CN109978292A

CN109978292A - The intelligent management and device of shops

Info

Publication number: CN109978292A
Application number: CN201711449072.4A
Authority: CN
Inventors: 游海涛; 蔡仲湖; 梁晓阳; 卢孔敏; 李朋轩; 徐建极
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2017-12-27
Filing date: 2017-12-27
Publication date: 2019-07-05
Anticipated expiration: 2037-12-27
Also published as: CN109978292B

Abstract

The invention discloses a kind of intelligent management of shops and devices.Wherein, this method comprises: being determined as at least one shops of user's distribution；The shops's information for obtaining at least one shops and user are to the history information on services of at least one shops；Based on shops's information and history information on services, shops's visit planning information is generated for user, planning information will be visited and be supplied to user.The present invention solves the technical issues of low efficiency as carrying out the management of shops caused by shops's visit by the way of timing.

Description

The intelligent management and device of shops

Technical field

The present invention relates to computer fields, in particular to the intelligent management and device of a kind of shops.

Background technique

With the continuous development of technology, the management of physical stores under line, such as convenience store etc. is also increasingly intelligent.Currently, Part supplier or dealer or third-party platform in order to provide better service to users can be to its commodity of sale Physical stores are visited, such as obtain merchandise sales situation, StoreFront situation, purchase of merchandise demand etc..Here by entity quotient Shop, convenience store etc. are referred to as shops.

Traditional shops's management, generally uses defined mode, carries out visit clothes for example, by using the mode periodically visited Business.For example, carrying out the service in shop in such a way that business personnel's timing is visited.In addition, business personnel is scribe area, need to pass through The mode of fixed frequency is covered, for example, needing to carry out shops's visit according to fixed section mode daily, to realize The mean allocation of resource.These technologies used are also supplied to business personnel generally by simple planning list, can be with It is by mobile phone PUSH message mode or a planning paper.

Existing this visit processing mode generally relies on experience or simple regulation to realize, no matter which type of door Shop is all essentially the same visitor service, and in fact, some shops need more services, and some shops do not need in timing On the other hand this frequent service of door is also damaged on the one hand the shops for needing more to service not allowed to be serviced in time The efficiency of business personnel is lost.

As can be seen that this shops's management is visited by current shops, visit effect can not be promoted well, it is this simple Shops's administrative skill be not obviously able to satisfy the needs of social fast development.It is therefore proposed that a kind of preferably visit processing shops Administrative skill is very important.

Aiming at the problem that the above-mentioned low efficiency as carrying out the management of shops caused by shops's visit by the way of timing, Currently no effective solution has been proposed.

Summary of the invention

The embodiment of the invention provides a kind of intelligent management of shops and devices, at least to solve due to using timing Mode carry out shops caused by shops's visit management low efficiency the technical issues of.

According to an aspect of an embodiment of the present invention, a kind of intelligent management of shops is provided.This method comprises: really It is set at least one shops of user's distribution；The shops's information for obtaining at least one shops and user are at least one shops History information on services；Based on shops's information and history information on services, shops's visit planning information is generated for user, will visit Planning information is supplied to user.

According to another aspect of an embodiment of the present invention, a kind of intelligent management apapratus of shops is additionally provided.The device includes: Determining module, for being determined as at least one shops of user's distribution；Module is obtained, for obtaining the shops of at least one shops The history information on services of information and user at least one shops；Generation module, for being based on shops's information and history service Information is generated for user shops's visit planning information, will visit planning information and be supplied to user.

According to another aspect of an embodiment of the present invention, a kind of storage medium is additionally provided.The storage medium includes storage Program, wherein equipment where control storage medium executes following steps in program operation: being determined as at least the one of user's distribution A shops；The shops's information for obtaining at least one shops and user are to the history information on services of at least one shops；Based on door Shop information and history information on services are generated for user shops's visit planning information, will visit planning information and be supplied to user.

According to another aspect of an embodiment of the present invention, a kind of processor is additionally provided.The processor is used to run program, In, program executes following steps when running: being determined as at least one shops of user's distribution；Obtain the shops of at least one shops The history information on services of information and user at least one shops；It is raw for user based on shops's information and history information on services Planning information is visited at shops, planning information will be visited and be supplied to user.

According to another aspect of an embodiment of the present invention, a kind of mobile terminal is additionally provided.The mobile terminal comprise determining that for At least one shops of user's distribution；The shops's information and user for obtaining at least one shops go through at least one shops History information on services；Based on shops's information and history information on services, shops's visit planning information is generated for user, planning will be visited Information is supplied to user.

In embodiments of the present invention, it is determined as at least one shops of user's distribution；Obtain the shops of at least one shops The history information on services of information and user at least one shops；It is raw for user based on shops's information and history information on services Planning information is visited at shops, planning information will be visited and be supplied to user, so as to avoid door is carried out by the way of timing The problem of shop is visited to realize the technical effect for improving the efficiency of shops's management, and then solves due to using timing Mode carries out the technical issues of low efficiency of the management of shops caused by shops's visit.

Detailed description of the invention

The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:

Fig. 1 is a kind of schematic diagram of mobile terminal according to an embodiment of the present invention；

Fig. 2 is a kind of schematic diagram of the intelligent management structure of shops according to an embodiment of the present invention；

Fig. 3 is a kind of schematic diagram of the structure of single shop Rating Model according to an embodiment of the present invention；

Fig. 4 is a kind of terminal (or mobile device) of the intelligent management of shops according to an embodiment of the present invention Hardware block diagram；

Fig. 5 is a kind of flow chart of the intelligent management of shops according to an embodiment of the present invention；

Fig. 6 is a kind of schematic diagram of the intelligent management apapratus of shops according to an embodiment of the present invention；And

Fig. 7 is the structural block diagram of another mobile terminal according to an embodiment of the present invention.

Specific embodiment

In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work It encloses.

It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, " Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way Data be interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to illustrating herein or Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover Cover it is non-exclusive include, for example, the process, method, system, product or equipment for containing a series of steps or units are not necessarily limited to Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product Or other step or units that equipment is intrinsic.

Embodiment 1

The embodiment of the invention provides a kind of mobile terminals.

Fig. 1 is a kind of schematic diagram of mobile terminal according to an embodiment of the present invention.As shown in Figure 1, the mobile terminal 100 wraps It includes: processor 102 and memory 104.

Processor 102；

Memory 104 is connect with processor 102, for providing the instruction for handling following processing step for processor 102: It is determined as at least one shops of user's distribution；The shops's information for obtaining at least one shops and user are at least one door The history information on services in shop；Based on shops's information and history information on services, shops's visit planning information is generated for user, will visit It visits planning information and is supplied to user.

The processor 102 of the embodiment is connected with memory 104, for receive memory 104 offer be determined as use At least one shops of family distribution；The shops's information for obtaining at least one shops and user are to the history of at least one shops Information on services；Based on shops's information and history information on services, shops's visit planning information is generated for user, planning letter will be visited Breath is supplied to the instruction of user.

The user of the embodiment can be docking personnel, for example, being partner, shops can be shop, the door of each user Shop is different, that is, the service range of each user is different.There is different visit information in different shops, for example, have Shops needs the service of stocking up, then prompts the service of stocking up to user, and some has return of goods demand, then provides return of goods information etc..User Each shops can be visited, that is, partner visits.User can also visit each shops, that is, partner visits It visits.User can have different grades, and when the higher grade of user, the shops's quantity that can be managed is also more, processing Device 102 is determined as at least one shops of user's distribution.

At least one shops of the embodiment has shops's information and history information on services.It is determined as using in processor 102 After at least one shops of family distribution, the shops's information for obtaining at least one shops and user are at least one shops History information on services.Optionally, shops's information of the shops of the embodiment includes at least: commodity are into pin information, consumer information, Wherein, commodity include the information of purchase of merchandise or sales into pin information, and consumer information includes consumption of the consumer in shops Information, including consumption type, consumption preferences etc., no limitations are hereby intended.Optionally, shops's information is also preferential class letter Breath, behavioural information, geographical location information etc., wherein preferential category information can buy the preferential category information of commodity, row for consumer It can be shops's buying and sales behavior category information, consumer transaction behavioural information etc. for information, geographical location information can be Shops's geographical location information.History information on services can be shops's quantity, visit coverage rate of user of user service etc..

The shops's information and history information on services of the embodiment are the foundations for generating shops's visit planning information.Locating Manage device 102 obtain at least one shops shops's information and user to the history information on services of at least one shops after, base In shops's information and history information on services, shops's visit planning information is generated for user, it includes door which, which visits planning information, Route planning is visited in shop, which, which visits route planning, to be visit path.Optionally, user is when multiple shops are visited, With visit sequence, shops visit route planning can serve to indicate that the visit of part shops of the user in multiple shops is suitable Sequence, or it is used to indicate the visit sequence of whole shops of the user in multiple shops, and then visit planning information is supplied to User.

Optionally, visit planning information can also include the customization information of shops's visit, for example, different shops, has Different visit information, some shops need the service of stocking up, then prompt the service of stocking up to user, and some has return of goods demand, then mentions For return of goods information etc..

The embodiment can find the abnormal behaviour of shops according to the real-time buying situation of shops, can carry out in time It visits, without being covered by way of fixed frequency again, to realize the effect for improving the efficiency of shops's management.

At least one shops that the processor 102 of the embodiment is distributed by being determined as user；Obtain at least one shops Shops's information and user to the history information on services of at least one shops；Based on shops's information and history information on services, it is User generates shops and visits planning information, will visit planning information and be supplied to user, so as to avoid by the way of timing The problem of carrying out shops's visit to realize the technical effect for improving the efficiency of shops's management, and then solves due to using The mode of timing carries out the technical issues of low efficiency of the management of shops caused by shops's visit.

Optionally, the processor 102 of the embodiment is connected with memory 104, for receiving the base of the offer of memory 104 Shops's assessment statistical result, the shops's proportion of each shops at least one shops are obtained in shops's information and history information on services Statistical result and shops's distance statistics result；Using shops assessment statistical result, shops proportion statistical result and shops away from From the instruction that statistical result generates shops's visit planning information.

The embodiment is commented based on the shops that shops's information and history information on services obtain each shops at least one shops Estimate statistical result and is used to indicate user to the visit frequency of each shops in multiple shops that platform is user's distribution of stocking up, thus Realize single shop scoring, wherein platform of stocking up can be one-stop platform of stocking up, for example, the one-stop platform of stocking up for stocking up To be sold logical platform, the visit frequency of shops be can be in default measurement period, the shops that each partner is currently managed into The number of row visit.

The embodiment shops proportion statistical result for describe stock up platform be the allocated shops's quantity of user with into Goods platform is the proportionate relationship of user's shops's quantity to be allocated.The platform of stocking up of the embodiment can distribute shops for user, Including allocated shops's quantity, for example, platform of stocking up can be user shops to be allocated for the old shop of user's distribution, for example, New shop is distributed for user, thus shops's matching statistical result can match statistical result for the old and new shop.The shops of the embodiment It can be platform of stocking up with statistical result be the allocated shops's quantity of user and platform of stocking up is user's shops's number to be allocated Ratio between amount, for example, it is C that platform of stocking up, which is the allocated shops's quantity of user, platform of stocking up is user's door to be allocated Shop quantity is D, then shops's proportion statistical result is C/D.

Shops's distance statistics result of the embodiment is for describing the distance between every two shops at least one shops. Shops's distance can be shop distance, refer to the spacing between every two shops.With multiple shops, every two Distance can be all calculated between shops, shops's distance statistics result is a statistical result, for counting every two at least one shops The distance between a shops.

The processor 102 of the embodiment is obtained at least one shops each based on shops's information and history information on services After shops's assessment statistical result of shops, shops match statistical result and shops's distance statistics result, assessed using shops Statistical result, shops's proportion statistical result and shops's distance statistics result generate shops and visit planning information.

Optionally, shops's information includes at least: consumer buys the preferential category information of commodity, shops's buying and sales behavior Category information, consumer transaction behavioural information, shops's geographical location information；History information on services includes at least: the door of user service Shop quantity, the visit coverage rate of user；The processor 102 of the embodiment is connected with memory 104, for receiving memory 104 provide classification integration is carried out to shops's information and history information on services, determine the procurement decisions type, each of each shops Shops is to the revenue impact of stock up platform and user and the growing path of each shops；According to the procurement decisions class of each shops Type, each shops obtain shops's category feature mark to the revenue impact of stock up platform and user and the growing path of each shops Label and user class feature tag；Input data is set by shops's category feature label and user class feature tag, is input to default Assessment models obtain shops's assessment statistical result, with the instruction of the demand for services of each shops of determination.

Optionally, processor 102 acquires basic data, which includes at least: shops's information and history service letter Breath, wherein shops's information includes that consumer buys the preferential category information of commodity, shops's buying and sales behavior category information, consumption Person's trading activity information, shops's geographical location information, optionally, shops's information are the operation number of each shops in multiple shops According to may include shops's subscription data, shops's access log data, shops's transaction data, shops's red packet/benefit data, shops Level data, store address, shop distance, wherein the preferential category information that consumer buys commodity can be shops's red packet/preferential Data, shops's buying can be shops's subscription data with sales behavior category information, and consumer transaction behavioural information can be shops Transaction data, shops's geographical location information can be store address；History information on services includes shops's quantity of user service, uses The visit coverage rate at family, optionally, history information on services are user to the service data of multiple shops, may include partner's private domain Store data, partner's call data etc., wherein shops's quantity of user service may include partner's private domain store data, user Visit coverage rate can be user visit coverage rate.

Optionally, shops's signing refers to the label between every shops and one-stop platform of stocking up (for example, being sold logical platform) About；Shops's access log refers to that shops accesses the record of generation to the official website of one-stop platform of stocking up；Shops's transaction Refer to the purchase behavior that each shops stocks up from one-stop platform of stocking up；Shops's red packet/benefit data refer to each shops from It stocks up the deduction means of the amount of money one-stop platform of the stocking up part that can deduct when stocking up；Shops's grade refers to different grades of shops Corresponding different privilege；Store address refers to the geographical location of each shops；Shop distance is the spacing between every two shops； Partner's private domain store data refers to that the shops that each partner currently manages, shops's (i.e. service range) of each partner's management are each not Identical, different according to the grade of partner, shops's the upper limit of the number that each partner can manage is not also identical, and the grade of partner is got over Height, the shops's quantity that can be managed are more；Partner's visit refers to visit of the partner to each shops.

It is flat to stocking up that the basic data of the embodiment is determined for the procurement decisions type of each shops, each shops Platform and to the revenue impact of user and the growing path of each shops.After processor 102 acquires basic data, to basis Data carry out classification integration, for example, to shops's subscription data, shops's access log data, shops's transaction data, shops's red packet/ Benefit data, shops's level data, store address, shop distance, partner's private domain store data, partner's call data etc. carry out whole It closes, so that it is determined that the procurement decisions type of each shops, each shops are to the revenue impact of stock up platform and user and each The growing path of shops.

The procurement decisions type of the embodiment is used to indicate the used decision-making types when carrying out purchase behavior, this is adopted Purchasing the types of decision-making includes following one: shops's independent procurement, user's driving buying, platform of stocking up promotion driving buying, wherein door Shop independent procurement can purchase for the autonomous period, be that shops is not influenced by user and the behavior independently purchased, user drive Dynamic buying can discharge buying for partner, for the purchase behavior carried out under the influence of user, platform of stocking up promotion driving buying It can be the preferential driving of activity, for the purchase behavior carried out under the influence of stocking up platform promotion.

Each shops of the embodiment can refer to each shops to platform of stocking up the revenue impact of stock up platform and user With the influence degree of the income of user, growing path is used to describe the variation for the buying that each shops stocks up from platform of stocking up Journey, optionally, shops's growing path refer to volumn of purchase that each shops that partner is responsible for stocks up from one-stop platform of stocking up by low To high development course.

Classification integration is being carried out to shops's information and history information on services, is determining the procurement decisions type, every of each shops After a shops is to the revenue impact of stock up platform and user and the growing path of each shops, according to the buying of each shops The types of decision-making, each shops obtain shops's class to the revenue impact of stock up platform and user and the growing path of each shops Feature tag and user class feature tag.Optionally, shops's category feature label of the embodiment includes resources-type label, behavior class Label, objective feelings class label, business rule label etc.；User class feature tag includes storage capacity utilization rate label, the dynamic pin rate mark of shops Label, signing duration label, visit coverage rate label.

Optionally, in shops's category feature label, resources-type label includes red packet label, brand Securities label etc.；Behavior class Label includes procurement cycle label, often buys product promotion label, buying feature tag, after sale label etc., wherein often buying product promotion is If referring to that specific shops is higher to particular category commodity purchasing frequency, such commodity is promoted in one-stop platform of stocking up When situation, the specific shops can be visited by partner, to facilitate the specific shops to buy such commodity, buying is characterized in Refer to that the buying behavior according to shops classifies to shops, for example, being divided into one-stop platform of stocking up can just initiate to purchase when having preferential Buy the shops of behavior, no matter whether one-stop platform of stocking up has the preferential shops that can all initiate buying behavior.

Objective feelings class label in shops's category feature label include retain shops/activation shops/be sunk into sleep shops's label, newly sign door Shop/new distribution shops's label, visit interval label, rival's label etc., wherein retaining that shops refers to periodically can be to one-stop Platform of stocking up initiates the shops of purchase behavior, although activation shops refers to carried out signing with one-stop platform of stocking up Never the shops for initiating purchase behavior, shops of being sunk into sleep, which refers to, previously once initiated purchase behavior to one-stop platform of stocking up, but It is the shops for not initiating purchase behavior to the shops that one-stop platform of stocking up initiates purchase behavior again but later, Xin Qian shops Refer to that the shops for initiating purchase behavior with one-stop platform of stocking up just has completed the shops of signing, the new shops that distributes refers to for partner point The script matched is not belonging to the Xin Qian shops of partner's service range, the time interval of visit spacing value shops visit, rival It mainly include the new access in Jingdone district.

Business rule label in shops's category feature label includes platform task label, monthly rhythm label, strong opening of bid label Deng, wherein platform task refers to that one-stop platform of stocking up initiates times that the shops of purchase behavior issues to partner and specific shops Business, if task is completed, partner and specific shops can all be rewarded accordingly, for example, one-stop platform of stocking up initiates buying The shops of behavior wishes that partner informs that particular commodity (for example, brand toothpaste) is emitted on designated position, monthly section by specific shops Play refer to partner in its service range to the visit sequence of each shops, it is tight first, in accordance with being contacted with one-stop platform of stocking up Density determines the shops originally distributed from high to low, and then visiting one-stop platform of stocking up again is the newly assigned shops of the partner； It opens by force and refers to if a shops of partner management does not trade between one-stop platform of stocking up whithin a period of time Behavior, then this shops, family will turn to be managed by another partner.

Optionally, in user class feature tag, storage capacity utilization rate, which refers to, is determining the bat according to the grade of each partner After shops's the upper limit of the number that shelves can manage, the radiometer of the shops's quantity and shops's the upper limit of the number that currently managed by the partner It is obtaining as a result, for example, the shops's the upper limit of the number that can manage of the partner is 100 shops, and what the partner currently managed Shops's quantity is 80 shops, then storage capacity utilization rate=80 man shops/100 man shops=80%；Shops moves pin rate and refers to Trading activity occurred between one-stop platform of stocking up in shops's quantity that each partner currently manages in default measurement period Shops's quantity account for the ratio of shops's quantity that each partner currently manages, for example, shops's quantity that the partner currently manages is 80 shops, and in one month measurement period, have and trading activity occurred between 40 shops and one-stop platform of stocking up, So pin rate=40 man shops/80 man shops=50% moves in shops；Signing duration refers to every shops and one-stop platform (example of stocking up Such as, be sold logical platform) between signing duration；Visit coverage rate refers to that each partner currently manages in default measurement period Shops's quantity in shops's quantity for having visited account for the ratio of the shops's quantity currently managed, for example, each bat in 1 day Shops's quantity that shelves currently manage is A, and the shops's quantity visited is B, then A/B is the visit coverage rate of shops.

Processor 102 is after obtaining shops's category feature label and user class feature tag, by above-mentioned shops's category feature mark Label are set as input data with above-mentioned user class feature tag, which is input to default assessment models, by default Assessment models assess input data, so that shops's assessment statistical result is obtained, to indicate user to platform of stocking up for use The visit frequency of each shops in multiple shops of family distribution, and then determine the demand for services of each shops.

Optionally, the default assessment models for obtaining shops's assessment statistical result can be linear regression model (LRM), iteration Any model in decision-tree model and deep learning model, alternatively, default assessment models are linear regression model (LRM), iteration is determined Model made of at least two Model Fusions in plan tree-model and deep learning model.Wherein, linear regression model (LRM) has It is assumed that be not directed to overall distribution form, for example, often assume in regression analysis analysis object be represented by some influences because The linear function of element；Iteration decision-tree model is made of more decision trees, and it is exactly most that the output result of all trees, which adds up, The model of whole answer；Deep learning model is that more abstract high-rise expression attribute classification or spy are formed by combination low-level feature Sign, to find model that the distributed nature of data indicates.Optionally, which merges model, can be to linear Fusion, the fusion of iteration decision-tree model, deep learning Model Fusion are returned, or carries out hierarchical fusion, to realize to input The overall merit of data.

Optionally, the processor 102 of the embodiment is connected with memory 104, for receiving the root of the offer of memory 104 It is determined as shops's the upper limit of the number of user's distribution according to the grade of user；Using the shops of shops's the upper limit of the number and at least one shops The shops quantity to be allocated for user is calculated in quantity；Calculate at least one shops shops's quantity and shops's number to be allocated The ratio of amount obtains the instruction of shops's proportion statistical result.

In this embodiment, when processor 102 obtains shops's distance statistics result, the grade of available user, root It is determined as shops's the upper limit of the number of user's distribution according to the grade of user, wherein the grade of each user is different, and each user can Shops's the upper limit of the number of management is not also identical, and the higher grade of user, and the shops's quantity that can be managed is also more.In processor 102 are determined as after shops's the upper limit of the number of user's distribution according to the grade of user, and obtaining platform of stocking up is that user is allocated The shops number to be allocated for user is calculated according to shops's quantity of shops's the upper limit of the number and at least one shops in shops's quantity Amount, for example, docking the allocated shops's quantity of personnel with platform is stocked up according to shops's the upper limit of the number is calculated platform of stocking up It can be the difference of the allocated shops's quantity of user by shops's the upper limit of the number and platform of stocking up for shops's quantity that user is to be allocated It is determined as the platform shops quantity to be allocated for user of stocking up.In processor 102 using shops's the upper limit of the number and at least one door Shops's quantity in shop is calculated as after user's shops's quantity to be allocated, processor 102 calculates the door of at least one shops The ratio of shop quantity and shops's quantity to be allocated obtains the instruction of shops's proportion statistical result, for example, platform of stocking up is user Allocated shops's quantity is A, and platform of stocking up is that user's shops's quantity to be allocated is B, then A/B is determined as shops's proportion system Meter is as a result, so that it is determined that platform of stocking up is the allocated shops's quantity of user and platform of stocking up is user's shops's quantity to be allocated Proportionate relationship.

Optionally, the processor 102 of the embodiment is connected with memory 104, for receiving the root of the offer of memory 104 The distance between every two shops at least one shops is calculated according to the geographical location information of each shops at least one shops； Two-dimensional distance relation table is generated using calculated distance data, obtains the instruction of shops's distance statistics result.

In this embodiment, platform of stocking up is that each shops of user's distribution has geographical location information, the geographical location Information namely store address are used to indicate the geographical location of each shops.Shops's distance statistics result is obtained in processor 102 When, acquire the geographical location information of each shops in multiple shops that platform is user's distribution of stocking up.Processor 102 acquire into Goods platform is in multiple shops of user's distribution after the geographical location information of each shops, according to getting at least one shops In the geographical location information of each shops calculate the distance between every two shops at least one shops, that is, base area Manage the shop distance in the multiple shops of positional information calculation between every two shops.In processor 102 according to getting at least The geographical location information of each shops calculates at least one shops after the distance between every two shops in one shops, can To generate two-dimensional distance relation table using calculated distance data, which can be shop apart from square Battle array, to obtain shops's distance statistics result.

Optionally, the processor 102 of the embodiment is connected with memory 104, provides acquisition for receiving memory 104 And shops assesses the corresponding first default weighted value of statistical result, statistical result is matched with shops corresponding second default weighted value And third corresponding with shops's distance statistics result presets weighted value；Using shops's assessment statistical result and the first default weight The product and shops's distance statistics result and third of the product of value, shops's proportion statistical result and the second default weighted value are preset The product of weighted value is weighted summation operation, generates shops and visits planning information, to indicate user at least one shops Visit the instruction of the demand for services of path and each shops.

In this embodiment, shops's assessment statistical result, shops's proportion statistical result and shops's distance statistics result pair Answer different weighted values.In processor 102 using shops's assessment statistical result, shops's proportion statistical result and shops's distance system When counting result generation shops visit planning information, processor 102 is based on shops's information and history information on services obtains shops's assessment Statistical result, shops's proportion statistical result and shops's distance statistics result corresponding with shops's assessment statistical result first are preset Weighted value and shops's proportion corresponding second default weighted value of statistical result and third corresponding with shops's distance statistics result Default weighted value, wherein the first default weighted value can serve to indicate that shops's assessment statistical result is generating shops's visit route Relative importance in planning, the second default weighted value can serve to indicate that shops's proportion statistical result is generating shops's visit Relative importance in route planning, third, which presets weighted value, can serve to indicate that shops's distance statistics result is generating shops Visit the relative importance in route planning.It is default that corresponding with shops's assessment statistical result first is obtained in processor 102 Weighted value and shops's proportion corresponding second default weighted value of statistical result and third corresponding with shops's distance statistics result After default weighted value, processor 102 is united using shops's assessment statistical result and the product of the first default weighted value, shops's proportion The product that the product and shops's distance statistics result and third of meter result and the second default weighted value preset weighted value is added Summation operation is weighed, to generate shops's visit route planning, to indicate user to the visit path of at least one shops and every The demand for services of a shops.Shops's discharge course planning can be optimal call plan, count to be assessed by shops As a result, shops's proportion statistical result and shops's distance statistics result generate shops and visit planning information, so as to avoid use The mode of timing carries out the problem of shops's visit, to realize the technical effect for improving the efficiency of shops's management, and then solves The technical issues of low efficiency as carrying out by the way of timing the management of shops caused by shops's visit.

Technical solution of the present invention is illustrated below with reference to preferred embodiment.

Fig. 2 is a kind of schematic diagram of the intelligent management structure of shops according to an embodiment of the present invention.As shown in Fig. 2, can be with First obtain shops's subscription data, shops's access log data, shops's transaction data, shops's red packet/benefit data, shops's number of degrees According to basic datas such as, partner's private domain store data, partner's call data, store address & distance, shop distances, to basic data Carry out classification integration, determine the procurement decisions type of each shops, each shops to the revenue impact of stock up platform and user with And the growing path of each shops；According to the procurement decisions type of each shops, each shops to the receipts of stock up platform and user Benefit influences and the growing path of each shops, obtains resources-type label, behavior class label, objective feelings class label, business rule mark The feature tags such as pin rate label, signing duration label, visit coverage rate label move in label, storage capacity utilization rate label, shops.

Optionally, in shops's category feature label, resources-type label includes red packet label, brand Securities label etc.；Behavior class Label includes procurement cycle label, often buys product promotion label, buying feature tag, after sale label etc..

Objective feelings class label in shops's category feature label include retain shops/activation shops/be sunk into sleep shops's label, newly sign door Shop/new distribution shops's label, visit interval label, rival's label etc..

Business rule label in shops's category feature label includes platform task label, monthly rhythm label, strong opening of bid label Deng.

Optionally, in partner's feature tag, including storage capacity utilization rate；Dynamic pin rate, signing duration, visit coverage rate.

After obtaining feature tag, input data is set for feature tag according to model algorithm, single shop is input to and comments Sub-model obtains single shop appraisal result according to model algorithm.The embodiment matches model according to the grade of user by the old and new shop It is determined as shops's the upper limit of the number of user's distribution, is calculated using shops's the upper limit of the number and shops's quantity of at least one shops For shops's quantity that user is to be allocated, shops's quantity of at least one shops and the ratio of shops's quantity to be allocated are calculated, is obtained Result is matched to the old and new shop；The embodiment can also acquire multiple doors that platform is user's distribution of stocking up by shop distance matrix The geographical location information of each shops in shop, according to the geographical location information meter of each shops at least one shops got The distance between every two shops at least one shops is calculated, generates two-dimensional distance relationship using calculated distance data Table, to obtain shops's distance matrix.

After getting single shop appraisal result, the old and new shop proportion result, shops's distance matrix according to model algorithm, obtain And the corresponding first default weighted value of single shop appraisal result, the second default weighted value corresponding with the old and new shop proportion result and with The corresponding third of shops's distance matrix presets weighted value；Using single shop appraisal result and the product of the first default weighted value, the old and new The product that shop proportion result and the product and shops's distance matrix and third of the second default weighted value preset weighted value is added Summation operation is weighed, to generate shops's call plan.

Fig. 3 is a kind of schematic diagram of the structure of single shop Rating Model according to an embodiment of the present invention.As shown in figure 3, the reality Applying example includes data introducing and preparation, data analysis, Feature Engineering, model, Model Fusion, assessment and optimization.

Optionally, which can introduce and prepare to be sold logical data, high moral data when data introduce & preparation；? When data are analyzed, it can be driven and be classified with shop, for example, discharging buying, the preferential driving of activity etc., quotient from primary period buying, partner Shop classification includes classification to being taken according to partner, further includes shop growing path according to the classification that platform carries out, the shop at Long path refers to the development course purchased from low to high that each shops that partner is responsible for stocks up from one-stop platform of stocking up.

Optionally, the Feature Engineering of the embodiment includes Store trait, log transaction (buying), marketing activity, Pai Dangbai It visits, partner's feature.

Optionally, the model of the embodiment may include linear regression model (LRM), iteration decision-tree model and deep learning One of model model carries out overall merit to the data of input, can also be linear regression model (LRM), iteration decision-tree model And model made of at least two Model Fusions in deep learning model, for example, include the fusion of linear regression model (LRM), including The fusion etc. of iteration decision-tree model can carry out hierarchical fusion to model, realize the overall merit to data.Finally to model It is assessed and is optimized, for example, being monitored and analyzing to model, routine analysis and amendment etc. are visitd with the shops for generating optimal Visit plan.

The embodiment can help business personnel to carry out by the distance between the acquisition real-time purchase behavior combination in shop shop Call plan, to promote business personnel's efficiency, can by the real-time buying situation in shop, it can be found that shop abnormal behaviour, because This can timely visit, without being covered by way of fixed frequency again, to improve shops's management Efficiency.

Embodiment 2

According to embodiments of the present invention, a kind of embodiment of the intelligent management of shops is additionally provided, it should be noted that Step shown in the flowchart of the accompanying drawings can execute in a computer system such as a set of computer executable instructions, and It, in some cases, can be to be different from sequence execution institute herein and although logical order is shown in flow charts The step of showing or describing.

Embodiment of the method provided by the embodiment of the present application can be in mobile terminal, terminal or similar operation It is executed in device.Fig. 4 be a kind of intelligent management of shops according to an embodiment of the present invention terminal (or movement set It is standby) hardware block diagram.As shown in figure 4, terminal 40 (or mobile device 40) may include one or more (in figure Using 402a, 402b ... ..., 402n is shown) (processor 402 can include but is not limited to Micro-processor MCV to processor 402 Or the processing unit of programmable logic device FPGA etc.), memory 404 for storing data and for communication function Transmitting device 406.It in addition to this, can also include: display, input/output interface (I/O interface), universal serial bus (USB) port (a port that can be used as in the port of I/O interface is included), network interface, power supply and/or camera.This Field those of ordinary skill is appreciated that structure shown in Fig. 4 is only to illustrate, and does not cause to the structure of above-mentioned electronic device It limits.For example, terminal 40 may also include than shown in Fig. 4 more perhaps less component or have with shown in Fig. 4 Different configurations.

It is to be noted that said one or multiple processors 402 and/or other data processing circuits lead to herein Can often " data processing circuit " be referred to as.The data processing circuit all or part of can be presented as software, hardware, firmware Or any other combination.In addition, data processing circuit for single independent processing module or all or part of can be integrated to meter In any one in other elements in calculation machine terminal 40 (or mobile device).As involved in the embodiment of the present application, The data processing circuit controls (such as the selection for the variable resistance end path connecting with interface) as a kind of processor.

Memory 404 can be used for storing the software program and module of application software, such as the shops in the embodiment of the present invention The corresponding program instruction/data storage device of intelligent management, processor 402 by operation is stored in memory 404 Software program and module realize the door of above-mentioned application program thereby executing various function application and data processing The intelligent management in shop.Memory 404 may include high speed random access memory, may also include nonvolatile memory, such as one Or multiple magnetic storage devices, flash memory or other non-volatile solid state memories.In some instances, memory 404 can It further comprise the memory remotely located relative to processor 402, these remote memories can pass through network connection to meter Calculation machine terminal 40.The example of above-mentioned network include but is not limited to internet, intranet, local area network, mobile radio communication and its Combination.

Transmitting device 406 is used to that data to be received or sent via a network.Above-mentioned network specific example may include The wireless network that the communication providers of terminal 40 provide.In an example, transmitting device 406 includes that a network is suitable Orchestration (Network Interface Controller, NIC), can be connected by base station with other network equipments so as to Internet is communicated.In an example, transmitting device 406 can be radio frequency (Radio Frequency, RF) module, For wirelessly being communicated with internet.

Herein it should be noted that in some optional embodiments, above-mentioned computer equipment shown in Fig. 4 (or movement is set It is standby) it may include hardware element (including circuit), software element (including the computer generation that may be stored on the computer-readable medium Code) or both hardware element and software element combination.It should be pointed out that Fig. 4 is only a reality of particular embodiment Example, and it is intended to show that the type for the component that may be present in above-mentioned computer equipment (or mobile device).

Under above-mentioned running environment, this application provides the intelligent managements of shops as shown in Figure 5.It needs to illustrate Be, the intelligent management of the shops of the embodiment can embodiment as shown in Figure 4 mobile terminal execution.

Fig. 5 is a kind of flow chart of the intelligent management of shops according to an embodiment of the present invention.As shown in figure 5, the party Method the following steps are included:

Step S502 is determined as at least one shops of user's distribution.

In the technical solution that above-mentioned steps S502 of the present invention is provided, user can be docking personnel, for example, be partner, Shops can be shop, and the shops of each user is different, that is, the service range of each user is different.Different shops, There is different visit information, for example, some shops need the service of stocking up, then prompts the service of stocking up to user, some there are the return of goods to need It asks, then return of goods information etc. is provided.User can also visit each shops, that is, partner visits.User can also be to each Shops, family is visited, that is, partner visits.User can have different grades, when the higher grade of user, Neng Gouguan Shops's quantity of reason is also more, is determined as at least one shops of user's distribution.

Step S504 is determined as at least one shops of user's distribution.

In the technical solution that above-mentioned steps S504 of the present invention is provided, there is shops's information and history to take at least one shops Business information.After at least one shops for being determined as user's distribution, shops's information and the user of at least one shops are obtained To the history information on services of at least one shops.Optionally, shops's information of the shops of the embodiment includes at least: commodity are into pin Information, consumer information, wherein commodity include the information of purchase of merchandise or sales into pin information, and consumer information includes consumption Person is in the information of the consumption of shops, and including consumption type, consumption preferences etc., no limitations are hereby intended.Optionally, shops Information is also preferential category information, behavioural information, geographical location information etc., wherein preferential category information can buy quotient for consumer The preferential category information of product, behavioural information can be shops's buying and sales behavior category information, consumer transaction behavioural information etc., ground Managing location information can be shops's geographical location information.History information on services can be shops's quantity of user service, user Visit coverage rate etc..

Step S506 is based on shops's information and history information on services, and shops's visit planning information is generated for user, will visit It visits planning information and is supplied to user.

In the technical solution that above-mentioned steps S506 of the present invention is provided, the shops's information and history information on services of the embodiment It is the foundation for generating shops's visit planning information.In the shops's information and user for obtaining at least one shops at least After the history information on services of one shops, it is based on shops's information and history information on services, shops's visit planning is generated for user Information, shops visit planning information include shops's visit route planning, which, which visits route planning, to be visit path. Optionally, user has visit sequence when multiple shops are visited, and shops visit route planning can serve to indicate that user exists Part shops in multiple shops visit sequence, or be used to indicate whole shops of the user in multiple shops visit it is suitable Sequence, and then visit planning information is supplied to user.

It is determined as at least one shops of user's distribution；The shops's information for obtaining at least one shops and user are to extremely The history information on services of a few shops；Based on shops's information and history information on services, shops's visit planning letter is generated for user Breath, will visit planning information and be supplied to user, so as to avoid the problem of shops's visit is carried out by the way of timing, thus The technical effect for improving the efficiency of shops's management is realized, and then solves and is made due to carrying out shops's visit by the way of timing At shops management low efficiency the technical issues of.

As an alternative embodiment, generating shops based on shops's information and history information on services visits planning information Include: based on shops's information and history information on services obtain each shops at least one shops shops assessment statistical result, Shops matches statistical result and shops's distance statistics result；Use shops assessment statistical result, shops proportion statistical result with And shops's distance statistics result generates shops and visits planning information.

The embodiment is commented based on the shops that shops's information and history information on services obtain each shops at least one shops Estimate statistical result, shops's proportion statistical result and shops's distance statistics result.Wherein, shops's assessment statistical result is used to indicate User is to the visit frequency of each shops in multiple shops that platform is user's distribution of stocking up, and shops's proportion statistical result is for retouching Stating platform of stocking up is the allocated shops's quantity of user and the proportionate relationship that platform is user's shops's quantity to be allocated of stocking up, door Shop distance statistics result is for describing the distance between every two shops at least one shops.

In this embodiment, the door of each shops at least one shops is obtained based on shops's information and history information on services Assess the instruction of statistical result, shops's proportion statistical result and shops's distance statistics result in shop.The shops of the embodiment assesses Statistical result is used to indicate user to the visit frequency of each shops in multiple shops that platform is user's distribution of stocking up, thus real Now single shop scoring.Wherein, platform of stocking up can be one-stop platform of stocking up, for example, the one-stop platform of stocking up is for stocking up It is sold logical platform；The visit frequency of shops can be in default measurement period, carry out to the shops that each partner currently manages The number of visit.

In the shops's assessment statistics for obtaining each shops at least one shops based on shops's information and history information on services As a result, after shops matches statistical result and shops's distance statistics result, using shops's assessment statistical result, shops's proportion system It counts result and shops's distance statistics result generates shops and visits planning information.Route planning is visited by the shops, that is, shops is visitd Plan is visited, user has visit sequence when multiple shops are visited, and shops's visit route planning can serve to indicate that user exists Part shops in multiple shops visit sequence, or be used to indicate whole shops of the user in multiple shops visit it is suitable Sequence.

As an alternative embodiment, shops's information includes at least: preferential category information, the door of consumer's purchase commodity Shop buying and sales behavior category information, consumer transaction behavioural information, shops's geographical location information；History information on services at least wraps It includes: shops's quantity, the visit coverage rate of user of user service；Shops's assessment statistics is obtained based on shops's information and historical information Result includes: to carry out classification integration to shops's information and history information on services, determines the procurement decisions type, each of each shops Shops is to the revenue impact of stock up platform and user and the growing path of each shops, wherein procurement decisions type include with One of lower: shops's independent procurement, user's driving buying, platform of stocking up promotion driving buying, growing path is for describing each door The volumn of purchase change procedure that shop is stocked up from platform of stocking up；It is flat to stocking up according to the procurement decisions type of each shops, each shops The growing path of the revenue impact and each shops of platform and user obtains shops's category feature label and user class feature tag； Input data is set by shops's category feature label and user class feature tag, default assessment models is input to, obtains shops and comment Statistical result is estimated, with the demand for services of each shops of determination.

Optionally, basic data is acquired, which includes at least: shops's information and history information on services, wherein door Shop information includes that consumer buys the preferential category information of commodity, shops's buying and sales behavior category information, consumer transaction behavior Information, shops's geographical location information, optionally, shops's information are the operation data of each shops in multiple shops, may include Shops's subscription data, shops's access log data, shops's transaction data, shops's red packet/benefit data, shops's level data, shop Floor file location, shop distance, wherein the preferential category information that consumer buys commodity can be shops's red packet/benefit data, and shops adopts Purchase can be shops's subscription data with sales behavior category information, and consumer transaction behavioural information can be shops's transaction data, door Shop geographical location information can be store address；History information on services includes that the visit of the shops's quantity, user of user service is covered Lid rate, optionally, history information on services are user to the service datas of multiple shops, may include partner's private domain store data, Partner's call data etc., wherein shops's quantity of user service may include partner's private domain store data, the visit covering of user Rate can be the visit coverage rate of user.

It is flat to stocking up that the basic data of the embodiment is determined for the procurement decisions type of each shops, each shops Platform and to the revenue impact of user and the growing path of each shops.After acquiring basic data, basic data is carried out Classification integration, for example, to shops's subscription data, shops's access log data, shops's transaction data, shops's red packet/benefit data, Shops's level data, store address, shop distance, partner's private domain store data, partner's call data etc. are integrated, thus really The procurement decisions type of each shops, each shops are to the revenue impact of stock up platform and user and the growth of each shops calmly Path.

After obtaining shops's category feature label and user class feature tag, by above-mentioned shops's category feature label and above-mentioned use Family category feature label is set as input data, which is input to default assessment models, by presetting assessment models pair Input data is assessed, so that shops's assessment statistical result is obtained, to indicate that user is the more of user's distribution to platform of stocking up The visit frequency of each shops in a shops, and then determine the demand for services of each shops.

As an alternative embodiment, default assessment models be linear regression model (LRM), iteration decision-tree model and Any model in deep learning model, alternatively, default assessment models are linear regression model (LRM), iteration decision-tree model and depth Spend model made of at least two Model Fusions in learning model.

The default assessment models that the embodiment is used to obtain shops's assessment statistical result can be linear regression model (LRM), iteration Any model in decision-tree model and deep learning model, alternatively, default assessment models are linear regression model (LRM), iteration is determined Model made of at least two Model Fusions in plan tree-model and deep learning model.Wherein, linear regression model (LRM) has It is assumed that be not directed to overall distribution form, for example, often assume in regression analysis analysis object be represented by some influences because The linear function of element；Iteration decision-tree model is made of more decision trees, and it is exactly most that the output result of all trees, which adds up, The model of whole answer；Deep learning model is that more abstract high-rise expression attribute classification or spy are formed by combination low-level feature Sign, to find model that the distributed nature of data indicates.Optionally, which merges model, can be to linear Fusion, the fusion of iteration decision-tree model, deep learning Model Fusion are returned, or carries out hierarchical fusion, to realize to input The overall merit of data.

As an alternative embodiment, obtaining shops's proportion statistical result includes: to be determined as according to the grade of user Shops's the upper limit of the number of user's distribution；Shops's the upper limit of the number and shops's quantity of at least one shops is used to be calculated as user Shops's quantity to be allocated；Shops's quantity of at least one shops and the ratio of shops's quantity to be allocated are calculated, shops is obtained Match statistical result.

In this embodiment, when obtaining shops's distance statistics result, the grade of available user, according to user etc. Grade is determined as shops's the upper limit of the number of user's distribution, wherein the grade of each user is different, the shops that each user can manage The upper limit of the number is not also identical, and the higher grade of user, and the shops's quantity that can be managed is also more.True according to the grade of user It is set to after shops's the upper limit of the number of user's distribution, acquisition stocks up platform for the allocated shops's quantity of user, according to shops's number The shops quantity to be allocated for user is calculated in the amount upper limit and shops's quantity of at least one shops, for example, according to shops's number The amount upper limit and platform of stocking up are that platform of stocking up is calculated is user shops to be allocated to the allocated shops's quantity of the personnel of docking It is use that shops's the upper limit of the number and platform of stocking up can be the difference platform that is determined as stocking up of the allocated shops's quantity of user by quantity Family shops's quantity to be allocated.It is waited for using shops quantity of shops's the upper limit of the number at least one shops to be calculated for user After shops's quantity of distribution, shops's quantity of at least one shops and the ratio of shops's quantity to be allocated are calculated, door is obtained Shop matches the instruction of statistical result, for example, it is A that platform of stocking up, which is the allocated shops's quantity of user, platform of stocking up waits for for user Shops's quantity of distribution is B, then A/B is determined as shops's proportion statistical result, so that it is determined that platform of stocking up is that user has distributed Shops's quantity and the proportionate relationship that platform is user's shops's quantity to be allocated of stocking up.

As an alternative embodiment, obtaining shops's distance statistics result includes: according to every at least one shops The geographical location information of a shops calculates the distance between every two shops at least one shops；Using calculated distance Data generate two-dimensional distance relation table, obtain shops's distance statistics result.

In this embodiment, platform of stocking up is that each shops of user's distribution has geographical location information, the geographical location Information namely store address are used to indicate the geographical location of each shops.When obtaining shops's distance statistics result, acquisition is stocked up Platform is the geographical location information of each shops in multiple shops of user's distribution.Platform is stocked up in acquisition as the more of user's distribution In a shops after the geographical location information of each shops, according to the geographical location information meter of shops each at least one shops The distance between every two shops at least one shops is calculated, that is, according to every two in the multiple shops of geographical positional information calculation Shop distance between a shops.At least one door is being calculated according to the geographical location information of shops each at least one shops After the distance between Dian Zhong every two shops, two-dimensional distance relation table can be generated using calculated distance data, it should Two-dimensional distance relation table can be shop distance matrix, to obtain shops's distance statistics result.

As an alternative embodiment, using shops's assessment statistical result, shops's proportion statistical result and shops It includes: acquisition the first default weight corresponding with shops's assessment statistical result that distance statistics result, which generates shops's visit planning information, Value and shops's proportion corresponding second default weighted value of statistical result and third corresponding with shops's distance statistics result are default Weighted value；It is default using shops's assessment statistical result and the product of the first default weighted value, shops's proportion statistical result and second The product that the product and shops's distance statistics result and third of weighted value preset weighted value is weighted summation operation, generates door Planning information is visited in shop, to indicate user to the visit path of at least one shops and the demand for services of each shops.

In this embodiment, shops's assessment statistical result, shops's proportion statistical result and shops's distance statistics result pair Answer different weighted values.Raw using shops's assessment statistical result, shops's proportion statistical result and shops's distance statistics result When visiting planning information at shops, the door of each shops at least one shops is obtained based on shops's information and history information on services Statistical result is assessed in shop, shops's proportion statistical result and shops's distance statistics result and shops assess statistical result corresponding the It is one default weighted value, corresponding with shops's corresponding second default weighted value of proportion statistical result and with shops's distance statistics result Third preset weighted value, wherein the first default weighted value can serve to indicate that shops assessment statistical result generate shops visit The relative importance in route planning is visited, the second default weighted value can serve to indicate that shops's proportion statistical result is generating door The relative importance in route planning is visited in shop, and third, which presets weighted value, can serve to indicate that shops's distance statistics result in life At the relative importance in shops's visit route planning.Obtaining the first default weight corresponding with shops's assessment statistical result Value and shops's proportion corresponding second default weighted value of statistical result and third corresponding with shops's distance statistics result are default After weighted value, using shops's assessment statistical result and the product of the first default weighted value, shops's proportion statistical result and second The product that the product and shops's distance statistics result and third of default weighted value preset weighted value is weighted summation operation, from And shops's visit route planning is generated, shops's discharge course planning can be optimal call plan, to be commented by shops Estimate statistical result, shops's proportion statistical result and shops's distance statistics result and generate shops's visit planning information, to avoid Carry out the problem of shops's visit by the way of timing, so that the technical effect for improving the efficiency of shops's management is realized, into And solves the technical issues of low efficiency as carrying out the management of shops caused by shops's visit by the way of timing.

It should be noted that for the various method embodiments described above, for simple description, therefore, it is stated as a series of Combination of actions, but those skilled in the art should understand that, the present invention is not limited by the sequence of acts described because According to the present invention, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know It knows, the embodiments described in the specification are all preferred embodiments, and related actions and modules is not necessarily of the invention It is necessary.

Through the above description of the embodiments, those skilled in the art can be understood that according to above-mentioned implementation The method of example can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but it is very much In the case of the former be more preferably embodiment.Based on this understanding, technical solution of the present invention is substantially in other words to existing The part that technology contributes can be embodied in the form of software products, which is stored in a storage In medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal device (can be mobile phone, calculate Machine, server or network equipment etc.) execute method described in each embodiment of the present invention.

Embodiment 3

According to embodiments of the present invention, it additionally provides a kind of for implementing the intelligent management of above-mentioned shops shown in fig. 5 Shops intelligent management apapratus.Fig. 6 is a kind of schematic diagram of the intelligent management apapratus of shops according to an embodiment of the present invention.Such as Shown in Fig. 6, which may include: determining module 601, obtains module 602 and generation module 603.

Determining module 601, for being determined as at least one shops of user's distribution.

Module 602 is obtained, shops's information and user for obtaining at least one shops go through at least one shops History information on services.

Shops's visit planning letter is generated for user for being based on shops's information and history information on services in generation module 603 Breath, will visit planning information and be supplied to user.

Optionally, generation module 603 includes: acquiring unit 604, for being obtained based on shops's information and history information on services Shops's assessment statistical result, shops's proportion statistical result and the shops's distance statistics knot of each shops at least one shops Fruit；Generation unit 605, for using shops's assessment statistical result, shops's proportion statistical result and shops's distance statistics result It generates shops and visits planning information.

Optionally, shops's information includes at least: consumer buys the preferential category information of commodity, shops's buying and sales behavior Category information, consumer transaction behavioural information, shops's geographical location information；History information on services includes at least: the door of user service Shop quantity, the visit coverage rate of user；Acquiring unit 604 includes: analysis subelement 606, for taking to shops's information and history Business information carries out classification integration, determines the procurement decisions type of each shops, each shops to the income of stock up platform and user The growing path of influence and each shops, wherein procurement decisions type includes following one: shops's independent procurement, user drive Dynamic buying, platform of stocking up promotion driving buying, growing path are used to describe the volumn of purchase that each shops stocks up from platform of stocking up and become Change process；First obtains subelement 607, for according to the procurement decisions type of each shops, each shops to stock up platform and The revenue impact of user and the growing path of each shops obtain shops's category feature label and user class feature tag；Second Subelement 608 is obtained, for setting input data for shops's category feature label and user class feature tag, is input to default comment Estimate model, shops's assessment statistical result is obtained, with the demand for services of each shops of determination.

Optionally, presetting assessment models is in linear regression model (LRM), iteration decision-tree model and deep learning model Any model, alternatively, default assessment models be in linear regression model (LRM), iteration decision-tree model and deep learning model at least Model made of two Model Fusions.

Optionally, acquiring unit 604 comprises determining that subelement 609, is determined as user's distribution for the grade according to user Shops's the upper limit of the number；First computation subunit 610, for shops's quantity using shops's the upper limit of the number and at least one shops The shops quantity to be allocated for user is calculated；Third obtains subelement 611, for calculating shops's number of at least one shops The ratio of amount and shops's quantity to be allocated obtains shops's proportion statistical result.

Optionally, acquiring unit 604 includes: the second computation subunit 612, for according to door each at least one shops The geographical location information in shop calculates the distance between every two shops at least one shops；Third computation subunit 613, is used for Two-dimensional distance relation table is generated using calculated distance data, obtains shops's distance statistics result.

Optionally, generation unit 605 includes: the 4th acquisition subelement 614, assesses statistical result pair with shops for obtaining The default weighted value of first answered, with shops's corresponding second default weighted value of proportion statistical result and with shops's distance statistics knot The corresponding third of fruit presets weighted value；Subelement 615 is generated, for using shops's assessment statistical result and the first default weighted value Product, the product and shops's distance statistics result and third of shops's proportion statistical result and the second default weighted value are default weighs The product of weight values is weighted summation operation, generates shops and visits planning information, to indicate that user visits at least one shops Visit the demand for services of path and each shops.

Herein it should be noted that above-mentioned determining module 601, acquisition module 602 and generation module 603 correspond to embodiment Step S502 to step S506 in 2, the example and application scenarios that two modules and corresponding step are realized are identical but unlimited In one disclosure of that of above-described embodiment.It should be noted that above-mentioned module may operate in reality as a part of device In the terminal 40 that the offer of example 2 is provided.

The embodiment is determined as at least one shops of user's distribution by determining module 601, is obtained by obtaining module 602 The shops's information for taking at least one shops and user pass through generation module 603 to the history information on services of at least one shops Based on shops's information and history information on services, shops's visit planning information is generated for user, planning information will be visited and be supplied to User, so as to avoid the problem of shops's visit is carried out by the way of timing, to realize the efficiency for improving shops's management Technical effect, and then solve as carried out by the way of timing shops caused by shops's visit management low efficiency skill Art problem.

Embodiment 3

The embodiment of the present invention can provide a kind of terminal, which can be in terminal group Any one computer terminal.Optionally, in the present embodiment, above-mentioned terminal also could alternatively be mobile whole The terminal devices such as end.

Optionally, in the present embodiment, above-mentioned terminal can be located in multiple network equipments of computer network At least one network equipment.

In the present embodiment, above-mentioned terminal can be with following in the intelligent management of the shops of executing application The program code of step: it is determined as at least one shops of user's distribution；Obtain shops's information of at least one shops, Yi Jiyong History information on services of the family at least one shops；Based on shops's information and history information on services, shops's visit is generated for user Planning information will visit planning information and be supplied to user.

Optionally, Fig. 7 is the structural block diagram of another mobile terminal according to an embodiment of the present invention.As shown in fig. 7, the shifting Dynamic terminal A may include: one or more (one is only shown in figure) processors 702, memory 704 and transmitting device 706。

Wherein, memory can be used for storing software program and module, such as the intelligence pipe of the shops in the embodiment of the present invention Corresponding program instruction/the module of method and apparatus is managed, processor is by running the software program being stored in memory and mould Block realizes the intelligent management of above-mentioned shops thereby executing various function application and data processing.Memory can wrap Include high speed random access memory, can also include nonvolatile memory, as one or more magnetic storage device, flash memory or Other non-volatile solid state memories of person.In some instances, memory can further comprise remotely located relative to processor Memory, these remote memories can pass through network connection to mobile terminal A.The example of above-mentioned network includes but is not limited to Internet, intranet, local area network, mobile radio communication and combinations thereof.

Processor can call the information and application program of memory storage by transmitting device, to execute following step: It is determined as at least one shops of user's distribution；The shops's information for obtaining at least one shops and user are at least one door The history information on services in shop；Based on shops's information and history information on services, shops's visit planning information is generated for user, will visit It visits planning information and is supplied to user.

Optionally, the program code of following steps can also be performed in above-mentioned processor: being based on shops's information and history service Shops's assessment statistical result, shops's proportion statistical result and the shops's distance of each shops at least one shops of acquisition of information Statistical result；Shops is generated using shops's assessment statistical result, shops's proportion statistical result and shops's distance statistics result to visit Visit planning information.

Optionally, the program code of following steps can also be performed in above-mentioned processor: to shops's information and history service letter Breath carries out classification integration, determines the procurement decisions type of each shops, each shops to the revenue impact of stock up platform and user And the growing path of each shops, wherein procurement decisions type includes following one: shops's independent procurement, user's driving are adopted It purchases, platform of stocking up promotion driving buying, growing path changed for describing each shops from the volumn of purchase that platform of stocking up is stocked up Journey；Revenue impact and each shops according to the procurement decisions type of each shops, each shops to stock up platform and user Growing path, obtain shops's category feature label and user class feature tag；By shops's category feature label and user's category feature mark Label are set as input data, are input to default assessment models, shops's assessment statistical result are obtained, with the service of each shops of determination Demand.

Optionally, the program code of following steps can also be performed in above-mentioned processor: being determined as using according to the grade of user Shops's the upper limit of the number of family distribution；Shops's the upper limit of the number and shops's quantity of at least one shops is used to be calculated and wait for for user Shops's quantity of distribution；Shops's quantity of at least one shops and the ratio of shops's quantity to be allocated are calculated, shops is obtained and matches Compare statistical result.

Optionally, the program code of following steps can also be performed in above-mentioned processor: according to each at least one shops The geographical location information of shops calculates the distance between every two shops at least one shops；Using calculated distance number According to two-dimensional distance relation table is generated, shops's distance statistics result is obtained.

Optionally, the program code of following steps can also be performed in above-mentioned processor: obtaining and assesses statistical result with shops Corresponding first default weighted value, with shops's corresponding second default weighted value of proportion statistical result and with shops's distance statistics As a result corresponding third presets weighted value；It is matched using shops's assessment statistical result and the product of the first default weighted value, shops The product that the product and shops's distance statistics result and third of statistical result and the second default weighted value preset weighted value carries out Sum operation with coefficient generates shops and visits planning information, to indicate user to the visit path of at least one shops and each The demand for services of shops.

Using the embodiment of the present invention, a kind of scheme of the intelligent management of shops is provided.It is determined as user's distribution at least One shops；The shops's information for obtaining at least one shops and user are to the history information on services of at least one shops；It is based on Shops's information and history information on services are generated for user shops's visit planning information, will visit planning information and be supplied to user, So as to avoid the problem of shops's visit is carried out by the way of timing, to realize the technology effect for improving shops's efficiency of management Fruit, and then solve the technical issues of low efficiency as carrying out the management of shops caused by shops's visit by the way of timing.

It will appreciated by the skilled person that structure shown in Fig. 7 is only to illustrate, mobile terminal A is also possible to intelligence It can mobile phone (such as Android phone, iOS mobile phone), tablet computer, applause computer and mobile internet device (Mobile Internet Devices, MID), the terminal devices such as PAD.Fig. 7 it does not cause to limit to the structure of above-mentioned electronic device.Example Such as, mobile terminal A may also include than shown in Fig. 7 more perhaps less component (such as network interface, display device) or With the configuration different from shown in Fig. 7.

Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can It is completed with instructing the relevant hardware of terminal device by program, which can store in a computer readable storage medium In, storage medium may include: flash disk, read-only memory (Read-Only Memory, ROM), random access device (Random Access Memory, RAM), disk or CD etc..

Embodiment 4

The embodiments of the present invention also provide a kind of storage mediums.Optionally, in the present embodiment, above-mentioned storage medium can With program code performed by the intelligent management for saving shops provided by above-described embodiment 2.

Optionally, in the present embodiment, above-mentioned storage medium can be located in computer network in computer terminal group In any one terminal, or in any one mobile terminal in mobile terminal group.

Optionally, in the present embodiment, storage medium is arranged to store the program code for executing following steps: really It is set at least one shops of user's distribution；The shops's information for obtaining at least one shops and user are at least one shops History information on services；Based on shops's information and history information on services, shops's visit planning information is generated for user, will visit Planning information is supplied to user.

Optionally, in the present embodiment, storage medium is arranged to store the program code for executing following steps: base Shops's assessment statistical result, the shops's proportion of each shops at least one shops are obtained in shops's information and history information on services Statistical result and shops's distance statistics result；Using shops assessment statistical result, shops proportion statistical result and shops away from Shops, which is generated, from statistical result visits planning information.

Optionally, storage medium is also configured to store the program code for executing following steps: to shops's information and History information on services carries out classification integration, and the procurement decisions type that determines each shops, each shops are to platform and the user of stocking up Revenue impact and each shops growing path, wherein procurement decisions type includes following one: shops's independent procurement, User's driving buying, platform of stocking up promotion driving buying, growing path are adopted for describing each shops from what platform of stocking up was stocked up Purchase volume change procedure；According to the procurement decisions type of each shops, each shops to the revenue impact of stock up platform and user with And the growing path of each shops, obtain shops's category feature label and user class feature tag；By shops's category feature label and use Family category feature label is set as input data, is input to default assessment models, obtains shops's assessment statistical result, each to determine The demand for services of shops.

Optionally, storage medium is also configured to store the program code for executing following steps: according to user etc. Grade is determined as shops's the upper limit of the number of user's distribution；It is calculated using shops's quantity of shops's the upper limit of the number and at least one shops To the shops quantity to be allocated for user；Shops's quantity of at least one shops and the ratio of shops's quantity to be allocated are calculated, Obtain shops's proportion statistical result.

Optionally, storage medium is also configured to store the program code for executing following steps: according at least one The geographical location information of each shops calculates the distance between every two shops at least one shops in shops；Using calculating The range data arrived generates two-dimensional distance relation table, obtains shops's distance statistics result.

Optionally, storage medium is also configured to store the program code for executing following steps: acquisition is commented with shops Estimate the corresponding first default weighted value of statistical result, with shops's corresponding second default weighted value of proportion statistical result and with door Distance statistics result corresponding third in shop presets weighted value；Using multiplying for shops assessment statistical result and the first default weighted value The product and shops's distance statistics result and third of product, shops's proportion statistical result and the second default weighted value preset weighted value Product be weighted summation operation, generate shops and visit planning information, to indicate user to the visit road of at least one shops The demand for services of diameter and each shops.

The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.

In the above embodiment of the invention, it all emphasizes particularly on different fields to the description of each embodiment, does not have in some embodiment The part of detailed description, reference can be made to the related descriptions of other embodiments.

In several embodiments provided herein, it should be understood that disclosed technology contents can pass through others Mode is realized.Wherein, the apparatus embodiments described above are merely exemplary, such as the division of the unit, only A kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or components can combine or Person is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual Between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication link of unit or module It connects, can be electrical or other forms.

The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme 's.

It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list Member both can take the form of hardware realization, can also realize in the form of software functional units.

If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words It embodies, which is stored in a storage medium, including some instructions are used so that a computer Equipment (can for personal computer, server or network equipment etc.) execute each embodiment the method for the present invention whole or Part steps.And storage medium above-mentioned includes: that USB flash disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic or disk etc. be various to can store program code Medium.

The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered It is considered as protection scope of the present invention.

Claims

1. a kind of intelligent management of shops characterized by comprising

It is determined as at least one shops of user's distribution；

The shops's information and the user for obtaining at least one shops service letter to the history of at least one shops Breath；

Based on shops's information and the history information on services, shops is generated for the user and visits planning information, by institute It states visit planning information and is supplied to the user.

2. the method according to claim 1, wherein raw based on shops's information and the history information on services Include: at shops visit planning information

The shops for obtaining each shops at least one described shops based on shops's information and the history information on services is commented Estimate statistical result, shops's proportion statistical result and shops's distance statistics result；

It is generated using shops assessment statistical result, shops proportion statistical result and shops's distance statistics result Planning information is visited by the shops.

3. the method according to claim 1, wherein shops's information includes at least: consumer buys commodity Preferential category information, shops buying with sales behavior category information, consumer transaction behavioural information, shops's geographical location information；Institute It states history information on services to include at least: shops's quantity, the visit coverage rate of the user of the user service；Based on the door Shop information and the historical information obtain shops's assessment statistical result

Classification integration is carried out to shops's information and the history information on services, determine each shops procurement decisions type, Each shops is to the revenue impact of platform and the user and the growing path of each shops of stocking up, wherein the buying is determined Plan type includes following one: shops's independent procurement, user's driving buying, platform of stocking up promotion driving buying, the growth road Diameter is for describing the volumn of purchase change procedure that each shops stocks up from the platform of stocking up；

According to the procurement decisions type of each shops, each shops to the revenue impact of stock up platform and the user and The growing path of each shops obtains shops's category feature label and user class feature tag；

Input data is set by shops's category feature label and the user class feature tag, is input to default assessment mould Type obtains shops's assessment statistical result, with the demand for services of each shops of determination.

4. according to the method described in claim 3, it is characterized in that, the default assessment models are linear regression model (LRM), iteration Any model in decision-tree model and deep learning model, alternatively, the default assessment models are linear regression model (LRM), change For model made of at least two Model Fusions in decision-tree model and deep learning model.

5. according to the method described in claim 2, it is characterized in that, obtaining shops proportion statistical result and including:

It is determined as shops's the upper limit of the number of user's distribution according to the grade of the user；

Use shops's the upper limit of the number and shops's quantity of at least one shops to be calculated for the user it is to be allocated Shops's quantity；

Shops's quantity of at least one shops and the ratio of shops's quantity to be allocated are calculated, the shops is obtained and matches Compare statistical result.

6. according to the method described in claim 3, it is characterized in that, obtaining shops's distance statistics result and including:

Every two at least one described shops is calculated according to the geographical location information of each shops at least one described shops The distance between shops；

Two-dimensional distance relation table is generated using calculated distance data, obtains shops's distance statistics result.

7. according to the method described in claim 2, it is characterized in that, being matched using shops assessment statistical result, the shops Generating shops's visit planning information than statistical result and shops's distance statistics result includes:

Obtain that match statistical result with the corresponding first default weighted value of shops assessment statistical result, with the shops corresponding The second default weighted value and third corresponding with shops's distance statistics result preset weighted value；

Using the shops assessment statistical result and the described first default weighted value product, the shops proportion statistical result with The product and shops's distance statistics result of the second default weighted value and the third preset the product of weighted value into Row sum operation with coefficient generates shops's visit planning information, to indicate that the user visits at least one described shops Visit the demand for services of path and each shops.

8. a kind of intelligent management apapratus of shops characterized by comprising

Determining module, for being determined as at least one shops of user's distribution；

Module is obtained, the shops's information and the user for obtaining at least one shops are at least one described door The history information on services in shop；

Generation module generates shops's visit rule for being based on shops's information and the history information on services for the user Information is drawn, the visit planning information is supplied to the user.

9. device according to claim 8, which is characterized in that the generation module includes:

Acquiring unit, it is each at least one described shops for being obtained based on shops's information and the history information on services Shops's assessment statistical result, shops's proportion statistical result and the shops's distance statistics result of shops；

Generation unit, for using the shops assessment statistical result, the shops proportion statistical result and the shops away from Shops, which is generated, from statistical result visits planning information.

10. device according to claim 9, which is characterized in that shops's information includes at least: consumer buys commodity Preferential category information, shops buying with sales behavior category information, consumer transaction behavioural information, shops's geographical location information；Institute It states history information on services to include at least: shops's quantity, the visit coverage rate of the user of the user service；The acquisition is single Member includes:

It analyzes subelement and determines each shops for carrying out classification integration to shops's information and the history information on services Procurement decisions type, each shops to the revenue impact of platform and the user and the growing path of each shops of stocking up, Wherein, the procurement decisions type includes following one: shops's independent procurement, user's driving buying, platform of stocking up promotion driving Buying, the growing path is for describing the volumn of purchase change procedure that each shops stocks up from the platform of stocking up；

First obtains subelement, for according to the procurement decisions type of each shops, each shops to platform and the institute of stocking up The revenue impact of user and the growing path of each shops are stated, shops's category feature label and user class feature tag are obtained；

Second obtains subelement, for setting input number for shops's category feature label and the user class feature tag According to being input to default assessment models, shops assessment statistical result obtained, with the demand for services of each shops of determination.

11. device according to claim 10, which is characterized in that the default assessment models are linear regression model (LRM), change For any model in decision-tree model and deep learning model, alternatively, the default assessment models be linear regression model (LRM), Model made of at least two Model Fusions in iteration decision-tree model and deep learning model.

12. device according to claim 8, which is characterized in that the acquiring unit includes:

Subelement is determined, for being determined as shops's the upper limit of the number of user's distribution according to the grade of the user；

First computation subunit, for being calculated using shops's quantity of shops's the upper limit of the number and at least one shops To the shops quantity to be allocated for the user；

Third obtains subelement, for calculating the shops's quantity and shops's quantity to be allocated of at least one shops Ratio obtains shops's proportion statistical result.

13. device according to claim 10, which is characterized in that the acquiring unit includes:

Second computation subunit, it is described extremely for the geographical location information calculating according to each shops at least one described shops The distance between every two shops in a few shops；

Third computation subunit obtains the shops for generating two-dimensional distance relation table using calculated distance data Distance statistics result.

14. device according to claim 9, which is characterized in that the generation unit includes:

4th obtains subelement, for obtain with the shops assess the corresponding first default weighted value of statistical result, with it is described Shops matches the corresponding second default weighted value of statistical result and third corresponding with shops's distance statistics result is default Weighted value；

Subelement is generated, for product, the door using shops assessment statistical result and the described first default weighted value Shop matches statistical result and the product of the described second default weighted value and shops's distance statistics result and the third are pre- If the product of weighted value is weighted summation operation, shops's visit planning information is generated, to indicate the user to described The visit path of at least one shops and the demand for services of each shops.

15. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein run in described program When control the storage medium where equipment execute following steps:

It is determined as at least one shops of user's distribution；

16. a kind of processor, which is characterized in that the processor is for running program, wherein executed when described program is run with Lower step:

It is determined as at least one shops of user's distribution；

17. a kind of mobile terminal characterized by comprising

Processor；And

Memory is connected to the processor, for providing the instruction for handling following processing step for the processor:

It is determined as at least one shops of user's distribution；