CN107067284A - A kind of accurate shopping guide method of individual character applied to big data - Google Patents
A kind of accurate shopping guide method of individual character applied to big data Download PDFInfo
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- CN107067284A CN107067284A CN201710270786.2A CN201710270786A CN107067284A CN 107067284 A CN107067284 A CN 107067284A CN 201710270786 A CN201710270786 A CN 201710270786A CN 107067284 A CN107067284 A CN 107067284A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0623—Item investigation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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Abstract
The present invention discloses a kind of accurate shopping guide method of the individual character applied to big data, it is related to computer big data field, the shopping guide APP Quick Response Codes for scanning market hall by customer download application, the application obtains customer consumption data by binding customer identification certificate, market member card or electric business account, inquire about consumer record and then by the purchasing power, consumption habit, purchasing demand of big data Platform Analysis customer, pointedly push customer's commodity interested；Customer locks commodity, commodity particular location, programme path is found by market mental map built in shopping guide APP by opening application input trade name, and direct customers are gone directly the shop free choice of goods.The saving time of the present invention improves shopping efficiency, solves mall shopping inadequate resource, it is impossible to the problem of accomplishing personalized precisely shopping guide, reduces market operation cost, improves transaction success rate, improves customers' perception and the good purchase experiences of increase.
Description
Technical field
The present invention relates to computer big data field, the specifically a kind of accurate shopping guide side of individual character applied to big data
Method.
Background technology
From technical standpoint, big data refer to can not be caught in the range of certain time with conventional software instrument, manage and
The data acquisition system of processing, is needed by new tupe, could be had stronger decision edge, be seen clearly discovery power and process optimization
Magnanimity, high growth rate and the diversified information assets of ability.With the improvement of living standards, daily living article species is more next
It is abundanter, increasing shop, shop quantity, commodity a great variety have been opened up in megastore therewith.
At present, shopping guide's resource that each emporium possesses is much not enough, it is impossible to accomplish personalized accurate shopping guide to different customers.
When customer enters the shopping of this megastore, the store location of commodity needed for being unfamiliar with, shopping guide's resource is again not enough, finds business
Product, shop often waste plenty of time and energy, and very big inconvenience is brought to customer purchase, while be unfavorable for improving transaction rate,
Add market operation cost.
The content of the invention
There is provided a kind of individual character applied to big data is accurate for the demand and weak point that the present invention develops for current technology
Shopping guide method and method.
The accurate shopping guide method of a kind of individual character applied to big data of the present invention, solves the skill that above-mentioned technical problem is used
Art scheme is as follows：The accurate shopping guide method of the individual character applied to big data, the shopping guide APP bis- in market hall is scanned by customer
Tie up code and download application, the shopping guide APP is applied obtains customer by binding customer identification certificate, market member card or electric business account
Consumption data, inquire about consumer record, and then pass through the purchasing power of big data Platform Analysis customer, consumption habit, purchase need
Ask, pointedly push customer's commodity interested；
Customer locks commodity by opening application input trade name, is found by the built-in market mental map of shopping guide APP applications
Commodity particular location, programme path, direct customers are gone directly the shop free choice of goods.
It is preferred that, downloaded and applied by the shopping guide APP Quick Response Codes, support Android and ios platforms.
It is preferred that, applied by the shopping guide APP, the direct search of trade name keyword can be inputted, floor, class is supported
Type, initial are searched for generally, and then find the commodity of customer need.
It is preferred that, shopping guide APP application provides membership service device function, the application by with customer's phone number, business
Field member card binding, automatic push customer has focused on the price, discount, bargain price information of commodity, and being capable of self-service query meeting
Member's integration, member privilege information and purchaser record.
It is preferred that, the shopping guide APP applications provide the accurate shopping guide of individual character of different customers, comprise the following steps that：
The first step, is bound by the shopping guide APP and customer's phone number, market member card, electric business account, gathers the base of customer
This information and behavioural information；
Second step, according to the customer's essential information and behavioural information of collection, base attribute, the behavior for analyzing each customer are special
Levy, buy feature, interest preference；
3rd step, all information datas of customer collected by first two steps, is modeled to customer consumption ability and custom, then whole
Close market merchandise news and be adapted to out the personalized shopping guide displaying for meeting each customer, and commodity are pushed, and carry out different customers'
The accurate shopping guide of individual character.
The accurate shopping guide method of a kind of individual character applied to big data of the present invention and method, have compared with prior art
Beneficial effect be：Shopping guide APP of the present invention is bound with customer market member card and electric business account, can obtain customer market
Purchaser record, and the daily consumption in electric business platform, by data acquisition to big data platform, are analyzed by big data
" the user's portrait " of customer（Modeling）, automatic push customer commodity interested, the commodity different to different customer's push, formulation
Personalized shopping guide recommends；Customer is automatically positioned store location after selecting commodity, by the through shop of mental map direct customers,
The saving time improves shopping efficiency, while mall shopping inadequate resource can also be solved, it is impossible to accomplish personalized precisely shopping guide's
Problem, reduces market operation cost, improves transaction success rate, lifting customers' perception and the good purchase experiences of increase.
Embodiment
For the object, technical solutions and advantages of the present invention are more clearly understood, below in conjunction with specific embodiment, to this hair
A kind of bright accurate shopping guide method of individual character applied to big data is further described.
The present invention proposes a kind of accurate shopping guide method of the individual character applied to big data, and market hall is scanned by customer
Shopping guide APP Quick Response Codes download application, and the electric business account such as application binding personalized identity documents, market member card or the Alipay is obtained
The consumption data of customer, inquires about consumer record, so by big data Platform Analysis go out the purchasing power of customer, consumption habit,
Purchasing demand；
Customer's commodity interested are targetedly pushed, customer can be also opened using input trade name, and commodity valency is understood at any time
Lattice information, locks commodity, and automatic direct customers are gone directly target shop.
Embodiment：
The accurate shopping guide method of individual character of big data is applied to described in the present embodiment, its specific implementation process comprises the following steps：
First, customer downloads application by scanning the shopping guide APP Quick Response Codes in market hall, supports Android and ios platforms；
Second, customer opens application, and the consumption of client is obtained by binding personalized identity documents, market member card or Alipay
Data, inquire about consumer record, and then go out by big data Platform Analysis the purchasing power, consumption habit, purchasing demand of client；
Directly searched by inputting trade name keyword, also support floor, type, initial to search for generally, find required business
Product；Then, commodity particular location is found by market mental map built in shopping guide APP, programme path is guided direct according to the map
Reach the target shop free choice of goods；
3rd, it can provide membership service function to customer by shopping guide APP applications；Phone number binding is supported, it is convenient to turn round and look at
Visitor understands the pricing information for having focused on commodity at any time, and the discount and bargain price of commodity can be had focused on to customer's active push
Information.
Meanwhile, applied by the shopping guide APP, can be automatic for the purchasing power, consumption habit, purchasing demand of customer
Push client's commodity interested, accurately push the related store information in market to client, including commodity are preferential, store location,
New shop opening etc.；And the through shop of client is guided by market mental map.
Mental map built in the shopping guide APP can provide the map displaying of market integral vertical body spatial impression, and arbitrarily
The mental map of position is guided.After commodity needed for customer is selected, mental map will be cooked up from customer position to business
The route map in product shop, customer can guide through shop according to the map.
If commodity needed for customer is indefinite, brand function of search can be used, support is searched by floor, type, initial
Rope, or input keyword direct search, find the commodity required for customer.
In addition, the shopping guide APP apply, additionally provide membership service device, the shopping guide APP by with customer's cell-phone number, market
Member card is bound, and customer being capable of self-service query member integration, the information such as member privilege information and purchaser record.
The present embodiment is applied to the accurate shopping guide method of individual character of big data, realizes the accurate shopping guide of individual character of different customers,
Comprise the following steps that：
The first step, data acquisition
Bound by the shopping guide APP and customer's phone number, market member card, electric business account, obtain the basic letter of collection customer
Breath and behavioural information；
Second step, labels to customer
According to the customer's essential information and behavioural information of collection, the base attribute, behavioural characteristic, purchase for analyzing each customer are special
Levy, interest preference；
3rd step, customer's modeling
The accurate shopping guide of individual character is carried out, by all data of customer collected by first two steps, including the metastable information of customer, such as
The dynamics such as purchaser record, consumption habit, the hobby of sex, region, occupation, the consumption static data such as grade, and customer
Data, are modeled to customer consumption ability and custom, then integrate market merchandise news and be adapted to out the individual character for meeting each user
Change shopping guide's displaying, and commodity are pushed, and realize the accurate shopping guide of individual character for different customers.
Above-mentioned embodiment is only the specific case of the present invention, and scope of patent protection of the invention includes but is not limited to
Above-mentioned embodiment, any person of an ordinary skill in the technical field that meet claims of the present invention and any
The appropriate change or replacement done to it, should all fall into the scope of patent protection of the present invention.
Claims (5)
1. the accurate shopping guide method of a kind of individual character applied to big data, it is characterised in that leading for market hall is scanned by customer
Purchase APP Quick Response Codes and download application, the shopping guide APP is applied by binding customer identification certificate, market member card or electric business account
The consumption data of customer is obtained, consumer record is inquired about, and then practise by the purchasing power of big data Platform Analysis customer, consumption
Used, purchasing demand, pointedly pushes customer's commodity interested；
Customer locks commodity by opening application input trade name, is found by the built-in market mental map of shopping guide APP applications
Commodity particular location, programme path, direct customers are gone directly the shop free choice of goods.
2. the accurate shopping guide method of a kind of individual character applied to big data according to claim 1, it is characterised in that pass through institute
State shopping guide APP Quick Response Codes and download application, support Android and ios platforms.
3. the accurate shopping guide method of a kind of individual character applied to big data according to claim 2, it is characterised in that pass through institute
Shopping guide APP applications are stated, the direct search of trade name keyword can be inputted, support floor, type, initial to search for generally, enter
And find the commodity of customer need.
4. the accurate shopping guide method of a kind of individual character applied to big data according to claim 3, it is characterised in that described to lead
Purchase APP applications and membership service device function is provided, the application with customer's phone number, market member card by binding, automatic push
Customer has focused on the price, discount, bargain price information of commodity, and can self-service query member integration, member privilege information with
And purchaser record.
5. the accurate shopping guide method of a kind of individual character applied to big data according to claim 4, it is characterised in that described to lead
The accurate shopping guide of individual character that APP applications provide different customers is purchased, is comprised the following steps that：
The first step, is bound by the shopping guide APP and customer's phone number, market member card, electric business account, gathers the base of customer
This information and behavioural information；
Second step, according to the customer's essential information and behavioural information of collection, base attribute, the behavior for analyzing each customer are special
Levy, buy feature, interest preference；
3rd step, all information datas of customer collected by first two steps, is modeled to customer consumption ability and custom, then whole
Close market merchandise news and be adapted to out the personalized shopping guide displaying for meeting each customer, and commodity are pushed, and carry out different customers'
The accurate shopping guide of individual character.
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Cited By (26)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107563814A (en) * | 2017-09-05 | 2018-01-09 | 合肥工业大学 | A kind of o2o based on customer's stream recommends method |
| CN107862544A (en) * | 2017-09-30 | 2018-03-30 | 珠海格力电器股份有限公司 | Method of Commodity Recommendation and device |
| CN108062685A (en) * | 2017-12-15 | 2018-05-22 | 杨智勇 | Intelligent marketing and reservation system and method based on short-term resting space |
| CN108694569A (en) * | 2018-08-03 | 2018-10-23 | 四川民工加网络科技有限公司 | To the information-pushing method and device of mobility worker |
| CN108765061A (en) * | 2018-05-02 | 2018-11-06 | 开源物联网（广州）有限公司 | Enterprise and user's integral intelligent service system |
| CN108804531A (en) * | 2018-05-02 | 2018-11-13 | 开源物联网（广州）有限公司 | Push Prediction System based on user location |
| CN109165992A (en) * | 2018-07-16 | 2019-01-08 | 北京旷视科技有限公司 | A kind of intelligent shopping guide method, apparatus, system and computer storage medium |
| CN109934623A (en) * | 2019-02-26 | 2019-06-25 | 中山大学 | Individual economy consuming capacity prediction technique based on user's APP usage behavior |
| CN109960713A (en) * | 2019-03-11 | 2019-07-02 | 秒针信息技术有限公司 | Method and device, storage medium and the electronic device of commodity are searched in market |
| CN110135906A (en) * | 2019-05-14 | 2019-08-16 | 赵东 | It is a kind of being capable of shopping guide and the intelligent sales counter that precisely pushes |
| CN110264219A (en) * | 2019-05-06 | 2019-09-20 | 浙江华坤道威数据科技有限公司 | A kind of client's monitoring analysis system based on big data |
| CN110533471A (en) * | 2019-08-30 | 2019-12-03 | 王艺锦 | Shop user's intelligent management system based on head and shoulder identification and recognition of face |
| CN110706014A (en) * | 2018-07-10 | 2020-01-17 | 杭州海康威视***技术有限公司 | Shopping mall store recommendation method, device and system |
| CN110910221A (en) * | 2019-11-27 | 2020-03-24 | 山东浪潮人工智能研究院有限公司 | Market intelligent shopping guide method and system based on artificial intelligence |
| CN111178920A (en) * | 2018-11-09 | 2020-05-19 | 阿里巴巴集团控股有限公司 | Commodity object information recommendation method, device and system |
| CN111612494A (en) * | 2019-05-14 | 2020-09-01 | 北京精准沟通传媒科技股份有限公司 | Data processing method and device |
| CN111681055A (en) * | 2020-06-11 | 2020-09-18 | 广东微谱网络科技有限公司 | Commodity re-purchasing pushing method, system, equipment and computer readable medium |
| CN111861826A (en) * | 2020-08-05 | 2020-10-30 | 北京育宝科技有限公司 | Learning auxiliary method, device and system based on network environment |
| CN111985997A (en) * | 2020-08-19 | 2020-11-24 | 济南浪潮高新科技投资发展有限公司 | Intelligent off-line retail commodity recommendation method and tool based on block chain technology |
| CN112348607A (en) * | 2019-08-09 | 2021-02-09 | 上海红星美凯龙悦家互联网科技有限公司 | Image-based shopping guide method, terminal, device, medium and system in commercial place |
| CN112348609A (en) * | 2019-08-09 | 2021-02-09 | 上海红星美凯龙悦家互联网科技有限公司 | Customer demand analysis method, device, equipment and storage medium |
| CN113052651A (en) * | 2021-03-17 | 2021-06-29 | 广东便捷神科技股份有限公司 | Intelligent retail management method and system based on big data |
| CN113191799A (en) * | 2020-09-25 | 2021-07-30 | 汪洋 | Market intelligence shopping guide system based on big data |
| CN113283968A (en) * | 2021-06-15 | 2021-08-20 | 郑州轻工业大学 | Data processing method, system and storage medium based on big data and cloud service |
| CN114387040A (en) * | 2022-03-22 | 2022-04-22 | 触电网络科技(深圳)有限公司 | Intelligent customer-expanding method and system based on artificial intelligence |
| CN115082130A (en) * | 2022-07-20 | 2022-09-20 | 深圳市昭俐测量仪器有限公司 | Advertisement propaganda method and system for equipment sales |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103886484A (en) * | 2014-03-14 | 2014-06-25 | 河海大学常州校区 | Shopping guiding system for large-scale commercial block |
| CN104881802A (en) * | 2015-06-26 | 2015-09-02 | 深圳市华阳信通科技发展有限公司 | Intelligent device and goods association recommendation method thereof |
| CN105631695A (en) * | 2014-11-26 | 2016-06-01 | 镇江雅迅软件有限责任公司 | Android platform-based discount application system |
| CN105809486A (en) * | 2016-03-15 | 2016-07-27 | 上海爱数信息技术股份有限公司 | Mall shopping guide system and method capable of improving shopping efficiency |
| CN106447429A (en) * | 2016-09-09 | 2017-02-22 | 宇龙计算机通信科技(深圳)有限公司 | Message pushing method, apparatus and terminal |
-
2017
- 2017-04-24 CN CN201710270786.2A patent/CN107067284A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103886484A (en) * | 2014-03-14 | 2014-06-25 | 河海大学常州校区 | Shopping guiding system for large-scale commercial block |
| CN105631695A (en) * | 2014-11-26 | 2016-06-01 | 镇江雅迅软件有限责任公司 | Android platform-based discount application system |
| CN104881802A (en) * | 2015-06-26 | 2015-09-02 | 深圳市华阳信通科技发展有限公司 | Intelligent device and goods association recommendation method thereof |
| CN105809486A (en) * | 2016-03-15 | 2016-07-27 | 上海爱数信息技术股份有限公司 | Mall shopping guide system and method capable of improving shopping efficiency |
| CN106447429A (en) * | 2016-09-09 | 2017-02-22 | 宇龙计算机通信科技(深圳)有限公司 | Message pushing method, apparatus and terminal |
Non-Patent Citations (1)
| Title |
|---|
| 陈衍: "导购APP的盈利蓝图", 《经理人》 * |
Cited By (30)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107563814A (en) * | 2017-09-05 | 2018-01-09 | 合肥工业大学 | A kind of o2o based on customer's stream recommends method |
| CN107862544A (en) * | 2017-09-30 | 2018-03-30 | 珠海格力电器股份有限公司 | Method of Commodity Recommendation and device |
| CN108062685A (en) * | 2017-12-15 | 2018-05-22 | 杨智勇 | Intelligent marketing and reservation system and method based on short-term resting space |
| CN108765061A (en) * | 2018-05-02 | 2018-11-06 | 开源物联网（广州）有限公司 | Enterprise and user's integral intelligent service system |
| CN108804531A (en) * | 2018-05-02 | 2018-11-13 | 开源物联网（广州）有限公司 | Push Prediction System based on user location |
| CN110706014A (en) * | 2018-07-10 | 2020-01-17 | 杭州海康威视***技术有限公司 | Shopping mall store recommendation method, device and system |
| CN109165992A (en) * | 2018-07-16 | 2019-01-08 | 北京旷视科技有限公司 | A kind of intelligent shopping guide method, apparatus, system and computer storage medium |
| CN108694569A (en) * | 2018-08-03 | 2018-10-23 | 四川民工加网络科技有限公司 | To the information-pushing method and device of mobility worker |
| CN111178920B (en) * | 2018-11-09 | 2023-07-07 | 阿里巴巴(深圳)技术有限公司 | Commodity object information recommendation method, device and system |
| CN111178920A (en) * | 2018-11-09 | 2020-05-19 | 阿里巴巴集团控股有限公司 | Commodity object information recommendation method, device and system |
| CN109934623A (en) * | 2019-02-26 | 2019-06-25 | 中山大学 | Individual economy consuming capacity prediction technique based on user's APP usage behavior |
| CN109960713A (en) * | 2019-03-11 | 2019-07-02 | 秒针信息技术有限公司 | Method and device, storage medium and the electronic device of commodity are searched in market |
| CN110264219B (en) * | 2019-05-06 | 2021-11-30 | 浙江华坤道威数据科技有限公司 | Customer monitoring and analyzing system based on big data |
| CN110264219A (en) * | 2019-05-06 | 2019-09-20 | 浙江华坤道威数据科技有限公司 | A kind of client's monitoring analysis system based on big data |
| CN110135906A (en) * | 2019-05-14 | 2019-08-16 | 赵东 | It is a kind of being capable of shopping guide and the intelligent sales counter that precisely pushes |
| CN111612494A (en) * | 2019-05-14 | 2020-09-01 | 北京精准沟通传媒科技股份有限公司 | Data processing method and device |
| CN112348607A (en) * | 2019-08-09 | 2021-02-09 | 上海红星美凯龙悦家互联网科技有限公司 | Image-based shopping guide method, terminal, device, medium and system in commercial place |
| CN112348609A (en) * | 2019-08-09 | 2021-02-09 | 上海红星美凯龙悦家互联网科技有限公司 | Customer demand analysis method, device, equipment and storage medium |
| CN110533471A (en) * | 2019-08-30 | 2019-12-03 | 王艺锦 | Shop user's intelligent management system based on head and shoulder identification and recognition of face |
| CN110910221A (en) * | 2019-11-27 | 2020-03-24 | 山东浪潮人工智能研究院有限公司 | Market intelligent shopping guide method and system based on artificial intelligence |
| CN111681055A (en) * | 2020-06-11 | 2020-09-18 | 广东微谱网络科技有限公司 | Commodity re-purchasing pushing method, system, equipment and computer readable medium |
| CN111861826A (en) * | 2020-08-05 | 2020-10-30 | 北京育宝科技有限公司 | Learning auxiliary method, device and system based on network environment |
| CN111985997A (en) * | 2020-08-19 | 2020-11-24 | 济南浪潮高新科技投资发展有限公司 | Intelligent off-line retail commodity recommendation method and tool based on block chain technology |
| CN113191799A (en) * | 2020-09-25 | 2021-07-30 | 汪洋 | Market intelligence shopping guide system based on big data |
| CN113052651A (en) * | 2021-03-17 | 2021-06-29 | 广东便捷神科技股份有限公司 | Intelligent retail management method and system based on big data |
| CN113052651B (en) * | 2021-03-17 | 2024-04-23 | 广东便捷神科技股份有限公司 | Intelligent retail management method and system based on big data |
| CN113283968A (en) * | 2021-06-15 | 2021-08-20 | 郑州轻工业大学 | Data processing method, system and storage medium based on big data and cloud service |
| CN114387040A (en) * | 2022-03-22 | 2022-04-22 | 触电网络科技(深圳)有限公司 | Intelligent customer-expanding method and system based on artificial intelligence |
| CN115082130B (en) * | 2022-07-20 | 2022-11-11 | 深圳市昭俐测量仪器有限公司 | Advertisement propaganda method and system for equipment sales |
| CN115082130A (en) * | 2022-07-20 | 2022-09-20 | 深圳市昭俐测量仪器有限公司 | Advertisement propaganda method and system for equipment sales |
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