CN106600341A - Commodity sales volume statistical method - Google Patents
Commodity sales volume statistical method Download PDFInfo
- Publication number
- CN106600341A CN106600341A CN201611242941.1A CN201611242941A CN106600341A CN 106600341 A CN106600341 A CN 106600341A CN 201611242941 A CN201611242941 A CN 201611242941A CN 106600341 A CN106600341 A CN 106600341A
- Authority
- CN
- China
- Prior art keywords
- data
- tradable commodity
- trading order
- order form
- user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
-
- 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]
Landscapes
- Business, Economics & Management (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Engineering & Computer Science (AREA)
- Development Economics (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Data Mining & Analysis (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
An embodiment of the invention relates to a commodity sales volume statistical method. The commodity sales volume statistical method comprises the steps of: receiving transaction order information by means of a server, wherein the transaction order information comprises transaction order data; determining transaction commodity name data, transaction commodity quantity, the transaction time data, transaction commodity price and user information data based on the transaction order data; receiving a statistical instruction sent by terminal equipment, wherein the statistical instruction comprises one or more of the transaction commodity name data, the transaction time data, the transaction commodity price and the user information data; counting transaction commodity quantity in the transaction order data according to the statistical instruction, and determining statistical result data; and sending the statistical result data to the terminal equipment, and displaying the statistical result data by means of the terminal equipment.
Description
Technical field
The present invention relates to communication technical field, more particularly to a kind of Sales Volume of Commodity statistical method.
Background technology
With the rise of shopping at network platform, the sales range of businessman gradually expands, and affects the factor of sales volume also more next
It is more.The consumer group of traditional store is on-site consumer of retail shop, and Sales Volume of Commodity analysis is only needed to be counted according to season
Offtake.But the consumer of shopping at network platform has been not limited to retail shop location, the consumer group is distributed in all parts of the country,
As the demand gap of the wide southern and northern consumer group in China region is larger, businessman clearly cannot accurately analyze customer consumption feelings
Condition, can directly affect sales volume.
The content of the invention
The purpose of the present invention is the defect for prior art, there is provided a kind of Sales Volume of Commodity statistical method, is handed over by recording
Easy order data, and carry out carrying out trading order form data statistical analysiss according to the instruction of user, analysis efficiency is high, analytical effect
Accurately, by analyzing commodity transaction situation, statistical result data can intuitively represent trading situation, such that it is able to help user
Commodity are adjusted and reasonable distribution in real time, preferably plan merchandise sales scheme to improve sales volume.
In view of this, a kind of Sales Volume of Commodity statistical method is embodiments provided, the method includes：
Server receives trading order form information, wherein, the trading order form information includes trading order form data；
According to the trading order form data, determine tradable commodity name data, tradable commodity quantity, exchange hour data,
Tradable commodity price and user profile data；
Receiving terminal apparatus send statistics instruction, wherein, it is described statistics instruction include the tradable commodity name data,
One or more in the exchange hour data, the tradable commodity price and the user profile data；
Tradable commodity quantity in the trading order form data is counted according to the statistics instruction, determine statistical result
Data；
By the statistical result data is activation to terminal unit, the statistical result number is shown by the terminal unit
According to.
It is alternatively, described tradable commodity quantity in the trading order form data to be counted according to the statistics instruction,
Determine that statistical result data are specifically included：
The exchange hour statistics block information that receiving terminal apparatus send, wherein, statistics interval packet includes starting
Exchange hour data and termination exchange hour data；
Block information is counted according to the exchange hour exchange hour data is matched in the trading order form data,
Determine the first matching result；
The corresponding first tradable commodity quantity of the exchange hour data is determined according to first matching result；
Block information is counted according to the exchange hour and the first tradable commodity quantity generates the statistical result number
According to.
It is alternatively, described tradable commodity quantity in the trading order form data to be counted according to the statistics instruction,
Determine that statistical result data are specifically included：
The first tradable commodity price that receiving terminal apparatus send；
The tradable commodity price is matched in the trading order form data according to the first tradable commodity price, it is determined that
Second matching result；
Corresponding second commodity amount of the first tradable commodity price is determined according to second matching result；
The statistical result data are generated according to the first tradable commodity price and the second tradable commodity quantity.
It is alternatively, described tradable commodity quantity in the trading order form data to be counted according to the statistics instruction,
Determine that statistical result data are specifically included：
The first tradable commodity name data that receiving terminal apparatus send；
The tradable commodity title is matched in the trading order form data according to the first tradable commodity name data
Data, determine the 3rd matching result；
Corresponding 3rd commodity amount of the first tradable commodity name data is determined according to the 3rd matching result；
The statistical result number is generated according to the first tradable commodity name data and the 3rd tradable commodity quantity
According to.
It is alternatively, described tradable commodity quantity in the trading order form data to be counted according to the statistics instruction,
Determine that statistical result data are specifically included：
The first user information data that receiving terminal apparatus send；
The user profile data are matched in the trading order form data according to the first user information data, it is determined that
4th matching result；
Corresponding 4th commodity amount of the first user information data is determined according to the 4th matching result；
The statistical result data are generated according to the first user information data and the 4th tradable commodity quantity.
Alternatively, it is characterised in that the user profile data include：Age of user data, the affiliated industry data of user,
The affiliated address date of user and user's gender data.
It is alternatively, described tradable commodity quantity in the trading order form data to be counted according to the statistics instruction,
Determine that statistical result data include：
According to the age of user data, the affiliated industry data of the user, the affiliated address date of the user and described
One or more in user's gender data are counted to tradable commodity quantity in the trading order form data, it is determined that statistics knot
Fruit data.
Alternatively, the server receives trading order form information and is specially：
The attribute-bit information of identification order；
When the attribute-bit information of the order is transaction ID information, determine that the order is trading order form；
Obtain the sequence information of the trading order form.
Alternatively, show that the statistical result data are specially by the terminal unit：
By the terminal unit, the statistical result data are processed, generate statistical result data to be shown；
Form, block diagram, broken line graph are generated according to user interface of the statistical result data to be shown in terminal unit
And/or sequential chart, shown.
Sales Volume of Commodity statistical method provided in an embodiment of the present invention, by recording trading order form data, and according to user's
Instruction carries out carrying out trading order form data statistical analysiss, and analysis efficiency is high, analytical effect is accurate, by analyzing commodity transaction feelings
Condition, statistical result data can intuitively represent trading situation, such that it is able to help user in real time commodity are adjusted with
Reasonable distribution, preferably plans merchandise sales scheme to improve sales volume.
Description of the drawings
Fig. 1 is a kind of flow chart of Sales Volume of Commodity statistical method provided in an embodiment of the present invention；
Fig. 2 is the flow chart that a kind of server provided in an embodiment of the present invention receives trading order form information approach.
Specific embodiment
To make purpose, technical scheme and the advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
The a part of embodiment of the present invention, rather than the embodiment of whole.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Fig. 1 is a kind of flow chart of Sales Volume of Commodity statistical method provided in an embodiment of the present invention, as shown in Figure 1, it may include：
In step 110, server receives trading order form information.Wherein, trading order form information includes trading order form data.
For example, client submits trading order form information, application server on mobile terminals when mobile terminal buys commodity
Receive the trading order form information that client sends.
Alternatively, Fig. 2 is the flow chart that a kind of server provided in an embodiment of the present invention receives trading order form information approach,
As shown in Fig. 2 server receives trading order form information can be specially：
In step 111, recognize the attribute-bit information of order.
In step 112, when the attribute-bit information of order is transaction ID information, determine that order is trading order form.
In step 113, the sequence information of trading order form is obtained.
For example, server recognize order attribute-bit information, when order attribute-bit for transaction ID information when
Wait, obtain the sequence information of the trading order form.
In the step 120, according to trading order form data, when determining tradable commodity name data, tradable commodity quantity, transaction
Between data, tradable commodity price and user profile data.
Alternatively, user profile data can also include：Belonging to age of user data, the affiliated industry data of user, user
Address date and user's gender data.
For example, according to the trading order form information for receiving, trading order form data are parsed, extracts trading order form data
In each item data and classify, for example, tradable commodity name data, tradable commodity quantity, exchange hour data, tradable commodity valency
Lattice, age of user data, the affiliated industry data of user and user's gender data etc..
In step 130, the statistics instruction that receiving terminal apparatus send.Wherein, statistics instruction includes tradable commodity title
One or more in data, exchange hour data, tradable commodity price and user profile data.
For example, when user needs the sales situations to commodity to carry out statistical analysiss, user can be with given transaction order numbers
According to each item data in one kind as condition, carry out conditional filtering.Or in each item data of given transaction order data
Several data are combined screening collectively as condition.Certain tradable commodity name data is for example specified as condition, or is referred to
Exchange hour data and tradable commodity price are determined collectively as condition.
In step 140, tradable commodity quantity in trading order form data is counted according to statistics instruction, it is determined that statistics
Result data.
Alternatively, in step 140, tradable commodity quantity in trading order form data is counted according to statistics instruction, really
Determining statistical result data can also include：
According in age of user data, the affiliated industry data of user, the affiliated address date of user and user's gender data
One or more are counted to tradable commodity quantity in trading order form data, determine statistical result data.
Alternatively, in step 140, tradable commodity quantity in trading order form data is counted according to statistics instruction,
Determine that statistical result data can specifically include：
The exchange hour statistics block information that receiving terminal apparatus send.Wherein, count interval packet and include initial transaction
Time data and termination exchange hour data.
Block information match trading time data in trading order form data is counted according to exchange hour, the first matching is determined
As a result.
The corresponding first tradable commodity quantity of exchange hour data is determined according to the first matching result.
Block information is counted according to exchange hour and the first tradable commodity quantity generates statistical result data.
For example, when the statistics instruction of reception is to carry out conditional filtering to exchange hour statistics block information, then server connects
Receive terminal unit send exchange hour statistics block information, by initial exchange hour data and terminate exchange hour data and
Exchange hour data in trading order form data are matched, and count the initial time and terminate the statistics of time after the match is successful
The quantity of All Activity commodity in interval, exchange hour statistics interval can be in units of day, in units of the moon, with season as list
The position time is unit according to the user-defined time.
Alternatively, tradable commodity quantity in trading order form data is counted according to statistics instruction, determines statistical result
Data can specifically include：
The first tradable commodity price that receiving terminal apparatus send.
According to the first tradable commodity price in trading order form data match trading commodity price, determine the second matching tie
Really.
Corresponding second commodity amount of first tradable commodity price is determined according to the second matching result.
Statistical result data are generated according to the first tradable commodity price and the second tradable commodity quantity.
For example, when the statistics instruction of reception is to carry out conditional filtering to tradable commodity price, then server receiving terminal sets
The first tradable commodity price that preparation is sent, by the first tradable commodity price and the first tradable commodity valency in trading order form data
Lattice are matched, and the quantity of the corresponding All Activity commodity of the tradable commodity price is counted after the match is successful.
Alternatively, tradable commodity quantity in trading order form data is counted according to statistics instruction, determines statistical result
Data can specifically include：
The first tradable commodity name data that receiving terminal apparatus send.
According to the first tradable commodity name data in trading order form data match trading trade name data, determine the 3rd
Matching result.
Corresponding 3rd commodity amount of first tradable commodity name data is determined according to the 3rd matching result.
Statistical result data are generated according to the first tradable commodity name data and the 3rd tradable commodity quantity.
For example, when the statistics instruction of reception is to carry out conditional filtering to tradable commodity name data, then server is received eventually
The first tradable commodity name data that end equipment sends.By the first tradable commodity name data and the friendship in trading order form data
Easily trade name data are matched, and the number of the corresponding All Activity commodity of the tradable commodity name data is counted after the match is successful
Amount.
Alternatively, tradable commodity quantity in trading order form data is counted according to statistics instruction, determines statistical result
Data can specifically include：
The first user information data that receiving terminal apparatus send.
User profile data are matched in trading order form data according to first user information data, the 4th matching knot is determined
Really.
Corresponding 4th commodity amount of first user information data is determined according to the 4th matching result.
Statistical result data are generated according to first user information data and the 4th tradable commodity quantity.
For example, when the statistics instruction of reception is to carry out conditional filtering to user profile data, then server receiving terminal sets
The first user information data that preparation is sent.First user information data is entered with the user profile data in trading order form data
Row matching, counts the quantity of the corresponding All Activity commodity of the user profile data after the match is successful.
Again for example, user profile data can include age of user data, the affiliated industry data of user, the affiliated address of user
Data and user's gender data, the statistics instruction of reception can be specified age of user data, the affiliated industry data of user, user
One or more in affiliated address date and user's gender data are counted to tradable commodity quantity in trading order form data,
To determine statistical result data.
Screening conditions when the statistics instruction for receiving is to be screened according to multinomial conditional combination, in above-mentioned each screening step
Can be in any combination.For example, when statistician needs to count Sales Volume of Commodity in all directions, year that can respectively according to user
Age and industry statistic go out the data of the consumption of different age group and different industries, so as to analyze different age group and
Impact of the different industries to the consuming capacity, for example, the colony between 20-30 year belongs to the main purchase group of shopping at network platform
Body, user can continue to obtain the merchandise classification of this age bracket consumption (such as electronic product according to trade name and commodity price
Or articles for daily use etc.) and valuables (precious metal, household electrical appliances furniture or electronic digital etc.) Sales Volume of Commodity data, so as to point
The age distribution of analysis purchasing group and industry distribution, analyze the purchase feature and purchasing power of different industries.For example, according to trade name
Claim and user's sex obtains tradable commodity quantity, others tends to buy which kind of commodity respectively to analyze dissimilarity, such as makes up
In the sales volume of product 85% is bought for women.For example, tradable commodity quantity is obtained according to trade name and exchange hour, can be obtained
Sales volume to the Various Seasonal commodity is discounted cartogram, with the clear and intuitive display commodity Various Seasonal, promotion, price reduction,
The impact that current hot item or advertisement are caused to sales volume.
In step 150, by statistical result data is activation to terminal unit, statistical result number is shown by terminal unit
According to.
Alternatively, show that statistical result data can be specially by terminal unit：
By terminal unit, statistical result data are processed, generate statistical result data to be shown.
According to statistical result data to be shown terminal unit user interface generate form, block diagram, broken line graph and/or
Sequential chart, is shown.
For example, statistical result data can be processed by terminal unit, generates statistical result data to be shown.Treat
Show statistical result data can according to user need the user interface in terminal unit generate form, block diagram, broken line graph and/
Or sequential chart, with sales situations directly perceived, accurately representing employee, such that it is able to analyze the working condition of employee, to manage
Personnel are preferably managed, and adjust business decision in good time.Also, statistician can according to self-demand select with data,
The modes such as form, block diagram, broken line graph and sequential chart export statistical result data.
Sales Volume of Commodity statistical method provided in an embodiment of the present invention, by recording trading order form data, and according to user's
Instruction carries out carrying out trading order form data statistical analysiss, and analysis efficiency is high, analytical effect is accurate, by analyzing commodity transaction feelings
Condition, statistical result data can intuitively represent trading situation, such that it is able to help user in real time commodity are adjusted with
Reasonable distribution, preferably plans merchandise sales scheme to improve sales volume
Professional should further appreciate that, with reference to each example of the embodiments described herein description
Unit and algorithm steps, can with electronic hardware, computer software or the two be implemented in combination in, it is hard in order to clearly demonstrate
The interchangeability of part and software, generally describes the composition and step of each example in the above description according to function.
These functions actually with hardware or software mode performing, depending on the application-specific and design constraint of technical scheme.
Professional and technical personnel can use different methods to realize to each specific application described function, but this realization
It is not considered that beyond the scope of this invention.
Hardware, computing device can be used with reference to the method for the embodiments described herein description or the step of algorithm
Software module, or the combination of the two is implementing.Software module can be placed in random access memory (RAM), internal memory, read only memory
(ROM), electrically programmable ROM, electrically erasable ROM, depositor, hard disk, moveable magnetic disc, CD-ROM or technical field
In any other form of storage medium well known to interior.
Specific embodiment above, has been carried out to the purpose of the present invention, technical scheme and beneficial effect further in detail
Illustrate, the be should be understood that specific embodiment that these are only the present invention, the protection model being not intended to limit the present invention
Enclose, all any modification, equivalent substitution and improvements within the spirit and principles in the present invention, done etc. should be included in the present invention
Protection domain within.
Claims (9)
1. a kind of Sales Volume of Commodity statistical method, it is characterised in that methods described includes：
Server receives trading order form information, wherein, the trading order form information includes trading order form data；
According to the trading order form data, tradable commodity name data, tradable commodity quantity, exchange hour data, transaction are determined
Commodity price and user profile data；
The statistics instruction that receiving terminal apparatus send, wherein, the statistics instruction includes the tradable commodity name data, described
One or more in exchange hour data, the tradable commodity price and the user profile data；
Tradable commodity quantity in the trading order form data is counted according to the statistics instruction, determine statistical result number
According to；
By the statistical result data is activation to terminal unit, the statistical result data are shown by the terminal unit.
2. method according to claim 1, it is characterised in that it is described according to the statistics instruction to the trading order form number
Counted according to middle tradable commodity quantity, determined that statistical result data are specifically included：
The exchange hour statistics block information that receiving terminal apparatus send, wherein, statistics interval packet includes initial transaction
Time data and termination exchange hour data；
Block information is counted according to the exchange hour exchange hour data are matched in the trading order form data, it is determined that
First matching result；
The corresponding first tradable commodity quantity of the exchange hour data is determined according to first matching result；
Block information is counted according to the exchange hour and the first tradable commodity quantity generates the statistical result data.
3. method according to claim 1, it is characterised in that it is described according to the statistics instruction to the trading order form number
Counted according to middle tradable commodity quantity, determined that statistical result data are specifically included：
The first tradable commodity price that receiving terminal apparatus send；
The tradable commodity price is matched in the trading order form data according to the first tradable commodity price, second is determined
Matching result；
Corresponding second commodity amount of the first tradable commodity price is determined according to second matching result；
The statistical result data are generated according to the first tradable commodity price and the second tradable commodity quantity.
4. method according to claim 1, it is characterised in that it is described according to the statistics instruction to the trading order form number
Counted according to middle tradable commodity quantity, determined that statistical result data are specifically included：
The first tradable commodity name data that receiving terminal apparatus send；
The tradable commodity name data is matched in the trading order form data according to the first tradable commodity name data,
Determine the 3rd matching result；
Corresponding 3rd commodity amount of the first tradable commodity name data is determined according to the 3rd matching result；
The statistical result data are generated according to the first tradable commodity name data and the 3rd tradable commodity quantity.
5. method according to claim 1, it is characterised in that it is described according to the statistics instruction to the trading order form number
Counted according to middle tradable commodity quantity, determined that statistical result data are specifically included：
The first user information data that receiving terminal apparatus send；
The user profile data are matched in the trading order form data according to the first user information data, the 4th is determined
Matching result；
Corresponding 4th commodity amount of the first user information data is determined according to the 4th matching result；
The statistical result data are generated according to the first user information data and the 4th tradable commodity quantity.
6. method according to claim 5, it is characterised in that the user profile data include：Age of user data, use
The affiliated industry data in family, the affiliated address date of user and user's gender data.
7. method according to claim 6, it is characterised in that it is described according to the statistics instruction to the trading order form number
Counted according to middle tradable commodity quantity, determined that statistical result data include：
According to the age of user data, the affiliated industry data of the user, the affiliated address date of the user and the user
One or more in gender data are counted to tradable commodity quantity in the trading order form data, determine statistical result number
According to.
8. method according to claim 1, it is characterised in that the server receives trading order form information and is specially：
The attribute-bit information of identification order；
When the attribute-bit information of the order is transaction ID information, determine that the order is trading order form；
Obtain the sequence information of the trading order form.
9. method according to claim 1, it is characterised in that the statistical result data are shown by the terminal unit
Specially：
By the terminal unit, the statistical result data are processed, generate statistical result data to be shown；
According to the statistical result data to be shown terminal unit user interface generate form, block diagram, broken line graph and/or
Sequential chart, is shown.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611242941.1A CN106600341A (en) | 2016-12-29 | 2016-12-29 | Commodity sales volume statistical method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611242941.1A CN106600341A (en) | 2016-12-29 | 2016-12-29 | Commodity sales volume statistical method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106600341A true CN106600341A (en) | 2017-04-26 |
Family
ID=58604745
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611242941.1A Pending CN106600341A (en) | 2016-12-29 | 2016-12-29 | Commodity sales volume statistical method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106600341A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107169866A (en) * | 2017-06-14 | 2017-09-15 | 上海找钢网信息科技股份有限公司 | A kind of steel trade industry pricing information line chart/candlestick chart display systems and method |
| CN107977858A (en) * | 2017-11-14 | 2018-05-01 | 深圳市思迅软件股份有限公司 | Sales data statistical method, device, server and readable storage medium storing program for executing |
| CN107993096A (en) * | 2017-12-18 | 2018-05-04 | 桐城市绿峰电子商务有限公司 | A kind of transaction processing system based on big data |
| CN109493167A (en) * | 2018-10-23 | 2019-03-19 | 广州致轩服饰有限公司 | A kind of commodity feedback method and device based on third-party platform data |
| CN110335410A (en) * | 2019-04-03 | 2019-10-15 | 深圳壹账通智能科技有限公司 | Vending machine replenishing method, apparatus and computer equipment based on big data |
| CN112650935A (en) * | 2021-01-25 | 2021-04-13 | 梁志彬 | Intelligent information processing method applied to e-commerce cloud service environment and cloud server |
| CN112734478A (en) * | 2021-01-13 | 2021-04-30 | 上海群之脉信息科技有限公司 | Intelligent system for processing flow data |
| CN112749896A (en) * | 2021-01-13 | 2021-05-04 | 上海群之脉信息科技有限公司 | Intelligent data processing system for transaction clients |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103886497A (en) * | 2013-09-29 | 2014-06-25 | 上海本家空调系统有限公司 | Method and system for generating transaction data in online transaction |
| CN105931066A (en) * | 2015-09-24 | 2016-09-07 | 中国银联股份有限公司 | Transaction data processing method and device |
| CN106202081A (en) * | 2015-04-30 | 2016-12-07 | 阿里巴巴集团控股有限公司 | Real-time data processing method and device |
| CN106484791A (en) * | 2016-09-21 | 2017-03-08 | 中国银联股份有限公司 | A kind of data statistical approach and device |
-
2016
- 2016-12-29 CN CN201611242941.1A patent/CN106600341A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103886497A (en) * | 2013-09-29 | 2014-06-25 | 上海本家空调系统有限公司 | Method and system for generating transaction data in online transaction |
| CN106202081A (en) * | 2015-04-30 | 2016-12-07 | 阿里巴巴集团控股有限公司 | Real-time data processing method and device |
| CN105931066A (en) * | 2015-09-24 | 2016-09-07 | 中国银联股份有限公司 | Transaction data processing method and device |
| CN106484791A (en) * | 2016-09-21 | 2017-03-08 | 中国银联股份有限公司 | A kind of data statistical approach and device |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107169866A (en) * | 2017-06-14 | 2017-09-15 | 上海找钢网信息科技股份有限公司 | A kind of steel trade industry pricing information line chart/candlestick chart display systems and method |
| CN107169866B (en) * | 2017-06-14 | 2021-06-29 | 上海找钢网信息科技股份有限公司 | Steel trade industry price information line graph/candle graph display system and method |
| CN107977858A (en) * | 2017-11-14 | 2018-05-01 | 深圳市思迅软件股份有限公司 | Sales data statistical method, device, server and readable storage medium storing program for executing |
| CN107993096A (en) * | 2017-12-18 | 2018-05-04 | 桐城市绿峰电子商务有限公司 | A kind of transaction processing system based on big data |
| CN109493167A (en) * | 2018-10-23 | 2019-03-19 | 广州致轩服饰有限公司 | A kind of commodity feedback method and device based on third-party platform data |
| CN109493167B (en) * | 2018-10-23 | 2020-11-20 | 广州致轩服饰有限公司 | Commodity feedback method and device based on third-party platform data |
| CN110335410A (en) * | 2019-04-03 | 2019-10-15 | 深圳壹账通智能科技有限公司 | Vending machine replenishing method, apparatus and computer equipment based on big data |
| CN110335410B (en) * | 2019-04-03 | 2022-03-29 | 深圳壹账通智能科技有限公司 | Vending machine replenishment method and device based on big data and computer equipment |
| CN112734478A (en) * | 2021-01-13 | 2021-04-30 | 上海群之脉信息科技有限公司 | Intelligent system for processing flow data |
| CN112749896A (en) * | 2021-01-13 | 2021-05-04 | 上海群之脉信息科技有限公司 | Intelligent data processing system for transaction clients |
| CN112650935A (en) * | 2021-01-25 | 2021-04-13 | 梁志彬 | Intelligent information processing method applied to e-commerce cloud service environment and cloud server |
| CN112650935B (en) * | 2021-01-25 | 2021-12-24 | 农夫铺子发展集团有限公司 | Intelligent information processing method applied to e-commerce cloud service environment and cloud server |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106600341A (en) | Commodity sales volume statistical method | |
| US10510078B2 (en) | Anomaly detection in groups of transactions | |
| CN107590675B (en) | User shopping behavior identification method based on big data, storage device and mobile terminal | |
| CN103716351B (en) | Information display method and server | |
| CN102063689A (en) | Analyzing patterns within transaction data | |
| CN109460421A (en) | Trade company's transaction data management method and device | |
| CN109685540A (en) | Electric business platform and its commercial promotions control method, equipment, readable storage medium storing program for executing | |
| CN108628866A (en) | The method and apparatus of data fusion | |
| CN102629354A (en) | System and method for automatically accounting consumption data (records) of consumer | |
| Huang | Economic ordering model for deteriorating items with random demand and deterioration | |
| CN111080340A (en) | System, method and related device for pushing marketing management message of financial product | |
| CN111538733A (en) | Multidimensional data comprehensive analysis system and analysis method thereof | |
| CN113239319A (en) | Method for automatically matching and pushing supplier to bid and quote | |
| CN113837617A (en) | Anti-bill-swiping risk management method and device | |
| Seethamraju et al. | Digitalization of small retail Stores-Challenges in digital payments | |
| CN108629467B (en) | Sample information processing method and system | |
| CN115345662A (en) | Live broadcast e-commerce data processing system based on block chain and big data | |
| CN113935785A (en) | Shopping rebate platform | |
| CN111597237B (en) | Method and device for generating data query result, electronic equipment and storage medium | |
| JP6143930B1 (en) | Marketing support method, program, computer storage medium, and marketing support system | |
| CN113298550A (en) | Commodity price adjusting method and device and server | |
| CN110390555A (en) | A kind of multi-platform integration internet mall system and distribution method | |
| CN107239988A (en) | System is presented in commodity data | |
| Wang et al. | Visual Analysis of E‐Commerce User Behavior Based on Log Mining | |
| US10540682B1 (en) | Systems and methods for determining impact of high-affinity baskets |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170426 |