and the sales conversion rate is less than or equal to the third preset threshold, the price of the sampled product in the open door cabinet is reduced;

[0074] When the participation rate of the sampling activity is greater than the first preset threshold, the favorable comment rate of the sampled product is less than or equal to the second preset threshold and greater than or equal to the fourth preset threshold, and the sales conversion rate of the sampled product is less than or equal to the third preset threshold and greater than or equal to the fifth preset threshold, the number of aisles of sampled products in the door-opening cabinet is reduced, and the sampled products are upgraded according to the feedback information, the fourth preset threshold is less than the second preset threshold, and the fifth preset threshold is less than the third preset threshold;

[0075] When the participation rate in the sampling activity is greater than the first preset threshold, the praise rate of the sampled goods is less than the fourth preset threshold, and the sales conversion rate is less than the fifth preset threshold, the sampled goods will no longer be placed in the open-door cabinet.

[0076] When the participation rate of the sampling activity is greater than the first preset threshold, the praise rate of the sampled products is greater than the second preset threshold, and the sales conversion rate is greater than the third preset threshold, it is known that users have a high degree of interest in the sampled products, and the number of sampled products on display in the open door cabinet is increased, while the price of the sampled products remains unchanged.

[0077] When the participation rate in the sampling activity is greater than the first preset threshold, the praise rate of the sampled products is greater than the second preset threshold, and the sales conversion rate is less than or equal to the third preset threshold, it is known that users have a high degree of interest in the sampled products, but the prices of the products are high, resulting in a low sales conversion rate, and the prices of the sampled products in the open door cabinets are reduced.

[0078] When the participation rate of the sampling activity is greater than the first preset threshold, the favorable comment rate of the sampled product is less than or equal to the second preset threshold, greater than or equal to the fourth preset threshold, and the sales conversion rate of the sampled product is less than or equal to the third preset threshold, greater than or equal to the fifth preset threshold, it is known that there are many users participating in the sampling activity, but the users have a moderate level of interest in the sampled product after using it, the number of sampled products displayed in the door cabinet is reduced, and the sampled product is upgraded according to the feedback information. For example, if many users pointed out in the feedback information that the taste of the sampled product is sweet, the sweetness of the sampled product is reduced.

[0079] When the participation rate of the sampling activity is greater than the first preset threshold, the praise rate of the sampled products is less than or equal to the fourth preset threshold, and the sales conversion rate is less than or equal to the fifth preset threshold, it is known that there are many users participating in the sampling activity, but the users are not very interested in the sampled products after using them, and the sampled products are removed from the door opening cabinet.

[0080] This embodiment compares the praise rate, sales conversion rate and sampling activity participation rate of the sampled products with the corresponding preset thresholds to obtain the user's interest in the sampled products, updates the attribute values ​​of the sampled products in the door cabinet and upgrades the sampled products based on the comparison results, thereby increasing the sales volume of the sampled products.

[0081] On the basis of the above embodiment, the feedback information in this embodiment includes an evaluation of the sample product, and the evaluation includes an evaluation of one or more indicators of the taste, flavor, packaging, touch and price of the sample product. The upgrading of the sample product according to the feedback information includes:

[0082] Determine the favorable rating of each indicator according to the evaluation of each indicator of the sampled product;

[0083] The indicator for which the praise rate of the sampled goods is less than the sixth preset threshold is upgraded.

[0084] The user's evaluation of each indicator of the sampled product includes positive evaluation and negative evaluation. Among them, the positive evaluation is the advantages pointed out by the user on the indicator of the sampled product, and the negative evaluation is the disadvantages pointed out by the user on the indicator of the sampled product. The number of feedback information of all users' positive evaluations on each indicator of the sampled product can be divided by the total number of feedback information containing the evaluation of each indicator to obtain the favorable evaluation rate of each indicator of the sampled product. The higher the favorable evaluation rate of each indicator, the higher the user's interest in the sampled product.

[0085] For an indicator with a low favorable rating of a sampled product, the indicator of the sampled product may be upgraded with reference to the negative evaluation of the user on the indicator. For example, if the favorable rating of the taste of the sampled product is low, the taste of the sampled product may be upgraded with reference to the negative evaluation of the user on the taste of the sampled product.

[0086] This embodiment obtains the favorable rating of each indicator based on the evaluation of each indicator by users on the sampled products, and thereby upgrades each indicator of the sampled products in a targeted manner, thereby increasing the sales volume of the sampled products.

[0087] On the basis of the above embodiments, the feedback information in this embodiment includes one or more of the user's basic information, behavior preference, demand preference, and brand awareness of the sampled product, and also includes:

[0088] Determine the distribution of each basic information of the user, the distribution of each behavior preference, the distribution of each demand preference, and the distribution of brand awareness;

[0089] The users to be sampled of the sampled goods are determined according to one or more of the distribution of each basic information of the users, the distribution of each behavior preference, the distribution of each demand preference and the distribution of brand awareness.

[0090] The user's basic information includes the user's gender, city, age and school. The user's behavior preferences include consumption level and consumption frequency. The user's demand preferences include the user's taste preferences.

[0091] Feedback information is obtained by users after they take out sampled goods in a sampling manner. Therefore, feedback information is obtained by users who participate in the sampling activity. Users who participate in the sampling activity are more interested in the sampled goods.

[0092] This embodiment analyzes the feedback information of all users to obtain the user distribution of each feedback information. According to the value or range corresponding to the most distributed users in each feedback information, the users to be sampled whose corresponding information meets the value or range are screened out, and the sample coupons are sent to the users to be sampled, so as to achieve accurate push of sample coupons.

[0093] The commodity sampling analysis device provided by the present invention is described below. The commodity sampling analysis device described below and the commodity sampling analysis method described above can be referenced to each other.

[0094] like Figure 3 As shown, the commodity sampling analysis device includes an acquisition module 301 and an analysis module 302, wherein:

[0095] The acquisition module 301 is used to acquire feedback information of the user on the sampled product and the user's repurchase behavior of the sampled product from the open door cabinet after acquiring the sampled product taken out by the user from the open door cabinet in a sampled manner;

[0096] The analysis module 302 is used to analyze the feedback information of the sampled goods and the user's repurchase behavior of the sampled goods, and determine the updated attribute values ​​of the sampled goods in the open door cabinet.

[0097] This embodiment uses an open door cabinet with sampling and purchasing functions. After the user takes out the sampled goods from the open door cabinet in a sampling manner, the feedback information of the user on the sampled goods and the user's repurchase behavior of the sampled goods from the open door cabinet are obtained. Both kinds of information reflect the user's interest in the sampled goods. The sampling effect is comprehensively analyzed based on the two kinds of information to update the attribute values ​​of the sampled goods in the open door cabinet and increase the sales of the sampled goods.

[0098] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4 As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communication interface 420 and the memory 430 communicate with each other through the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the commodity sampling analysis method, which includes: after obtaining that a user takes out a sampled commodity from an open door cabinet in a sampling manner, obtaining the user's feedback information on the sampled commodity and the user's repurchase behavior of the sampled commodity from the open door cabinet; analyzing the feedback information of the sampled commodity and the user's repurchase behavior of the sampled commodity to determine the updated attribute value of the sampled commodity in the open door cabinet.

[0099] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0100] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the commodity sampling analysis method provided by the above-mentioned methods, the method including: after obtaining the user taking out the sampled commodity from the open door cabinet in a sampling manner, obtaining the user's feedback information on the sampled commodity and the user's repurchase behavior of the sampled commodity from the open door cabinet; analyzing the feedback information on the sampled commodity and the user's repurchase behavior of the sampled commodity to determine the updated attribute values ​​of the sampled commodity in the open door cabinet.

[0101] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the commodity sampling analysis method provided by the above-mentioned methods, the method comprising: after obtaining a user taking out a sampled commodity from an open door cabinet in a sampling manner, obtaining the user's feedback information on the sampled commodity and the user's repurchase behavior of the sampled commodity from the open door cabinet; analyzing the feedback information on the sampled commodity and the user's repurchase behavior of the sampled commodity to determine the updated attribute values ​​of the sampled commodity in the open door cabinet.

[0102] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0103] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0104] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A commodity sampling analysis method, characterized in that: include: After obtaining that a user takes out a sampled product from an open door cabinet in a sampling manner, obtaining feedback information of the user on the sampled product and a repurchase behavior of the user on the sampled product from the open door cabinet; The feedback information of the sampled goods and the repurchase behavior of the user on the sampled goods are analyzed to determine the updated attribute values ​​of the sampled goods in the open door cabinet.

2. The commodity sampling analysis method according to claim 1, characterized in that: The feedback information of the sampled products and the repurchase behavior of the user on the sampled products are analyzed to obtain updated attribute values ​​of the sampled products in the door-opening cabinet, including: Obtaining a favorable rating of the sampled product based on the user's feedback on the sampled product; Determining the number of users who have repurchased the sampled product according to the user's repurchase behavior of the sampled product; Determine the sales conversion rate of the sampled product according to the number of users who repurchase the sampled product and the number of users who take out the sampled product in a sampled manner; According to the praise rate and sales conversion rate of the sampled goods, the updated attribute values ​​of the sampled goods in the open door cabinet are determined.

3. The commodity sampling analysis method according to claim 2, characterized in that: Determining updated attribute values ​​of the sampled products in the door-opening cabinet according to the favorable comment rate and sales conversion rate of the sampled products includes: Determine a sampling activity participation rate of the sampled product according to the number of users who take out the sampled product in a sampling manner and the number of target reachable users of the sampled product; According to the praise rate, sales conversion rate and sampling activity participation rate of the sampled products, the updated attribute values ​​of the sampled products in the open door cabinet are determined.

4. The commodity sampling analysis method according to claim 3, characterized in that: Determining updated attribute values ​​of the sampled products in the door-opening cabinet according to the favorable comment rate, sales conversion rate and sampled activity participation rate of the sampled products includes: When the participation rate of the sample distribution activity is greater than the first preset threshold, the favorable comment rate of the sampled product is greater than the second preset threshold, and the sales conversion rate is greater than the third preset threshold, the number of aisles of sampled products in the open door cabinet is increased, and the price of the sampled product remains unchanged; When the participation rate of the sampling activity is greater than the first preset threshold, the favorable comment rate of the sampled product is greater than the second preset threshold, and the sales conversion rate is less than or equal to the third preset threshold, the price of the sampled product in the open door cabinet is reduced; When the participation rate of the sampling activity is greater than the first preset threshold, the favorable comment rate of the sampled product is less than or equal to the second preset threshold and greater than or equal to the fourth preset threshold, and the sales conversion rate of the sampled product is less than or equal to the third preset threshold and greater than or equal to the fifth preset threshold, the number of aisles of sampled products in the door-opening cabinet is reduced, and the sampled products are upgraded according to the feedback information, the fourth preset threshold is less than the second preset threshold, and the fifth preset threshold is less than the third preset threshold; When the participation rate in the sampling activity is greater than the first preset threshold, the praise rate of the sampled goods is less than the fourth preset threshold, and the sales conversion rate is less than the fifth preset threshold, the sampled goods will no longer be placed in the open-door cabinet.

5. The commodity sampling analysis method according to claim 4, characterized in that: The feedback information includes an evaluation of the sampled product, wherein the evaluation includes an evaluation of one or more indicators of the taste, flavor, packaging, touch and price of the sampled product. The upgrading of the sampled product according to the feedback information includes: Determine the favorable rating of each indicator according to the evaluation of each indicator of the sampled product; The indicator for which the praise rate of the sampled goods is less than the sixth preset threshold is upgraded.

6. The commodity sampling analysis method according to any one of claims 1 to 5, characterized in that: The feedback information includes one or more of the user's basic information, behavior preference, demand preference, and brand awareness of the sampled product, and also includes: Determine the distribution of each basic information of the user, the distribution of each behavior preference, the distribution of each demand preference, and the distribution of brand awareness; The users to be sampled of the sampled goods are determined according to one or more of the distribution of each basic information of the users, the distribution of each behavior preference, the distribution of each demand preference and the distribution of brand awareness.

7. A commodity sampling analysis device, characterized in that: include: An acquisition module, for acquiring feedback information of the user on the sampled product and a repurchase behavior of the user on the sampled product from the open door cabinet after acquiring the sampled product taken out by the user from the open door cabinet in a sampling manner; The analysis module is used to analyze the feedback information of the sampled goods and the user's repurchase behavior of the sampled goods, and determine the updated attribute values ​​of the sampled goods in the open door cabinet.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the commodity sampling analysis method according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the commodity sampling analysis method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the commodity sampling analysis method according to any one of claims 1 to 6 is implemented.

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