CN112365321A - Method for realizing effective supervision and identification of fresh electronic commerce platform multi-merchant commodities - Google Patents
Method for realizing effective supervision and identification of fresh electronic commerce platform multi-merchant commodities Download PDFInfo
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Abstract
The invention discloses a method for realizing effective supervision and identification of fresh electronic commerce platform multi-merchant commodities, which comprises the following supervision and identification steps: s1, firstly, inputting data into a platform, establishing a commodity base for a merchant to select, S2, selecting needed commodities by the merchant through the commodity base, binding the needed commodities to the merchant, S3, adjusting the prices of the commodities by the merchant through the store, adding stock, and S4, selling fresh commodities by the merchant through the store.
Description
Technical Field
The invention relates to the technical field of E-commerce commodity supervision, in particular to a method for realizing effective supervision and identification of fresh E-commerce platform multi-merchant commodities.
Background
Electronic commerce, called e-commerce for short, refers to transaction activities and related service activities performed in an electronic transaction mode on the internet, intranet and value-added network, so that each link of the traditional business activities is electronized and networked, the electronic commerce comprises electronic money exchange, supply chain management, electronic transaction market, network marketing, online transaction processing, electronic data exchange, inventory management and an automatic data collection system, and in the process, the utilized information technology comprises the following steps: internet, extranet, email, database, electronic directory and mobile phone.
However, most of the current fresh E-commerce platforms are that merchants maintain commodity data by themselves, and commodity classification, commodity description and commodity price are completely defined by the merchants, so that for the merchants, although flexibility is good, data needs to be maintained from beginning to end, maintenance workload is large, for the platforms, although many merchants sell the same commodities, the same commodities cannot be effectively identified due to non-uniform commodity data, and data supervision and price monitoring cannot be fundamentally solved.
Disclosure of Invention
The invention provides a method for realizing effective supervision and identification of commodities of multiple merchants of a fresh and fresh E-commerce platform, which can effectively solve the problems that most of the existing fresh and fresh E-commerce platforms are self-maintained by merchants, commodity classification, commodity description and commodity price are completely customized by the merchants, the data needs to be maintained from scratch and maintenance workload is large for the merchants although the flexibility is good, and the data cannot be effectively identified due to non-uniform commodity data and cannot be fundamentally solved for data supervision and price monitoring although a plurality of merchants sell the same commodities for the platforms.
In order to achieve the purpose, the invention provides the following technical scheme: a method for realizing effective supervision and identification of fresh food e-commerce platform multi-merchant commodities comprises the following supervision and identification steps:
s1, firstly, inputting data into a platform, and establishing a commodity basic library for merchants to select;
s2, selecting the needed goods by the merchant through the goods basic library, and binding the goods to the shop of the merchant;
s3, the merchant adjusts the price of the commodity through the shop and adds the stock;
s4, selling the fresh commodity by the merchant through the shop;
s5, monitoring and calculating the price and sales volume of the commodities sold by the merchant by the platform;
s6, recording the price and sales volume of the commodity in a commodity basic library for the user to look up;
s7, analyzing the price and sales volume of the commodity through big data and giving reasonable suggestions;
according to the above technical solution, in S1, the data input includes a scan input and a manual input;
the method comprises the steps of scanning income, shooting food pictures through a camera, identifying names of commodities, numbering according to an input sequence, manually inputting the names of the commodities, numbering the commodities, searching the commodity pictures through a network, and adding the commodity pictures to a commodity basic library;
the data in the commodity base library comprises commodity pictures, commodity numbers, commodity prices and commodity sales volumes;
the prices of the goods include a current price, an average annual price, and an average monthly price.
According to the technical scheme, in the step S2, the merchant selects the corresponding commodity from the commodity basic library according to the own commodity and adds the corresponding commodity into the shop;
by adding commodities, the platform supervises the sales volume and price of the commodities of the merchant and feeds back the sales data of the merchant in real time.
According to the above technical solution, in S3, after adding the commodity from the commodity base, the merchant adjusts the price of the commodity according to the actual advance price and the sales condition of the commodity, and adds the stock amount in the sales interface.
According to the technical scheme, in the S4, the merchant sells the commodity on line through the selling platform, and the selling time and the buyer address are recorded;
the merchant analyzes and calculates the selling time and the buyer address through the platform to obtain the best selling time and distance and the worst selling time and distance, and helps the merchant to select the best time and the best range to carry out shop propaganda and discount and promote sale at the time of poor sale.
According to the technical scheme, in the S5, the platform monitors and calculates the commodity prices and commodity sales volumes of a plurality of merchants;
calculating the arithmetic mean of the prices of the commodities according to price data of the same commodities at the same time to obtain the selling prices of the commodities at the time, and drawing the prices of the commodities at a plurality of times into a curve graph, wherein the abscissa of the curve graph is the time and the ordinate is the price;
and solving the arithmetic mean of the commodity sales according to the sales data of the same commodity in the same time period, wherein the time length of the time period is 1-2h, obtaining the commodity sales of the time period, and drawing a graph of the commodity sales of a plurality of time periods, wherein the abscissa of the graph is the time period and the ordinate is the sales.
According to the technical scheme, the drawn price curve graph and the drawn sales curve graph are drawn in real time according to the time period, and the curves are summarized and compared and analyzed every 7-15 days.
According to the technical scheme, in the step S6, the platform acquires the sales price and sales volume data of the merchant, calculates the average price and average sales volume of the whole year, and displays the commodity interface in the commodity base.
According to the above technical solution, the platform calculates the average number of sales prices and average number of sales per month, displays data in the commodity base, marks up arrows for data above the annual average value and marks down arrows for data below the annual average value among the average number of prices and average number of sales per month, wherein the current price is displayed before the annual average price and the monthly average price is displayed after the annual average price.
According to the technical scheme, in the step S7, the fresh electric commerce platform is combined with market supply and demand data of the Internet, causes of price rise and price fall are analyzed, future price trends are predicted according to current market conditions, and suggested prices of commodities are given in a commodity base.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the commodity base is established through the platform, a preliminary standard is established for fresh food, the difficult problem of fresh food standardization is solved, a merchant only needs to select the commodity sold from the commodity base to bind to a shop, and self-defined parameters related to sales can be set, so that the data maintenance workload is small for the merchant, and the selling conditions of the same commodity in different shops can be effectively monitored and controlled for the platform;
through statistics of sales volume data and sales range data of a single merchant, the merchant can conveniently master the sales volume condition of the merchant, help to find out a time period of a sales explosion, a time period of a tragic time and an optimal sales distance, discount and promote in the time period of the tragic time, find out the optimal on-line sales distance according to the buyer distance, and facilitate the merchant to publicize in the area and increase the sales volume of stores;
through tracking and recording sales data of different shops, annual sales and monthly sales data can be calculated, the data are displayed on a commodity display interface corresponding to a commodity basic library, reasons higher than the average number and reasons lower than the average number are analyzed, and accordingly, a merchant can conveniently perform price prediction, stock adjustment and price adjustment according to the price average number and the price fluctuation condition, the ordered sales is guaranteed, and the condition that a large amount of stocks are accumulated or the stocks are insufficient is avoided.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
In the drawings:
FIG. 1 is a flow chart of the supervisory identification method steps of the present invention;
FIG. 2 is a display diagram of the products in the product base library of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example (b): as shown in fig. 1-2, the present invention provides a technical solution, a method for realizing effective supervision and identification of fresh goods and multi-merchant commodities on an e-commerce platform, comprising the following supervision and identification steps:
s1, firstly, inputting data into a platform, and establishing a commodity basic library for merchants to select;
s2, the merchant selects the needed goods through the goods basic library to establish the shop;
s3, the merchant adjusts the price of the commodity through the shop and adds the stock;
s4, selling the fresh commodity by the merchant through the shop;
s5, monitoring and calculating the price and sales volume of the commodities sold by the merchant by the platform;
s6, recording the price and sales volume of the commodity in a commodity basic library for the user to look up;
s7, analyzing the price and sales volume of the commodity through big data and giving reasonable suggestions;
according to the technical scheme, in the step S1, the data input comprises scanning input and manual input;
the method comprises the steps of scanning income, shooting food pictures through a camera, identifying names of commodities, numbering according to an input sequence, manually inputting the names of the commodities, numbering the commodities, searching the commodity pictures through a network, and adding the commodity pictures to a commodity basic library;
the data in the commodity base library comprises commodity pictures, commodity numbers, commodity prices and commodity sales volumes;
the commodity consists of basic information and specification information, one commodity can establish a plurality of commodity specifications according to different sales packaging units, and the specifications are the minimum units of commodity sales;
the data of the commodity basic library is mainly maintained manually, but in order to improve the data editing efficiency, a data acquisition terminal is developed, bar code information of a pre-packaged commodity is scanned through a handheld PDA, an identified bar code is transmitted to a server, the server can call a commodity interface of a third party according to the bar code, and the acquired data can be brought into the commodity basic library only after being manually edited and checked.
Further, according to the commodity classification, the platform maintains the three-level sales categories. (ii) a
Furthermore, the platform binds the commodity category for sale to the shop according to the operation license of the platform when the shop of the platform is accessed.
The price of commodity includes current price, average price per year and average price per month, establishes the commodity foundation storehouse through the platform, establishes preliminary standard to giving birth to the bright, has solved the standardized difficult problem of giving birth to the bright, and the trade company only need select its commodity of selling to bind to the shop from the commodity foundation storehouse, can set for by oneself and sell relevant self-defined parameter, and to the trade company, data maintenance work load is little, and to the platform, the condition that the same commodity was sold in different shops can all accomplish effective supervision.
According to the technical scheme, in S2, a merchant selects corresponding commodities from a commodity base according to own commodities and adds the corresponding commodities to the store;
by adding commodities, the platform supervises the sales volume and price of the commodities of the merchant and feeds back the sales data of the merchant in real time.
According to the above technical solution, in S3, after adding commodities from the commodity base, the merchant adjusts the prices of the commodities according to the actual advance prices and sales conditions of the commodities, and adds the stock amount in the sales interface.
According to the technical scheme, in S4, a merchant sells the commodity on line through a selling platform, and the selling time and the address of the buyer are recorded;
the merchant analyzes and calculates the selling time and the buyer address through the platform to obtain the best selling time and the best selling distance, the worst selling time and the worst selling distance are obtained, the merchant is helped to select the best selling time and the best selling range to carry out shop propaganda, discount sales promotion is carried out at the time of poor sales, the sales data and the sales range data of a single merchant are counted, the merchant can conveniently master the sales condition of the merchant, the time period of sales explosion, the time period of tragic time and the best sales distance are helped to find out, discount sales promotion is carried out at the time period of tragic time, the best on-line sales distance is found out according to the buyer distance, the merchant can conveniently carry out propaganda in the area, and the shop sales is increased.
According to the technical scheme, in S5, the platform monitors and calculates commodity prices and commodity sales volumes of a plurality of merchants;
calculating the arithmetic mean of the prices of the commodities according to price data of the same commodities at the same time to obtain the selling prices of the commodities at the time, and drawing the prices of the commodities at a plurality of times into a curve graph, wherein the abscissa of the curve graph is the time and the ordinate is the price;
wherein, the average price processing logic:
1) the method comprises the following steps of collecting the average commodity price of a store (from 8 am to 10 pm every day, and collected once every 1 hour), collecting the effective order trading price of the store on the same day, taking the average price, if no effective trading data exists, taking the market price of the commodity, and collecting the average commodity price of the store on the previous day again every morning;
2) average price of platform commodity trade: and inquiring the average price of the commodity with transaction data in all shops in the last two days, and then, taking the average price, and enabling a merchant to bind the commodity from an authorized basic library to the shop for selling.
And (3) solving the arithmetic mean of the commodity sales according to the sales data of the same commodity in the same time period, wherein the time length of the time period is 1h, obtaining the commodity sales of the time period, and drawing a graph of the commodity sales of a plurality of time periods, wherein the abscissa of the graph is the time period, and the ordinate is the sales.
According to the technical scheme, the drawn price curve graph and the drawn sales curve graph are drawn in real time according to the time period, the curves are collected every 7 days for comparative analysis, the price and sales conditions are more conveniently known by drawing the price curve graph and the sales curve graph, the curve graphs are collected regularly, data are conveniently compared, and data analysis is more detailed.
According to the technical scheme, in S6, the platform acquires the sales price and sales volume data of the merchant, calculates the average price and average sales volume of the whole year, and displays the commodity interface in the commodity base.
According to the above technical solution, the platform calculates the average number of sales prices and average number of sales per month, displays data in the commodity base, marks up arrows for data above the annual average value among the average number of prices and average number of sales per month, and marks down arrows for data below the annual average value, wherein the current price is displayed before the annual average price and the monthly average price is displayed after the annual average price.
According to the technical scheme, in S7, the fresh electric commerce platform is combined with market supply and demand data of the Internet to analyze reasons of price rise and price fall, the future price trend is predicted according to the current market situation, the suggested price of the commodity is given in the commodity base, annual sales and monthly sales data can be calculated through tracking and recording of sales data of different shops, the data are displayed on a commodity display interface corresponding to the commodity base, the reasons higher than the average number and lower than the average number are analyzed, the price prediction, inventory adjustment and price adjustment can be conveniently carried out by a merchant according to the average number of prices and the fluctuation condition of prices, the ordered sales is guaranteed, and the condition of large amount of inventory accumulation or insufficient inventory is avoided.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for realizing effective supervision and identification of fresh electronic commerce platform multi-merchant commodities is characterized by comprising the following steps: the method comprises the following supervision and identification steps:
s1, firstly, inputting data into a platform, and establishing a commodity basic library for merchants to select;
s2, the merchant selects the needed goods through the goods basic library to establish the shop;
s3, the merchant adjusts the price of the commodity through the shop and adds the stock;
s4, selling the fresh commodity by the merchant through the shop;
s5, monitoring and calculating the price and sales volume of the commodities sold by the merchant by the platform;
s6, recording the price and sales volume of the commodity in a commodity basic library for the user to look up;
and S7, analyzing the price and sales volume of the commodity through big data and giving reasonable suggestions.
2. The method for realizing effective supervision and identification of fresh e-commerce platform multi-merchant commodities according to claim 1, wherein in S1, the input of data includes scanning input and manual input;
the method comprises the steps of scanning income, shooting food pictures through a camera, identifying names of commodities, numbering according to an input sequence, manually inputting the names of the commodities, numbering the commodities, searching the commodity pictures through a network, and adding the commodity pictures to a commodity basic library;
the data in the commodity base library comprises commodity pictures, commodity numbers, commodity prices and commodity sales volumes;
the prices of the goods include a current price, an average annual price, and an average monthly price.
3. The method for realizing the effective supervision and identification of the fresh electronic commerce platform multi-merchant commodities as claimed in claim 1, wherein in S2, the merchant selects the corresponding commodity from the commodity base to add to the store according to the own commodity;
by adding commodities, the platform supervises the sales volume and price of the commodities of the merchant and feeds back the sales data of the merchant in real time.
4. The method as claimed in claim 1, wherein in S3, after adding commodities from the commodity base, the merchant adjusts the prices of the commodities according to the actual prices and sales conditions of the commodities, and adds the stock in the sales interface.
5. The method for realizing the effective supervision and identification of the fresh electronic commerce platform multi-merchant commodity according to claim 1, wherein in S4, the merchant sells the commodity on line through the selling platform, and records selling time and buyer address;
the merchant analyzes and calculates the selling time and the buyer address through the platform to obtain the best selling time and distance and the worst selling time and distance, and helps the merchant to select the best time and the best range to carry out shop propaganda and discount and promote sale at the time of poor sale.
6. The method for realizing the effective supervision and identification of the fresh electric commerce platform multi-merchant commodities as claimed in claim 1, wherein in S5, the platform monitors and calculates commodity prices and commodity sales volumes of a plurality of merchants;
calculating the arithmetic mean of the prices of the commodities according to price data of the same commodities at the same time to obtain the selling prices of the commodities at the time, and drawing the prices of the commodities at a plurality of times into a curve graph, wherein the abscissa of the curve graph is the time and the ordinate is the price;
and solving the arithmetic mean of the commodity sales according to the sales data of the same commodity in the same time period, wherein the time length of the time period is 1-2h, obtaining the commodity sales of the time period, and drawing a graph of the commodity sales of a plurality of time periods, wherein the abscissa of the graph is the time period and the ordinate is the sales.
7. The method for realizing the effective supervision and identification of the commodities of the fresh electronic commerce platform and the multiple merchants as claimed in claim 6, wherein the plotted price graph and the sales graph are plotted in real time according to time periods, and the graphs are summarized and compared and analyzed every 7-15 days.
8. The method for realizing the effective supervision and identification of the fresh electric commerce platform multi-merchant commodities as claimed in claim 1, wherein in S6, the platform obtains the selling price and sales volume data of the merchant, calculates the average price and average sales volume of the whole year, and displays the commodity interface in the commodity base library.
9. The method of claim 8, wherein the platform calculates average sales price and average sales volume per month, displays data in the product base, marks up arrow on average price and average sales volume per month, marks down arrow on average price and average sales volume per month, and marks down arrow on average price and average sales volume per month, wherein current price is displayed before average annual price and average monthly price is displayed after average annual price.
10. The method for realizing the effective supervision and identification of the fresh electric commerce platform multi-merchant commodities as claimed in claim 1, wherein in the step S7, the fresh electric commerce platform combines market supply and demand data of internet, analyzes the reasons of price rise and fall, predicts the future price trend according to the current market conditions, and gives the suggested price of the commodity in the commodity base.
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| CN202011321736.0A CN112365321A (en) | 2020-11-23 | 2020-11-23 | Method for realizing effective supervision and identification of fresh electronic commerce platform multi-merchant commodities |
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| CN202011321736.0A CN112365321A (en) | 2020-11-23 | 2020-11-23 | Method for realizing effective supervision and identification of fresh electronic commerce platform multi-merchant commodities |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112785394A (en) * | 2021-02-19 | 2021-05-11 | 山东新贵科技股份有限公司 | Automatic fresh beverage selling system |
| CN116029797A (en) * | 2023-02-28 | 2023-04-28 | 畅捷通信息技术股份有限公司 | Sale management method, device, equipment and medium for retail commodity of electronic commerce |
-
2020
- 2020-11-23 CN CN202011321736.0A patent/CN112365321A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112785394A (en) * | 2021-02-19 | 2021-05-11 | 山东新贵科技股份有限公司 | Automatic fresh beverage selling system |
| CN116029797A (en) * | 2023-02-28 | 2023-04-28 | 畅捷通信息技术股份有限公司 | Sale management method, device, equipment and medium for retail commodity of electronic commerce |
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Application publication date: 20210212 |