CN111192068A - Method for realizing intelligent shop purchasing based on Internet platform - Google Patents
Method for realizing intelligent shop purchasing based on Internet platform Download PDFInfo
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- CN111192068A CN111192068A CN201811353366.1A CN201811353366A CN111192068A CN 111192068 A CN111192068 A CN 111192068A CN 201811353366 A CN201811353366 A CN 201811353366A CN 111192068 A CN111192068 A CN 111192068A
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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
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
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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
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
Abstract
The invention relates to the field of Internet retail industry, in particular to a method for realizing intelligent purchasing of stores based on an Internet platform. The method comprises the following steps: 1. recording the daily sales records of all varieties in detail; 2. counting the daily, weekly and monthly sales rates of all varieties regularly every day and sequencing; 3. predicting the number of sellable days in the current stock according to the selling rate of the variety; 4. sending out inventory early warning to varieties with the inventory supporting time less than three days and automatically generating a purchase planning sheet; 5. the shop assistant confirms the purchase planning list and makes a purchase request. The invention solves the problems that the existing store can not predict the sales rate of the operating variety and can not accurately replenish goods in time, and can be widely applied to the Internet retail industry.
Description
Technical Field
The invention relates to the field of Internet retail industry, in particular to a method for realizing intelligent purchasing of stores based on an Internet platform.
Background
Artificial Intelligence (Artificial Intelligence), abbreviated in english as AI. The method is a new technical science for researching and developing theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.
The intelligent purchase of stores is realized by taking big data analysis as a means and automatically generating a purchase planning sheet by analyzing all historical sales data.
In general, in a shop purchasing mode, a purchasing plan is made only when the shortage or shortage of the operated variety is found during sales, and the whole purchasing process also needs time, so that the operated variety is not sold due to no goods, and the purchasing quantity can be confirmed only according to experience without exact basis, so that the stock cannot be accurately purchased. The invention automatically generates the purchase planning sheet by carrying out statistical analysis on the daily, weekly and monthly sales rate of all varieties, predicting the current stock saleable days according to the sales rate, and confirming the purchase quantity according to the sales rate and the store needs (such as one week or one month for sale). The problem of current store can't predict the sales rate of managing the variety to and can't in time accurate replenishment is solved.
Disclosure of Invention
The invention solves the technical problem of providing a method for realizing intelligent shop purchasing based on an Internet platform; the problem of current store can't predict the sales rate of operating the variety to and can't in time accurate replenishment is solved.
The technical scheme for solving the technical problems is as follows:
the method comprises the following steps:
step one, recording the daily sales records of all varieties in detail;
step two, regularly counting the daily, weekly and monthly sales rates of all varieties every day and sequencing;
predicting the number of sellable days in the current stock according to the selling rate of the variety;
fourthly, sending out inventory early warning to the variety with the inventory support time less than three days and automatically generating a purchase planning sheet;
and step five, confirming the purchasing plan list by the shop assistant and requesting for purchasing.
The method for realizing intelligent purchase of the store based on the Internet platform comprises the step of recording sales records of all varieties of the store in detail every day in a step one, wherein the sales records comprise sales order numbers, sales time, variety and goods numbers, names, specifications, units, sales prices, sales quantities, money amounts, batch numbers, production dates, validity periods, manufacturers, approved literature numbers and the like.
In the second step, the system regularly counts the daily, weekly and monthly sales rate of all varieties every day in a timing task mode, and the method for counting the daily, weekly and monthly sales rate comprises the following steps:
(1) the daily sales rate takes the last seven days or fifteen days as a statistical unit, the total sales quantity of each variety in the statistical unit is calculated, and the total sales quantity is divided by the days in the statistical unit, namely the average daily sales quantity of each variety;
(2) the weekly sales rate takes the last month or three months and three months as a statistical unit, the total sales number of each variety in the statistical unit is calculated, and the total sales number is divided by the total weeks in the statistical unit, namely the average weekly sales number of each variety;
(3) and (4) calculating the total sales quantity of each variety in a statistical unit by taking the last half year or one year as the statistical unit, and dividing the total sales quantity by the total number of months in the statistical unit to obtain the average monthly sales quantity of each variety.
The sales rates of all varieties in the daily, weekly and monthly periods are arranged in a descending order, so that the sales rates of all varieties can be seen by the responsible person of the store.
In the third step, the number of the marketable days of the variety is calculated according to the daily selling rate of all the varieties calculated in the second step and the current inventory of the varieties, and the calculation method comprises the following steps: the number of marketable days = current total stock of the breed/rate of daily sale of the breed.
The system automatically calculates the number of saleable days of all varieties in a timed task mode, records the saleable days and keeps dynamic updating.
And in the fourth step, according to the calculation results of the number of sales days of all the varieties in the third step, the varieties with the inventory support time less than three days are sent out to a store in a short message and system notification mode to give out inventory early warning to the store responsible person, and meanwhile, a purchase plan list is automatically generated for the varieties with the inventory early warning according to the daily sales rate and the sales time of one week, wherein the purchase plan list comprises purchase order numbers, order placing time, variety goods numbers, names, specifications, units, purchase price, purchase quantity, purchase amount, manufacturer, approval document numbers and the like.
And in the fifth step, the shop leader confirms the purchase plan list automatically generated in the fourth step, and requests for purchase after verification and confirmation so as to prepare goods in advance and prevent the goods of the variety from being broken.
The invention solves the problems that the sales rate of the operation varieties cannot be predicted and the goods cannot be supplemented accurately in time in the existing store.
Drawings
The invention is further described below with reference to the accompanying drawings:
FIG. 1 is a block flow diagram of the method of the present invention.
Detailed Description
As shown in fig. 1, the present invention specifically comprises the following steps:
step one, recording the daily sales records of all varieties in detail;
step two, regularly counting the daily, weekly and monthly sales rates of all varieties every day and sequencing;
predicting the number of sellable days in the current stock according to the selling rate of the variety;
fourthly, sending out inventory early warning to the variety with the inventory support time less than three days and automatically generating a purchase planning sheet;
and step five, confirming the purchasing plan list by the shop assistant and requesting for purchasing.
In the first step, the daily sales records of all varieties in the store are recorded in detail, wherein the sales records comprise sales order numbers, sales time, variety and goods numbers, names, specifications, units, sales prices, sales numbers, money amounts, batch numbers, production dates, validity periods, manufacturers, approved documents and the like.
In the second step, the system regularly counts the daily, weekly and monthly sales rate of all varieties every day in a timing task mode, and the method for counting the daily, weekly and monthly sales rate comprises the following steps:
(1) the daily sales rate takes the last seven days or fifteen days as a statistical unit, the total sales quantity of each variety in the statistical unit is calculated, and the total sales quantity is divided by the days in the statistical unit, namely the average daily sales quantity of each variety;
(2) the weekly sales rate takes the last month or three months and three months as a statistical unit, the total sales number of each variety in the statistical unit is calculated, and the total sales number is divided by the total weeks in the statistical unit, namely the average weekly sales number of each variety;
(3) and (4) calculating the total sales quantity of each variety in a statistical unit by taking the last half year or one year as the statistical unit, and dividing the total sales quantity by the total number of months in the statistical unit to obtain the average monthly sales quantity of each variety.
The sales rates of all varieties in the daily, weekly and monthly periods are arranged in a descending order, so that the sales rates of all varieties can be seen by the responsible person of the store.
In the third step, the number of the marketable days of the variety is calculated according to the daily selling rate of all the varieties calculated in the second step and the current inventory of the varieties, and the calculation method comprises the following steps: the number of saleable days = the current total stock/daily sales rate of the breed; the system automatically calculates the number of saleable days of all varieties in a timed task mode and records the days.
And step four, according to the calculation results of the number of sales days of all the varieties in the step three, delivering the inventory early warning to a store responsible person in a short message and system notification mode for the variety with the inventory support time less than three days, and automatically generating a purchase plan list including purchase order numbers, order placing time, variety goods numbers, names, specifications, units, purchase price, purchase quantity, purchase amount, manufacturer, approval document numbers and the like for the variety with the inventory early warning at the daily sales rate and the sales time of one week.
And step five, the shop principal confirms the purchase plan list automatically generated in the step four, and purchases and requests goods after the verification and confirmation so as to prepare goods in advance and prevent the goods of the variety from being broken.
Claims (8)
1. A method for realizing intelligent purchasing of stores based on an Internet platform is characterized by comprising the following steps:
step one, recording the daily sales records of all varieties in detail;
step two, regularly counting the daily, weekly and monthly sales rates of all varieties every day and sequencing;
predicting the number of sellable days in the current stock according to the selling rate of the variety;
fourthly, sending out inventory early warning to the variety with the inventory support time less than three days and automatically generating a purchase planning sheet;
and step five, confirming the purchasing plan list by the shop assistant and requesting for purchasing.
2. The method for realizing intelligent shopping of stores based on the internet platform as claimed in claim 1, wherein: in the first step, the daily sales records of all varieties in the store are recorded in detail, wherein the daily sales records comprise sales order numbers, sales time, variety and goods numbers, names, specifications, units, sales prices, sales numbers, money amounts, batch numbers, production dates, validity periods, manufacturers, approved literature numbers and the like.
3. The method for realizing intelligent shopping of stores based on the internet platform as claimed in claim 1, wherein: in the second step, the system regularly counts the daily, weekly and monthly sales rate of all varieties every day in a timing task mode, and the method for counting the daily, weekly and monthly sales rate comprises the following steps:
(1) the daily sales rate takes the last seven days or fifteen days as a statistical unit, the total sales quantity of each variety in the statistical unit is calculated, and the total sales quantity is divided by the days in the statistical unit, namely the average daily sales quantity of each variety;
(2) the weekly sales rate takes the last month or three months and three months as a statistical unit, the total sales number of each variety in the statistical unit is calculated, and the total sales number is divided by the total weeks in the statistical unit, namely the average weekly sales number of each variety;
(3) and (4) calculating the total sales quantity of each variety in a statistical unit by taking the last half year or one year as the statistical unit, and dividing the total sales quantity by the total number of months in the statistical unit to obtain the average monthly sales quantity of each variety.
4. The method for realizing intelligent shopping of stores based on the internet platform as claimed in claim 3, wherein: and D, performing descending arrangement on the daily, weekly and monthly sales rates of all the varieties in the step two, so that the sales rates of all the varieties can be seen by the responsible person of the store at a glance.
5. The method for realizing intelligent shopping of stores based on the internet platform as claimed in claim 1, wherein: in the third step, the number of the marketable days of the variety is calculated according to the daily selling rate of all the varieties calculated in the second step and the current inventory of the varieties, and the calculation method comprises the following steps: the number of marketable days = current total stock of the breed/rate of daily sale of the breed.
6. The method for realizing intelligent shopping of stores based on the internet platform as claimed in claim 5, wherein: the system automatically calculates the number of saleable days of all varieties in a timed task mode, records the saleable days and keeps dynamic updating.
7. The method for realizing intelligent shopping of stores based on the internet platform as claimed in claim 1, wherein: and in the fourth step, according to the calculation results of the number of sales days of all the varieties in the third step, the varieties with the inventory support time less than three days are sent out to a store in a short message and system notification mode to give out inventory early warning to the store responsible person, and meanwhile, a purchase plan list is automatically generated for the varieties with the inventory early warning according to the daily sales rate and the sales time of one week, wherein the purchase plan list comprises purchase order numbers, order placing time, variety goods numbers, names, specifications, units, purchase price, purchase quantity, purchase amount, manufacturer, approval document numbers and the like.
8. The method for realizing intelligent shopping of stores based on the internet platform as claimed in claim 1, wherein: and in the fifth step, the shop leader confirms the purchase plan list automatically generated in the fourth step, and requests for purchase after verification and confirmation so as to prepare goods in advance and prevent the goods of the variety from being broken.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811353366.1A CN111192068A (en) | 2018-11-14 | 2018-11-14 | Method for realizing intelligent shop purchasing based on Internet platform |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811353366.1A CN111192068A (en) | 2018-11-14 | 2018-11-14 | Method for realizing intelligent shop purchasing based on Internet platform |
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| CN111192068A true CN111192068A (en) | 2020-05-22 |
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| CN201811353366.1A Pending CN111192068A (en) | 2018-11-14 | 2018-11-14 | Method for realizing intelligent shop purchasing based on Internet platform |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112785229A (en) * | 2021-01-22 | 2021-05-11 | 上海爱钢国际贸易有限公司 | Electronic commerce transaction system for metal materials based on big data |
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- 2018-11-14 CN CN201811353366.1A patent/CN111192068A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112785229A (en) * | 2021-01-22 | 2021-05-11 | 上海爱钢国际贸易有限公司 | Electronic commerce transaction system for metal materials based on big data |
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Application publication date: 20200522 |