CN107093135A - A kind of method and device of recommendation order - Google Patents
A kind of method and device of recommendation order Download PDFInfo
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Abstract
The embodiment of the present application provides a kind of method and device of recommendation order, according to the division information of the geographic area prestored, splits History Order data, obtains array History Order data acquisition system corresponding with several subregions in the geographic area；According to user profile, the user in the subregion is classified；Pass through the analyzing and processing to the History Order data of fellow users in same subregion, obtain the fast-selling data of kinds of goods and normative reference case information, and matched the normative reference case information with the standard container information to be recommended in distributors inventory data, generate and pushed to user and recommend order.The method of the recommendation order provided using the application, can help user fast and accurately to obtain the kinds of goods based on standard container for meeting self-demand, lift Consumer's Experience.Simultaneously as when order is recommended in generation, being defined to matching degree, to a certain extent, logistic resources are saved, and be conducive to brand business or the precision marketing of dealer of kinds of goods.
Description
Technical field
The application is related to Internet technical field, more particularly to a kind of method and device of recommendation order.
Background technology
Commodity circulation process was both related to " commodity-circulate ", i.e., commodity occur by business activities form of value change and own
The transfer of power, is further related to " logistics ", i.e. movement and stagnation of the commodity entity on locus.Also, " commodity-circulate " process and " thing
Stream " process is often synchronously carried out.Fig. 1 and Fig. 2 are collectively illustrated in " commodity-circulate " system of certain brand article, system, and brand business A will
The geographical marketing scope of affiliated commodity is divided into several regions, and a dealer, brand business A are set up for each marketing region
By commercial articles vending to dealer B (B1, B1 ... and B7), shops buys dealer B brand article in the way of " order ",
For example the purchase dealer of shops 1 B1 commodity, are further continued for selling to terminal consumer.Fig. 1 shows, if shops is to dealer B
Order goods successfully, " traffic flow " that dealer B will be formed by related distributors b (b1, b2 ... or b7) will be sold to shops
Kinds of goods be delivered to the shops.Fig. 3 shows " logistics " system corresponding with system shown in Figure 2, and Fig. 3 shows existing in other words
The logistics system based on distributors, commodity be moved to from brand business A (A1, A2 ... and/or An) dealer B (B1,
B1 ... and Bn) place, then by distributors b (b1, b2 ... or bn), commodity are moved to shops at dealer B, finally by door
Shop is moved in consumer's hand.Thus, it is a plurality of to a plurality of circulation between brand business, dealer, distributors and shops
Channel forms the logistics network of complexity.
In above-mentioned commodity-circulate and logistics environment, item property is to influence the key factor of logistic efficiency and resource utilization.
For example, sell that the higher commodity of unit value of goods are triggered it is scattered match somebody with somebody delivery phenomenon, logistic efficiency will be substantially reduced.With single case
Exemplified by the higher liquid detergent of (24 bags) value of goods, in order to meet the diversified order demand of shops that scale is not waited, in logistics distribution
Link, needs that first case dress liquid detergent is devaned, then the liquid detergent of bag number needed for shops is repacked, and is dispensed into institute of shops in place
Put, it is clear that " scattered to match somebody with somebody goods " can additionally consume system " packaging " resource and extension distribution time.
The scheme for solving above-mentioned technical problem is that kinds of goods are carried in standard container, and unit is sold using standard container as minimum
Unit is dispensed with minimum.Also, it is different to by way of dealer's indent goods making a phone call from above-mentioned shops, in the technology
In scheme, the information for the standard container that will carry kinds of goods is placed on displaying in the network platform, and user by installing phase on the terminal device
Close application program, it is possible to order the kinds of goods based on standard container home-confinedly.However, because the time and efforts of user has
Limit, network information is huge, and user is difficult to combine self-demand, chooses real quality-high and inexpensive kinds of goods.If moreover, user
The dealer of selection or distributors apart from the place of receipt of user farther out, or user selection dealer or distributors it is out of stock,
Need from elsewhere adjust goods if, not only influence Consumer's Experience, be also the waste to logistic resources.
The content of the invention
The application provides a kind of method and device of recommendation order, is ordered with solving user in the network platform based on standard
In the technical scheme of the kinds of goods of case, poor user experience and the unreasonable technical problem for wasting logistic resources of order.
In a first aspect, the embodiment of the present application provides a kind of method of recommendation order, including：
Obtain the division information and user profile of the geographic area prestored；The division information is at least included describedly
Manage the limit information between several subregions in region；
According to the division information of the geographic area, split History Order data, obtain in array and the geographic area
The corresponding History Order data acquisition system of several subregions；
According to the user profile, the user in the subregion is classified；
According to the History Order data of fellow users in same subregion, the fast-selling data of kinds of goods are obtained；
According to the fast-selling data of the kinds of goods, order is recommended in generation；
When the state of one or more of fellow users user in the same subregion meets trigger condition, send
The terminal for recommending order to one or more of users.
Second aspect, the embodiment of the present application provides a kind of device of recommendation order, including：
Acquisition module, division information and user profile for obtaining the geographic area prestored；The division information
At least include the limit information in the geographic area between several subregions；
Split module, for the division information according to the geographic area, split History Order data, obtain array and institute
State the corresponding History Order data acquisition system of several subregions in geographic area；
Sort module, for according to the user profile, classifying to the user in the subregion；
Processing module, for the History Order data according to fellow users in same subregion, obtains the fast-selling data of kinds of goods；
Generation module, for according to the fast-selling data of the kinds of goods, order to be recommended in generation；
Sending module, for being touched when the state of one or more of fellow users user in the same subregion is met
During clockwork spring part, the terminal for recommending order to one or more of users is sent.
The third aspect, present invention also provides a kind of storage medium, the computer-readable storage medium can have program stored therein, the journey
Sequence can realize the part or all of step in each embodiment of method of the recommendation order provided including the application when performing.
From above technical scheme, the method and device for the recommendation order that the embodiment of the present application is provided, according to depositing in advance
The division information of the geographic area of storage, splits History Order data, obtains array and several subregions pair in the geographic area
The History Order data acquisition system answered；According to user profile, the user in the subregion is classified；By to same sub-district
The analyzing and processing of the History Order data of fellow users in domain, obtains the fast-selling data of kinds of goods；Joined according to the fast-selling data of kinds of goods
Examine standard container information, and the standard container information to be recommended in the normative reference case information and distributors inventory data is carried out
Match somebody with somebody, when matching degree is more than the first matching degree threshold value, and User Status is when meeting trigger condition, generate simultaneously to push to user and recommend
Order.The method of the recommendation order provided using the application, the user that time and efforts can be helped not enough is fast and accurately obtained
The kinds of goods based on standard container of self-demand must be met, Consumer's Experience is lifted.Simultaneously as generation recommend order when, to
It is defined with degree, to a certain extent, saves logistic resources, and be conducive to the brand business or dealer of kinds of goods to realize precisely
Marketing.
Brief description of the drawings
In order to illustrate more clearly of the technical scheme of the application, letter will be made to the required accompanying drawing used in embodiment below
Singly introduce, it should be apparent that, for those of ordinary skills, without having to pay creative labor,
Other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is " commodity-circulate " direction schematic diagram of certain brand article；
Fig. 2 is " commodity-circulate " system schematic of certain brand article；
Fig. 3 is " logistics " system schematic of certain brand article；
Fig. 4 is standard container combination diagram；
Fig. 5 is a kind of method flow diagram of recommendation order of the application according to an exemplary embodiment；
Fig. 6 is the method flow diagram of another recommendation order of the application according to an exemplary embodiment；
Fig. 7 is a kind of schematic device of recommendation order of the application according to an exemplary embodiment；
Fig. 8 is the schematic device of another recommendation order of the application according to an exemplary embodiment；
Fig. 9 is the schematic device that another of the application according to an exemplary embodiment recommends order；
Figure 10 is the schematic device that another of the application according to an exemplary embodiment recommends order.
Embodiment
In the logistics system shown in Fig. 3, it is related to brand business, dealer, distributors and shops.
Wherein, described brand business can be understood as the initial owner of commodity discussed herein, for example, P＆G,
Uniliver etc..Explanation is needed, the commodity of broad sense both include virtual goodses, physical commodity, i.e. kinds of goods are included again.Based on this,
The commodity or kinds of goods mentioned in the application all refer to the kinds of goods with entity.
Described dealer can be understood as commodity cooperate with brand business, by buying and selling or operating brand business and obtain
The unit of profit or individual.As shown in Fig. 2 generally, if the geographical marketing scope of affiliated commodity is divided into by brand business
Dry region, one or several dealers are set up for each marketing region.Cooperative relationship bag between dealer and brand business
Include but be not limited to following three kinds of situations：One is brand business by commercial articles vending to dealer, and now dealer has all of commodity
Power.Two be the logistics transfer that dealer is responsible for brand business's commodity, the ownership without commodity, for example, brand business and KA (Wals
Agate, Carrefour etc.) agreement, corresponding commodity are provided for it every other month, specifically, by brand business first by commodity transporting to battalion
Dealer in the domain of area in which the goods are in great demand, recycles the logistics of dealer by commodity transporting to KA (KeyAccount, key customer) place, now
The ownership of commodity is transferred directly to KA by brand business.Three be that commodity are entrusted to dealer to sell by brand business, or consignment,
The ownership of commodity still returns brand business to own before dealer goes out commercial articles vending.It is worth noting that, dealer can be only
The commodity of single brand are acted on behalf of, the commodity of multiple brand business can also be acted on behalf of.
Described distributors can be understood as providing the tissue or unit of kinds of goods delivery service.Most distributors both had
There is depot storage capacity, there is transport capacity again, a small number of distributors only have depot storage capacity or only have transport capacity.It is therein
Transport capacity is realized by affiliated dispensing device.
It should be strongly noted that technical scheme and shops described in the prior art include but is not limited to refer to
For a kind of place for selling commodity, such as groceries, the retail shop of mother and baby's product, KA, restaurant, hotel etc., it can also include not having
There is retail trade and/or without the objective whole sellers at different levels for selling place.
Traditional dispatching refers in economical rationality regional extent, according to customer requirement, to the selection of article income, processing,
The operation such as pack, split, assembling, and being delivered to the logistics activity of appointed place on time.If described client is shops, sell
Kinds of goods will be dispensed into shops by business by related distributors, in the dispatching link, and distributors may have the ownership of kinds of goods,
I.e. dealer sells kinds of goods to distributors, and distributors are sold to shops again；Distributors may also not have the ownership of kinds of goods,
Now, distributors act only as the role with delivery express delivery.
For the low technical problem of the logistic resources utilization rate for solving traditional " scattered to match somebody with somebody goods " phenomenon initiation, by one
Or the kinds of goods list product belonging to multiple brand business are integrated in standard container according to certain rule, and unit is sold by minimum of standard container
Unit is dispensed with minimum, and by the relative information displaying of standard container on end application interface, is chosen so that user browses.
Above-mentioned standard case refers to the casing for objective reality that is carrying kinds of goods.In order to solve, tradition is scattered to be brought with goods
The technical problem such as logistics is poorly efficient, at least one kinds of goods list product is carried in standard container, one or more kinds of goods list product are formed
Kinds of goods set.For example, the kinds of goods set formed by 1 bag of liquid detergent, 2 bags of washing powder and 4 cakes of soap is carried in standard container.
The volume that the volume size of the standard container should be designed to the kinds of goods set with being carried is adapted, and is maximally utilised
Space in casing；Meanwhile, the shape of the standard container should be designed to be beneficial to staff's stacking and stacking, and stacking and
The space taken after stacking should be as small as possible, to save the storage resource and transport capacity resource of distributors.Further, the material of standard container
The kinds of goods that matter should be carried with it are adapted, if for example, standard container is used for the quick running stores for carrying lighter weight, using paper
Material；, should be using the larger material of intensity, to ensure kinds of goods if standard container is used for the kinds of goods for carrying heavier mass
And standard container is not damaged by, it is to avoid influence is reused to standard container.It should be noted that for a kind of kinds of goods, when its product
The attributes such as board, model, configuration, grade, pattern, bale capacity, unit, date of manufacture, shelf-life, purposes, price, the place of production and its
When his kinds of goods have different, a single product are can be described as, it is a SKU that shops described herein, which is sometimes referred to as single product,.
In certain embodiments, standard container is designed to the consistent square box of size, and the volume further according to standard container is big
It is small to determine that it carry the volume of kinds of goods.In further embodiments, standard container, which is removed, is designed to consistent square of size
Outside casing, it is additionally designed to be piled into several various sizes of casings of regular volume profiles, as shown in figure 4, several energy
The casing formation standard container combination of regular volume profiles is enough piled into, each casing is referred to as the sub- standard packing box in standard container combination.
Technical scheme sells unit and minimum dispatching unit using standard container and/or standard container combination as minimum,
Shops orders the kinds of goods based on standard container, and dispenses again in the link of the kinds of goods based on standard container, without devaning, not only solves
The scattered technical problem that logistic efficiency is low and resource utilization is low brought with goods phenomenon of the prior art, moreover it is possible to lifted
The experience of shops user, because, shops user is confirming to receive the kinds of goods based on standard container that distributors are its dispatching
When, not only unit can be sold by minimum of standard container, standard container is sold to terminal consumer, and standard container is also to kinds of goods
Single product serve packaging and protection effect, while can also save shops user arrange kinds of goods and kinds of goods are classified when
Between.
However, because the time and efforts of user is limited, network information is huge, user is difficult to combine self-demand, choosing
Buy real quality-high and inexpensive kinds of goods.If moreover, user selection dealer or distributors apart from the place of receipt of user compared with
Far, or user selection dealer or distributors it is out of stock, it is necessary to from elsewhere adjust goods if, not only influence Consumer's Experience,
It is also the waste to logistic resources.
Based on this, refering to Fig. 5, the embodiment of the present application provides a kind of method of recommendation order, including：
In step s 110, the division information and user profile of the geographic area prestored are obtained；The division information
At least include the limit information in the geographic area between several subregions；
It is understood that geographic area is divided into several subregions, such as the geographic area quilt in each province in advance
It is divided into the corresponding subregion of corresponding prefecture-level city and provincial capital.And at least two in several subregions are adjacent and border on
There is clear and definite boundary between subregion.The division information of geographic area comprises at least the limit information between these subregions.May be used also
With understanding, limit information should include " geographical coordinate " of every boundary of composition, if, " geographical coordinate " is a finger
Target is talked about, and limit information is exactly the set of the index of a sign geographical location information.
The geographical location information of standard with global public attribute, includes but is not limited to, the unified seat in place name, the whole world
Mark, global gps coordinate (standard with global public attribute)；Comprise in addition, the standard of not common attribute.For example, each
Individual brand business delimit or determined the sales region of oneself according to the characteristics of its own, these sales regions be a bit by
According to administrative division, some are not in accordance with administrative division.For another example, area information is dispensed.It is with some dispatching storage
The center of circle, to the circular coverage area that some numerical value is radius, a kind of region that the circle is covered geography information at last.Above-mentioned pin
Sell region, dispatching region etc. all can as geographic area subregion.
In the step s 120, according to the division information of the geographic area, split History Order data, obtain array and institute
State the corresponding History Order data acquisition system of several subregions in geographic area；
In certain embodiments, the information for the kinds of goods set that server is carried according to standard container, generation kinds of goods sell information,
And kinds of goods are sold into information be sent to shops's terminal；When shops's User logs in, kinds of goods sell information and are showed in shops's terminal
Application Program Interface on, user sells information according to kinds of goods and chooses the kinds of goods based on standard container, generates and confirms an order.It is based on
This, the order produced before current time node can turn into History Order.Included in each History Order or each order
The data message standard container information at least ordered, the time of placing an order or the time of confirming an order, the shops that places an order geographical position letter
The information such as breath, the order amount of money, order evaluation.Wherein, standard container information includes corresponding to the kinds of goods set that the standard container is carried
Identification information, standard container type and quantity etc..The application is not limited the object for carrying the identification information, and it includes but not limited
In the mark such as Quick Response Code of the prior art, bar code and RFID chip.
Division information makes geographic area be uniquely determined per sub-regions, and uniquely determines and can utilize when per sub-regions
When the factors such as " geographical coordinates " in division information is characterized, according to shops user, the shops that places an order especially with History Order
The geographical location information of user, you can it is determined that the subregion belonging to each shops.The history of whole shops in geographic area is ordered
The big data of forms data formation, is split according to division information, corresponding with the several subregions in the geographic area to obtain array
History Order data acquisition system；That is, every group of History Order data acquisition system after dividing has the door in corresponding subregion
The History Order data composition of shop user.
On the basis of above-mentioned steps S120, in the step S130 of technical scheme, according to the user profile,
User in the subregion is classified；
In this application, user profile at least includes, the conventional geographical location information and user property of user.The user
The business scope of attribute including user, management style, consumer group's classification, manage kinds of goods classification etc..
According to user profile, the user in every sub-regions is classified；For example, the user in certain sub-regions, root
According to its management style, retail shop user and whole seller user can be divided into；Retail shop can be divided into by managing kinds of goods classification according to it
With mother and baby shop；Whole seller user and restaurant etc. can be divided into according to its management style.Those skilled in the art can take above-mentioned use
One or more of family attribute is as the standard classified, and the classification results being not quite similar belong to present techniques side
Case content to be protected.
In step S140, according to the History Order data of fellow users in same subregion, the fast-selling data of kinds of goods are obtained；
In certain embodiments, from the History Order extracting data standard container letter of fellow users in the same subregion
Breath；According to the standard container information, the fast-selling data of the kinds of goods based on standard container are obtained.
It is understood that the sales volume of different times, different regions or variety classes kinds of goods is different.For example, during summer,
The sales volume of beverage is higher；Compared with northern area, in southern area, the sales volume for washing shield class articles for use is higher etc..Kinds of goods fast sale number
Ranked according to the fast-selling degree of including but not limited to kinds of goods.Generally, fast-selling degree seniority among brothers and sisters refers to the sales volume seniority among brothers and sisters of kinds of goods in certain time.
In the above-described embodiments, according to standard container information, standard container fast sale seniority among brothers and sisters is calculated, that is, obtains the goods based on standard container
Product fast sale data.It is worth noting that, technical scheme is using fellow users in same subregion as an entirety, to this
The History Order data of a little users carry out unified analyzing and processing, rather than are analyzed respectively for each user, therefore
Obtained result, it is more representative, more reference value.
In further embodiments, from the History Order data of fellow users in the same subregion, single product are extracted
Information；According to single product information, the fast-selling data of the kinds of goods based on single product are obtained.
As it was previously stated, standard container, which carries, includes the kinds of goods set of at least one kinds of goods list product.Kinds of goods aggregate information is determined
The species of the standard container.Kinds of goods aggregate information includes single product information, the i.e. information such as single variety class, quantity, brand again.Gone through from described
In history order data set, single product information is extracted, and obtain the fast-selling data of the kinds of goods based on single product.
And in step S150, according to the fast-selling data of the kinds of goods, order is recommended in generation；
Refering to Fig. 6, when the fast-selling data of kinds of goods are the fast-selling data of the kinds of goods based on single product that are obtained according to single product information, one
A little embodiments recommend order using following step generation：
Step S151, according to the fast-selling data of the kinds of goods, determine kinds of goods set, generate normative reference case information；
Kinds of goods set is determined according to the kinds of goods fast sale degree in certain sub-regions inside door shop, meanwhile, it should avoid mutual exclusion kinds of goods
It is carried in same standard container, for example, should avoid food and washing product being carried in same standard container.It is assumed that April is northern
The kinds of goods that each shops of Jing Shi sells are ranked by sales volume：Chocolate, chewing gum, washing powder, liquid detergent, instant noodles ...,
A number of chocolate, a number of chewing gum and a number of instant noodles can then be planned and be carried on same standard
In case, normative reference case information is generated；Plan a number of washing powder again and a number of liquid detergent is carried on another mark
In quasi- case, another normative reference case information is generated.
Step S152, acquisition standard container information to be recommended；Match the standard container information to be recommended and the normative reference
Case information, obtains matching degree；
Standard container information to be recommended is the identification information of the kinds of goods set carried corresponding to standard container to be recommended；Mark to be recommended
Quasi- case can include：Standard that is having been shown on end application interface and being present in related online distributors warehouse
Case；It can also be not shown on end application interface but be present in the standard in related online distributors warehouse
Case；Can also be /do not shown on end application interface, be present in brand business warehouse goods or distributor's stock
, will be sent to the standard container in distributors warehouse, this part of standards case is also known as the transportation inventory of related online distributors,
Fall within the stock of distributors.
Online distributors refer to, in the existing logistics system based on distributors, in the subregion or rational delivery area
Distributors can be scheduled in domain, that kinds of goods can be dispensed for the fellow users in the same subregion.
Standard container information to be recommended and normative reference case information are matched, be whether there is in the stock to judge online distributors
The standard container to be recommended of (Corresponding matching degree) consistent or basically identical with normative reference case information.When there is completely the same information
When, obtained matching degree highest can be 1, can also be characterized with other numerical value.When in the absence of it is completely the same when, obtain
Matching degree reduction.If for example, the information comprising two bags of liquid detergents and two bags of washing powder in normative reference case information, and it is online
In the stock of distributors, in the absence of duplicate standard container to be recommended, and exist and include three bags of liquid detergents and two bags of washing powder
Standard container to be recommended, then it is believed that matching result it is basically identical, obtain match degrees of data, the matching degree numerical value be less than highest
With degree.
On the basis of above-mentioned matching inventory data, in further embodiments, proposed standard case information is treated and online
The matching degree of the inventory data of distributors is analyzed, and the higher online distributors of the matching degree for some generations are (for example, big
In preset matching degree threshold value), further the geographical location information in the warehouse of the online distributors is matched, matching is updated
Degree.When the average value of distance between the position of fellow users in the warehouse and above-mentioned same subregion of the online distributors and apart from it
With it is smaller, the matching degree of generation is higher.
Based on above-mentioned steps, in step S153, if the matching degree is more than the first matching degree threshold value, treated according to described
Order is recommended in proposed standard case, generation.
It should be noted that because the normative reference case information generated in step S151 is probably that a group information is also likely to be
Multipacket message, that is, the normative reference case generated is probably a kind of, it is also possible to a variety of.Because, it is determined that during kinds of goods set,
Not only the kinds of goods mutual exclusion in same kinds of goods set is also avoided, it is also contemplated that brand factor (same product according to the fast-selling data of kinds of goods
Board and across brand).Therefore, the standard container to be recommended matched from different normative reference casees is probably one, it is also possible to many
It is individual.That is, when order is recommended in generation, recommending that in order a kind of standard container information to be recommended may be only included, it is also possible to same
When include a variety of standard container information to be recommended.Those skilled in the art, can be right according to application scenarios and the difference of application
Order is recommended to be adjusted.For example, can integrate the level of consumption in the subregion, Consumer groups' feature of such user,
The factors such as the stockpile number of the weather of the subregion, online distributors or dealer, to recommending order to be adjusted, due to this Shen
Please length it is limited, will not be repeated here.
In step S160, touched when the state of one or more of fellow users user in the same subregion is met
During clockwork spring part, the terminal for recommending order to one or more of users is sent.
Trigger condition described herein is to include at least two subconditional set of triggering.When in the same subregion
The state of one or more of fellow users user meets at least one sub- condition in set of circumstances, or meets simultaneously multiple
During sub- condition, you can the state for being considered as one or more users meets trigger condition.The trigger condition can include：When user steps on
Lu Shi, when user operates on end application, when user the inactive time (current time and last time landing time
Time difference, or, current time and last time place an order time difference of time) when being more than a certain predetermined threshold value, when certain brand business issues
During new product, etc..
In further embodiments, the method for order is recommended also to include：
If step S170, the matching degree are more than the second matching degree threshold value, it is determined that folding corresponding with the recommendation order
Button rate, and, the discount rate is sent to the terminal of one or more of users.
The embodiment of the present application provides a kind of method of recommendation order, according to the division information of the geographic area prestored,
Split History Order data, obtain array History Order data acquisition system corresponding with several subregions in the geographic area；Root
According to user profile, the user in the subregion is classified；Pass through the History Order to fellow users in same subregion
The analyzing and processing of data, obtains the fast-selling data of kinds of goods；Normative reference case information is obtained according to the fast-selling data of kinds of goods, and this is referred to
Standard container information is matched with the standard container information to be recommended in distributors inventory data, when matching degree is more than the first matching degree
During threshold value, and User Status is when meeting trigger condition, generates simultaneously to push to user and recommends order.The recommendation provided using the application
The method of order, the user that time and efforts can be helped not enough fast and accurately obtain meet self-demand based on standard container
Kinds of goods, lifted Consumer's Experience.Simultaneously as when order is recommended in generation, matching degree is defined, to a certain extent,
Logistic resources are saved, and are conducive to the brand business or dealer of kinds of goods to realize precision marketing.
The method of the recommendation order provided according to above-described embodiment, the application also provides a kind of device of recommendation order, ginseng
Fig. 7 is read, the device includes：
Acquisition module 100, division information and user profile for obtaining the geographic area prestored；It is described to divide letter
Breath at least includes the limit information in the geographic area between several subregions；
Split module 200, for the division information according to the geographic area, split History Order data, obtain array
History Order data acquisition system corresponding with several subregions in the geographic area；
Sort module 300, for according to the user profile, classifying to the user in the subregion；
Processing module 400, for the History Order data according to fellow users in same subregion, obtains the fast-selling number of kinds of goods
According to；
Generation module 500, for according to the fast-selling data of the kinds of goods, order to be recommended in generation；
Sending module 600, expires for the state as one or more of fellow users user in the same subregion
During sufficient trigger condition, the terminal for recommending order to one or more of users is sent.
Refering to Fig. 8, in certain embodiments, processing module 400 includes：
Extraction unit 410, for the History Order extracting data standard container from fellow users in the same subregion
Information；
Computing unit 420, for according to the standard container information, obtaining the fast-selling data of the kinds of goods based on standard container.
Refering to Fig. 8, in further embodiments, processing module 400 includes：
Extraction unit 410, for from the History Order data of fellow users in the same subregion, extracting single product letter
Breath；
Computing unit 420, for according to single product information, obtaining the fast-selling data of the kinds of goods based on single product.
Refering to Fig. 9, on the basis of Fig. 8 shown devices, generation module 500 includes：
First generation unit 510, for according to the fast-selling data of the kinds of goods, determining kinds of goods set, generating normative reference case
Information；
Matching unit 520, for obtaining standard container information to be recommended；Match the standard container information to be recommended and the ginseng
Standard container information is examined, matching degree is obtained；
Second generation unit 530, if being more than the first matching degree threshold value for the matching degree, according to the mark to be recommended
Order is recommended in quasi- case, generation.
Refering to Figure 10, on the basis of Fig. 9 shown devices, the device also includes：Determining module 700；
Determining module 700 is used for, if the matching degree is more than the second matching degree threshold value, it is determined that recommending order pair with described
The discount rate answered, and, the discount rate is sent to the terminal of one or more of users.
The method and device for the recommendation order that the embodiment of the present application is provided, believes according to the division of the geographic area prestored
Breath, splits History Order data, obtains array History Order data acquisition system corresponding with several subregions in the geographic area；
According to user profile, the user in the subregion is classified；Ordered by the history to fellow users in same subregion
The analyzing and processing of forms data, obtains the fast-selling data of kinds of goods；Normative reference case information is obtained according to the fast-selling data of kinds of goods, and this is joined
Examine standard container information to be matched with the standard container information to be recommended in distributors inventory data, when matching degree is more than the first matching
When spending threshold value, and User Status is when meeting trigger condition, generates simultaneously to push to user and recommends order.Using pushing away that the application is provided
The method for recommending order, the user that time and efforts can be helped not enough fast and accurately obtain meet self-demand based on standard
The kinds of goods of case, lift Consumer's Experience.Simultaneously as when order is recommended in generation, being defined to matching degree, to a certain degree
On, logistic resources are saved, and be conducive to the brand business or dealer of kinds of goods to realize precision marketing.
In the specific implementation, the present invention also provides a kind of computer-readable storage medium, wherein, the computer-readable storage medium can be stored
There is program, the program may include the part or all of step in each embodiment of the method for the recommendation order that the present invention is provided when performing
Suddenly.Described storage medium can be magnetic disc, CD, read-only memory (English：Read-only memory, referred to as：ROM)
Or random access memory (English：Random access memory, referred to as：RAM) etc..
It is required that those skilled in the art can be understood that the technology in the embodiment of the present invention can add by software
The mode of general hardware platform realize.Understood based on such, the technical scheme in the embodiment of the present invention substantially or
Say that the part contributed to prior art can be embodied in the form of software product, the computer software product can be deposited
Storage is in storage medium, such as ROM/RAM, magnetic disc, CD, including some instructions are to cause a computer equipment (can be with
It is personal computer, server, or network equipment etc.) perform some part institutes of each of the invention embodiment or embodiment
The method stated.
Between the embodiment of each in this specification identical similar part mutually referring to.
Invention described above embodiment is not intended to limit the scope of the present invention..
Claims (10)
1. a kind of method of recommendation order, it is characterised in that including：
Obtain the division information and user profile of the geographic area prestored；The division information at least includes the geographic region
Limit information in domain between several subregions；
According to the division information of the geographic area, split History Order data, obtain array with it is several in the geographic area
The corresponding History Order data acquisition system of subregion；
According to the user profile, the user in the subregion is classified；
According to the History Order data of fellow users in same subregion, the fast-selling data of kinds of goods are obtained；
According to the fast-selling data of the kinds of goods, order is recommended in generation；
When the state of one or more of fellow users user in the same subregion meets trigger condition, send described
Recommend terminal of the order to one or more of users.
2. according to the method described in claim 1, it is characterised in that the history according to fellow users in same subregion is ordered
Forms data, the step of obtaining kinds of goods fast sale data includes：
From the History Order extracting data standard container information of fellow users in the same subregion；
According to the standard container information, the fast-selling data of the kinds of goods based on standard container are obtained.
3. according to the method described in claim 1, it is characterised in that the history according to fellow users in same subregion is ordered
Forms data, the step of obtaining kinds of goods fast sale data includes：
From the History Order data of fellow users in the same subregion, single product information is extracted；
According to single product information, the fast-selling data of the kinds of goods based on single product are obtained.
4. method according to claim 3, it is characterised in that described according to the fast-selling data of kinds of goods, order is recommended in generation
Step includes：
According to the fast-selling data of the kinds of goods, kinds of goods set is determined, normative reference case information is generated；
Obtain standard container information to be recommended；The standard container information to be recommended and the standard container information to be recommended are matched, is obtained
Matching degree；If the matching degree is more than the first matching degree threshold value, according to the standard container information to be recommended, generation recommendation is ordered
It is single.
5. the method according to any one of claim 4, it is characterised in that also include：If the matching degree is more than second
Matching degree threshold value, it is determined that discount rate corresponding with the recommendation order, and, the discount rate is sent to one or many
The terminal of individual user.
6. a kind of device of recommendation order, it is characterised in that including：
Acquisition module, division information and user profile for obtaining the geographic area prestored；The division information is at least
Including the limit information between several subregions in the geographic area；
Split module, for the division information according to the geographic area, split History Order data, obtain array with describedly
Manage the corresponding History Order data acquisition system of several subregions in region；
Sort module, for according to the user profile, classifying to the user in the subregion；
Processing module, for the History Order data according to fellow users in same subregion, obtains the fast-selling data of kinds of goods；
Generation module, for according to the fast-selling data of the kinds of goods, order to be recommended in generation；
Sending module, for meeting triggering bar when the state of one or more of fellow users user in the same subregion
During part, the terminal for recommending order to one or more of users is sent.
7. device according to claim 6, it is characterised in that the processing module includes：
Extraction unit, for the History Order extracting data standard container information from fellow users in the same subregion；
Computing unit, for according to the standard container information, obtaining the fast-selling data of the kinds of goods based on standard container.
8. device according to claim 6, it is characterised in that the processing module includes：
Extraction unit, for from the History Order data of fellow users in the same subregion, extracting single product information；
Computing unit, for according to single product information, obtaining the fast-selling data of the kinds of goods based on single product.
9. device according to claim 8, it is characterised in that the generation module includes：
First generation unit, for according to the fast-selling data of the kinds of goods, determining kinds of goods set, generating normative reference case information；
Matching unit, for obtaining standard container information to be recommended；Match the standard container information to be recommended and the normative reference
Case information, obtains matching degree；Second generation unit, if being more than the first matching degree threshold value for the matching degree, according to described
Order is recommended in standard container to be recommended, generation.
10. device according to claim 9, it is characterised in that also including determining module；
The determining module is used for, if the matching degree is more than the second matching degree threshold value, it is determined that corresponding with the recommendation order
Discount rate, and, the discount rate is sent to the terminal of one or more of users.
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| CN201710431210.XA CN107093135A (en) | 2017-06-08 | 2017-06-08 | A kind of method and device of recommendation order |
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| CN201710431210.XA CN107093135A (en) | 2017-06-08 | 2017-06-08 | A kind of method and device of recommendation order |
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| CN108133406A (en) * | 2017-12-21 | 2018-06-08 | 北京小度信息科技有限公司 | Method for information display, device, electronic equipment and computer readable storage medium |
| CN108694622A (en) * | 2018-06-26 | 2018-10-23 | 泰康保险集团股份有限公司 | Obtain objective method and apparatus |
| CN109711950A (en) * | 2019-01-18 | 2019-05-03 | 深圳壹账通智能科技有限公司 | Recommended method, device, storage medium and the computer equipment of marketing product |
| CN110634038A (en) * | 2018-06-21 | 2019-12-31 | 菜鸟智能物流控股有限公司 | Order interface display method, order generation method and order processing system |
| CN111105297A (en) * | 2019-12-30 | 2020-05-05 | 广州探途网络技术有限公司 | Information pushing method and related device |
| CN111160660A (en) * | 2019-12-31 | 2020-05-15 | 苏宁云计算有限公司 | Optimization method and system for obtaining stock information |
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| CN109711950A (en) * | 2019-01-18 | 2019-05-03 | 深圳壹账通智能科技有限公司 | Recommended method, device, storage medium and the computer equipment of marketing product |
| CN112561412B (en) * | 2019-09-10 | 2022-07-08 | 顺丰科技有限公司 | Method, device, server and storage medium for determining target object identifier |
| CN112561412A (en) * | 2019-09-10 | 2021-03-26 | 顺丰科技有限公司 | Method and device for determining target object identifier, server and storage medium |
| CN111105297A (en) * | 2019-12-30 | 2020-05-05 | 广州探途网络技术有限公司 | Information pushing method and related device |
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| CN112017000B (en) * | 2020-08-28 | 2022-10-25 | 杭州拼便宜网络科技有限公司 | Commodity information pushing method, device, equipment and storage medium |
| CN113240489B (en) * | 2021-05-18 | 2024-02-09 | 广州卓铸网络科技有限公司 | Article recommendation method and device based on big data statistical analysis |
| CN113240489A (en) * | 2021-05-18 | 2021-08-10 | 广州卓铸网络科技有限公司 | Article recommendation method and device based on big data statistical analysis |
| CN113674052A (en) * | 2021-07-15 | 2021-11-19 | 百威投资(中国)有限公司 | Intelligent order recommendation method and device, computer equipment and storage medium |
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Application publication date: 20170825 |