CN111160966A - Cross-store cooperation member re-purchasing period management method and device - Google Patents
Cross-store cooperation member re-purchasing period management method and device Download PDFInfo
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Abstract
The invention provides a member re-purchasing cycle management method and device based on cross-store cooperation, wherein a first purchasing record of a first member is obtained and is a purchasing record of the first member in a first store; obtaining first commodity information according to the first purchase record; obtaining second commodity information, wherein the second commodity information has a first relevance with the first commodity information; judging whether the second commodity information has second relevance with the first shop; when the second commodity information does not have a second relevance with the first shop, first recommendation information is obtained, and the first recommendation information is used for recommending the second shop to the first member. The technical problems that in the prior art, the repurchase management of the members is limited to commodities of the stores, the goods are single, and the repurchase management effect is influenced are solved, the cross-store cooperative member period management is achieved by utilizing mutual cooperation among different stores, the situation that the purchasing requirement of the members cannot be met due to the fact that recommended products of the single stores are limited is avoided, and the technical effect of the repurchase period of the members is guaranteed.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a member re-purchasing cycle management method and device based on cross-store cooperation.
Background
The membership-based marketing goal is to continuously arouse and improve the loyalty of participants by establishing emotional relationships with them. Typically, a membership organization is the result of a business, organization, and nonprofit organization maintaining their customers. He attracts the customer to voluntarily join by offering a range of benefits called customer loyalty programs. The customers who join the membership organization are called members, the relationship between the membership organization and the members is embodied by membership cards, and the membership cards are 'identity cards' which are used by the members to enjoy preferential policies or special treatment when the members consume. The development of membership in China is just following such a law. The member system marketing mode is a marketing means generally adopted by merchants, particularly chain stores, and the merchants need to formulate a member system marketing scheme to be favorable for continuous purchase of members when applying the member system marketing mode.
However, the applicant of the present invention finds that the prior art has at least the following technical problems:
the repurchase management of members in the prior art is only limited to commodities in the store, the goods are single, and the technical problem that the repurchase management effect is influenced exists.
Disclosure of Invention
The embodiment of the invention provides a member repurchase cycle management method and device based on cross-store cooperation, and solves the technical problems that in the prior art, the repurchase management of members is only limited to commodities in a local store, the goods are single, and the repurchase management effect is influenced.
In view of the above problems, the present application embodiment is proposed to provide a member repurchase cycle management method and apparatus that collaborates across stores.
In a first aspect, the invention provides a member repurchase cycle management method cooperating across shops, which comprises the following steps: obtaining a first purchase record of a first member, wherein the first purchase record is a purchase record of the first member in a first shop; obtaining first commodity information according to the first purchase record; obtaining second commodity information, wherein the second commodity information has a first relevance with the first commodity information; judging whether the second commodity information has second relevance with the first shop; when the second commodity information does not have a second relevance with the first shop, first recommendation information is obtained, and the first recommendation information is used for recommending the second shop to the first member.
Preferably, the method further comprises: obtaining a second purchase record of the first member, wherein the second purchase record is a purchase record of the first member in the second shop; obtaining third commodity information according to the second purchase record; judging whether the third commodity information and the first commodity information have the first relevance or not; when the third commodity information does not have the first relevance with the first commodity information, the first recommendation information is obtained.
Preferably, the determining whether the second product information has the second correlation with the first shop includes: when the second commodity information has second relevance with the first shop, obtaining first inventory information corresponding to the second commodity information; judging whether the first inventory information meets a first preset threshold value; and when the first inventory information meets the first preset threshold value, obtaining first promotion information and sending the first promotion information to the first member.
Preferably, the obtaining of the first recommendation information for recommending the second store to the first member when the second item information does not have the second association with the first store includes: obtaining a second shop according to the second commodity information; determining whether the second store has a third association with the first store; and when the second shop and the first shop have the third relevance, obtaining the first recommendation information and recommending the second shop to the first member.
Preferably, the obtaining of the first recommendation information for recommending the second store to the first member when the second item information does not have the second relationship with the first store, includes: obtaining second inventory information according to the second commodity information, wherein the second inventory information is the inventory information of the second commodity information in the second shop; judging whether the second inventory information meets a second preset threshold value; and when the second inventory information meets the second preset threshold value, obtaining second promotion information and sending the second promotion information to the first member.
Preferably, the determining whether the second store and the first store have a third relationship includes: obtaining a third store when the second store does not have the third association with the first store, wherein the third store has the third association with the first store; and obtaining second recommendation information according to the third shop, wherein the second recommendation information is used for recommending the third shop to the first member.
Preferably, the determining whether the second store and the first store have a third relationship includes: when the second store does not have the third relevance with the first store, the first store sends first request information to the second store, wherein the first request information requests the first store to establish the third relevance with the second store; acquiring first reply information according to the first request information; and obtaining third recommendation information according to the first reply information, wherein the third recommendation information is used for recommending the second shop to the first member.
In a second aspect, the present invention provides a member buyback cycle management apparatus cooperating across stores, the apparatus including:
a first obtaining unit, configured to obtain a first purchase record of a first member, where the first purchase record is a purchase record of the first member in a first store;
the second obtaining unit is used for obtaining first commodity information according to the first purchase record;
a third obtaining unit, configured to obtain second commodity information, where the second commodity information has a first association with the first commodity information;
a first determination unit configured to determine whether the second product information and the first store have a second relationship;
a fourth obtaining unit configured to obtain first recommendation information for recommending a second store to the first member when the second item information does not have a second association with the first store.
Preferably, the apparatus further comprises:
a fifth obtaining unit, configured to obtain a second purchase record of the first member, where the second purchase record is a purchase record of the first member in the second store;
a sixth obtaining unit, configured to obtain third commodity information according to the second purchase record;
a second determination unit configured to determine whether the third product information and the first product information have the first correlation;
a seventh obtaining unit configured to obtain the first recommendation information when the third article information does not have the first association with the first article information.
Preferably, the apparatus further comprises:
an eighth obtaining unit, configured to obtain first inventory information corresponding to the second item information when the second item information has a second association with the first store;
a third judging unit configured to judge whether the first stock information satisfies a first predetermined threshold;
a ninth obtaining unit configured to obtain first promotion information when the first inventory information satisfies the first predetermined threshold, and send the first promotion information to the first member.
Preferably, the apparatus further comprises:
a tenth obtaining unit configured to obtain a second store from the second product information;
a fourth determination unit configured to determine whether the second store and the first store have a third relationship;
an eleventh obtaining unit configured to obtain the first recommendation information and recommend the second store to the first member when the second store has the third association with the first store.
Preferably, the apparatus further comprises:
a twelfth obtaining unit, configured to obtain second inventory information according to the second commodity information, where the second inventory information is inventory information in which the second commodity information is present in the second store;
a fifth judging unit configured to judge whether the second stock information satisfies a second predetermined threshold;
a thirteenth obtaining unit configured to obtain second promotion information when the second inventory information satisfies the second predetermined threshold, and send the second promotion information to the first member.
Preferably, the apparatus further comprises:
a fourteenth obtaining unit configured to obtain a third shop when the second shop does not have the third association with the first shop, wherein the third shop has the third association with the first shop;
a fifteenth obtaining unit configured to obtain second recommendation information for recommending the third store to the first member, according to the third store.
Preferably, the apparatus further comprises:
a first execution unit, configured to, when the second store does not have the third association with the first store, send first request information to the second store, where the first request information requests the first store to establish a third association with the second store;
a sixteenth obtaining unit, configured to obtain first reply information according to the first request information;
a seventeenth obtaining unit, configured to obtain third recommendation information according to the first reply information, where the third recommendation information is used to recommend the second store to the first member.
In a third aspect, the present invention provides a member buyback cycle management device cooperating across stores, comprising a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the processor implements the following steps when executing the program: obtaining a first purchase record of a first member, wherein the first purchase record is a purchase record of the first member in a first shop; obtaining first commodity information according to the first purchase record; obtaining second commodity information, wherein the second commodity information has a first relevance with the first commodity information; judging whether the second commodity information has second relevance with the first shop; when the second commodity information does not have a second relevance with the first shop, first recommendation information is obtained, and the first recommendation information is used for recommending the second shop to the first member.
In a fourth aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of: obtaining a first purchase record of a first member, wherein the first purchase record is a purchase record of the first member in a first shop; obtaining first commodity information according to the first purchase record; obtaining second commodity information, wherein the second commodity information has a first relevance with the first commodity information; judging whether the second commodity information has second relevance with the first shop; when the second commodity information does not have a second relevance with the first shop, first recommendation information is obtained, and the first recommendation information is used for recommending the second shop to the first member.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
according to the member re-purchasing cycle management method and device based on cross-store cooperation, provided by the embodiment of the invention, a first purchasing record of a first member is obtained, and the first purchasing record is a purchasing record of the first member in a first store; obtaining first commodity information according to the first purchase record; obtaining second commodity information, wherein the second commodity information has a first relevance with the first commodity information; judging whether the second commodity information has second relevance with the first shop; when the second commodity information does not have a second relevance with the first shop, first recommendation information is obtained, and the first recommendation information is used for recommending the second shop to the first member. The cross-store cooperative member period management is realized by utilizing the mutual cooperation among different stores, the problem that the purchasing requirement of a member cannot be met due to the fact that the recommended products of a single store are limited is avoided, the effective re-purchasing period of the member cannot be guaranteed, the establishment of the re-purchasing habit of the member is not facilitated, the cross-store cooperative member period management system can not perform targeted recommendation on the member, member marketing service is well done, the member re-purchasing period management is facilitated, and the cross-store mutual win technical effect is realized. And further, the technical problems that the repurchase management of the members is only limited to commodities in the local store, the goods are single, and the repurchase management effect is influenced in the prior art are solved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart illustrating a member re-purchasing cycle management method through store collaboration according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a member re-purchasing cycle management device cooperating across stores according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of another member re-purchasing cycle management device cooperating across stores according to an embodiment of the present invention.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a first judging unit 14, a fourth obtaining unit 15, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 306.
Detailed Description
The embodiment of the invention provides a member repurchase cycle management method and device based on cross-store cooperation, and aims to solve the technical problems that in the prior art, the repurchase management of members is limited to local commodities, the goods are single, and the repurchase management effect is influenced.
The technical scheme provided by the invention has the following general idea:
obtaining a first purchase record of a first member, wherein the first purchase record is a purchase record of the first member in a first shop; obtaining first commodity information according to the first purchase record; obtaining second commodity information, wherein the second commodity information has a first relevance with the first commodity information; judging whether the second commodity information has second relevance with the first shop; when the second commodity information does not have a second relevance with the first shop, first recommendation information is obtained, and the first recommendation information is used for recommending the second shop to the first member. The cross-store cooperative member period management is realized by utilizing the mutual cooperation among different stores, the problem that the purchasing requirement of a member cannot be met due to the fact that the recommended products of a single store are limited is avoided, the effective re-purchasing period of the member cannot be guaranteed, the establishment of the re-purchasing habit of the member is not facilitated, the cross-store cooperative member period management system can not perform targeted recommendation on the member, member marketing service is well done, the member re-purchasing period management is facilitated, and the cross-store mutual win technical effect is realized.
The technical solutions of the present invention are described in detail below with reference to the drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present invention are described in detail in the technical solutions of the present application, and are not limited to the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
Example one
Fig. 1 is a schematic flow chart of a member re-purchasing cycle management method based on cross-store cooperation in an embodiment of the present invention. As shown in fig. 1, an embodiment of the present invention provides a member repurchase cycle management method for cross-store collaboration, where the method includes:
step 110: a first purchase record of a first member is obtained, the first purchase record being a record of a first member's purchase within a first store.
Specifically, a first purchase record of a first member recently shopping in the store is found from member management of the store, wherein the first purchase record includes member information, a purchase commodity name, a commodity attribute, a purchase price, a purchase quantity, a purchase time and the like of the first member, the member information is personal basic information, such as a member name, a mobile phone number, identity information and the like, which is recorded when the member registers in a meeting, and with popularization of smart phones, the member information is often associated with the mobile phone number and a micro signal so as to facilitate management and data processing of the member information.
Step 120: and obtaining first commodity information according to the first purchase record.
Specifically, the method obtains corresponding purchased commodity information, namely commodity names, commodity attributes and the like, from the latest purchase record of a first member, analyzes and processes the commodity information which is purchased recently by the member to determine a marketing scheme corresponding to the member, ensures that the marketing scheme formulated by the member is more suitable for member characteristics through personalized information processing, increases the success rate, is more effective for the repeated purchase management of the member, for example, the commodity which is purchased most recently by a certain member is a mobile phone, is determined to be durable goods according to the commodity attributes, usually has no need of purchasing again in a short time, can not be repeatedly recommended, can recommend peripheral associated commodities, such as mobile phone films, mobile phone shells, earphones, data lines and the like, which are associated commodities of the commodity, correspondingly guides and recommends according to the purchase need of the user, and starts from the need of the user, the attention of the members can be obtained more easily, and the rate of the repurchase of the users is improved.
Step 130: second commodity information is obtained, wherein the second commodity information and the first commodity information have a first relevance.
Specifically, a second commodity having a certain correlation with the member can be screened in the system platform according to the information of the first commodity purchased by the member, the screening process is to perform the same screening in the same platform, such as a cloud point platform system which performs unified management on stores, and the screening result includes a commodity name, a commodity stock, a commodity on-sale store, a commodity attribute and the like. The second commodity can be the same as or different from the first commodity, but has a certain relevance, such as commodities belonging to the same attribute and the same category, in addition, when the commodity is recorded into the system, the second commodity can be classified according to the attributes of the commodities, and relevance assessment is performed according to the attributes, commodity categories, commodity purposes, commodity names and the like of the commodities, when screening the first relevance commodity is performed, screening requirements of relevance coefficients are searched, so that the commodities with the relevance meeting the requirements can be found, for example, when the first commodity purchased by a member is a consumable product, the screened relevance assessment coefficients can be set to be high when the relevant commodity is searched, namely the relevance of the two commodities is high, and the second commodity and the first commodity can be replaced, such as shampoos of different brands; when the first commodity is a non-consumable commodity, the screened associated evaluation coefficient can be set to be low when the associated commodity is searched, namely, the associated commodity has the relevance, but the commodity does not belong to the same commodity and does not have the replaceability, such as the relationship between a mobile phone and a mobile phone shell. In the relevance coefficient evaluation, the setting can be carried out according to the needs of shops, the setting can be carried out according to the experience of personnel in the shops, and the automatic data output can also be carried out by utilizing artificial intelligence to carry out modeling operation.
Step 140: and judging whether the second commodity information has second relevance with the first shop.
Specifically, it is determined from the first store and the second product information whether or not the screened second product information meeting the request is a product having a second relationship with the first store, that is, whether or not the second product is a product currently sold in the first store. The second commodity information that meets the requirements screened out by the system platform includes the shop for sale, and when the shop for sale is the same as the first shop, the second commodity information has a second correlation with the first shop.
Step 150: when the second commodity information does not have a second relevance with the first shop, first recommendation information is obtained, and the first recommendation information is used for recommending the second shop to the first member.
Specifically, if the screened second product information does not have the second relevance with the first store, the selected second product information is recommended to the first customer according to the in-store shop included in the screened second product information, namely the second store is a store having the second relevance with the second product information, the first recommendation information is obtained according to the second product information and the second store correspondence, other stores meeting the requirements in the platform and the corresponding second product information are recommended to the first customer, the corresponding product recommendation can be carried out according to the purchasing habits and requirements of the members, even if the store has no recommendable products, cross-store recommendation is carried out by using the information of other stores, the member re-purchasing management is realized, the re-purchasing probability of the members is improved, and the effective maintenance of the members is realized.
Therefore, by the cross-store cooperative member re-purchasing cycle management method in this embodiment, for a first record of recent purchase of a first member in a first store, corresponding first commodity information of recent purchase is obtained, second commodity information having a first relevance with the first commodity information is obtained according to the first commodity information, whether the second commodity information and the first store conform to a second relevance is determined, when the second commodity information and the first store do not have the second relevance, that is, a second commodity is not sold in the first store, the second store is obtained according to the second commodity information, first recommendation information is correspondingly generated, and the second store is recommended to the first member, so as to implement cross-store recommendation, avoid that the member re-purchasing management cannot be performed because the store does not have a corresponding recommendation product, so that an effective re-purchasing cycle of the member cannot be guaranteed, and the member cannot make a re-purchase for a long time, the establishment of the member repurchase habit is not facilitated, the mutual cooperation between the shops on the same platform is utilized, the member can be purposefully recommended, the member marketing service is well done, the member repurchase management is facilitated, the cross-shop cooperative marketing can be realized, the mutual win is realized, the member repurchase cycle management of the whole platform is guaranteed, and the technical problems that in the prior art, the repurchase management of the member is limited to the commodity of the shop, the commodity is single, and the repurchase management effect is influenced are solved.
Furthermore, the data fusion method in this embodiment may also be implemented by combining an Artificial Intelligence technology, wherein Artificial Intelligence (AI) is also called machine Intelligence, which is a subject for researching a computer to simulate some thinking processes and intelligent behaviors (such as learning, reasoning, thinking, planning, and the like) of a human, and mainly includes a principle that the computer realizes Intelligence, and a computer similar to human brain Intelligence is manufactured, so that the computer can realize higher-level application. The method comprises the following specific steps: obtaining a first purchase record of a first member, wherein the first purchase record is a purchase record of the first member in a first shop; obtaining first commodity information according to the first purchase record; obtaining second commodity information, wherein the second commodity information has a first relevance with the first commodity information; judging whether the second commodity information has second relevance with the first shop; when the second commodity information does not have a second relevance with the first shop, first recommendation information is obtained, and the first recommendation information is used for recommending the second shop to the first member.
Further, the training model in this embodiment is obtained by using machine learning training with multiple sets of data, where machine learning is a way to implement artificial intelligence, and has a certain similarity with data mining, and is also a multi-domain cross subject, and relates to multiple subjects such as probability theory, statistics, approximation theory, convex analysis, and computation complexity theory. Compared with the method for finding mutual characteristics among big data by data mining, the machine learning focuses on the design of an algorithm, so that a computer can learn rules from the data in a whitish manner, and unknown data can be predicted by using the rules.
Further, the method further comprises: obtaining a second purchase record of the first member, wherein the second purchase record is a purchase record of the first member in the second shop; obtaining third commodity information according to the second purchase record; judging whether the third commodity information and the first commodity information have the first relevance or not; when the third commodity information does not have the first relevance with the first commodity information, the first recommendation information is obtained.
Specifically, to avoid that the first member has purchased recommended merchandise, embodiments of the present invention further include, obtaining a second purchase record for the first member, the purchase record is a recent consumption record of the first member in other shops, corresponding purchased commodity information is obtained according to the second purchase record, whether the third commodity information is related to the first commodity information and the second commodity information or not is judged, that is, it is determined whether the third product has a first correlation with the first product and is a peripheral product similar to or related to the first product, and if the first member has recently purchased another product related to the first product in another shop, or the purchased commodity is similar to a second commodity which is recommended to the member, the first recommendation information is not sent to the first member, and the corresponding recommended content can be re-established according to the purchase information of the local store and the cross-store. If the third commodity information does not have the first relevance with the first commodity information, namely the first member does not purchase other commodities related to the first commodity information recently, at the moment, first recommendation information is generated and sent to the first member, the second commodity information and the second store are sent to the first member, and the member is subjected to targeted recommendation according to the purchase record and the purchase habit of the member so as to meet the purchase demand of the member.
Further, the determining whether the second item information has a second relationship with the first store may include: when the second commodity information has second relevance with the first shop, obtaining first inventory information corresponding to the second commodity information; judging whether the first inventory information meets a first preset threshold value; and when the first inventory information meets the first preset threshold value, obtaining first promotion information and sending the first promotion information to the first member.
Specifically, when a second correlation exists between the second commodity information and the first store in the second commodity information obtained according to the first correlation, namely the second commodity information is sold in the first store, corresponding stock information in the store is obtained according to the second item information, the first stock information mainly comprises stock quantity, whether a first preset threshold value is met is judged according to the first stock information, the first preset threshold value is a standard for measuring whether the stock quantity is saturated, the specific set threshold value is specifically set according to the scale, the stock quantity, the business quantity and the like of the store, for example, 70%, when the second commodity in the store is in a saturated state, a corresponding promotion scheme can be made according to the stock condition, meanwhile, the storage time of the item can be determined according to the arrival time, the date of the item and the like, and if the storage time exceeds the preset standard, the sales condition is not good, processing is carried out according to the inventory quantity, the inventory purchasing date and other information to obtain a corresponding promotion scheme, such as activities of gifting, price reduction, full reduction and the like, and the determined promotion information is sent to the first member.
Further, when the second item information does not have a second relationship with the first store, obtaining first recommendation information for recommending the second store to the first member includes: obtaining a second shop according to the second commodity information; determining whether the second store has a third association with the first store; and when the second shop and the first shop have the third relevance, obtaining the first recommendation information and recommending the second shop to the first member.
Further, the determining whether the second store has a third relationship with the first store may include: obtaining a third store when the second store does not have the third association with the first store, wherein the third store has the third association with the first store; and obtaining second recommendation information according to the third shop, wherein the second recommendation information is used for recommending the third shop to the first member.
Further, the determining whether the second store has a third relationship with the first store may include: when the second store does not have the third relevance with the first store, the first store sends first request information to the second store, wherein the first request information requests the first store to establish the third relevance with the second store; acquiring first reply information according to the first request information; and obtaining third recommendation information according to the first reply information, wherein the third recommendation information is used for recommending the second shop to the first member.
Specifically, before recommending the second store to the member, the second store may be specified, and when the second commodity information and the first store are not related, that is, when there is no commodity to be recommended in the first store, the second store and the corresponding commodity need to be recommended to the first member, and it is determined whether or not the second store and the first store have a third relationship, that is, whether or not there is a relationship between the second store and the first store for member-repeat-purchase cycle management in cooperation with each other across the stores, and when there is a relationship between the second store and the first store, the second store may be recommended to the first member. If the second store has no third relevance with the first store, that is, there is no cross-store cooperation between the two stores, sending request information to the second store for requesting the second store to determine whether the second store is willing to establish the cross-store cooperation with the first store, if the second store agrees to cooperate, replying the request information to the first store, if not, replying is not needed, the specific cooperation content can be specifically set according to the characteristics of the commodity and the store, for example, the two stores recommend several bills each other every month, or do not agree with how many return points corresponding to a single party, or mutually have corresponding cooperation price, the difference value of the agreement is own profit, etc., the specific cooperation mode can specifically make a corresponding cooperation contract, and send the cooperation contract together with the request information to the second store, and the second store sends the corresponding reply according to the received request information, if the cooperation relationship with the first store is agreed, the response information is fed back to the first store, the first store determines whether the second store is recommended to the first member or not according to the received feedback information, namely, mutual recommendation marketing is carried out between stores which establish cross-store cooperation, if the cross-store cooperation is not established, namely, third association is not available, recommendation is not carried out, so that a mechanism of cross-store cooperation member management is realized, mutual win between cooperation stores is achieved, effective member re-purchasing cycle management of all merchants in a cooperation system is promoted, and the technical problems that in the prior art, the re-purchasing management of members is limited to local commodities, goods are single, and the re-purchasing management effect is influenced are further solved. The problem that the shopping requirements of the members cannot be met due to the fact that the goods of a single store are single in category is avoided, so that the members are lost, effective member re-shopping period management cannot be conducted, all-around customer shopping experience is achieved through a cross-store cooperation mode, and the member re-shopping period is effectively guaranteed.
Further, when the second item information does not have a second relationship with the first store, obtaining first recommendation information, the first recommendation information being used after recommending the second store to the first member, includes: obtaining second inventory information according to the second commodity information, wherein the second inventory information is the inventory information of the second commodity information in the second shop; judging whether the second inventory information meets a second preset threshold value; and when the second inventory information meets the second preset threshold value, obtaining second promotion information and sending the second promotion information to the first member.
Specifically, when the second shop and the second commodity are recommended to the first member, the sales promotion plan may be also formulated according to the inventory information of the corresponding second commodity in the second shop, that is, according to the second commodity information, the corresponding second inventory information is obtained, the second inventory information is the inventory condition of the second commodity in the second shop, whether the inventory information of the second commodity meets a second predetermined threshold is determined, the second predetermined threshold is the evaluation standard limit for determining whether the inventory quantity of the second commodity is saturated, the normal inventory condition mainly includes the inventory quantity, when the comparison and determination are performed, the corresponding determination is performed only by using the inventory quantity, if the maximum inventory quantity determined according to the inventory condition, the sales condition of the shop, the unit price of the product, and the like is 100, and if the current inventory quantity is 90, the inventory information is 90%, the set second predetermined threshold is 80%, that is more than 80%, it is determined that the preset requirement is exceeded, a promotion scheme may be established, and the established promotion information may be transmitted to the first member. Meanwhile, in the process of formulating the promotion information, besides the process of formulating according to the stock quantity, the promotion information can be formulated by integrating the stock price, the production date, the sales volume, the stock date and the like of the commodity, for example, the current stock is the overstocked commodity, the stock time is longer, the sales volume is not good, the quantity close to expiration is large and the like, the corresponding promotion scheme customization is carried out according to the specific data, in addition, during the process of carrying out the stock condition analysis, the occupation ratio and the numerical value of the parameters such as the stock price, the stock time, the production date and the like in the stock information can be evaluated by means of an artificial intelligent data model, the final data information is output by data training and calculation, and the stock information data value is compared with the preset threshold value to determine whether to carry out the corresponding promotion activities. Through the shopping record analysis of the members and the processing of the recommended commodity inventory information, the corresponding member recommendation information is determined in a targeted manner so as to meet the purchasing requirements of the members and improve the member re-purchasing probability, thereby effectively managing the member re-purchasing period.
Example two
Based on the same inventive concept as the member re-purchasing cycle management method based on cross-store cooperation in the foregoing embodiment, the present invention further provides a member re-purchasing cycle management method and apparatus based on cross-store cooperation, as shown in fig. 2, the apparatus includes:
a first obtaining unit 11, wherein the first obtaining unit 11 is configured to obtain a first purchase record of a first member, and the first purchase record is a purchase record of the first member in a first store;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain first commodity information according to the first purchase record;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain second commodity information, where the second commodity information has a first association with the first commodity information;
a first determination unit 14, wherein the first determination unit 14 is configured to determine whether the second product information and the first store have a second relationship;
a fourth obtaining unit 15, configured to obtain first recommendation information for recommending a second store to the first member when the second item information does not have a second association with the first store.
Further, the apparatus further comprises:
a fifth obtaining unit, configured to obtain a second purchase record of the first member, where the second purchase record is a purchase record of the first member in the second store;
a sixth obtaining unit, configured to obtain third commodity information according to the second purchase record;
a second determination unit configured to determine whether the third product information and the first product information have the first correlation;
a seventh obtaining unit configured to obtain the first recommendation information when the third article information does not have the first association with the first article information.
Further, the apparatus further comprises:
an eighth obtaining unit, configured to obtain first inventory information corresponding to the second item information when the second item information has a second association with the first store;
a third judging unit configured to judge whether the first stock information satisfies a first predetermined threshold;
a ninth obtaining unit configured to obtain first promotion information when the first inventory information satisfies the first predetermined threshold, and send the first promotion information to the first member.
Further, the apparatus further comprises:
a tenth obtaining unit configured to obtain a second store from the second product information;
a fourth determination unit configured to determine whether the second store and the first store have a third relationship;
an eleventh obtaining unit configured to obtain the first recommendation information and recommend the second store to the first member when the second store has the third association with the first store.
Further, the apparatus further comprises:
a twelfth obtaining unit, configured to obtain second inventory information according to the second commodity information, where the second inventory information is inventory information in which the second commodity information is present in the second store;
a fifth judging unit configured to judge whether the second stock information satisfies a second predetermined threshold;
a thirteenth obtaining unit configured to obtain second promotion information when the second inventory information satisfies the second predetermined threshold, and send the second promotion information to the first member.
Further, the apparatus further comprises:
a fourteenth obtaining unit configured to obtain a third shop when the second shop does not have the third association with the first shop, wherein the third shop has the third association with the first shop;
a fifteenth obtaining unit configured to obtain second recommendation information for recommending the third store to the first member, according to the third store.
Further, the apparatus further comprises:
a first execution unit, configured to, when the second store does not have the third association with the first store, send first request information to the second store, where the first request information requests the first store to establish a third association with the second store;
a sixteenth obtaining unit, configured to obtain first reply information according to the first request information;
a seventeenth obtaining unit, configured to obtain third recommendation information according to the first reply information, where the third recommendation information is used to recommend the second store to the first member.
Various changes and specific examples of the member-across-store cooperation member-across-purchase cycle management method in the first embodiment of fig. 1 are also applicable to the member-across-store cooperation member-across-purchase cycle management device in the present embodiment, and through the foregoing detailed description of the member-across-store cooperation cycle management method, those skilled in the art can clearly know the implementation method of the member-across-store cooperation cycle management device in the present embodiment, so for the brevity of the description, detailed descriptions are omitted here.
EXAMPLE III
Based on the same inventive concept as the member buyback cycle management method through cross-store cooperation in the foregoing embodiment, the present invention also provides a member buyback cycle management device through cross-store cooperation, having a computer program stored thereon, which when executed by a processor, implements the steps of any one of the foregoing member buyback cycle management methods through cross-store cooperation.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
Example four
Based on the same inventive concept as the member buyback cycle management method of the cross-store collaboration in the foregoing embodiments, the present invention also provides a computer-readable storage medium having stored thereon a computer program that, when executed by a processor, implements the steps of: obtaining a first purchase record of a first member, wherein the first purchase record is a purchase record of the first member in a first shop; obtaining first commodity information according to the first purchase record; obtaining second commodity information, wherein the second commodity information has a first relevance with the first commodity information; judging whether the second commodity information has second relevance with the first shop; when the second commodity information does not have a second relevance with the first shop, first recommendation information is obtained, and the first recommendation information is used for recommending the second shop to the first member.
In a specific implementation, when the program is executed by a processor, any method step in the first embodiment may be further implemented.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
according to the member re-purchasing cycle management method and device based on cross-store cooperation, provided by the embodiment of the invention, a first purchasing record of a first member is obtained, and the first purchasing record is a purchasing record of the first member in a first store; obtaining first commodity information according to the first purchase record; obtaining second commodity information, wherein the second commodity information has a first relevance with the first commodity information; judging whether the second commodity information has second relevance with the first shop; when the second commodity information does not have a second relevance with the first shop, first recommendation information is obtained, and the first recommendation information is used for recommending the second shop to the first member. The cross-store cooperative member period management is realized by utilizing the mutual cooperation among different stores, the problem that the purchasing requirement of a member cannot be met due to the fact that the recommended products of a single store are limited is avoided, the effective re-purchasing period of the member cannot be guaranteed, the establishment of the re-purchasing habit of the member is not facilitated, the cross-store cooperative member period management system can not perform targeted recommendation on the member, member marketing service is well done, the member re-purchasing period management is facilitated, and the cross-store mutual win technical effect is realized. And further, the technical problems that the repurchase management of the members is only limited to commodities in the local store, the goods are single, and the repurchase management effect is influenced in the prior art are solved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A member repurchase cycle management method collaborating across shops, which is characterized by comprising the following steps:
obtaining a first purchase record of a first member, wherein the first purchase record is a purchase record of the first member in a first shop;
obtaining first commodity information according to the first purchase record;
obtaining second commodity information, wherein the second commodity information has a first relevance with the first commodity information;
judging whether the second commodity information has second relevance with the first shop;
when the second commodity information does not have a second relevance with the first shop, first recommendation information is obtained, and the first recommendation information is used for recommending the second shop to the first member.
2. The method of claim 1, wherein the method further comprises:
obtaining a second purchase record of the first member, wherein the second purchase record is a purchase record of the first member in the second shop;
obtaining third commodity information according to the second purchase record;
judging whether the third commodity information and the first commodity information have the first relevance or not;
when the third commodity information does not have the first relevance with the first commodity information, the first recommendation information is obtained.
3. The method of claim 1, wherein the determining whether the second merchandise information has a second association with the first store comprises:
when the second commodity information has second relevance with the first shop, obtaining first inventory information corresponding to the second commodity information;
judging whether the first inventory information meets a first preset threshold value;
and when the first inventory information meets the first preset threshold value, obtaining first promotion information and sending the first promotion information to the first member.
4. The method of claim 1, wherein obtaining first recommendation information for recommending a second store to the first member when the second merchandise information does not have a second association with the first store comprises:
obtaining a second shop according to the second commodity information;
determining whether the second store has a third association with the first store;
and when the second shop and the first shop have the third relevance, obtaining the first recommendation information and recommending the second shop to the first member.
5. The method of claim 4, wherein obtaining first recommendation information for recommending a second store to the first member when the second merchandise information does not have a second association with the first store comprises:
obtaining second inventory information according to the second commodity information, wherein the second inventory information is the inventory information of the second commodity information in the second shop;
judging whether the second inventory information meets a second preset threshold value;
and when the second inventory information meets the second preset threshold value, obtaining second promotion information and sending the second promotion information to the first member.
6. The method of claim 4, wherein determining whether the second store has a third association with the first store comprises:
obtaining a third store when the second store does not have the third association with the first store, wherein the third store has the third association with the first store;
and obtaining second recommendation information according to the third shop, wherein the second recommendation information is used for recommending the third shop to the first member.
7. The method of claim 4, wherein determining whether the second store has a third association with the first store comprises:
when the second store does not have the third relevance with the first store, the first store sends first request information to the second store, wherein the first request information requests the first store to establish the third relevance with the second store;
acquiring first reply information according to the first request information;
and obtaining third recommendation information according to the first reply information, wherein the third recommendation information is used for recommending the second shop to the first member.
8. A member buyback cycle management apparatus that cooperates across stores, the apparatus comprising:
a first obtaining unit, configured to obtain a first purchase record of a first member, where the first purchase record is a purchase record of the first member in a first store;
the second obtaining unit is used for obtaining first commodity information according to the first purchase record;
a third obtaining unit, configured to obtain second commodity information, where the second commodity information has a first association with the first commodity information;
a first determination unit configured to determine whether the second product information and the first store have a second relationship;
a fourth obtaining unit configured to obtain first recommendation information for recommending a second store to the first member when the second item information does not have a second association with the first store.
9. A member buyback cycle management apparatus cooperating across stores, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the program, implements the steps of:
obtaining a first purchase record of a first member, wherein the first purchase record is a purchase record of the first member in a first shop;
obtaining first commodity information according to the first purchase record;
obtaining second commodity information, wherein the second commodity information has a first relevance with the first commodity information;
judging whether the second commodity information has second relevance with the first shop;
when the second commodity information does not have a second relevance with the first shop, first recommendation information is obtained, and the first recommendation information is used for recommending the second shop to the first member.
10. A computer-readable storage medium, on which a computer program is stored, which program, when executed by a processor, carries out the steps of:
obtaining a first purchase record of a first member, wherein the first purchase record is a purchase record of the first member in a first shop;
obtaining first commodity information according to the first purchase record;
obtaining second commodity information, wherein the second commodity information has a first relevance with the first commodity information;
judging whether the second commodity information has second relevance with the first shop;
when the second commodity information does not have a second relevance with the first shop, first recommendation information is obtained, and the first recommendation information is used for recommending the second shop to the first member.
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