CN109493129A - The method and device of product intelligent design, electronic equipment, storage medium - Google Patents

The method and device of product intelligent design, electronic equipment, storage medium Download PDF

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Publication number
CN109493129A
CN109493129A CN201811275414.XA CN201811275414A CN109493129A CN 109493129 A CN109493129 A CN 109493129A CN 201811275414 A CN201811275414 A CN 201811275414A CN 109493129 A CN109493129 A CN 109493129A
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China
Prior art keywords
user
pain spot
product
pain
spot
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CN109493129B (en
Inventor
谷云松
黄侃
于英
荣巨兵
冯小红
张晓良
刘晓琦
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SHENZHEN WISDOM TECHNOLOGY Co Ltd
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SHENZHEN WISDOM TECHNOLOGY Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • G06Q30/0202Market predictions or forecasting for commercial activities
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0621Item configuration or customization

Abstract

Present invention discloses a kind of method and devices of product intelligent design, electronic equipment, computer readable storage medium, comprising: acquisition comments information to difference on user demand under the line of appointed product and line, obtains user's pain spot corresponding to appointed product;According to the prevalent value configured for user's pain spot and urgent value, classify to user's pain spot;For the competing product of appointed product, competing product are obtained to the solution situation of each user's pain spot;According to the classification and competing product carried out to user's pain spot to the solution situation of user's pain spot, the priority level for solving user's pain spot is determined;According to the priority level for solving user's pain spot and the scheme grading for solving user's pain spot, the tentative programme of appointed product is generated.Technical solution provided by the invention makes the user's pain spot collected covering crowd more comprehensively, meets public demand conducive to the product of design;It makes full use of the data of collection to realize the intelligent design of product, constructs the Standardization System of product design, save the cost of development of manpower.

Description

The method and device of product intelligent design, electronic equipment, storage medium
Technical field
The present invention relates to field of artificial intelligence, in particular to a kind of method and device of product intelligent design, electronics Equipment, computer readable storage medium.
Background technique
Intelligent design refers to using modern information technologies, using the thinking activities of the computer simulation mankind, improves computer Level of intelligence, thus enable a computer to it is more, preferably undertake various complex tasks in design process, become designer Important auxiliary tool.With the continuous progress of technology, the performance requirement of various products is also being continuously improved in people, to meet User is to properties of product increasingly higher demands, and designer needs constantly to be updated the replacement to product, it is intended to by lower Price provide a user the product of more preferable performance, how to design the high product of a cost performance, be that designer is urgently to be resolved The problem of.
Currently, the listing of new product is all to be shifted to an earlier date to carry out Investigation on market demand under line by designer, such as by visiting Market invites passerby to fill in questionnaires the modes such as application form, determines the demand of user, then according to user demand to existing procucts into Row improves, and determines the design direction of next-generation.
This mode is easy to cause survey data to be lost, be distorted, be difficult to due to no standardized acquisition and analysis system Integration is excavated, is analyzed, and fails to embody real data value;And the demand acquisition designed, only passes through small sample sampling and city Acquisition is visited in field, and target group's covering is not comprehensive enough, and the product of final design is thus caused not meet public demand.
Summary of the invention
In order to which the survey data for solving acquisition present in the relevant technologies is not comprehensive, body is analyzed without standardized data The problem of being, the product of final design is caused not meet public demand, the present invention provides a kind of methods of product intelligent design.
On the one hand, the present invention provides a kind of methods of product intelligent design, comprising:
Acquisition comments information to difference on user demand under the line of appointed product and line, obtains the use corresponding to the appointed product Family pain spot;
According to the prevalent value configured for user's pain spot and urgent value, classify to user's pain spot;
For the competing product of the appointed product, the competing product are obtained to the solution situation of each user's pain spot;
According to the classification and the competing product carried out to user's pain spot to the solution situation of user's pain spot, solution is determined The priority level of certainly described user's pain spot;
It grades according to the priority level for solving user's pain spot and the scheme for solving user's pain spot, described in generation The tentative programme of appointed product.
On the other hand, the present invention also provides a kind of devices of product intelligent design, comprising:
Data acquisition module, for obtaining, difference comments information in user demand and line under the line to appointed product, is corresponded to In user's pain spot of the appointed product;
Pain spot categorization module is worth for the prevalent value that basis is user's pain spot configuration with urgent, to user's pain Point is classified;
Competing product screening module obtains the competing product to each user's pain spot for being directed to the competing product of the appointed product Solve situation;
Grade classification module, for basis to the classification of user's pain spot progress and the competing product to user's pain spot Solution situation, determine the priority level for solving user's pain spot;
Scheme determining module, for according to the priority level and solution user's pain spot for solving user's pain spot Scheme grading, generates the tentative programme of the appointed product.
In addition, the present invention also provides a kind of electronic equipment, the electronic equipment includes:
Processor;
Memory for storage processor executable instruction;
Wherein, the processor is configured to the method for executing the said goods intelligent design.
In addition, the present invention also provides a kind of computer readable storage medium, the computer-readable recording medium storage There is computer program, the computer program can execute the method for completing the said goods intelligent design by processor.
The technical solution that the embodiment of the present invention provides can include the following benefits:
The present invention provide technical solution, by collect online and offline user's pain spot, according to user's pain spot according to general The classification carried out all over value and urgent value and competing product determine the priority scheduling for solving user's pain spot to the solution situation of user's pain spot Grade, and then grade according to the priority level for solving these user's pain spots and the scheme for solving these user's pain spots, it generates specified The design scheme of product.Technical solution provided by the invention keeps covering crowd more complete by on-line off-line collection user's pain spot Face, the product for being thus conducive to design meet public demand;In addition, the intelligence for making full use of the data of collection to realize product is set Meter, constructs the Standardization System of product design, saves the cost of development of manpower.
It should be understood that the above general description and the following detailed description are merely exemplary, this can not be limited Invention.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows and meets implementation of the invention Example, and in specification together principle for explaining the present invention.
Fig. 1 is the schematic diagram of related implementation environment according to the present invention;
Fig. 2 is a kind of block diagram of device shown according to an exemplary embodiment;
Fig. 3 is a kind of flow chart of the method for product intelligent design shown according to an exemplary embodiment;
Fig. 4 is the requirements management process schematic diagram for realizing user, the market demand from user study to product planning process;
Fig. 5 is the details flow chart of step 330 in Fig. 3 corresponding embodiment;
Fig. 6 is the list schematic diagram in user's pain spot library;
Fig. 7 is the sizing screening schematic diagram of user's pain spot;
Fig. 8 is the details flow chart of step 370 in Fig. 3 corresponding embodiment;
Fig. 9 is the classification schematic diagram of user's pain spot;
Figure 10 is that competing product solve situation list schematic diagram to user's pain spot;
Figure 11 is the flow diagram of additional step on the basis of Fig. 3 corresponding embodiment;
Figure 12 is the schematic diagram of Concept Evaluation list;
Figure 13 is the details flow chart of step 390 in Fig. 3 corresponding embodiment;
Figure 14 is three yearly plan tables planning schematic diagram;
Figure 15 is the details flow chart of additional step on the basis of Fig. 3 corresponding embodiment;
Figure 16 is a kind of form schematic diagram of market opportunity inventory;
Figure 17 is the lookup schematic illustration of market opportunity point;
Figure 18 is the reference factor schematic diagram of determining product final design;
Figure 19 is the block schematic illustration of product intelligent design provided by the invention;
Figure 20 is the system architecture schematic diagram of product intelligent design provided by the invention;
Figure 21 is a kind of application flow schematic diagram of the invention;
Figure 22 is the pain spot tracking report and analytical statement schematic diagram that the present invention uses;
Figure 23 is the market sale data list schematic diagram of different product;
Figure 24 is a kind of block diagram of the device of product intelligent design shown according to an exemplary embodiment.
Specific embodiment
Here will the description is performed on the exemplary embodiment in detail, the example is illustrated in the accompanying drawings.Following description is related to When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment Described in embodiment do not represent all embodiments consistented with the present invention.On the contrary, they be only with it is such as appended The example of device and method being described in detail in claims, some aspects of the invention are consistent.
Fig. 1 is the schematic diagram of related implementation environment according to the present invention.The implementation environment includes: user equipment 110, is used Family equipment 110 can be desktop computer, laptop, mobile terminal, one or more server.User equipment 110 can be with Data server 130 is connected, the data that data server 130 stores are obtained, and then carries out the intelligence of product according to these data Change design, liberate manpower, reduce design cost, the product of design is made more to accord with the demands of the market.
Fig. 2 is a kind of block diagram of device 200 shown according to an exemplary embodiment.For example, device 200 can be Fig. 1 User equipment 110 in shown implementation environment.
Referring to Fig. 2, device 200 may include following one or more components: processing component 202, memory 204, power supply Component 206, multimedia component 208, audio component 210, sensor module 214 and communication component 216.
The integrated operation of the usual control device 200 of processing component 202, such as with display, telephone call, data communication, phase Machine operation and the associated operation of record operation etc..Processing component 202 may include one or more processors 218 to execute Instruction, to complete all or part of the steps of following methods.In addition, processing component 202 may include one or more modules, Convenient for the interaction between processing component 202 and other assemblies.For example, processing component 202 may include multi-media module, with convenient Interaction between multimedia component 208 and processing component 202.
Memory 204 is configured as storing various types of data to support the operation in device 200.These data are shown Example includes the instruction of any application or method for operating on the device 200.Memory 204 can be by any kind of Volatibility or non-volatile memory device or their combination are realized, such as static random access memory (Static Random Access Memory, abbreviation SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, abbreviation EEPROM), Erasable Programmable Read Only Memory EPROM (Erasable Programmable Read Only Memory, abbreviation EPROM), programmable read only memory (Programmable Red- Only Memory, abbreviation PROM), read-only memory (Read-Only Memory, abbreviation ROM), magnetic memory, flash Device, disk or CD.One or more modules are also stored in memory 204, which is configured to by this One or more processors 218 execute, to complete in any shown method of following Fig. 3, Fig. 5, Fig. 8, Figure 11, Figure 13, Figure 15 All or part of step.
Power supply module 206 provides electric power for the various assemblies of device 200.Power supply module 206 may include power management system System, one or more power supplys and other with for device 200 generate, manage, and distribute the associated component of electric power.
Multimedia component 208 includes the screen of one output interface of offer between described device 200 and user.One In a little embodiments, screen may include liquid crystal display (Liquid Crystal Display, abbreviation LCD) and touch panel. If screen includes touch panel, screen may be implemented as touch screen, to receive input signal from the user.Touch panel Including one or more touch sensors to sense the gesture on touch, slide, and touch panel.The touch sensor can be with The boundary of a touch or slide action is not only sensed, but also detects duration associated with the touch or slide operation and pressure Power.Screen can also include display of organic electroluminescence (Organic Light Emitting Display, abbreviation OLED).
Audio component 210 is configured as output and/or input audio signal.For example, audio component 210 includes a Mike Wind (Microphone, abbreviation MIC), when device 200 is in operation mode, such as call model, logging mode and speech recognition mould When formula, microphone is configured as receiving external audio signal.The received audio signal can be further stored in memory 204 or via communication component 216 send.In some embodiments, audio component 210 further includes a loudspeaker, for exporting Audio signal.
Sensor module 214 includes one or more sensors, and the state for providing various aspects for device 200 is commented Estimate.For example, sensor module 214 can detecte the state that opens/closes of device 200, the relative positioning of component, sensor group Part 214 can be with the position change of 200 1 components of detection device 200 or device and the temperature change of device 200.Some In embodiment, which can also include Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 216 is configured to facilitate the communication of wired or wireless way between device 200 and other equipment.Device 200 can access the wireless network based on communication standard, such as WiFi (WIreless-Fidelity, Wireless Fidelity).Show at one In example property embodiment, communication component 216 receives broadcast singal or broadcast from external broadcasting management system via broadcast channel Relevant information.In one exemplary embodiment, the communication component 216 further includes near-field communication (Near Field Communication, abbreviation NFC) module, to promote short range communication.For example, radio frequency identification (Radio can be based in NFC module Frequency Identification, abbreviation RFID) technology, Infrared Data Association (Infrared Data Association, abbreviation IrDA) technology, ultra wide band (Ultra Wideband, abbreviation UWB) technology, Bluetooth technology and other skills Art is realized.
In the exemplary embodiment, device 200 can be by one or more application specific integrated circuit (Application Specific Integrated Circuit, abbreviation ASIC), it is digital signal processor, digital signal processing appts, programmable Logical device, field programmable gate array, controller, microcontroller, microprocessor or other electronic components are realized, for executing Following methods.
Fig. 3 is a kind of flow chart of the method for product intelligent design shown according to an exemplary embodiment.The product intelligence The scope of application and executing subject for the method that can be designed can be user equipment, which, which can be, implements ring shown in Fig. 1 The user equipment 110 in border.As shown in figure 3, the method for product intelligent design can be executed by user equipment 110, may include Following steps.
In the step 310, it obtains and information is commented to difference on user demand under the line of appointed product and line, obtain corresponding to described User's pain spot of appointed product;
It should be noted that appointed product can be the electrical equipments such as washing machine, refrigerator, air-conditioning, it can also be other works Industry deisgn product.The present invention will be hereafter illustrated for designing washing machine, i.e., by taking appointed product is washing machine as an example It is illustrated, designs the intelligent design process that other products are referred to washing machine.
User demand refers to pair that earlier user, severe user, enthusiast, a live line shopping guide and business personnel propose under line The discontented place of appointed product (washing machine), user demand can visit market by staff in advance and be collected under line.Line The shortcoming of the appointed product of client feedback when upper difference comments information to refer to online spending, difference comments information to can be mainstream electricity on line Quotient's platform, large-scale synthesis website, the professional offers such as Vertical Website and wechat microblogging internet data and stellar observatory, product The data that the existing big data platform such as magic square, wisdom eye provides.
User's pain spot, which refers to, does not have solution in some or certain products, and the problem that user is in the urgent need to address.These Problem can comment information by difference on user demand under analytical line and line, remove nonsensical difference comment or demand after corresponded to In user's pain spot of appointed product.
In a step 330, according to the prevalent value configured for user's pain spot and urgent value, user's pain spot is carried out Classification;
Wherein, prevalent value refers to generality existing for user's pain spot, and is urgently worth and refers to the user in the urgent need to address The urgency of pain spot can indicate generality and urgency with the form of numerical value height, and the high prevalent value of generality is high, urgently Property high urgent value it is high.Prevalent value and urgent value generally can be by way of investigational data result+expert estimations, then to institute After thering is marking value to be averaged, it is stored in user equipment 110.
Specifically, can be higher by prevalent value and urgent value according to the prevalent value of different user pain spot and urgent value User's pain spot is divided into the first kind, is urgently worth prevalent value is higher lower user's pain spot and is divided into the second class, by the lower urgency of prevalent value Compel the higher user's pain spot of value and be divided into third class, prevalent value and the urgent lower user's pain spot of value are divided into the 4th class.Wherein, First kind user's pain spot may be considered the pain spot for needing preferentially to solve.
Fig. 4 is the requirements management process schematic diagram for realizing user, the market demand from user study to product planning process.Such as Shown in Fig. 4, integrally it is divided into demand collection, demand analysis, demand conversion and demand evaluation.Wherein, the requirement source that demand is collected It can be user demand and the market demand, user demand source has user study, customer service to feed back after sale, user feedback is (electric business, micro- Letter, microblogging etc.), terminal feedback, research and development demand, quality feedback.Market demand source has market analysis, customer demand and target to produce Product are to mark.The demand of collection carries out typing as original demands.Demand analysis stage solves the original demands of typing later Analysis, filtering, classification, form effective demand library.Demand of the demand transformation stage in effective demand library is ranked up, converts later Or classify again, that is, it is divided into the first kind, the second class, third class and the 4th class user's pain spot, each user's pain spot has in conceptual base There is corresponding resolution policy.Demand evaluation is finally carried out, user's checking and technical identification are carried out to the resolution policy in conceptual base, And it finds out the high concept of priority level and carries out product development, product programming and technical plan.
In step 350, for the competing product of the appointed product, the competing product are obtained to the solution feelings of each user's pain spot Condition;
Wherein, competing product can be preset competition brand, such as the washing machine of brand A.Competing product are to each user's pain spot It solves it may be the case that having solved, not solving or not analyzed temporarily.As an example it is assumed that being 1-10 there are user's pain spot number, then For user's pain spot 1, there is the case where having solved, do not solve or not analyzed temporarily in competing product, and for user's pain spot 2, competing product exist The case where solving, do not solve or not analyzing temporarily, and so on.In general, some user's pain spot, if all similar products in the market It can not solve, it may be considered that being that preecedence requirement is solved.In addition, if the competing product of a certain pain spot have been able to solve, And this enterprise product also fails to solve, it is also assumed that being that preecedence requirement is solved.
In step 370, according to the classification and the competing product carried out to user's pain spot to the solution of user's pain spot Certainly situation determines the priority level for solving user's pain spot;
Specifically, according to the classification that above-mentioned steps 330 carry out user's pain spot, according to the prevalent value of user's pain spot and urgently Value, is divided into the first kind, the second class, third class and the 4th class for user's pain spot, wherein first kind prevalent value and urgent value are larger User's pain spot be confirmed to be preferential solve pain spot first.Later according to this enterprise existing procucts to these preferential solution pain spots Situation and competing product are solved to these preferential solution situations for solving pain spot, this enterprise can be found out from these preferential solution pain spots The user's pain spot of product and the unsolved user's pain spot of competing product as A class can also solve to find out this enterprise in pain spot from preferential User pain spot of the settled user's pain spot of the unresolved and competing product of industry product as B class, A class, B class are construed as priority Higher user's pain spot.
Wherein, also from it is preferential solve to find out in pain spot this enterprise product has solved and competing product have solved or unsolved user User pain spot of the pain spot as C class uses the pain spot that this enterprise and competing product are not analyzed in preferential solution pain spot as D class The preferential pain spot that solves is divided into A class, B class, C class and D class according to priority as a result, by family pain spot from high to low.Similarly, the second class, Third class and the 4th class user pain spot can also be divided into A class, B class, C class and D class from high to low according to priority.
In step 390, according to the scheme of the priority level and solution user's pain spot that solve user's pain spot Grading, generates the design scheme of the appointed product.
It should be noted that the corresponding solution of user's pain spot or direction are properly termed as concept.The solution of user's pain spot Scheme or direction can find the corresponding solution of each origin cause of formation or direction by research staff by the origin cause of formation of analysis pain spot. The solution for not as a result, being each user's pain spot is perfectly that the solution of user's pain spot also needs to consider cost, reality Existing difficulty, solution effect etc., it is possible to the solution of user's pain spot be assessed in advance by research staff or computer. Specifically, can establish a set of evaluation system, including internal evaluation or external assessment, it is related to 12 evaluation indexes altogether, in conjunction with phase Using the pain grade (prevalent value × urgent value) of family pain spot, the scheme grading for solving user's pain spot is finally obtained.
Specifically, the preferential A class pain spot solved in pain spot can first be found out according to the priority level for solving user's pain spot, Then it is graded according to the scheme for solving A class pain spot, the higher pain spot scheme of scheme grading in A class pain spot can be found out, by these Tentative programme of the scheme as appointed product.Hereby it is achieved that the intelligent design of appointed product.Certainly, product design is improved and may be used also To combine more information, tentative programme is the blank of intelligent design.
The above exemplary embodiments of the present invention provide technical solution, by collecting user's pain spot of online and offline, according to The classification carry out to user's pain spot according to prevalent value and urgent value and competing product determine to the solution situation of user's pain spot and solve to use The priority level of family pain spot, and then according to the priority level for solving these user's pain spots and solve the schemes of these user's pain spots Grading, generates the design scheme of appointed product.Technical solution provided by the invention is made by on-line off-line collection user's pain spot More comprehensively, the product for being thus conducive to design meets public demand to covering crowd;In addition, the data of collection is made full use of to realize production The intelligent design of product constructs the Standardization System of product design, saves the cost of development of manpower.
In a kind of exemplary embodiment, as shown in figure 5, above-mentioned steps 330 specifically include:
In step 331, according to the prevalent value configured for user's pain spot and urgent value, all user's pain spots are determined The urgent value median of prevalent value median and all user's pain spots;
As shown in Figure 6, it is assumed that there are user's pain spots of serial number 1-10, are configured with prevalent value and urgency for each user's pain spot Compel value, such as serial number 1 user's pain spot it is urgent value be 7.68, prevalent value 7.85.It is directed to the urgency of all user's pain spots as a result, Urgent value median can be found by compeling value 7.68,7.61,7.55,7.60 ....Urgent value median is exactly all user's pain spots The median being urgently worth.It can be found generally for the prevalent value 7.85,7.58,7.60,7.51 ... of all user's pain spots It is worth median, prevalent value median is exactly the median of the prevalent value of all user's pain spots.
In step 332, prevalent value is greater than the prevalent value median and urgent value is greater than the urgent value median User's pain spot be divided into and preferential solve pain spot.
As shown in fig. 7, prevalent value median, urgent value median can be taken as coordinate center, prevalent value is greater than general All over value median and urgent value is greater than user's pain spot of urgent value median and is divided into preferentially solution pain spot, i.e. in Fig. 7 first as Preferential solution pain spot in limit.
Further, prevalent value is greater than prevalent value median and urgently value is less than user's pain spot stroke of urgent value median It is divided into public pain spot, i.e. user's pain spot in Fig. 7 in fourth quadrant.Prevalent value is less than prevalent value median and urgent value is greater than User's pain spot of urgent value median is divided into individual character pain spot, i.e. individual character pain spot in Fig. 7 in the second quadrant;Prevalent value is less than User's pain spot that prevalent value median and urgent value are less than urgent value median is divided into deposit pain spot, i.e. third quadrant in Fig. 7 Interior deposit pain spot.
In a kind of exemplary embodiment, as shown in figure 8, above-mentioned steps 370 include:
In step 371, according to the classification carried out to user's pain spot, the preferential pain spot, public pain spot, a of solving is obtained Property pain spot and deposit pain spot;
Referring to described above, can prevalent value according to each user's pain spot and urgent value, determine prevalent value median and Urgent value median, according to the prevalent value of each user's pain spot and the relationship of prevalent value median and urgent value and position in urgent value Several relationships can classify all user's pain spots to obtain preferential solution pain spot, public pain spot, individual character pain spot and deposit pain spot.
In step 372, according to the competing product and the supplied product of current enterprise to the preferential solution pain spot, public pain Point, individual character pain spot and the solution situation for laying in pain spot determine the priority level for solving different user pain spot.
As shown in figure 9, for the supplied product of current enterprise and the unsolved pain spot of competing product as A class, by competing product Solve and the unsolved pain spot of the supplied product of current enterprise as B class, by the settled pain spot work of the supplied product of preceding enterprise For C class pain spot, as D class pain spot, the pain spot priority of A, B, C, D class successively declines the pain spot that this product wouldn't be analyzed with competing product. Also there is corresponding priority due to preferentially solving pain spot, public pain spot, individual character pain spot and deposit pain spot, it is possible to first will be preferential Pain spot is solved to be ranked up according to the sequence of A, B, C, D class, it is subsequent to arrange public pain spot according to the sequence of A, B, C, D class Sequence, then it is subsequent individual character pain spot is ranked up according to the sequence of A, B, C, D class, finally will deposit pain spot according to A, B, C, D class Sequence is ranked up.The priority for laying in pain spot is minimum, and preferentially solves the highest priority of pain spot.
It is of course also possible to first find out all A class pain spots, B class pain spot, C class pain spot, D class pain spot are ranked up, and then will All A class pain spots are ranked up according to the preferential sequence for solving pain spot, public pain spot, individual character pain spot and deposit pain spot, by B class pain Point is ranked up according to the preferential sequence for solving pain spot, public pain spot, individual character pain spot and deposit pain spot, and so on, obtain institute There is the priority ranking of user's pain spot, the first user's pain spot of sorting can consider priority level highest.
As shown in Figure 10, for each user's pain spot, have the classification of corresponding pain spot, this product and competing product to the solution of the pain spot Certainly situation, and competition priority, in practical applications, the preferential pain spot that can be found out in A class pain spot is first solved.Such as The two the user's pain spots of number 4,7 can consider highest priority, first solve the two user's pain spots.
In a kind of exemplary embodiment, before above-mentioned steps 390, as shown in figure 11, method provided by the invention is also It may comprise steps of:
In step 381, according to the goodness of fit, realizability, the cost of implementation of solution corresponding to user's pain spot With the realization period, the assessed value of solution corresponding to user's pain spot is calculated;
The corresponding solution of each user's pain spot is assessed by research staff it should be noted that can shift to an earlier date, is each Solution configures corresponding numerical value and respectively indicates the goodness of fit, realizability between user's pain spot and corresponding solution (feasibility), cost of implementation realize the period.
As shown in figure 12, each solution has corresponding identical angle value, realizability value, cost of implementation value and realization Periodic quantity, so according to these numerical value can calculate user's pain spot corresponding to solution assessed value, be referred to as general Read grading.Wherein, concept grading=concept goodness of fit × 3.5+ realizability × 3+ cost of implementation × 1.5+ realizes period × 2, Thus the assessed value of solution corresponding to user's pain spot is obtained.
In step 382, it is multiplied to obtain the pain of user's pain spot with urgent value by the prevalent value of user's pain spot Grade;
That is, pain grade=prevalent value * is urgently worth, such as shown in Fig. 6, the urgent value of user's pain spot of serial number 1 is 7.68, prevalent value 7.85, the urgent value available pain grade that is multiplied with prevalent value is about 60.Similarly, according to each user's pain spot It is urgent value and prevalent value, can calculate the pain grade of each user's pain spot.
In step 383, by the assessed value of solution corresponding to the pain grade of user's pain spot and user's pain spot It is weighted fusion, is resolved the scheme grading of user's pain spot.
Specifically, the assessed value of the solution corresponding to the pain grade and each user's pain spot for calculating user's pain spot it Afterwards, it can be weighted addition, graded result as the scheme for solving user's pain spot.For example, scheme grading can also be with Referred to as generalization by the representation of groups is graded, and scheme evaluation value is properly termed as concept grading, then generalization by the representation of groups grading=pain grade * 40%+ concept is commented Grade * 60%.Thus the scheme grading for solving each user's pain spot is calculated.
In a kind of exemplary embodiment, as shown in figure 13, above-mentioned steps 390 be may comprise steps of:
In step 391, according to the priority level for solving user's pain spot, the target pain spot preferentially solved is filtered out;
Referring to described above, all user's pain spots, which can be divided into, preferential solves pain spot, public pain spot, individual character pain spot and deposit Pain spot, all user's pain spots can be divided into A, B, C, D class again, comprehensively consider two kinds of mode classifications as a result, filter out A class and preferentially solve Certainly pain spot is as the target pain spot preferentially solved.
In step 392, the willingness to pay for solving the target pain spot is obtained;
Willingness to pay can characterize user and be ready the received price paid for solving target pain spot.Typically cost is low and effect Good scheme willingness to pay is bigger, and willingness to pay can be carried out market survey in advance by research staff, and big according to willingness to pay It is small to configure willingness to pay numerical value to solve each target pain spot.
In step 393, according to the scheme grading and willingness to pay for solving the target pain spot, scheme is graded and paid The solution that wish is all larger than median is included in developing way, generates the tentative programme of the appointed product.
As shown in figure 14, scheme grading can be found out according to the scheme grading and willingness to pay for solving each target pain spot Median and willingness to pay median (i.e. median), then by scheme grading be greater than scheme grading median and payment anticipate It is willing to that the solution for being greater than willingness to pay median is included in exploitation, scheme grading is greater than scheme grading median and willingness to pay Solution less than willingness to pay median can find low cost substitution solution.
Scheme grading is less than scheme grading median and willingness to pay can greater than the solution of willingness to pay median To be included in advance.It is less than scheme grading median for scheme grading and willingness to pay is less than the solution party of willingness to pay median Case, can be using these solutions as deposit concept.
Solution as a result, based on the target pain spot for being included in exploitation, can be generated the tentative programme of appointed product.Example Such as, by machine design at electrically operated gate, by machine design at dry degerming of a key bucket etc..
In a kind of exemplary embodiment, as shown in figure 15, method provided by the invention further include:
In step 410, the sales volume data of different performance product in the market are obtained, market opportunity inventory is constructed;
By taking washing machine as an example, the combination list of monitoring different performance product can be formed, such as: 126 kinds of roller combinations, impellers 135 kinds of combinations, 108 kinds of dryer combinations, sales volume data include: sales volume/volume (rate) variation, average price (value) variation, SKU distribution Deng, on year-on-year basis/ring ratio (monthly/season/year), formation market opportunity inventory.It may include different prices in market opportunity inventory The corresponding sales volume data of the washing machine of section and different capabilities section.
At step 420, from the market opportunity inventory search market accounting ranking before several names, and ring ratio and on year-on-year basis The market opportunity point of rising obtains the corresponding target product of the market opportunity point;
Figure 16 is a kind of form of market opportunity inventory, from 1500-10000 be provided with 13 price sections, capacity from 6kg-13kg is provided with 9 sections, to dutiable value section and corresponding capacity section, has corresponding sales volume data, it is possible thereby to 5 before finding market accounting ranking in this market opportunity inventory, and ring than with the market opportunity point that rises on year-on-year basis, such as Figure 17 institute Show, A indicates that 5 before accounting ranking, on year-on-year basis/ring ratio rises simultaneously;B indicates that on year-on-year basis/ring ratio rises simultaneously;C is indicated 5 before accounting ranking And rise on year-on-year basis;D indicate accounting ranking before 5 and ring than rise, then may finally find E5 in Figure 16 is exactly market opportunity inventory In the market opportunity point that finds.
As shown in figure 16, the corresponding product of market opportunity point includes this enterprise product A, this enterprise product B, brand C and product The product of board D.Wherein, the retail sales occupation rate of brand C is higher, can be used as target product.Further, machine can also be carried out The true of behind can be put can be analyzed because of excavation by obtaining stub model, new product, attraction and the region of these brands, from And propose product programming Countermeasure suggestions.
In step 430, the corresponding price of the target product, performance and capacity data are obtained.
After determining target product, the available corresponding price of target product stored in advance, function, performance, capacity, The data such as appearance.
Further, on the basis of the above embodiments, method provided by the invention further include:
According to the price, performance, capacity of the target product, the product prototype of the appointed product is positioned;
For example with washing machine, it is had found in the market opportunity inventory that different capabilities section and different price ranges are constituted Before the accounting of market 5 and on year-on-year basis and ring than the market opportunity point of rising, the corresponding price of market opportunity point and capacity may be considered Proper capacity and price, washing machine of new generation are referred to the capacity and price.In addition, according to market opportunity point pair The performance for the target product answered can position the performance of the washing machine of next-generation design.Generally according to the parameter of this enterprise product Mark is found advantage, covered the shortage with the parameter of brand C style number.
On the basis of the product prototype, merge the function program of the tentative programme and user preference, determine described in The final design of appointed product.
It should be noted that the data source of user preference is up-stream system, it specifically can be according to user to function program The accounting situation used obtains the function program inventory of user preference, and calculation formula is as follows: the whole year by statistical time is tired Count accounting=each function program whole year access times/all function programs whole year access times.That is, some function program It is accumulative big using accounting in whole year, then it represents that the user preference function program.In the new product design phase, user can be preferentially selected The high function program of preference.After the performance, price, capacity for new product of having good positioning, the function that new product has can be positioned Energy program, so that it is determined that the design that new product is final.It as needed, can also be according to the appearance of target product and user Preference, to determine the final design of new product.
As shown in figure 18, it can determine that chance market can be a 6000 yuan of enterprise planning by carrying out market opportunity differentiation Above and be greater than 10KG roller.According to user's pain spot of corresponding crowd, the tentative programme of new product is determined, and then according to target Capacity, function, performance, appearance and the preference of user of product position capacity, function, performance and the appearance of new product, determine The final design of new product.
Figure 19 is the block schematic illustration of product intelligent design provided by the invention.Product intelligent design can be described as product number again Word enterprise planning.Product realizes that intelligent design mainly relies on original PRM platform, digitlization demand management platform, PLM platform and big data Platform.The demand management platform that former PRM platform is constructed mainly around Fig. 6, Fig. 7, Figure 13, Figure 15, Figure 17 thinking digitizes demand It is guidance that platform, which is managed, with enterprise planning thinking, and Fig. 6, Fig. 7, Figure 13, Figure 15, Figure 17 are important component, enterprise planning key business Motion flow management parses product prototype according to business rule identification.PLM platform realizes product prototype and product programming book Management, big data platform is used to provide source of demand for new PRM platform, and offer market analysis data source etc..
Wherein, Products Digital enterprise planning can substantially be divided into Four processes, and demand collects confirmation, user market is analyzed, really Recognize product concept, generate product prototype.Specifically, it includes that the market demand is collected, sampling demand is collected, demand that demand, which collects confirmation, (docking big data platform) is collected in parsing and big data user demand.User market analysis includes user's population analysis, market point Analysis (docking big data platform), analysis result evaluation.Confirm that product concept includes creation product concept, related product concept and general Read assessment.Generating product prototype includes that user preference selects, product prototype generates (docking big data platform), product prototype is commented It examines, project verification (docking PLM platform).
Figure 20 is the system architecture schematic diagram of product intelligent design provided by the invention.As shown in figure 20, the product intelligent The system architecture of design includes headend equipment, web page server, dubbo (open source distributed service framework) server and DB data Library server, the data of the offers such as available the logical of beauty, PLM, 4A, stellar observatory, wisdom eye, product magic square.The product intelligent The system architecture of design specifically uses the mode of separate front and back, provides service by dubbo from the background, and front end is realized using ajax and adjusted With.Using dubbo Distributed Architecture, provide to a variety of NIO (New Input/Output, new input and output) based on long connection Frame abstract package, including a variety of threading models, serializing, and the information exchange system of " request-response " mode.Soft load Balanced and fault tolerant mechanism: the transparent remote invocation of procedure based on interface method is provided, including multi protocol supporting and soft load are Weighing apparatus, failure is fault-tolerant, and address routing, the clusters such as dynamic configuration are supported.The hardware load balancers such as F5 can be substituted in Intranet, reduce at This, reduces single-point.
Products intelligent design system, i.e. Products Digital enterprise planning platform, be one based on Products Digital enterprise planning process can The key technology of the development platform of configuration, realization includes: 1), can simple realization and periphery by visualizing unified configuration management System data transmitting.When expanding or modifying function, the stability of original structure will not be destroyed substantially.2) application server is supported Distributed deployment.Can centralization or distributed deployment, maintenance is simple, high reliablity.3) application server load balancing is supported.4) Load-balancing function ensures the availability applied, and avoids since system failure, link down or congestion, application failure etc. are to system Run bring adverse effect.Concurrency management mechanism is visualized, concurrent request conflict is solved, waits to be managed, and supports a variety of lattice Formula report and log output (excel, txt, html ...).5) short message/mail is supported to send.
Figure 21 is a kind of application flow schematic diagram of the invention, as shown in figure 21, can be real by carrying out parsing to pain spot Existing pain spot classification carries out product orientation according to the market demand and pain spot classification, determines the design direction of product.Further, may be used To determine the target product of product, confirming to SD list for target product is carried out.And the product that can create effective pain spot is general It reads, concept is assessed.Product prototype is based on this route of positioning-Concept Evaluation-product prototype at the beginning of product and generates, product Just positioning first determine product basic orientation: category, brand, the pain spot to be solved and the market demand and be based on market analysis The final firm price section of conclusion, capacity section, target product model etc., automatic trigger concept is commented after product just positions completion examination & approval Estimate process, Concept Evaluation process is completed to the assessment of concept and creation/association of technical point, automatic trigger one after process A product prototype process, product prototype all bring the content that the product orientation of front determines and Concept Evaluation result of study into product In prototype list, generates a product blank and eventually enter into research and development of products after constantly correcting.Follow-up plan tracking passes through Performance after the launch that digitlization enterprise planning systematic direction is produced, adjustment digitlization enterprise planning method, forms digitlization enterprise Draw closed loop.
Currently, many statuses of the industry in terms of product planning and deficiency are as follows: 1) data management system is weak, does not mark The acquisition and analysis system of standardization, cause initial data to be lost, distortion, can not analyze;2) the cross-cutting data dimension of cross-system is not One, it is difficult to which integration is excavated, analyzed, and fails to embody real data value;3) traditional manual report, real-time and accuracy are difficult To guarantee;4) enterprise planning mode is extensive, and the feature extraction of the quick-fried money in market has limitation, merely from the specified quick-fried money of justice of sales volume and pin, dimension It spends in single, and lacks foresight;5) new product performance is difficult to track, and user's demand and product pain spot are not known, product improves Do not have direction with enterprise planning, marketing users are lost without main threads;6) the demand acquisition of enterprise planning is only visited and is obtained by small sample sampling and market It takes, target group's covering is not comprehensive enough.
The problem of based on the above objective reality and disadvantage, the present invention propose a kind of products intelligent design method, it is intended to construct Multi-faceted data source is merged in customer-centric, market oriented demand management platform, introduces big data multi dimensional analysis Conclusion constructs assessment models and market analysis model, standardizes by the method that Fig. 6, Fig. 7, Figure 13, Figure 15, Figure 17 five opens table Enterprise planning development process realizes the intelligent design of product.To sum up, the present invention is solved and is managed easily under requirement documents, competing product analytical line The pain spot of distortion;It solves and is collected under demand line, cover the incomplete pain spot of user;Solve evaluation, market machine under demand line Manual analysis, Spec parameter setting can be put according to the pain spots of the artificial review result inaccuracy such as sampling finding confirmation;Definition The digitlization enterprise planning method of a set of " enterprise planning scheme is recommended in big data input-system automatically parses-";Propose pain spot classification, The appraisal procedures such as Concept Evaluation and market analysis model;Realize with grind enterprise planning work whole process standardized management.
The implementation that the present invention is parsed and is classified by pain spot, as shown in figure 22, so that enterprise planning personnel can be by presenting in real time Pain spot tracking report and analytical statement grasp pain spot disposition at any time: in user's pain spot of pain grade TOPN, which is not solved Certainly, which has been converted to concept, which has landed product.It is unsolved for important pain spot, it can prioritize processing, in this way There is Objective targetedly to handle user's pain spot, can largely promote the user experience of development.
The implementation of market analysis, as shown in figure 23, so that enterprise can hold city in the marketing data of magnanimity and complexity Field trend, catches the market opportunity, to promote product planning hit rate.
Standard set analyzes the foundation of system, the reality of " enterprise planning scheme is recommended in big data input-system automatically parses-" It applies, so that the more standardized intelligence of product planning, to improve the efficiency and enterprise planning hit rate of enterprise planning work.
It is counter to push accuracy and the enterprise planning side for requiring or being adjusted to ensure that source data meanwhile by system enterprise planning conclusion The feasibility of method, it is final that service operation is driven to be promoted.
The Standardization Practice of products intelligent design method will provide exemplary role for enterprise.Products intelligent design method has High reproducibility, the general principles defined herein can without departing from the spirit or scope of the present invention, It realizes in other embodiments.Most of enterprise this reproducible management process and management method when carrying out product planning.
Following is apparatus of the present invention embodiment, can be used for executing the product intelligence that the above-mentioned user equipment 110 of the present invention executes The embodiment of the method that can be designed.For undisclosed details in apparatus of the present invention embodiment, please refers to product of the present invention and intelligently set The embodiment of the method for meter.
Figure 24 is a kind of block diagram of the device of product intelligent design shown according to an exemplary embodiment, the product intelligent The device of design can be used in the user equipment 110 of implementation environment shown in Fig. 1, execute Fig. 3, Fig. 5, Fig. 8, Figure 11, Figure 13, figure 15 it is any shown in product intelligent design method all or part of step.As shown in figure 24, which includes but unlimited In: data acquisition module 2410, pain spot categorization module 2430, competing product screening module 2450, grade classification module 2470 and side Case determining module 2490.
Data acquisition module 2410, for obtaining, difference comments information in user demand and line under the line to appointed product, obtains User's pain spot corresponding to the appointed product;
Pain spot categorization module 2430 is worth, to the use with urgent for the prevalent value that basis is user's pain spot configuration Family pain spot is classified;
Competing product screening module 2450 obtains the competing product to each user's pain for being directed to the competing product of the appointed product The solution situation of point;
Grade classification module 2470, for basis to the classification of user's pain spot progress and the competing product to the user The solution situation of pain spot determines the priority level for solving user's pain spot;
Scheme determining module 2490, for according to the priority level for solving user's pain spot and solution user's pain The scheme grading of point, generates the tentative programme of the appointed product.
The function of modules and the realization process of effect are specifically detailed in the side of the said goods intelligent design in above-mentioned apparatus The realization process of step is corresponded in method, details are not described herein.
Data acquisition module 2410 such as can be some physical structure communication component 216 in Fig. 2.
Pain spot categorization module 2430, competing product screening module 2450, grade classification module 2470 and scheme determining module 2490 are also possible to functional module, the correspondence step in method for executing the said goods intelligent design.It is appreciated that these Module can by hardware, software, or a combination of both realize.When realizing in hardware, these modules be may be embodied as One or more hardware modules, such as one or more specific integrated circuits.When being realized with software mode, these modules can be with The one or more computer programs executed on the one or more processors are embodied as, such as performed by the processor 218 of Fig. 2 Storage program in memory 204.
Optionally, the present invention also provides a kind of electronic equipment, which can be used for the use of implementation environment shown in Fig. 1 In family equipment 110, execute Fig. 3, Fig. 5, Fig. 8, Figure 11, Figure 13, Figure 15 it is any shown in product intelligent design method whole Or part steps.Described device includes:
Processor;
Memory for storage processor executable instruction;
Wherein, the processor is configured to the method for executing the design of product intelligent described in above method embodiment
The concrete mode that the processor of electronic equipment executes operation in the embodiment is designed in the related product intelligent Method embodiment in perform detailed description, no detailed explanation will be given here.
In the exemplary embodiment, a kind of storage medium is additionally provided, which is computer readable storage medium, It such as can be the provisional and non-transitorycomputer readable storage medium for including instruction.The storage medium is stored with computer Program, the method that the computer program can be executed by the processor 218 of device 200 to complete the said goods intelligent design.
It should be understood that the present invention is not limited to the precise structure already described above and shown in the accompanying drawings, and And various modifications and change can executed without departing from the scope.The scope of the present invention is limited only by the attached claims.

Claims (10)

1. a kind of method of product intelligent design characterized by comprising
Acquisition comments information to difference on user demand under the line of appointed product and line, obtains user's pain corresponding to the appointed product Point;
According to the prevalent value configured for user's pain spot and urgent value, classify to user's pain spot;
For the competing product of the appointed product, the competing product are obtained to the solution situation of each user's pain spot;
According to the classification and the competing product carried out to user's pain spot to the solution situation of user's pain spot, determines and solve institute State the priority level of user's pain spot;
According to the priority level for solving user's pain spot and the scheme grading for solving user's pain spot, generate described specified The tentative programme of product.
2. the method according to claim 1, wherein the basis be user's pain spot configuration prevalent value and Urgent value, classifies to user's pain spot, comprising:
According to the prevalent value configured for user's pain spot and urgent value, prevalent value median and the institute of all user's pain spots are determined There is the urgent value median of user's pain spot;
User's pain spot that prevalent value is greater than the prevalent value median and urgent value is greater than the urgent value median is divided into It is preferential to solve pain spot.
3. the method according to claim 1, wherein classification that the basis carries out user's pain spot and institute Competing product are stated to the solution situation of user's pain spot, determine the priority level for solving user's pain spot, comprising:
According to the classification carried out to user's pain spot, preferential solution pain spot, public pain spot, individual character pain spot and deposit pain are obtained Point;
According to the competing product and the supplied product of current enterprise to the preferential solution pain spot, public pain spot, individual character pain spot and storage The solution situation of standby pain spot, determines the priority level for solving different user pain spot.
4. the method according to claim 1, wherein it is described according to the priority level for solving user's pain spot with And the scheme grading of user's pain spot is solved, before the tentative programme for generating the appointed product, the method also includes:
It according to the goodness of fit of solution corresponding to user's pain spot, realizability, cost of implementation and realizes the period, calculates institute State the assessed value of solution corresponding to user's pain spot;
It is multiplied to obtain the pain grade of user's pain spot with urgent value by the prevalent value of user's pain spot;
The pain grade of user's pain spot is weighted with the assessed value of solution corresponding to user's pain spot and is merged, is obtained Solve the scheme grading of user's pain spot.
5. the method according to claim 1, wherein it is described according to the priority level for solving user's pain spot with And the scheme grading of user's pain spot is solved, generate the tentative programme of the appointed product, comprising:
According to the priority level for solving user's pain spot, the target pain spot preferentially solved is filtered out;
Obtain the willingness to pay for solving the target pain spot;
According to the scheme grading and willingness to pay for solving the target pain spot, scheme grading and willingness to pay are all larger than median Solution be included in exploitation, obtain the tentative programme of the appointed product.
6. the method according to claim 1, wherein the method also includes:
The sales volume data of different performance product in the market are obtained, market opportunity inventory is constructed;
Several names before searching accounting ranking in market in the market opportunity inventory, and ring than with the market opportunity that rises on year-on-year basis Point obtains the corresponding target product of the market opportunity point;
Obtain the corresponding price of the target product, performance and capacity data.
7. according to the method described in claim 6, it is characterized in that, the method also includes:
According to the price, performance, capacity of the target product, the product prototype of the appointed product is positioned;
On the basis of the product prototype, the function program of the tentative programme and user preference is merged, is determined described specified The final design of product.
8. a kind of device of product intelligent design characterized by comprising
Data acquisition module, for obtaining, difference comments information in user demand and line under the line to appointed product, obtains corresponding to institute State user's pain spot of appointed product;
Pain spot categorization module, for according to the prevalent value and urgent value for being user's pain spot configuration, to user's pain spot into Row classification;
Competing product screening module obtains solution of the competing product to each user's pain spot for being directed to the competing product of the appointed product Situation;
Grade classification module, for the solution according to the classification and the competing product carried out to user's pain spot to user's pain spot Certainly situation determines the priority level for solving user's pain spot;
Scheme determining module, for the scheme according to the priority level and solution user's pain spot that solve user's pain spot Grading, generates the tentative programme of the appointed product.
9. a kind of electronic equipment, which is characterized in that the electronic equipment includes:
Processor;
Memory for storage processor executable instruction;
Wherein, the processor is configured to the method that perform claim requires the design of product intelligent described in 1-7 any one.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer journey Sequence, the computer program can be executed the side for completing product intelligent described in claim 1-7 any one and designing as processor Method.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117649255A (en) * 2024-01-26 2024-03-05 美云智数科技有限公司 Product pain point identification method and device, electronic equipment and storage medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130110586A1 (en) * 2011-11-02 2013-05-02 Salesforce.Com, Inc. Developing a customized product strategy
US8818838B1 (en) * 2009-03-12 2014-08-26 Henry Rak Consulting Partners, LLC System and method for efficiently developing a hypothesis regarding the structure of a market
CN106339898A (en) * 2016-08-18 2017-01-18 互动派科技股份有限公司 Product innovation method based on internet big data
US20170068976A1 (en) * 2015-09-09 2017-03-09 Hartford Fire Insurance Company System using automatically triggered analytics for feedback data
CN108388660A (en) * 2018-03-08 2018-08-10 中国计量大学 A kind of improved electric business product pain spot analysis method
CN108694615A (en) * 2018-05-22 2018-10-23 雷山县方祥新科野猪林特种养殖专业合作社 A kind of big data analysis adds the new agriculture commercial operation pattern of product introduction

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8818838B1 (en) * 2009-03-12 2014-08-26 Henry Rak Consulting Partners, LLC System and method for efficiently developing a hypothesis regarding the structure of a market
US20130110586A1 (en) * 2011-11-02 2013-05-02 Salesforce.Com, Inc. Developing a customized product strategy
US20170068976A1 (en) * 2015-09-09 2017-03-09 Hartford Fire Insurance Company System using automatically triggered analytics for feedback data
CN106339898A (en) * 2016-08-18 2017-01-18 互动派科技股份有限公司 Product innovation method based on internet big data
CN108388660A (en) * 2018-03-08 2018-08-10 中国计量大学 A kind of improved electric business product pain spot analysis method
CN108694615A (en) * 2018-05-22 2018-10-23 雷山县方祥新科野猪林特种养殖专业合作社 A kind of big data analysis adds the new agriculture commercial operation pattern of product introduction

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
壹叔: ""很多产品经理做了三五年却止步不前,是因为他们没有掌握这个…"", 《HTTPS://WWW.SOHU.COM/A/146085548_473285》 *
阿瑟: ""打车类应用竞品分析-以滴滴出行、首汽汽车为例"", 《HTTP://WWW.CHANPIN100.COM/ARTICLE/105073》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117649255A (en) * 2024-01-26 2024-03-05 美云智数科技有限公司 Product pain point identification method and device, electronic equipment and storage medium

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